default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 42
Volume 42, Number 1, January 2025
Review
- Mariana Coelho, Martin Cerný
, João Manuel R. S. Tavares:
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review. - Anuradha Dahiya, Sukhdip Singh, Gulshan Shrivastava:
Android malware analysis and detection: A systematic review.
Original Article
- Shanza Rasham, Habib Ullah Khan, Fahad Maqbool, Muhammad Saad Razzaq, Sajid Anwar, Muhammad Ilyas:
Structured knowledge creation for Urdu language: A DBpedia approach. - Maria-Alexandra Paun, Mihai-Virgil Nichita, Vladimir-Alexandru Paun, Viorel Puiu Paun:
Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application. - Fahad Maqbool, Muhammad Fahad, Muhammad Ilyas, Hajira Jabeen:
Graph colouring using evolutionary computation: A case study of blind naked mole-rat algorithm. - Varun Ganjigunte Prakash, Manu Kohli, Aragulla Prasad Prathosh, Monica Juneja, Manushree Gupta, Smitha Sairam, Sadasivan Sitaraman, Anjali Sanjeev Bangalore, John Vijay Sagar Kommu, Lokesh Saini, Prashant Ramesh Utage, Nishant Goyal:
Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks. - Gousia Habib, Shaima Qureshi:
Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector. - Aparna Gopalakrishnan, Narayan P. Kulkarni, Chethan B. Raghavendra, Raghavendra Manjappa, Prasad B. Honnavalli, Sivaraman Eswaran:
PriMed: Private federated training and encrypted inference on medical images in healthcare. - Majed S. Balalaa, Anouar Ben Mabrouk:
A wavelet multifractal model for quality of life index measuring during pandemics and crises. - Selim Reza, Marta Campos Ferreira, José J. M. Machado, João Manuel R. S. Tavares:
A citywide TD-learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO. - José Machado, Carla Rodrigues, Regina Sousa, Luís Mendes Gomes:
Drug-drug interaction extraction-based system: An natural language processing approach. - Divager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha, Nurfadhlina Mohd Sharef, Teh Noranis Mohd Aris:
Flock optimization induced deep learning for improved diabetes disease classification. - Sarhang Salahadin Saleh, Khairi Ali Auso:
The role of transformational leadership in enhancing competitive advantage for E-business analysis in organisational practices. - Sabrine Arfaoui, Nidhal Ben Abdallah:
Robustness and sensitivity of some wavelet multifractal models in fractal data modelling. - Maragoni Mahendar, Arun Malik, Isha Batra:
Emotion estimation model for cognitive state analysis of learners in online education using deep learning. - Madala Guru Brahmam, R. Vijay Anand:
MBRSDTC: Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task-level constraints. - Belhassen Akrout:
Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier. - Sagnik Sarkar, Shaashwat Agrawal, Aditi Chowdhuri, Ramani Selvanambi:
Progressive search personalization and privacy protection using federated learning. - Joshua Samual, Masnida Hussin, Nor Asilah Wati Abdul Hamid, Azizol Abdullah:
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre. - Felipe Buitrago, Luis Fernando Castillo Ossa, Jeferson Arango-López:
Automatic detection surface defects based on convolutional neural networks and deflectometry. - Nuha Qais Abdulmajeed, Belal Al-Khateeb, Mazin Abed Mohammed:
Voice pathology identification system using a deep learning approach based on unique feature selection sets. - Allan Messeder Caldas Bretas, Alexandre Mendes, Stephan K. Chalup, Martin Jackson, Riley Clement, Claudio Sanhueza:
Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Bàrbara Llacay, Gilbert Peffer:
Categorical surrogation of agent-based models: A comparative study of machine learning classifiers. - Dalila Durães, Flávio Arthur O. Santos, Francisco Supino Marcondes, Niklas Hammerschmidt, Paulo Novais:
Applying multisensor in-car situations to detect violence. - Zichen Wu, Jingyi He, Siyuan Hu, Jiabao Wen:
The prediction of two-dimensional intelligent ocean temperature based on deep learning. - Haitao Hu, Piercarlo Cattani, Shuli Mei:
Hermite-Shannon-Cosine spectral method for fractional partial differential equations. - Vishwanath Madhava Shervegar:
A robust sliding window adaptive filtering technique for phonocardiogram signal denoising. - Huosong Xia, Yaqi Tian, Justin Zuopeng Zhang, Yulong Liu:
Exploring the impact of online news sentiment and relevance on stock market risks: A signalling theory perspective. - Borja Bordel, Ramón Alcarria, Tomás Robles:
Interferenceless coexistence of 6G networks and scientific instruments in the Ka-band. - Jun Ju, Hanna Kurniawati, Dirk P. Kroese, Nan Ye:
Model-based offline reinforcement learning for sustainable fishery management. - S. Nagarajan, P. Shobha Rani, M. S. Vinmathi, V. Subba Reddy, Angel Latha Mary Saleth, D. Abdus Subhahan:
