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Irfanud Din

Работ: 21

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

    СтатьяSepsis Diagnosis and TreatmentBMC Infectious Diseases2025Цитирований: 10
    ABI

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

    Faiqa Maqsood, Wang Zhenfei, Muhammad Mumtaz Ali +6

    СтатьяArtificial Intelligence in Healthcare and EducationInterdisciplinary Sciences Computational Life Sciences2024Цитирований: 2
    ABI

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

    Abdul Ghaffar, Irfanud Din, Asadullah Tariq +1

    Обзорная статьяScheduling and Timetabling SolutionsReview of Education2025Цитирований: 1
    ABI

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

    Mohamed Adel Serhani, Asadullah Tariq, Tariq Qayyum +3

    СтатьяPrivacy-Preserving Technologies in DataIEEE Internet of Things Journal2025Цитирований: 1
    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

    СтатьяVehicular Ad Hoc Networks (VANETs)PLoS ONE2024Цитирований: 0
    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

    СтатьяAugmented Reality Applications2024Цитирований: 0
    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

    СтатьяSpam and Phishing DetectionEngineering Technology & Applied Science Research2025Цитирований: 0
    ABI

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

    Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar +3

    СтатьяCutaneous Melanoma Detection and ManagementScientific Reports2025Цитирований: 0
    ABI

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

    S. Zahoor, Irfanud Din, Zaib Unnisa +4

    СтатьяEsophageal Cancer Research and TreatmentBMC Medical Informatics and Decision Making2025Цитирований: 0
    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

    СтатьяBlockchain Technology Applications and SecurityIEEE Transactions on Intelligent Transportation Systems2025Цитирований: 0
    ABI

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

    Tariq Qayyum, Zouheir Trabelsi, Asad Waqar Malik +2

    СтатьяPrivacy-Preserving Technologies in DataIEEE Transactions on Consumer Electronics2025Цитирований: 0
    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

    СтатьяVehicular Ad Hoc Networks (VANETs)2025Цитирований: 0
    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

    СтатьяSoftware Engineering Techniques and PracticesIET Software2025Цитирований: 0
    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

    СтатьяPrivacy-Preserving Technologies in DataIEEE Transactions on Consumer Electronics2025Цитирований: 0
    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

    СтатьяAI in cancer detectionEngineering Technology & Applied Science Research2025Цитирований: 0
    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

    СтатьяContext-Aware Activity Recognition SystemsEngineering Technology & Applied Science Research2025Цитирований: 0
    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 Square2025Цитирований: 0
    ABI

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

    Zaib Unnisa, Asadullah Tariq, Irfanud Din +4

    Обзорная статьяEEG and Brain-Computer InterfacesInternational Journal of Telemedicine and Applications2025Цитирований: 0
    ABI

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

    Muhammad Zubair Fuzail, Irfanud Din, Shakeel Ahmed +2

    СтатьяMachine Learning in HealthcareScientific Reports2026Цитирований: 0
    ABI

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

    Zaib Unnisa, Asadullah Tariq, Irfanud Din +1

    СтатьяEEG and Brain-Computer InterfacesIEEE Transactions on Cognitive and Developmental Systems2026Цитирований: 0
    ABI

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

    Zaib Unnisa, Arfan Jaffar, Sheeraz Akram +3

    СтатьяEEG and Brain-Computer InterfacesScientific Reports2026Цитирований: 0
    ABI