This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban...
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 signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeli...
The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...
This paper seeks to address the problem of congestion in 4G Wireless Local Area Network (WLAN) using fuzzy logic technique. To achieve this fuzzy logi...
Satellite Attitude Determination and Control Systems (ADCS) are critical for maintaining satellite stability and accurate orientation while in orbit. ...
This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system i...
The accomplishment of high demand of data via the internet transmission medium when fabrics Data are of higher demand during peak hours, has led to pa...
This paper presents addressing constraints of mobility management in 4G network through hybrid optimization technique. Literatures were reviewed and r...
Showing 109 to 120 of 174 papers
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