This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
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...
Electronic and communication (real time application on computing system of cyber threat detection and mitigation)
Jul 24, 2026
Artificial intelligence (AI) has emerged as a transformative tool in addressing complex urban challenges, including traffic congestion in densely popu...
The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...
Recently, the need for efficient case management and the prompt delivery of justice has become increasingly evident as a catalyst to improve the integ...
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
This work presents improving congestion control in a packet-switched network using a fair queuing technique. The aim is to reduce the delay experience...
The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensurin...
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 ...