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 underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
This paper addresses the crucial issue of data protection in cloud networks through the utilization of password-based identification and authenticatio...
This project delves into the transformative potential of integrating blockchain technology into real estate transactions, with a primary focus on enha...
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilis...
This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban...
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
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 ...
This paper presents development of a Multi Level Intrusion Detection System (MLIDS) for cloud-based log management using machine learning technique. T...
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
This study focuses on optimizing the power factor of distribution transformers through the implementation of a shunt capacitor bank. By sizing and dep...
Showing 1 to 12 of 164 papers
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