Multi agent deep reinforcement learning for resource allocation in container-based clouds environments. - Xiaotong Wu, Jiaquan Gao, Muhammad Bilal, Fei Dai, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. - Yanzhe Ma:
Deep learning-based image processing for financial audit risk quantification in healthcare. - R. Mythili, B. Sathya bama, P. Santhosh Kumar, Sanchali Das, Ramya Thatikonda, Syed Inthiyaz:
Radial basis function networks with lightweight multiscale fusion strategy-based underwater image enhancement. - J. Syed Nizamudeen Ahmed, M. Mohamed Sathik, Krishnan Nallaperumal, Senthamarai Kannan Kaliaperumal, Parasuraman Kumar, T. Arumuga Maria Devi:
Deep learning techniques on 3D-MRI lung images for detection and segmentation of COVID-19 virus. - Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, Stephen Ojo, Prashant Kumar Shukla, Shraddha V. Pandit, Piyush Kumar Pareek, Hany S. khalifa:
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum. - Bhagyashri Devi, M. Mary Synthuja Jain Preetha:
Facial emotion recognition using convolutional neural network based krill head optimisation. - Fábio Caiado, Joana Fonseca, Joana Silva, Soraia Neves, Ana Moreira, Ramiro Gonçalves, José Martins, Frederico Branco, Manuel Au-Yong-Oliveira:
The impact of digital influencers on product/service purchase decision making - An exploratory case study of Portuguese people. - Okan Buyuktepe, Cagatay Catal, Gorkem Kar, Yamine Bouzembrak, Hans J. P. Marvin, Anand Gavai:
Food fraud detection using explainable artificial intelligence. - Suvarna Joshi, Stephen Ojo, Sangeeta Yadav, Preeti Gulia, Nasib Singh Gill, Hassan Alsberi, Ali Rizwan, Mohamed M. Hassan:
Object detection and classification from compressed video streams. - Kapil Aggarwal, Bui Thanh Khoa, K. V. Daya Sagar, Ruchi Agrawal, Mallika Dhingra, Jagrit Dhingra, Lakshmana Kumar:
Marketing information system based on unsupervised visual data to manage transportation industry using signal processing. - Mamoune Benaida, Ibtissam Abnane, Ali Idri:
Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Yibo Wang, Meng Xi, Yubo Weng:
Intelligent path planning algorithm of Autonomous Underwater Vehicle based on vision under ocean current. - Thanh Manh Le, Nguyen Thi Dinh, Thanh The Van:
Developing a model semantic-based image retrieval by combining KD-Tree structure with ontology. - Hasnae Zerouaoui, Ali Idri, Omar El Alaoui:
DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - R. Thilagavathy, J. Jagadeesan, A. Parkavi, M. Radhika, S. Hemalatha, Mohammad Gouse Galety:
Digital transformation in healthcare using eagle perching optimizer with deep learning model. - Mahesh Boddu, Soumitra Kumar Mandal:
VLSI implementation of image compressor using probabilistic run length coding. - Aaishwarya Khalane, Rikesh Makwana, Talal Shaikh, Abrar Ullah:
Evaluating significant features in context-aware multimodal emotion recognition with XAI methods. - Qi Yang, Songhu Liu, Tianzhuo Gong:
Improve the application of reinforcement learning and multi-modal information in music sentiment analysis. - Azath Mubarakali, A. Shobanadevi, Hazhar Omer Mohammed, Rahul Pradhan, Vuyyuru Lakshma Reddy, B. Bizu, V. Praveena:
Advancements in business processes to improve business marketing processes through advanced signal processing. - Jing Nie, Jiachen Jiang, Yang Li, Huting Wang, Sezai Ercisli, LinZe Lv:
Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges. - Saurabh Agarwal, K. V. Arya:
CXRNet: CNN-attention based CXR image classifier. - S. Sreelakshmi, V. S. Anoop:
A deep convolutional neural network model for medical data classification from computed tomography images. - Guiling Song, Wei Xu:
A method of automatic field of view generation and path planning for automated x-ray inspection. - Dongxia Zheng, Yi Yuan:
Pose recognition of dancing images using fuzzy deep learning technique in an IoT environment. - Bahareh Amirshahi, Salim Lahmiri:
Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning. - Ahmed Alkhayyat, Ali Mahdi Zalzala, Asaad A. M. AL-Salih, Anwar Ja'afar Mohamad Jawad, Wameedh Riyadh Abdul Adheem, Jamshed Iqbal, Ibraheem Kasim Ibraheem, Waleed K. Ibrahim, Mustafa Musa Jaber, Asaad Shakir Hameed:
A novel class of adaptive observers for dynamic nonlinear uncertain systems. - Antonio Bruno, Davide Moroni, Massimo Martinelli:
Efficient adaptive ensembling for image classification. - Fuxian Ning, Jiahui Jin, Lingling Zhang, Da Wang:
Risk analysis of China's financial market collapse based on cloud computing and machine learning algorithms. - Vivekanandan Dharmalingam, Lakshmi Harika Palivela, Pugazhendi Elangovan:
Effective dehazing of night-time images using open dark channel prior and wavelet transform. - Jinjing Chi:
Speech recognition and artificial intelligence based on the development of music system. - Marinko Skare, Beata Gavurova, Volodymyr Polishchuk:
