This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
Sepsis is a life-threatening disorder that may easily escalate to the deterioration of organs and death unless early detected and addressed. Early det...
This study developed an effective botnet detection and management system using machine learning techniques. An ensemble model combining Artificial Neu...
Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
This paper presents the development of an intranet-based staff management system with integrated instant messaging framework. The methodology employed...
This work presents improving the performance of intelligent smart grid monitoring using Phasor Measurement Unit (PMU) scheme. This was achieved studyi...
Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...
This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with li...
This paper addresses the crucial issue of data protection in cloud networks through the utilization of password-based identification and authenticatio...
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation ...