Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
This study presents the design and implementation of a real-time traffic sign detection system using a transfer learning approach based on the YOLOv8s...
The growth of the utilization of Internet of Things (IoT) and cyber-physical systems (CPS) in the healthcare sector has come along with new vulnerabil...
The Java programming language's Object-Oriented Programming (OOP) characteristics are thoroughly examined in this paper, along with their benefits and...
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
The growing appreciation and usage of cloud computing has heightened the need for a sound network-management practice, particularly under a dynamic an...
The weed invasion is one of the most severe challenges to sustainable rice production, which diminishes crop production and over depends on herbicides...
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
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