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions. - Huinan Liu, Mohd Feroz Shah De Costa bin Mohd Faris De Costa, Megat Al-lmran Bin Yasin, Qijie Ruan:
A study on how social media influences on impulsive buying. - Weiguang Liu, Abdulmajeed Alqhatani, Fatima Asiri, Ely Salwana:
Customer preference analysis towards online shopping decisions based on optimized feature extraction. - Zheng Xu, Yuzan Dai, Ji Liu:
An empirical study of blockchain-based models of interest margin of secondary capital bond issuance in the internet of things environment. - Himanshu Kumar Singh, Kedar Nath Singh, Amit Kumar Singh:
Secure transmission of ocean images using deep learning-based data hiding. - Meng Liu, Zhao Min, Li Li, Piercarlo Cattani, Shuli Mei:
Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations. - Ashwani Kumar Dubey, Jibi G. Thanikkal:
Deep learning based identification of aquatic and semi aquatic plants. - Wenli Shan:
Optimal pricing strategies and decision-making systems in e-commerce using integrated fuzzy multi-criteria method. - Muhammad Farman, Ali Akgül, Harish Garg, Dumitru Baleanu, Evren Hincal, Sundas Shahzeen:
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator. - Mengrui Zhu, Jiankun Wang:
Exploration and practice of data thinking in the application of E-Commerce art design course under the background of big data. - Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh:
Towards explainable metaheuristics: Feature extraction from trajectory mining. - C. Thangaraj, D. Easwaramoorthy, G. Muhiuddin, Bilel Selmi, Vladimir V. Kulish:
Fractal based automatic detection of complexity in COVID-19 X-ray images. - Jian Pi:
Electronic music composition thinking using visual learning and visual sensing technology. - Alexandru Capatina, Adrian Micu, Angela-Eliza Micu, Samuel Ribeiro-Navarrete:
Knowledge maps for large-scale group decision making in social media content analysis. - Jesús Ángel Román Gallego, María Luisa Pérez-Delgado, Marcos Luengo Viñuela, María-Concepción Vega-Hernández:
Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks. - Arslan Naseer, Muhammad Muheet Khan, Fahim Arif, Waseem Iqbal, Awais Ahmad, Ijaz Ahmad:
An improved hybrid model for cardiovascular disease detection using machine learning in IoT. - Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Juan Gómez-Romero, M. Dolores Ruiz, María J. Martín-Bautista:
An AI knowledge-based system for police assistance in crime investigation. - Momina Meer, Muhammad Attique Khan, Kiran Jabeen, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan:
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images. - Shuang Guo, Kun Wu, Seunggil Jeon, Xiaomin Yang:
IETAFusion: An illumination enhancement and target-aware infrared and visible image fusion network for security system of smart city. - Shitharth Selvarajan, Achyut Shankar, Mueen Uddin, Abdullah Saleh Alqahtani, Taher Al-Shehari, Wattana Viriyasitavat:
A smart decentralized identifiable distributed ledger technology-based blockchain (DIDLT-BC) model for cloud-IoT security. - Jeferson Arango-López, Gustavo A. Isaza, Fabian Ramirez, Néstor D. Duque, Jose Montes:
Cloud-based deep learning architecture for DDoS cyber attack prediction. - Chao Hua, Zhenhua Zhang, Jianjun Miao, Jingwei Han, Zhiyuan Zhu:
Spatial coordination and industrial pollution of urban agglomerations: Evidence from the Yellow River Basin in China. - Collins Ogundipe, Alex Ellery:
Adaptive solution to transfer learning of neural network controllers from earth to space environments. - Philippe Chassy, Jon Cole, Chloe Brennan:
Evolution of confrontation and cooperation in simple organisms as a function of environmental resources and cost of a conflict. - Shtwai Alsubai, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, Yasser Adnan Abu Jaish, Bader Hussain Alamer, Hussam Eldin Hussein Saad, Rashid Ayub:
Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems. - Andrea Vázquez-Ingelmo, Alicia García-Holgado, Francisco José García-Peñalvo, Roberto Therón, Ricardo Colomo Palacios:
A new frontier in dashboard design: Evaluating an innovative meta-modelling approach through expert insights. - Jairo Ivan Vélez Bedoya, Manuel González Bedia, Luis Fernando Castillo Ossa, Jeferson Arango-López, Jaime Díaz Arancibia:
Exploring deep learning techniques for illuminance estimation. - Manu Kohli, Arpan Kumar Kar, Shuchi Sinha, Swati Kohli:
Stakeholder perception towards a machine-learning-based digital platform for detection and management of autism spectrum disorder. - Yuhuan Kong:
Preventing and mitigating risks of rumours during major pandemics in the era of artificial intelligence: A perspective on vulnerability. - Hamad Naeem, Farhan Ullah, Gautam Srivastava:
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. - Anbar Hussain, Wajid Ali, Awais Ahmad, Muhammad Shahid Iqbal, Syed Atif Moqurrab, Anand Paul, Sohail Jabbar, Sheeraz Akram:
