The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
The Revamped Mean Round Robin (RMRR) CPU scheduling algorithm is an impartial scheduling algorithm that gives same time quantum to all processes. Howe...
This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed t...
Quality education is a fundamental right, but individuals with impairments, such as vision loss, often face significant challenges in accessing equita...
Over the years, the increasing incidence of mortality among women due to breast cancer has posed a significant challenge, necessitating urgent solutio...
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...
This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system i...
Showing 97 to 108 of 157 papers
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