This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...
Recently, the need for efficient case management and the prompt delivery of justice has become increasingly evident as a catalyst to improve the integ...
This paper is targeted at improving the performance of an obstacle avoidance autonomous mobile robot using transfer learning technique. This research ...
In the field of accident control due to driver's drowsiness, the conventional approach involved monitoring and analyzing the driver's physiological si...
Satellite Attitude Determination and Control Systems (ADCS) are critical for maintaining satellite stability and accurate orientation while in orbit. ...
The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...
The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilis...
This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system i...
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
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...
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