The paper is a design and a realization of a deep learning-driven image classification system with the use of Convolutional Neural Networks (CNNs). Th...
The rapid evolution of cyber threats, particularly botnet attacks, poses significant risks to network security, challenging traditional defence mechan...
This paper presents the design of a lightweight, deep learning model, based on MobileNetV2, to classify navigation decisions in a discrete robot path-...
This study presents the design and implementation of an online fund leasing record management system using Odoo, an open-source Enterprise Resource Pl...
Robotic manipulators have become a cornerstone of modern automation, playing a critical role in industrial production, healthcare systems, space explo...
The aim of this study is design and implementation of pest management system for precision agriculture using integrated transfer learning and internet...
This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
This paper presents the development of an artificial intelligence-based short-term load forecasting system for demand site management of the Trans-Eku...
ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
Adversarial attack is an attack tactics employed by cybercriminals to deceive modern network security systems and penetrate networks for cyber attack....
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
Showing 169 to 179 of 179 papers
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