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View article: DeepGuard: A Study on the Use of Deep Learning and NLP in Analyzing Digital Communications to Prevent Social Engineering Attacks
DeepGuard: A Study on the Use of Deep Learning and NLP in Analyzing Digital Communications to Prevent Social Engineering Attacks Open
Social engineering is regarded to be one of the most widespread attacks regarding cybersecurity. They are not grounded in a technical weakness of the system and unlawfully access sensitive information but on a human psyche. The conservativ…
View article: Phishing Attack Detection and Prevention in Educational Institutions Using Machine Learning: A Quantitative Experimental Design with Embedded Impact Analysis on Cybersecurity
Phishing Attack Detection and Prevention in Educational Institutions Using Machine Learning: A Quantitative Experimental Design with Embedded Impact Analysis on Cybersecurity Open
Phishing has remained among the most critical cybersecurity challenges in the Philippines particularly in schools and universities where students, teachers and staffs often share information over the Internet. The research, Phishing Attack…
View article: ENERGY-EFFICIENT CLOUD DATA CENTRES USING AI-BASED DYNAMIC RESOURCE MANAGEMENT
ENERGY-EFFICIENT CLOUD DATA CENTRES USING AI-BASED DYNAMIC RESOURCE MANAGEMENT Open
The rapid growth of cloud computing services has led to a significant increase in the energy consumption of data Centres, posing both economic and environmental challenges. To address this issue, there is a growing need for intelligent and…
View article: AI IS NOT INTELLIGENT
AI IS NOT INTELLIGENT Open
View article: A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders Open
Autism Spectrum Disorder (ASD) is a neuro developmental condition that significantly impacts the daily lives of those affected. While complete eradication remains challenging, early interventions can help alleviate its severity. This study…
View article: “An Empirical study on Enhancing Employee Engagement and Job Performance through Self-Determination Theory: The Role of Artificial Intelligence in Karnataka’s Banking Sector”
“An Empirical study on Enhancing Employee Engagement and Job Performance through Self-Determination Theory: The Role of Artificial Intelligence in Karnataka’s Banking Sector” Open
The The integration of Self-Determination Theory and Artificial Intelligence in facilitating employee engagement in job performance within the banking sector in Karnataka was explored. SDT states that three innate psychological needs are a…
View article: Hand Gesture Recognition
Hand Gesture Recognition Open
View article: Image Restoration Techniques: A Survey
Image Restoration Techniques: A Survey Open
During the process of image acquisition, sometimes images are degraded by various reasons.Image restoration is a challenging task in the field of Image processing.The process of recovering such degraded or corrupted image is called Image R…
View article: A Review on Optical Character Recognition Techniques
A Review on Optical Character Recognition Techniques Open
At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents.This paper presents detailed review in the field of Optical Character Rec…
View article: Cloud-Based Remote Venue Recommendation Framework
Cloud-Based Remote Venue Recommendation Framework Open
Now a days, recommendation systems have seen outstanding evolution in the field of knowledge engineering.Most of the existing recommendation systems based their models on collaborative filtering approaches that make them simple to implemen…