The rapid growth of social media has made image sharing a common part of daily communication, but it has also increased the spread of manipulated and misleading images. Fake images can influence public opinion, damage reputations, and contribute to the circulation of false information. This study presents a Hybrid Deep...
Shankarpally Bhargavi, G.Rajini· International Journal of Eng...· 0 citations
An AI-Powered Multilingual Story Generation and Speech Synthesis System that automatically generates meaningful stories from user-provided keywords that reduces manual effort, supports multilingual communication, and enhances storytelling through artificial intelligence.
J.Soumya, G.Rajini· International Journal of Dat...· 0 citations
Experimental results indicate that the proposed hybrid approach effectively identifies threatrelated news, with the Random Forest model providing slightly better classification performance than XGBoost.
G. B. Prasad, G.Rajini· International Journal of Eng...· 0 citations
An intelligent system that automatically recognizes food items from images and provides an estimate of their calorie content using deep learning techniques, and keeps track of the total calories consumed and the remaining daily calorie allowance, helping users monitor their eating habits.
M. Harshavardhan, G.Rajini· International Journal of Eng...· 0 citations
This work presents an intelligent approach for improving web application security through the prediction and detection of SQL injection attacks using machine learning techniques, enabling faster, more reliable, and automated detection of SQL injection vulnerabilities.
D. A. Reddy, G.Rajini· International Journal of Eng...· 0 citations
This work presents an automated approach for estimating a person's age and identifying gender from facial images using deep learning techniques, employing a Convolutional Neural Network to learn facial characteristics directly from images, eliminating the need for manual feature extraction.
Raghu ram Kandula, G.Rajini· International Journal of Eng...· 0 citations
An intelligent Android malware detection framework that combines deep learning with the Equilibrium Optimizer to improve detection performance is presented, providing an effective and reliable solution for securing Android devices against evolving malware threats.
Aishwarya Eklar, G.Rajini· International Journal of Eng...· 0 citations
Malware has become one of the biggest threats to computer systems and digital networks, affecting individuals, businesses, and government organizations. Traditional malware detection methods mainly depend on signatures and predefined rules, making them less effective against newly developed and constantly evolving atta...
S.Srikar, G.Rajini· International Journal of Dat...· 0 citations
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