The increasing frequency and sophistication of cyberattacks have exposed critical weaknesses in conventional information technology (IT) security arch...
Zero day malware attacks can be referred to as malicious software that exploits vulnerabilities unknown to vendors or security products which pose a s...
Depression represents one of the most common neurological and mental health issues worldwide, imposing a significant burden on quality of life and con...
This paper presents the development of an e-nose for the detection of hazardous gases using a machine learning approach. The aim was to develop an int...
Handwritten signature verification remains a widely used method of personal authentication in financial, legal, and administrative systems. However, m...
This study presents the design and implementation of an online fund leasing record management system using Odoo, an open-source Enterprise Resource Pl...
The deployment of fifth-generation (5G) mobile networks is characterized by the increased level of infrastructure complexity, which aggravates the pro...
This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
Agility farming is necessary in enhancing the productivity of agriculture with minimal environmental consequences. This research paper is a proposal o...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
This paper on improving the precision of electro-pneumatic actuator based robotic bottle capper using Adaptive Model Predictive Control is focused on ...
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