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5 hasil untuk "Muhammad MUZAMMUL"

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  1. Artikel Jurnal

    Education System re-engineering with AI (artificial intelligence) for Quality Im-provements with proposed model

    Muhammad MUZAMMUL

    Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 8 No. 2 · 2020 · Inggris · DOAJ Scopus

    Re-engineering (RE) of existing educational institutions (EI) with adoption of latest technology trends (LTT) in form of artificial intelligence (AI) can be great effective in term of quality systems. Increase in student’s strength in class and terrorist attacks on EI urged us to introduce such…

  2. Artikel Jurnal

    An empirical approach for software reengineering process with relation to quality assurance mechanism

    Muhammad MUZAMMUL; Muhammad AWAIS

    Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 7 No. 3 · 2018 · Inggris · DOAJ Scopus

    Software development advances focus on productivity of existing software systems and quality is the basic demand of every engineering product. In this paper, we will discuss the complete re-engineering process with aspects of forwarding, reverse and quality assurance mechanism. As we know the…

  3. Artikel Jurnal

    Stock Market Prediction Using Machine Learning(ML)Algorithms

    Muhammad UMER; Muhammad AWAIS; Muhammad MUZAMMUL

    Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 8 No. 4 · 2020 · Inggris · DOAJ Scopus

    Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks. From last few decades, there seen explosive…

  4. Artikel Jurnal

    Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications

    Muhammad Muzammul; Muhammad Assam; Ayman Qahmash

    IEEE Access, Vol. 13 · 2025 · Inggris · DOAJ Scopus

    Ultra-small object detection in UAV imagery presents significant challenges due to scale variation, environmental complexity, and computational constraints. This study introduces a quantum-inspired multi-scale object detection model designed to address these issues effectively. By integrating…

  5. Artikel Jurnal

    IR-QLA: Machine Learning-Based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed- Reinforcement Learning

    Muhammad Muzammul; Muhammad Assam; Yazeed Yasin Ghadi dkk.

    IEEE Access, Vol. 12 · 2024 · Inggris · DOAJ Scopus

    Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand. This uncertainty has propelled the adoption of UAVs across diverse sectors such as logistics, weather…