Papers by Qazi Omair Ahmed
Journal of Artificial Intelligence General Science (JAIGS), 2024
The rapid growth of cloud computing has led to an increased demand for security mechanisms to saf... more The rapid growth of cloud computing has led to an increased demand for security mechanisms to safeguard sensitive data and resources from cyber threats. Intrusion detection systems (IDS) play a crucial role in identifying unauthorized access or malicious activities within cloud environments. This paper presents a comparative study of machine learning (ML) techniques used in intrusion detection for cloud computing platforms. Various ML algorithms, including decision trees, support vector machines, k-nearest neighbors, and neural networks, are evaluated based on their performance in detecting different types of attacks. The study assesses the accuracy, efficiency, and scalability of these techniques in cloud environments, highlighting their strengths and limitations. The findings provide valuable insights into the selection of appropriate machine learning models for effective intrusion detection in dynamic and scalable cloud systems.
International Journal of Innovative Science and Research Technology (IJISRT), 2024
The P.E.R.A. (Precision, Efficiency, Reliability, and Adaptability) Data Collection System is the... more The P.E.R.A. (Precision, Efficiency, Reliability, and Adaptability) Data Collection System is the innovative method of data gathering presented in aerospace exploration and scientific education. Existing methods of water rocket experimentation as a piece of scientific or engineering hardware have drawbacks that include poor accuracy, high cost, and rigidity of design, which limits the application of water rocket systems and the efficiency of experiments, making them suitable only for specialized environments. P.E.R.A. addresses these challenges by employing current sensors technology, wireless transmission system and modularity in design at a lower cost. This system is calculated to provide accurate readings of various flight parameters and thus allow its users, including students, researchers and educators to carry out their experiments with enhanced accuracy. In addition to its technological developments, P.E.R.A. innovate ways of making highly developed bibliographic tools available to institutions across the world and level the playing field for aerospace research. Thus, the system is providing the much needed link between underfunded academic institutions and wellequipped laboratories all over the world, thus enabling more accessible Aerospace research for people everywhere. In this paper, I take a closer look at the development process of P.E.R.A., and explain how it incorporates its technical aspects, how to use it, and how it can be extended. Several of the case studies illustrate how it is utilized to record important flight data for learning as well as career needs. Also, how P.E.R.A may help in moving human civilization to space and kindle the spirit of exploration is considered. This revolutionary system not only solves present constrains but also defines a new paradigm of data acquisition within aerospace learning and research.
International Research Journal of Engineering and Technology (IRJET), 2021
This project discusses how to predict dengue fever cases and hotspots in a city based on populati... more This project discusses how to predict dengue fever cases and hotspots in a city based on population density, weather data and historical trend of cases. This can help the authorities concerned to take early action to prevent outbreak of dengue and prevent loss of lives and monetary loss. This uses machine learning techniques like random forest classifier and linear regression to predict the hotspots.
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Papers by Qazi Omair Ahmed