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...
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
This paper focuses on improving the performance of the SCADA network in a 330/132kV transmission station by employing a phasor-based intelligent monit...
This paper presents the reduction and control of congestion in multi-tier 4G-LTE-A network using hybrid artificial intelligence technique. The study...
Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...
The speed at which developing economies are adopting cloud technologies has begun redefining not only industries but also public services. With this c...
The rapid evolution of cyber threats, particularly botnet attacks, poses significant risks to network security, challenging traditional defence mechan...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
This work presents improving the power generation efficiency of wind turbine generation using wind tracker. The aim is to optimize the performance of ...
Showing 1 to 12 of 170 papers
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