Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
Pancreatic Cancer (PC) is among the deadliest forms of cancer, with a high mortality rate due to its often-late diagnosis. Early detection plays a cri...
This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...
This paper presents enhance transmission energy efficiency in an LTE heterogeneous network using adaptive cell selection algorithm. This was embarked ...
This work is presented to demonstrate the principles and technical procedure for energy hybridization in optimal Unmanned Aerial Vehicle (UAV) operati...
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
This paper addresses the crucial issue of data protection in cloud networks through the utilization of password-based identification and authenticatio...
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 the development of an e-nose for the detection of hazardous gases using a machine learning approach. The aim was to develop an int...
Showing 1 to 12 of 149 papers
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