The growing prevalence of pipeline failures has given rise to significant economic, social, and environmental consequences, necessitating urgent inter...
In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essenti...
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
Quality education is a fundamental right, but individuals with impairments, such as vision loss, often face significant challenges in accessing equita...
The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power ou...
This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
This study presents improving the signal reception in 4G network using an intelligent beam forming algorithm. The study was embarked on to address the...
This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
The speed at which developing economies are adopting cloud technologies has begun redefining not only industries but also public services. With this c...
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with li...
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
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