Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with liter...
This paper is targeted at improving the performance of an obstacle avoidance autonomous mobile robot using transfer learning technique. This research ...
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
The proliferation of 5G networks has revolutionized communication paradigms, introducing unprecedented speeds and connectivity. However, the dense dep...
This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...
Ensuring real-time data transfer in Wireless Industrial Control System (WICS) networks has been a persistent challenge, marked by issues such as secur...
This research addresses the limitations of the current wireless network due to fixed spectrum assignment, leading to inefficient spectrum usage and ne...
Showing 37 to 48 of 179 papers
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