Enhancing COVID-19 misinformation detection through novel attention mechanisms in NLP. - Ramesh Kait, Sarbjit Kaur, Purushottam Sharma, Chhikara Ankita, Tajinder Kumar, Xiaochun Cheng:
Fuzzy logic-based trusted routing protocol using vehicular cloud networks for smart cities. - Junlin Qiu, Yongshan Shen, Jianchu Lin, Yuxin Qin, Jian Yang, Hengdan Lei, Minghui Li:
An enhanced method for surface defect detection in workpieces based on improved MobileNetV2-SSD. - Dipika Jain, Akshi Kumar:
AI unveiled personalities: Profiling optimistic and pessimistic attitudes in Hindi dataset using transformer-based models. - Pinki, Rakesh Kumar, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman, Subbulakshmi Pasupathi, Aarna Sood, Wattana Viriyasitavat, Assadaporn Sapsomboon, Amandeep Kaur:
Artificial intelligence-enabled smart city management using multi-objective optimization strategies. - Jing Liang, Yan Gong:
Security and privacy protection protocol based on edge computing in smart campus. - Khalid Haseeb, Tanzila Saba, Amjad Rehman, Naveed Abbas, Pyoung Won Kim:
AI-driven IoT-fog analytics interactive smart system with data protection. - José Alejandro Mosquera Asimbaya, Gabriel M. Ramirez, Jaime Díaz Arancibia:
Advancing democratic processes in Ecuador: A case study on neural network-driven OCR for election report verification. - Mohanad R. Aljanabi, Keivan Borna, Shamsollah Ghanbari, Ahmed J. Obaid:
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks. - Xiaohong Liu, Chengzhen Xu, Yinghao Pan, Xingchen Li, Qingyuan Zhu:
Data-driven allocation of renewables quota among regional power industries under the policy of renewable electricity standard. - Sami J. Habib, Paulvanna Nayaki Marimuthu:
Extracting the explore-exploit intelligence of Physarum to manage the sustainability of an enterprise network. - Shynar Mussiraliyeva, Milana Bolatbek, Gulshat Baispay:
Investigating long short-term memory approach for extremist messages detection in Kazakh language. - Fakhri Alam Khan:
Cloud-based provenance framework for duplicates identification and data quality enhancement. - Uday Mittal, Shivam Goyal, Egna Praneeth Gummana, Vinay Chamola, Shivi Agarwal, Trilok Mathur:
FoodBlock: A secure and cost-optimal framework for online food ordering using blockchain. - Chi Ho Lau, Sammy Chan:
Comparison on resilience and energy efficiency of authentication schemes in IoT networks. - Fancy Chelladurai, Nagappan Krishnaraj, K. Ishwarya, G. Raja, Chandrasekaran Shyamala:
Modelling of healthcare data analytics using optimal machine learning model in big data environment. - Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev, Ausra Suboniene, Aiste Kielaite-Gulla, Arturas Samuilis, Dziugas Jagminas, Kestutis Strupas:
Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Shumaila Khan, Iqbal Qasim, Wahab Khan, Khursheed Aurangzeb, Javed Ali Khan, Muhammad Shahid Anwar:
A novel transformer attention-based approach for sarcasm detection. - Limin Zhang:
Prediction of Liaoning province steel import and export trade based on deep learning models. - Chao Zhong, Pengjun Li, Jinlong Wang, Xiaoyun Xiong, Zhihan Lv, Xiaochen Zhou, Qixin Zhao:
Enterprise violation risk deduction combining generative AI and event evolution graph. - Ke Meng, Zhiyong Wu, Muhammad Bilal, Xiaoyu Xia, Xiaolong Xu:
Blockchain-enabled decentralized service selection for QoS-aware cloud manufacturing. - Madallah Alruwaili, Muhammad Hameed Siddiqi, Muhammad Idris, Salman Alruwaili, Abdullah Saleh Alanazi, Faheem Khan:
Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework. - Mohammed Salem Atoum, Ala Abdulsalam Alarood, Eesa Abdullah Alsolmi, Areej Obeidat, Moutaz Alazab:
Predictive Analysis of Global Terrorist Attacks Using Lexical Patterns Across Multiple Datasets.
Survey Article
- Alejandro Platas-López, Alejandro Guerra-Hernández, Marcela Quiroz-Castellanos, Nicandro Cruz-Ramírez:
A survey on agent-based modelling assisted by machine learning. - Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Towards adaptive and transparent tourism recommendations: A survey.
Volume 42, Number 2, February 2025
Review
- Mourad Jbene, Abdellah Chehri, Rachid Saadane, Smail Tigani, Gwanggil Jeon:
Intent detection for task-oriented conversational agents: A comparative study of recurrent neural networks and transformer models. - Qasem Abu Al-Haija, Ayat Droos:
A comprehensive survey on deep learning-based intrusion detection systems in Internet of Things (IoT). - Huanling Tang, Yulin Wang, Yu Zhang, Quansheng Dou, Mingyu Lu:
TS-Mixer: A lightweight text representation model based on context awareness. - Charaf Ouaddi, Lamya Benaddi, El Mahi Bouziane, Abdeslam Jakimi, Abdellah Chehri, Rachid Saadane:
DSL-Driven Approaches and Metamodels for Chatbot Development: A Systematic Literature Review.
