32 citations · 36 across the 7 of their papers we have counts for
8 papers
Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model
Farida Siddiqi Prity, Mirza Raquib, Saydul Akbar Murad +3
Rice leaf diseases significantly reduce productivity and cause economic losses, highlighting the need for early detection to enable effective management and improve yields. This st…
Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images (Preprint)
Niloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi +3
Viruses are submicroscopic agents that can infect all kinds of lifeforms and use their hosts' living cells to replicate themselves. Despite having some of the simplest genetic stru…
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha +3
Conversational modeling using Large Language Models (LLMs) requires a nuanced understanding of context to generate coherent and contextually relevant responses. In this paper, we p…
Challenges in Blockchain as a Solution for IoT Ecosystem Threats and Access Control: A Survey
Suranjeet Chowdhury Avik, Sujit Biswas, Md Atiqur Rahaman Ahad +4
The Internet of Things (IoT) is increasingly influencing and transforming various aspects of our daily lives. Contrary to popular belief, it raises security and privacy issues as i…
Impact Learning: A Learning Method from Features Impact and Competition
Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid +5
Machine learning is the study of computer algorithms that can automatically improve based on data and experience. Machine learning algorithms build a model from sample data, called…
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective
Anupam Kumar Bairagi, Mehedi Masud, Do Hyeon Kim +8
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective preventive measures to control th…
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks
Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi +5
uRLLC and eMBB are two influential services of the emerging 5G cellular network. Latency and reliability are major concerns for uRLLC applications, whereas eMBB services claim for…
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis +3
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and en…