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25 articles for “pattern recognition tool”
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Selection of Tower Cranes through ANN (Artificial Neural Network) Model
Abstract: In India, the construction sector has been increased due to large spending on the infrastructures in last few years. By such growth in infrastructure, rising trend of precast technology for real estate construction and high rise construction, there is a drive growth of the Indian tower crane industry. With the increasing demand of tower cranes, the selection of the suitable tower crane for a particular site also becomes important; as …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 67–79 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article
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Modelling of Flood in Lagos using Artificial Neural Network
Abstract: Flooding events have caused havoc to live and properties in recent times. Flooding could be caused by several factors some of which are rainfall, temperature, and relative humidity, which lead to rise in water level. The method of artificial neural networks (ANN) was used in this work to model flood occurrence in Lagos, Nigeria. Meteorological data were collected from the Nigeria Meteorological Agency (NIMET) and Nigeria Hydrological survey Agency (NHSA) …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 2, 2018 · pp. 50–57 Read article
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Enhancing Pattern Recognition in Social Networking Dataset using Data Mining Techniques
Abstract: Databases today can range in size more than terabytes. Within these masses of data lies hidden information of strategic importance. But when there are so many trees, how do we draw meaningful conclusions about the forest? The newest answer is data mining, which is being used both to increase revenues and to reduce costs. Data mining is a process that uses a variety of data analysis tools to discover patterns …
Published in Journal Of Network security · Vol. 1, Issue 2-3, 2013 · pp. 1–7 Read article
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Hybrid Intelligence in Cyber Security: A Study
Abstract: The digital landscape is a battlefield of escalating complexity, where the volume, velocity, and sophistication of cyber threats have exponentially outpaced human-centric defense models. Traditional rule-based security systems and siloed artificial intelligence (AI) solutions, while valuable, are increasingly brittle, overwhelmed by zero-day exploits, polymorphic malware, and coordinated, state-sponsored campaigns that operate in the shadows of big data. This paper posits that the paradigm of cybersecurity must fundamentally shift from one …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing
Abstract: Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence
Abstract: Away from old ways, many young people in India now find customs hard to reach, losing touch with sacred texts, local traditions, and deeper beliefs. Into this space steps Sanskruti AI - an intelligent tool using sound, text, and vision to bring culture closer, tailored to how today & users think and feel. Instead of flat translations, it unpacks verses from Sanskrit with layers: word-for-word sense, background context, inner meaning. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 30–36 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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PSSM Amino-Acid Composition Based Gene Identification Using Support Vector Machines
Abstract: AbstractThe main characteristic of identifying the molecular mechanism of the cell is to understand the significance or function of each protein encoded in the genome. For that purpose, genome annotation proves to be very supportive. One of the most obligatory phases of genome annotation is the prediction of the genes. Several methods or techniques have been developed in order to locate or predict the patterns of genes in genome sequence. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 50–58 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Automatic Facial Recognition Using Adaptive Modelling of Illumination Field for Shape Recovery of Micro Facial Features
Abstract: In this study, we present an innovative framework to resolve the issue of confounding effects caused by variation of illumination in the scenario of face recognition. The proposed framework involves a mathematically modelled adaptive algorithm which augments the pixels sets of facial images with realistically simulated illumination field. This enhances the recognition rate and subsequently its performance in a way independent of classifier mode for each of its facial parameters. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
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Automated Recognition of Mechanical Parts with Machine Vision System
Abstract: The field of machine vision, or computer vision, has been growing at fast pace. The growth in this field, unlike most established fields, has been both in breadth and depth of concepts and techniques. Computer vision recognition has attracted the attention of researchers in many application areas and has been used to solve many ranges of problems. In this work, recognition of objects manufactured in mechanical industry is considered. Mechanically …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 1–6 Read article
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Emerging Trends in Interdisciplinary Perspectives and Future Frontiers in Modern Symmetry
Abstract: Symmetry, long recognized as a cornerstone of the natural sciences, has increasingly found relevance across a variety of disciplines, from physics and mathematics to economics, architecture, and systems theory. This interdisciplinary review explores the expanding role of symmetry as a conceptual and analytical tool, highlighting its applications in diverse fields. In classical and quantum physics, symmetry principles form the foundation for conservation laws, particle interactions, and field equations. In economics …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 26–30 Read article
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PHOENIX SYSTEM: A Tap for the Better Life
Abstract: AbstractNowadays, lots of people are deaf and dumb. They have problems in their living existence. Communications between normal person and a deaf-dumb people have always been a challenging task. The preference in embedded systems provides platform to design and develop a sign language translator system to benefit the deaf and dumb people; there exists a number of supportive tools. The main objective is to develop a real time embedded device …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 6–10 Read article
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Machine Learning Approach to Determine Corrosion Potential of Friction Stir Welded Joints
Abstract: The main objective of the research study is to create an Artificial Neural Network (ANN) architecture to predict corrosion resistance from the Friction Stir Welding experimental dataset given to us. This is also to find the mean squared error and mean absolute percentage error of the given model which will help to analyze the losses and efficiency of the model. In the Artificial Neural Architecture, Tool Rotational Speed (rpm), Axial …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 5–17 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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Categorization of Indian Classical Music Using MB-BE Distributions
Abstract: Abstract: Information is usually made up of repetitive arrangements of basic patterns. The presence of such sequences contributes to the unique style/behaviour the information congregation represents. Various such congregations like music, language, biological signals exhibit this kind of repetitive patterns of symbolic sequences. The problem of categorizing such information collection is that the usual methods used are mostly nonquantifiable. In this study, its has been quantify that such abstractness using …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 9–15 Read article
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Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications
Abstract: Although hand gesture detection for man-machine interfaces has advanced recently, many systems still have issues with background and lighting. We have developed a rapid motion history image-based system to categorize dynamic hand motions and a face detection method to adaptively detect skin color. For the up, down, left-, and right-hand gesture classifiers, four sets of haar-like directional patterns were trained. To operate different household appliances, six hand gestures were defined, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 9–13 Read article