Rajesh Kumar

Malicious URL detection using multi-layer filtering model

2017

Malicious URLs are harmful to every aspect of computer users. Detecting of the malicious URL is very important. Currently, detection of malicious webpages techniques includes black-list and white-list methodology and machine learning classification algorithms are …

Very Short-Term Photovoltaic (PV) Power Forecasting Using Deep Learning (LSTMs)

2021 · 2021 International Conference on Intelligent Technologies (CONIT)

Transition from carbon-intensive sources to renewable energy sources is of paramount importance and will curb effects of greenhouse gas emissions. India has witnessed rapid expansion in the solar power sector. Prime utilization of solar power …

Multimodal Large Language Models in the Era of Distributed AI

2025 · HAL (Le Centre pour la Communication Scientifique Directe)

<div> The rapid advancements in Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have revolutionized artificial intelligence (AI), enabling unprecedented capabilities in natural language processing (NLP), computer vision, and multimodal reasoning. This survey …

Weak Links in LinkedIn: Enhancing Fake Profile Detection in the Age of LLMs

2025 · arXiv (Cornell University)

Large Language Models (LLMs) have made it easier to create realistic fake profiles on platforms like LinkedIn. This poses a significant risk for text-based fake profile detectors. In this study, we evaluate the robustness of …