Original Article
- Lakmini Herath, Dulani Meedeniya, Janaka Marasinghe, Vajira Weerasinghe, Tele Tan:
Autism spectrum disorder identification using multi-model deep ensemble classifier with transfer learning. - Allabaksh Shaik, Shaik Mahaboob Basha:
Leveraging YOLOv5s with optimization-based effective anomaly detection in pedestrian walkways. - Sultan Alfarhood:
Soutcom: Real-time sentiment analysis of Arabic text for football fan satisfaction using a bidirectional LSTM. - Habib Ur Rahman, Muhammad Asif Habib, Shahzad Sarwar, Awais Ahmad, Anand Paul, Yazeed Alkhrijah, Waeal J. Obidallah:
Al-based energy aware parent selection mechanism to enhance security and energy efficiency for smart homes in Internet of Things. - Ameer N. Onaizah, Yuanqing Xia, Ahmed J. Obaid, Khurram Hussain:
Deep learning based brain tumour architecture for weight sharing optimization in federated learning. - Jing Wang, Rundong Xin, Osama Alfarraj, Amr Tolba, Qitao Tang:
Privacy preserving security using multi-key homomorphic encryption for face recognition. - Alexânder Araújo Reis, Rafael Angelo Santos Leite, Cicero Eduardo Walter, Igor Bezerra Reis, Ramiro Gonçalves, José Martins, Frederico Branco, Manuel Au-Yong-Oliveira:
The hierarchical importance of patent's characteristics to licensing: An analysis through Random Forest. - Rahul Chiranjeevi Veluri, Shakir Khan, Senthil Pandi Sankareswaran, Mohammad Shabaz, Ahmed Farouk, Nisreen Innab:
Modified M-RCNN approach for abandoned object detection in public places. - Onkar Singh, Ajay Jaiswal, Nitin Kumar, Naveen Kumar:
Random permutation-based linear regression for cancelable biometrics. - Ashwani Kumar Dubey, Jibi G. Thanikkal, Puneet Sharma, Manoj Kumar Shukla:
A unique morpho-feature extraction algorithm for medicinal plant identification. - Hunish Bansal, Basavraj Chinagundi, Prashant Singh Rana, Neeraj Kumar:
Time series generative adversarial network for muscle force prognostication using statistical outlier detection. - Haojie Zhao, Shuang Guo, Gwanggil Jeon, Xiaomin Yang:
A multi-focus image fusion network deployed in smart city target detection. - Jiahai Dai, Huimin Li, Shan Jiang, Hongwei Yang:
An efficient object tracking based on multi-head cross-attention transformer. - Eduardo M. Rodrigues, Yassine Baghoussi, João Mendes-Moreira:
KDBI special issue: Explainability feature selection framework application for LSTM multivariate time-series forecast self optimization. - Lei Shi, Han Wu, Xu Ding, Hao Xu, Sinan Pan:
A generative adversarial network-based client-level handwriting forgery attack in federated learning scenario. - Moolchand Sharma, Aryan Bhatia, Akhil, Ashit Kumar Dutta, Shtwai Alsubai:
Optimizing hybrid deep learning models for drug-target interaction prediction: A comparative analysis of evolutionary algorithms. - Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong:
TMaD: Three-tier malware detection using multi-view feature for secure convergence ICT environments. - Ezaz Mohammed Al-dahasi, Rama Khaled Alsheikh, Fakhri Alam Khan, Gwanggil Jeon:
Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation. - Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Jihie Kim, Ji Su Park:
Predicting early depression in WZT drawing image based on deep learning. - Afonso Baldo, Paulo J. S. Ferreira, João Mendes-Moreira:
Sampling approaches to reduce very frequent seasonal time series. - Jian Zheng, Seunggil Jeon, Xiaomin Yang:
GRDATFusion: A gradient residual dense and attention transformer infrared and visible image fusion network for smart city security systems in cloud and fog computing. - Reda Salama:
Integrating spotted hyena optimization technique with generative artificial intelligence for time series forecasting. - Fakhri Alam Khan, Abdullah Khan, Muhammad Imran, Awais Ahmad, Gwanggil Jeon:
Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches. - Shruti, Shalli Rani, Wadii Boulila:
Securing internet of things device data: An ABE approach using fog computing and generative AI. - Shuhan Meng, Xianhua Wu, Hua Li, You Wu:
Trajectory mapping and future charting of hydrogen energy policy: A systematic review. - Yue Zhao, Farhan Ullah, Chien-Ming Chen, Mohammed Amoon, Saru Kumari:
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation. - Mritunjay Shall Peelam, Gaurav Kumar, Kunjan Shah, Vinay Chamola:
DemocracyGuard: Blockchain-based secure voting framework for digital democracy. - Alishba Nawaz, Waseem Iqbal, Ayesha Altaf, Abrar Almjally, Hatoon S. Alsagri, Bayan Ibrahimm Alabdullah:
CATcAFSMs: Context-based adaptive trust calculation for attack detection in fog computing based smart medical systems. - Yue Wang, Yin Wang, Yansu Qi, Sheng Miao, Weijun Gao:
Application of visual attribute transfer technology in analysing changes in emotional expression in picture books. - Liangpeng Wu, Yujing Tang, Qingyuan Zhu:
Selection preference and effectiveness quantification of provincial energy security policies in China. - Nishant Singh, Aruna Bhat:
Underwater image enhancement using contrast correction. - Yuping Liu, Honglong Chen, Xiaolong Liu, Wentao Wei, Huansheng Xue, Osama Alfarraj, Zafer Al-Makhadmeh:
Optimizing task allocation with temporal-spatial privacy protection in mobile crowdsensing. - Umit Demirbaga:
