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...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
This study presents the design and implementation of a real-time traffic sign detection system using a transfer learning approach based on the YOLOv8s...
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...
Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...
This study develops a mathematical model using a system of differential equations to describe the dynamics of reinforcement and punishment on behaviou...
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
Adversarial attack is an attack tactics employed by cybercriminals to deceive modern network security systems and penetrate networks for cyber attack....
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
Pipeline gas leakage posessafety and environmental risks in the oil and gas industry which necessitates the adoption of efficient detection methods. T...
Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
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