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Volume 4 Issue II, Feb 2025
IMPROVING THE PERFORMANCE OF HUB BASE TRANSCEIVER STATION USING HYBRID OF ADAPTIVE INTERFERENCE CANCELLER AND HIBERNATION MODE TECHNIQUE

Samuel C. Anih*, J. Eke, Emetu Chukwuma Kalu

The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceiver station. The research involved analyzing the ...

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SMART CYBER THREAT DETECTION AND MITIGATION USING DEEP PACKET INSPECTION AND DECEPTION BASED MACHINE LEARNING TECHNIQUE

OgbonnayaIrukwu Joe*, Kufre M. Udofia, Akaninyene Bernard Obot.

The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-volume data traffic. Modern-day attackers utili...

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DEVELOPMENT OF AN INTELLIGENT ROBOTIC GRIPPER FOR OBJECT MANIPUTATION USING ADAPTIVE CONTROLLER

Engr. Dr. Harbor M.C.(Ph.D.)

This study presents development of an intelligent robot gripper for précised object manipulation using adaptive controller. The aim was to counter the impact of slip and position displacement cons...

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DEVELOPMENT OF A DEEP LEARNING MODEL FOR THE PREVENTION AND CONTROL OF ROAD ACCIDENT

Engr. Dr. Harbor M.C.(Ph.D.)

This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed to improve vehicle safety by providing real time...

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A HYBRID DEEP LEARNING APPROACH FOR THE EARLY DETECTION OF DRIVER DROWSINESS

Engr. Dr. Harbor M.C.(Ph.D.)

Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering the condition of the driver's eyes, this study ...

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