Special Issues
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Advances in Pattern Recognition Applications

Submission Deadline: 01 August 2025 View: 744 Submit to Special Issue

Guest Editors

Prof. Mohd Amiruddin Abd Rahman

Email: mohdamir@upm.edu.my

Affiliation: Department of Physics, University Putra Malaysia, Kuala Lumpur, 50000, Malaysia 

Homepage: 

Research Interests: signal processing, pattern recognition/matching/prediction, machine learning algorithms, electromagnetics-related computation and modelling and RF and microwave-based sensor system

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Dr. Muhammad Khairul Adib

Email: adib.yusof@upm.edu.my

Affiliation: Muhammad Yusof, Department of Physics, Universiti Putra Malaysia, Kuala Lumpur, 50000, Malaysia

Homepage:

Research Interests: data science, earthquake precursor, ground and space geomagnetic observations 

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Summary

Pattern recognition is crucial in transforming complex data into actionable insights. In recent years as data becomes more abundant and varied, the ability to accurately and efficiently recognize patterns is increasingly important across multiple research domains. Advances in this field have the potential to transform industries by enabling machines to interpret and process information with human-like perception and understanding. This special issue seeks to highlight cutting-edge research and methodologies that push the boundaries of pattern recognition such as such as image and speech recognition, bioinformatics, and artificial intelligence. We aim to provide a platform for researchers and practitioners to share insights, foster collaboration, and inspire future innovation. The scope includes theoretical developments, algorithmic advancements, and practical applications of pattern recognition across diverse fields. The particular topic of interests of this special issue, including but not limited to:

• Novel algorithms and techniques in pattern recognition

• Deep learning and neural networks for pattern analysis

• Real-time pattern recognition systems

• Pattern recognition in big data and data mining

• Applications in computer vision and image processing

• Speech and audio pattern recognition

• Biomedical pattern recognition

• Advances in natural language processing

• Pattern recognition in cybersecurity and fraud detection

• Interdisciplinary approaches to pattern recognition


Keywords

Pattern Recognition, Machine Learning, Deep Learning, Image Processing, Speech Recognition, Bioinformatics, Artificial Intelligence, Data Mining, Neural Networks

Published Papers


  • Open Access

    REVIEW

    AI-Driven Pattern Recognition in Medicinal Plants: A Comprehensive Review and Comparative Analysis

    Mohd Asif Hajam, Tasleem Arif, Akib Mohi Ud Din Khanday, Mudasir Ahmad Wani, Muhammad Asim
    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2077-2131, 2024, DOI:10.32604/cmc.2024.057136
    (This article belongs to the Special Issue: Advances in Pattern Recognition Applications)
    Abstract The pharmaceutical industry increasingly values medicinal plants due to their perceived safety and cost-effectiveness compared to modern drugs. Throughout the extensive history of medicinal plant usage, various plant parts, including flowers, leaves, and roots, have been acknowledged for their healing properties and employed in plant identification. Leaf images, however, stand out as the preferred and easily accessible source of information. Manual plant identification by plant taxonomists is intricate, time-consuming, and prone to errors, relying heavily on human perception. Artificial intelligence (AI) techniques offer a solution by automating plant recognition processes. This study thoroughly examines cutting-edge… More >

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