It is impossible to develop a fault free system, regardless of how perfect the design might be, as time improves the system reliability and mean time ...
Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage ...
This paper on improving the precision of electro-pneumatic actuator based robotic bottle capper using Adaptive Model Predictive Control is focused on ...
Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
This paper presents the reduction of harmonic distortion in power transmission system using passive Fourier filtering technique The aim was to minimiz...
This paper on the improvement of fuel consumption using an intelligent neuro-based MPC of aheavy-duty vehicle is focused on analyzing the performance ...
This paper presents an optimal control simulation of a diesel injection system using a Neuro model predictive-based Electronic Control Unit (ECU). The...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
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...
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with liter...
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