Advancing anomaly detection in cloud environments with cutting-edge generative AI for expert systems. - Sarah McAvinue, Kapal Dev:
Comparative evaluation of Large Language Models using key metrics and emerging tools. - Zhixiang Zhou, Yifei Zhu, Yannan Li, Huaqing Wu:
How does energy transition improve energy utilization efficiency? A case study of China's coal-to-gas program. - Chenquan Gan, Xinghai Xiao, Qingyi Zhu, Deepak Kumar Jain, Akanksha Saini, Amir Hussain:
Federated learning-driven dual blockchain for data sharing and reputation management in Internet of medical things. - Afifa Khelifa, Haythem Ghazouani, Walid Barhoumi:
Label distribution learning for compound facial expression recognition in-the-wild: A comparative study. - Otmane Mallouk, Nour-Eddine Joudar, Mohamed Ettaouil:
STP-CNN: Selection of transfer parameters in convolutional neural networks. - Peng Liang, Hang Tu, Amir Hussain, Ziyuan Li:
MTFDN: An image copy-move forgery detection method based on multi-task learning. - Zhonghui He, Biao Tang, Chan Gu, Ning Ran:
Enhanced Monte-Carlo tree search for dynamic flexible job shop scheduling with transportation time constraints. - Sushil Kumar Singh, Shailendrasinh Chauhan, Abdulrahman Alsafrani, Muhammad Islam, Hammad I. Sherazi, Inam Ullah:
Optimizing healthcare data quality with optimal features driven mutual entropy gain. - Said Yasin, Adrian Paschke, Jamal Al Qundus:
Prediction of stock prices with automated reinforced learning algorithms. - Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Morteza Monemizadeh:
On the gravitation-based classification: A novel algorithm using equilibrium points for enhanced learning and dimensionality reduction. - Shitharth Selvarajan, Hariprasath Manoharan, Adil Omar Khadidos, Alaa O. Khadidos, Achyut Shankar, Carsten Maple, Suresh Singh:
Generative artificial intelligence and adversarial network for fraud detections in current evolutional systems. - Siva Sai, Arun Kumar Giri, Vinay Chamola:
A novel hybrid random convolutional kernels model for price volatlity forecasting of precious metals. - Weiwei Yu, Siong Yuen Kok, Gautam Srivastava:
EmoiPlanner: Human emotion and intention aware socially acceptable robot navigation in human-centric environments. - Serkan Özen, Adnan Yazici, Volkan Atalay:
Hybrid deep learning models with data fusion approach for electricity load forecasting. - Ömür Aydogmus, Muhammed Fatih Talu:
Robotic frameless brain biopsy system enhanced by facial mesh registration. - Kashif Naseer Qureshi, Hanaa Nafea, Pyoungwon Kim:
Advancing healthcare systems: A tri-tier architecture by using data communication, AI data generative and regulation and compliance standards. - João Pinto da Silva, Ana Rita Nogueira, José Pinto, Manuel Curral, António Correia Alves, Ricardo Teixeira Sousa:
KDBI special issue: Time-series pattern verification in CNC turning - A comparative study of one-class and binary classification. - Cédric Marco-Detchart, Giancarlo Lucca, Miquéias Amorim Santos Silva, Jaime Andres Rincon, Vicente Julián, Graçaliz Pereira Dimuro:
Sliding window based adaptative fuzzy measure for edge detection. - Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Isabel Lema-Blanco, Adina Dumitru:
An agent-based model to simulate the public acceptability of social innovations. - Alaa Mohammad Menshawi, Mohammad Mehedi Hassan:
A novel triage framework for emergency department based on machine learning paradigm. - Mingqiang Wu, Zhuoming Xu, Lei Zheng:
Heterogeneous graph contrastive learning with adaptive data augmentation for semi-supervised short text classification. - Imran Arshad Choudhry, Saeed Iqbal, Musaed A. Alhussein, Adnan N. Qureshi, Khursheed Aurangzeb, Rizwan Ali Naqvi:
Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X-Ray Images on Cloud Computing. - Sneha Halebeedu Ramesh, Annappa Basava, Sankar Pariserum Perumal:
BENN: Balanced Ensemble Neural Network for Handling Class Imbalance in Big Data. - Bei Liu, Zhaoxuan Qiu, Jiachao Peng, Yaoyin Hu:
Temporal Evolution Pathway and Forecasting of Non-Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach. - Ismail Cantürk, Lale Özyilmaz:
A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development. - Sinh Van Nguyen, Son Thanh Le, Minh Khai Tran, Sach Thanh Le:
Filling the Holes on 3D Heritage Object Surface Based on Automatic Segmentation Algorithm. - Chen Xiong, Paul Honeine, Maxime Berar, Antonin Van Exem:
Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. - Pooja Kherwa, Jyoti Arora, Tripti Sharma, Deepali Gupta, Sapna Juneja, Ghulam Muhammad, Ali Nauman:
Contextual embedded text summarizer system: A hybrid approach. - Hongwei Chen, Man Zhang, Zexi Chen:
Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning. - Juan Pablo Consuegra-Ayala, Yoan Gutiérrez, Yudivián Almeida-Cruz, Manuel Palomar:
Bias mitigation for fair automation of classification tasks. - Minghui Liu, Sasa Yang, Xin Yao:
Energy Security, Intelligence and Innovation Quality: Evidence From China's New Energy Demonstration City Policy. - Francisco Rodríguez-Sánchez, Jorge Carrillo-de-Albornoz, Laura Plaza:
