Google Scholar Citation Count

Citations
100
h-index
4
i10-index
2

Published Articles

  1. A Comprehensive Systematic Review of Intrusion Detection Systems: Emerging Techniques, Challenges, and Future Research Directions
    Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy.
    DOI: https://doi.org/10.55056/jec.885
    Open Access | Journal of Edge Computing [ Scopus ].
  2. An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
    Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam.
    DOI: 10.1007/s44196-025-00741-7
    Funding: King Saud University, Riyadh, Saudi Arabia.
    Open Access | (Springer) International Journal of Computational Intelligence Systems [ Scopus, Q2 ].
  3. Utilizing Kidney Ontology for Data-Driven Exploration of Potential Biomarkers in Kidney Diseases: Introducing the Kidney Diseases Biomarker Ontology (KDBO)
    Arjun Kumar Bose Arnob, Mostaque Ahammed Naim, Tahmid Rezwan, Mohammad Mahmudul Hasan.
    DOI: 10.1145/3723178.3723230
    Open Access | 3rd International Conference on Computing Advancements - ICCA 2024.
  1. Comparing Machine Learning Algorithms for Breast Cancer Diagnosis: Wisconsin Diagnostic Dataset Analysis
    Arjun Kumar Bose Arnob, Akinul Islam Jony.
    DOI: 10.51483/IJDSBDA.4.2.2024.1-11
    Open Access | International Journal of Data Science and Big Data Analytics.
  2. Enhancing IoT Security: A Deep Learning Approach with Feedforward Neural Network for Detecting Cyber Attacks in IoT
    Arjun Kumar Bose Arnob, Akinul Islam Jony.
    DOI: 10.56532/mjsat.v4i4.299
    Open Access | Malaysian Journal of Science and Technology.
  3. A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset
    Akinul Islam Jony, Arjun Kumar Bose Arnob.
    DOI: 10.55056/jec.648
    Open Access | Journal of Edge Computing [ Scopus ].
  4. Deep Learning Paradigms for Breast Cancer Diagnosis: A Comparative Study on Wisconsin Diagnostic Dataset
    Akinul Islam Jony, Arjun Kumar Bose Arnob.
    DOI: 10.56532/mjsat.v4i2.245
    Open Access | Malaysian Journal of Science and Technology.
  5. Securing the Internet of Things-Evaluating Machine Learning Algorithms for Detecting IoT Cyberattacks using CIC-IoT2023 Dataset
    Akinul Islam Jony, Arjun Kumar Bose Arnob.
    DOI: 10.5815/ijitcs.2024.04.04
    Open Access | International Journal of Information Technology and Computer Science [ Scopus, Q3 ].

In Submission and Under Review Articles

  1. ELCNet: Multiscale Transfer Learning Model for Lung and Colon Cancer Image Classification with Explainable AI
    Arjun Kumar Bose Arnob, Muhammad Hasibur Rashid Chayon, Md. Jakir Hossen, M. F. Mridha.
    DOI:
    Funding: Multimedia University, Melaka, Malaysia,
    Open Access | IEEE Access [ Scopus, Q1 ].
  2. A lightweight CNN for Multiclass Retinal Disease Screening with Explainable AI
    Arjun Kumar Bose Arnob, Muhammad Hasibur Rashid Chayon, Fahmid Al Farid, Sarina Binti Mansor, Firoz Ahmed.
    DOI:
    Funding: Multimedia University, Melaka, Malaysia,
    Open Access | IEEE Access [ Scopus, Q1 ].
  3. XMM-HGNN: An Explainable Multimodal Hybrid Graph Neural Network for Multicancer Diagnosis
    Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md Abdul Hamid, M. F. Mridha.
    DOI:
    Funding: King Abdulaziz University, Jeddah, Saudi Arabia.
    Open Access | (Elsevier) Computers in Biology and Medicine [ Scopus, Q1 ].
  4. LEUNet: A deep U-Net architecture for explainable leukemia cell classification and segmentation
    Arjun Kumar Bose Arnob, Md. Jakir Hossen, M. F. Mridha, Firoz Ahmed.
    DOI:
    Funding: Multimedia University, Melaka, Malaysia,
    Open Access | (Elsevier) Array [ Scopus, Q1 ].
  5. An interpretable hybrid deep neural network for brain tumor classification from MRI scans
    Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Md. Jakir Hossen, M. F. Mridha.
    DOI:
    Funding: Multimedia University, Melaka, Malaysia.
    Open Access | IEEE Open Journal of Engineering in Medicine and Biology [ Scopus, Q1 ].
  6. XPolypNet: A U-Net-Based model for Instance Segmentation of Gastrointestinal Polyps with Explainable AI
    Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md Abdul Hamid, M. F. Mridha.
    DOI:
    Funding: Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia.
    Open Access | IEEE Open Journal of the Computer Society [ Scopus, Q1 ].
  7. Optimizing biomedical literature classification through efficient and explainable transformer models
    Arjun Kumar Bose Arnob, Ashraf Uddin, Md. Jakir Hossen, M. F. Mridha.
    DOI:
    Funding: Multimedia University, Melaka, Malaysia,
    Open Access | (Elsevier) Heliyon [ Scopus, Q1 ].
  8. A Convolutional Neural Network-Based Segmentation Approach for Oil Spill Detection in Satellite Imagery with Explainable AI
    Arjun Kumar Bose Arnob, M. F. Mridha, Meshal Alfarhood, Mejdl Safran, Dunren Che.
    DOI:
    Funding: King Saud, University, Riyadh, Saudi Arabia.
    Open Access | (Springer) Earth Science Informatics [ Scopus, Q2 ].