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Volume 1 Issue X, Oct 2022
DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE BASED BIOMETRIC TECHNOLOGY

*Nzeh Chika D., **Inyama Hyacinth C.

This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with literature review of related works which revealed...

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MODELING A DEEP LEARNING AND FUZZY LOGIC-BASED BEHAVIORAL APPROACH FOR AUTONOMOUS NAVIGATION OF A ROBOT IN A GLOBAL POSITIONING SYSTEM (GPS) DENIED ENVIRONMENT

*Innocent Ifeanyichukwu Eneh, **Princewill Chigozie Ene, ***Emmanuel C. Obasi

This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioning System (GPS) denied environment. The study w...

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DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING BIOMETRIC BASED CONVOLUTIONAL NEURAL NETWORK

*Nzeh Chika D., **Inyama Hyacinth C.

This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with literature review of related works which revealed th...

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A PREDICTIVE ALGORITHM FOR EARLY DETECTION OF NEUROPATHIC DIABETES USING MACHINE LEARNING

*Eze Jennifer C., **Ezeh Ebere M., ***Chibueze Kingsley I., ****Kekong Pius E.

This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a machine learning model which can classify features...

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