Leveraging Unsupervised Task Adaptation and Semi-Supervised Learning With Semantic-Enriched Representations for Online Sexism Detection. - Sanjeev Kumar, Vikas Ranjan, Arjab Chakrabarti, Tridib Kumar Das, Anushka Singh:
Efficient Biomedical Text Summarization With Quantized LLaMA 2: Enhancing Memory Usage and Inference on Low Powered Devices. - Mariano Albaladejo-González, Rubén Gaspar Marco, Félix Gómez Mármol, Justin Reich, José A. Ruipérez-Valiente:
Improving Teacher Training Through Emotion Recognition and Data Fusion. - Marzia Canzaniello, Stefano Izzo, Diletta Chiaro, Antonella Longo, Francesco Piccialli:
CAPTURE - Computational Analysis and Predictive Techniques for Urban Resource Efficiency. - Meaghan Charest-Finn, Rickey Dubay:
General Industrial Process Optimization Method to Leverage Machine Learning Applied to Injection Moulding. - Amar Singh, Rajesh Kumar Shrivastava, Ashutosh Srivastava:
Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems. - Balaji T. K., Annushree Bablani, S. R. Sreeja, Hemant Misra:
TOPS: A Framework for Trusted Opinion Analysis of Product Reviews Using Hybrid Deep Learning Based D2CL Filter. - Francisco Javier Baldan, Diego García-Gil:
Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive. - Daoqu Geng, Shouzheng Wang, Yihang Zhang:
Multi-Objective Federated Averaging Algorithm. - Feng Wei, Xu Zhang:
Few-Shot Contrastive Learning-Based Multi-Round Dialogue Intent Classification Method. - Hyunsook Lee, Sekyoung Youm:
Developing a digital therapeutic for obesity management through 3D human body reconstruction. - George Varelas, Giannis Tzimas:
Interval Time Series Forecasting: An Innovative Approach Transforming Interval to Single Time Series. - Minji Kim, Joon Yoo, OkRan Jeong:
MeDi-TODER: Medical Domain-Incremental Task-Oriented Dialogue Generator Using Experience Replay. - Zain Ul Islam Adil, Majid Iqbal Khan, Kahkishan Sanam, Saif Ur Rehman Malik, Syed Atif Moqurrab, Gautam Srivastava:
LightAuth: A Lightweight Sensor Nodes Authentication Framework for Smart Health System. - Guoshuai Zhang, Jiaji Wu, Gwanggil Jeon, Penghui Wang:
A Social Group Chatbot System by Multiple Topics Tracking and Atkinson-Shiffrin Memory Model Using AI Agents Collaboration. - Zixiao Lin, Bin Tan, Yu Lin, Qin Lu:
Crude Oil Markets Volatility Forecasting: A Novel Deep Learning Hybrid Model. - Xiang Li, Long Lan, Husam Lahza, Shaowu Yang, Shuihua Wang, Wenjing Yang, Hengzhu Liu, Yu-Dong Zhang:
Dragon Boat Optimization: A Meta-Heuristic for Intelligent Systems. - Abdul Rehman, Jerry Chun-Wei Lin, Ilona Heldal:
Enhancing Psychologists' Understanding Through Explainable Deep Learning Framework for ADHD Diagnosis. - Imran Ahmed, Misbah Ahmad, Haythem Ghazouani, Walid Barhoumi, Gwanggil Jeon:
Intelligent Computing for Crop Monitoring in CIoT: Leveraging AI and Big Data Technologies. - Sheikh Bahauddin Arnab, Md Istakiak Adnan Palash, Rakibul Islam, Hemal Hossain Ovi, Mohammad Abu Yousuf, Md. Zia Uddin:
Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review. - Umesh Kumar Lilhore, Sarita Simaiya, Musaed A. Alhussein, Surjeet Dalal, Khursheed Aurangzeb, Amir Hussain:
An Attention-Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification. - Sudeshna Das, Abhishek Majumder, Suyel Namasudra, Ashish Singh:
Intrusion Detection Using CTGAN and Lightweight Neural Network for Internet of Things. - Pyoung Won Kim:
Fog Computing for Artificial Intelligence Digital Textbooks: Educational Scaffolding and Security and Privacy Challenges. - Pantea Koochemeshkian, Nizar Bouguila:
Flexible Distribution Approaches to Enhance Regression and Deep Topic Modelling Techniques. - Karam Bou Chaaya, Richard Chbeir, Mahmoud Barhamgi, Philippe Arnould, Djamal Benslimane:
An Ontology for In-Depth Description of User Situations in Connected Environments. - Jesús Gil Ruiz, Hernán Díaz, Rubén González Crespo:
The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects. - Maowei He, Zhixue Wang, Hanning Chen, Yang Cao, Lianbo Ma:
Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design. - Mousumi Rizia, Julio A. Reyes-Munoz, Angel G. Ortega, Ahsan Choudhuri, Angel Flores-Abad:
Intelligent Crack Detection in Infrastructure Using Computer Vision at the Edge. - Yaqin Liu, Xi Chen, Mengya Zhang, Ke Li, Daniel Santos da Silva, Victor Hugo C. de Albuquerque:
An Evolutionary Game Study of Consumers' Low-Carbon Travel Behavior Under Carbon-Inclusive Policy. - Anupam Kumar, Faiyaz Ahmad, Bashir Alam:
Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio-Inspired Mutated Spider-Monkey and Crow Search Algorithm. - Heewoong Lee, Deok Gyu Lee, Kihyo Nam, Mun-Kweon Jeong:
PC-Based User Continuous Authentication in the Artificial Intelligence Method and System Using the User's Finger Stroke Characteristics. - L. K. Pavithra, P. Subbulakshmi, Nirmala Paramanandham, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman:
Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model. - Pradip Dhal, Chandrashekhar Azad:
Zone Oriented Binary Multi-Objective Charged System Search Based Feature Selection Approach for Multi-Label Classification.
Survey Article
- Anjali Diwan, Reshma Sunil, Parita Mer, Rajesh Mahadeva, Shashikant P. Patole:
Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey.
