Vol. 1 No. 2 (2024): Volume-I, Number-II, 2024

View Vol. 1 No. 2 (2024): Volume-I, Number-II, 2024

(April-June)

Published: 2024-04-01

Articles

  • Advances in CFRP-Strengthened Steel-Concrete Beams: A Reviewof Experimental and FE Approaches

    Zillay Huma, Junaid Muzaffar (Author)
    1-8
    DOI: https://doi.org/10.65923/f53spm52

  • Machine Learning-Enhanced DSPM: Towards Intelligent Modulation Techniques

    Junaid Muzaffar, Noman Mazher (Author)
    9-17
    DOI: https://doi.org/10.65923/2egda275

  • Predictive Analytics in SQL Server: Leveraging Machine Learning for Web Applications

    Areej Mustafa, Zillay Huma (Author)
    18-26
    DOI: https://doi.org/10.65923/8nymjq37

  • Revolutionizing Digital Banking: The Transformative Impact of Fintech Innovations

    Arooj Basharat, Hadia Azmat (Author)
    27-35
    DOI: https://doi.org/10.65923/wt8b3r28

  • Securing Web Applications with OAuth 2.0, JWT, and Multi-Factor Authentication

    Atika Nishat, Junaid Muzaffar (Author)
    36-43
    DOI: https://doi.org/10.65923/1mpb7r55

  • Adaptive Deep Learning Models for Real-Time Anomaly Detection in IoT Networks

    Hadia Azmat, Ifrah Ikram (Author)
    44-48
    DOI: https://doi.org/10.65923/bwveet47

  • Evolution of Learning Algorithms: A Journey from Traditional to Deep Machine Learning

    Anas Raheem (Author)
    49-56
    DOI: https://doi.org/10.65923/pe9xak84

  • An Explainable AI Approach to Intrusion Detection Using Interpretable Machine Learning Models

    Ifrah Ikram, Zillay Huma (Author)
    57-66
    DOI: https://doi.org/10.65923/85tcmy28

  • AI and Machine Learning in Cybersecurity: New Frontiers in Threat Prediction and Response

    Noman Mazher (Author)
    67-73
    DOI: https://doi.org/10.65923/x9gae435

  • AI and Privacy – Navigating a World of Constant Surveillance

    Ahmed Raza (Author)
    74-80
    DOI: https://doi.org/10.65923/rfn7tr23

  • Beyond Neural Networks – Exploring the Next Frontier in AI Architectures

    Eshal Nasir, Zunaira Rafaqat (Author)
    81-87
    DOI: https://doi.org/10.65923/9bj0fz72

  • Enhanced Fault Diagnosis of Motor Rolling Bearings Using an Improved Multi-Kernel Extreme Learning Machine Approach

    Zunaira Rafaqat, Laiba Qaisar (Author)
    1-9
    DOI: https://doi.org/10.65923/wz29vv50

  • A Novel Multi-Kernel Extreme Learning Machine Model for Accurate Diagnosis of Motor Bearing Faults

    Minal junaid, Ifrah Ikram (Author)
    10-18
    DOI: https://doi.org/10.65923/y61es406

  • Hybrid Kernel-Driven ELM for Intelligent Fault Detection in Motor Rolling Bearings

    Areeba Sohail, Eshal Nasir (Author)
    19-27
    DOI: https://doi.org/10.65923/qmka7t84

  • High-Precision Fault Identification in Motor Bearings via Enhanced Multi-Kernel ELM Framework

    Sania Naveed, Asma Maheen (Author)
    28-36
    DOI: https://doi.org/10.65923/5pknyr30

  • Enterprise Operational Intelligence Platforms: The Future of AI-Driven Business Infrastructure

    Nancy Al Kalach (Author)
    88-27
    DOI: https://doi.org/10.65923/amy6js98