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Irfanud Din

21 та иш

Department of Computer Science, New Uzbekistan University, Tashkent, Uzbekistan. [email protected]

  1. Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review

    Muhammad Zubair, Irfanud Din, Nadeem Sarwar +3

    МақолаSepsis Diagnosis and TreatmentBMC Infectious Diseases202510 иқтибос
    ABI

  2. Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet

    Faiqa Maqsood, Wang Zhenfei, Muhammad Mumtaz Ali +6

    МақолаArtificial Intelligence in Healthcare and EducationInterdisciplinary Sciences Computational Life Sciences20242 иқтибос
    ABI

  3. Hybridization and artificial intelligence in optimizing university examination timetabling problem: A systematic review

    Abdul Ghaffar, Irfanud Din, Asadullah Tariq +1

    Шарҳ мақолаScheduling and Timetabling SolutionsReview of Education20251 иқтибос
    ABI

  4. Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT

    Mohamed Adel Serhani, Asadullah Tariq, Tariq Qayyum +3

    МақолаPrivacy-Preserving Technologies in DataIEEE Internet of Things Journal20251 иқтибос
    ABI

  5. Lightweight consortium blockchain-enabled secured Vehicular ad Hoc Network using certificateless conditional privacy-preserving authentication mechanism

    Iqra Ilyas, Irfanud Din, Abdullah Alourani +1

    МақолаVehicular Ad Hoc Networks (VANETs)PLoS ONE20240 иқтибос
    ABI

  6. AR-GeoShapes: Development and Evaluation of a Marker Less Augmented Reality Based Geometrical Shapes Learning Framework on Memory Retention and Learning Achievement

    Ayesha Azam, Zubaira Naz, Muhammad Usman Ghani Khan +1

    МақолаAugmented Reality Applications20240 иқтибос
    ABI

  7. An Enhanced Random Forest (ERF)-based Machine Learning Framework for Resampling, Prediction, and Classification of Mobile Applications using Textual Features

    Shahbaz Hussain, Nadeem Sarwar, Arshad Ali +5

    МақолаSpam and Phishing DetectionEngineering Technology & Applied Science Research20250 иқтибос
    ABI

  8. Impact of fine-tuning parameters of convolutional neural network for skin cancer detection

    Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar +3

    МақолаCutaneous Melanoma Detection and ManagementScientific Reports20250 иқтибос
    ABI

  9. Leveraging data-driven insights for esophageal and gastric cancer diagnosis

    S. Zahoor, Irfanud Din, Zaib Unnisa +4

    МақолаEsophageal Cancer Research and TreatmentBMC Medical Informatics and Decision Making20250 иқтибос
    ABI

  10. A Quantum-Resilient Sharded Blockchain Framework for Secure V2X and Federated Learning in Intelligent Transportation Systems

    Tariq Qayyum, Zouheir Trabelsi, Asadullah Tariq +3

    МақолаBlockchain Technology Applications and SecurityIEEE Transactions on Intelligent Transportation Systems20250 иқтибос
    ABI

  11. DHFL: Decentralized Hierarchical Federated Learning With Dynamic Global Aggregation for Privacy-Aware Fog Computing

    Tariq Qayyum, Zouheir Trabelsi, Asad Waqar Malik +2

    МақолаPrivacy-Preserving Technologies in DataIEEE Transactions on Consumer Electronics20250 иқтибос
    ABI

  12. Deep Learning-Based Task Offloading for Efficient and Reliable Computation in High-Mobility Vehicular Networks

    Muhammad Zain Ali, Usman Nazir, Mubashar Mushtaq +5

    МақолаVehicular Ad Hoc Networks (VANETs)20250 иқтибос
    ABI

  13. Design of Minimal Spanning Tree and Analytic Hierarchical Process (SAHP) Based Hybrid Technique for Software Requirements Prioritization

    Muhammad Yaseen, Esraa Mousa Ali, Nadeem Sarwar +4

    МақолаSoftware Engineering Techniques and PracticesIET Software20250 иқтибос
    ABI

  14. AI-Driven Lightweight and Trustworthy Federated Learning Framework for Decision-Making in Resource-Constrained Edge-IoT

    Asadullah Tariq, Farag Sallabi, Mohamed Adel Serhani +4

    МақолаPrivacy-Preserving Technologies in DataIEEE Transactions on Consumer Electronics20250 иқтибос
    ABI

  15. An Enhanced Artificial Intelligence and Deep Learning Assisted Breast Cancer Classification and Diagnosis Based on the Internet of Medical Things (IOMTs)

    Nasir Ayub, Turki Alghamdi, Irfanud Din +4

    МақолаAI in cancer detectionEngineering Technology & Applied Science Research20250 иқтибос
    ABI

  16. An Efficient Human Activity Recognition (HAR) Model Based on Convolutional Neural Networks for Computing Devices Aiming to Reduce Latency and Tackle the Inactivity of Gadgets

    Nasir Ayub, Muhammad Uzair, Irfanud Din +4

    МақолаContext-Aware Activity Recognition SystemsEngineering Technology & Applied Science Research20250 иқтибос
    ABI

  17. Revolutionizing Sepsis Diagnosis Using Machine Learning and Deep Learning Models: A Systematic Literature Review 

    Muhammad Zubair, Irfanud Din, Nadeem Sarwar +3

    ПрепринтCOVID-19 diagnosis using AIResearch Square20250 иқтибос
    ABI

  18. Threats and Mitigation Strategies for Electroencephalography‐Based Person Authentication

    Zaib Unnisa, Asadullah Tariq, Irfanud Din +4

    Шарҳ мақолаEEG and Brain-Computer InterfacesInternational Journal of Telemedicine and Applications20250 иқтибос
    ABI

  19. Optimizing sepsis mortality prediction using hybrid federated learning and explainable AI framework

    Muhammad Zubair Fuzail, Irfanud Din, Shakeel Ahmed +2

    МақолаMachine Learning in HealthcareScientific Reports20260 иқтибос
    ABI

  20. On Harnessing EEG Signals for the Comprehensive Assessment of Neurological Disorders: A Review

    Zaib Unnisa, Asadullah Tariq, Irfanud Din +1

    МақолаEEG and Brain-Computer InterfacesIEEE Transactions on Cognitive and Developmental Systems20260 иқтибос
    ABI

  21. EEG-based harmful brain activity classification using deep learning and feature fusion

    Zaib Unnisa, Arfan Jaffar, Sheeraz Akram +3

    МақолаEEG and Brain-Computer InterfacesScientific Reports20260 иқтибос
    ABI