Original Article
- Husnain Mushtaq, Xiaoheng Deng, Ping Jinag, Shaohua Wan, Rawal Javed, Irshad Ullah:
Point Class-Adaptive Transformer (PCaT): A Novel Approach for Efficient Point Cloud Classification and Segmentation. - Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O'Shea, Anand Kumar Mishra, Ankit Vidyarthi, Deepak Gupta:
Leveraging Transfer Learning Domain Adaptation Model With Federated Learning to Revolutionise Healthcare. - Raseena M. Haris, Mahmoud Barhamgi, Ahmed Badawy, Armstrong Nhlabatsi, Khaled M. Khan:
Enhancing Security and Performance in Live VM Migration: A Machine Learning-Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments. - Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdelmalik Taleb-Ahmed, David Camacho, Abdenour Hadid:
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection. - Álvaro Abad-Santjago, César Peláez-Rodríguez, Jorge Pérez-Aracil, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting. - Yuguo Liang, Guisheng Fan, Huiqun Yu, Mingchen Li, Zijie Huang:
Automatic Code Summarization Using Abbreviation Expansion and Subword Segmentation. - Muhammad Hameed Siddiqi, Madallah Alruwaili, Yousef Alhwaiti, Saad Awadh Alanazi, Faheem Khan:
A Novel Hyper-Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation. - Bei Tian, Gang Xiao, Yu Shen, Xingwei Jiang:
Optimal Task Allocation and Sequencing for Flight Test Based on a Memetic Algorithm With Lexicographic Optimisation. - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Muhammad Zubair, Amir Hussain:
A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. - Noemí Merayo, Alba Ayuso-Lanchares, Clara González-Sanguino:
Machine Learning Algorithms to Address the Polarity and Stigma of Mental Health Disclosures on Instagram.
Review
- Fatima Shannaq, Mohammad Shehab, Areej Alshorman, Mahmoud Hammad, Bassam Hammo, Wala'a M. AlOmari:
Exploring Metaheuristic Optimization Algorithms in the Context of Textual Cyberharassment: A Systematic Review.
Retraction
- RETRACTION: SVM-based Generative Adverserial Networks for Federated Learning and Edge Computing Attack Model and Outpoising.
- RETRACTION: Challenges and Vulnerability Evaluation of Smart Cities in IoT Device Based on Cybersecurity Mechanism.
- RETRACTION: Auxiliary Cognition System-Based Management Strategy Optimization of Supply Chain of New Energy in Oil-Gas Enterprises.
- RETRACTION: Supply Chain Operation Evaluation and Management Decision by Fuzzy Cognitive Map Model.
- RETRACTION: Adoption of Blockchain + Internet of Things in Demand Forecasting of Farm Supply Chain.
- RETRACTION: The Design for Supply Chain Management of Intelligent Logistics System Using Cloud Computing and the Internet of Things.
- RETRACTION: The Genetic Algorithm and BP Neural Network in Financial Supply Chain Management Under Information Sharing.
- RETRACTION: Supply Chain Risk Management of Badminton Supplies Company Using Decision Tree Model Assisted by Fuzzy Comprehensive Evaluation.
- RETRACTION: The Risk Evaluation and Management of the Sports Service Supply Chain by Introducing Fuzzy Comprehensive Appraisal and Artificial Intelligence Technology.
- RETRACTION: Cyber Security for Federated Learning Environment Using AI Technique.
- RETRACTION: Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning.
- RETRACTION: An Information Extraction Method Based on Improved Mixed Text Density Web Pages.
- RETRACTION: An Improved Differential Bond Energy Algorithm With Fuzzy Merging Method to Improve the Document Clustering for Information Mining.
- RETRACTION: The Construction of Enterprise's Financial Supply Chain Management Under Blockchain Technology.
This Article has been retracted
- Wumin Ke:
RETRACTED: The construction of enterprise's financial supply chain management under blockchain technology.
Retraction
- RETRACTION: Measuring Systemic and Systematic Risk in the Financial Markets Using Artificial Intelligence.
- RETRACTION: The Analysis of Optimized Path Selection for Management Mode of Coastal Regional Circular Economy Based on Fuzzy Decision Algorithm.
- RETRACTION: Intelligent Cognitive Evaluation of Ice and Snow Sports Training by Fuzzy Comprehensive Evaluation from the Perspective of Supply Chain Management.
- RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management.
- RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning.
- RETRACTION: The Design of Intelligent Fuzzy Cognitive System of Music Emotion by Product Supply Chain Management.
- RETRACTION: The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things.
- RETRACTION: DAE-GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising.
This Article has been retracted
- Abhishek Samanta, Aheli Saha, Suresh Chandra Satapathy, Hong Lin:
RETRACTED: DAE-GAN: An autoencoder based adversarial network for Gaussian denoising.
Retraction
- RETRACTION: Data-driven Decision-making Model Based on Artificial Intelligence in Higher Education System of Colleges and Universities.
- RETRACTION: An Efficient Deep Learning-based Video Captioning Framework Using Multi-modal Features.
This Article has been retracted
- Soumya Varma, Dinesh Peter James:
RETRACTED: An efficient deep learning-based video captioning framework using multi-modal features.
Retraction
- RETRACTION: Diagnosis of Depression Level Using Multimodal Approaches Using Deep Learning Techniques with Multiple Selective Features.
- RETRACTION: Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0.
- RETRACTION: Model Innovation of Students' Mental Health Education from the Perspective of Big Data.
- RETRACTION: Segmentation and Classification of Lymphoblastic Leukaemia Using Quantum Neural Network.
This Article has been retracted
- Javeria Amin, Muhammad Almas Anjum, Senka Krivic, Muhammad Imran Sharif:
RETRACTED: Segmentation and classification of lymphoblastic leukaemia using quantum neural network.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-21 19:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
