collaborators

6 papers

cs.CV2025

Redemption Score: A Multi-Modal Evaluation Framework for Image Captioning via Distributional, Perceptual, and Linguistic Signal Triangulation

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad +1

Evaluating image captions requires cohesive assessment of both visual semantics and language pragmatics, which is often not entirely captured by most metrics. We introduce Redempti…

cs.CL2025

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

With the rapid advancement of large language models like Gemini, GPT, and others, bridging the gap between the human brain and language processing has become an important area of f…

cs.CL2025

Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

Cyber threat detection has become an important area of focus in today's digital age due to the growing spread of fake information and harmful content on social media platforms such…

cs.LG2025

Analysis of Zero Day Attack Detection Using MLP and XAI

Ashim Dahal, Prabin Bajgai, Nick Rahimi

Any exploit taking advantage of zero-day is called a zero-day attack. Previous research and social media trends show a massive demand for research in zero-day attack detection. Thi…

cs.CV2025

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Algorithmic level developments like Convolutional Neural Networks, transformers, attention mechanism, Retrieval Augmented Generation and so on have changed Artificial Intelligence.…

cs.CV2024

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Vision Transformers (ViT) have recently brought a new wave of research in the field of computer vision. These models have performed particularly well in image classification and se…