IJCSMC Journal
International Journal of Computer Science and Mobile Computing (IJCSMC) is a scholarly online, open access, peer-reviewed, interdisciplinary, monthly, and fully refereed journal focusing on theories, methods and applications in computer science and relevant fields. IJCSMC is published by ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden. It is an international scientific journal that aims to contribute to the constant scientific research and training, so as to promote research in the field of computer science.
Address: ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden
Address: ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden
less
InterestsView All (21)
Uploads
Papers by IJCSMC Journal
Case studies demonstrate the real-world impact of these models, showing substantial improvements in early detection and personaliSed treatment. However, challenges persist, particularly in data security, interdisciplinary collaboration, and ethical AI deployment. This review identifies existing research gaps and proposes future directions, emphasizing the ongoing need for innovation in predictive modelling. The insights provided are intended to inform researchers, clinicians, and policymakers in advancing AI-driven strategies for diabetes prediction and prevention.
The introduced method will simplify the process of message cryptography by applying simple reordering operations and eliminating the need to use a complex og logical operations used in other methods of message cryptography.
The proposed method will be implemented and tested using various short, medium and long messages, the obtained results will be analyzed to prove the enhancements provided by the proposed method in: speed, quality and sensitivity of message cryptography.
Case studies demonstrate the real-world impact of these models, showing substantial improvements in early detection and personaliSed treatment. However, challenges persist, particularly in data security, interdisciplinary collaboration, and ethical AI deployment. This review identifies existing research gaps and proposes future directions, emphasizing the ongoing need for innovation in predictive modelling. The insights provided are intended to inform researchers, clinicians, and policymakers in advancing AI-driven strategies for diabetes prediction and prevention.
The introduced method will simplify the process of message cryptography by applying simple reordering operations and eliminating the need to use a complex og logical operations used in other methods of message cryptography.
The proposed method will be implemented and tested using various short, medium and long messages, the obtained results will be analyzed to prove the enhancements provided by the proposed method in: speed, quality and sensitivity of message cryptography.