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1987 articles for “class” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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DESIGN PERSONALIZATION CLASSIFICATION MODEL USING SEMI-SUPERVISED SUPPORT VECTOR MACHINES
Abstract: Abstract Internet user is growing everyday as an outcome of this huge volume of data is being produced constantly. Thus Mining and evaluating such data can support an organization in services extending from website personalization and usage classification. The pre-existing machine learning algorithms are unable to solve this in a better way. The current application for data classification is really expensive in nature. Improve the recommendation technique using map reduce …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 17–24 Read article
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Potential of Semi-automatic Object-based Land Cover Classifications using Very High Resolution Satellite Images: Tetuan-city Comparison Case Study
Abstract: Nowadays, mapping agencies need to update their topographic and information systems databases in order to draw: (i) urban planning (e.g., urban sprawl, road networks, etc.), and (ii) environmental planning (e.g., ecological corridors, forest change, etc.). In this context, object-based land cover classifications using very-high resolution satellites (VHRS) images (e.g., IKONOS, QuickBird, GeoEye WorldView-2, and recently Pléaides) are interesting tools to satisfy the needs of both scientific community and decision makers …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 19–29 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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Human Age and Gender Determination Using Fingerprints
Abstract: We present a review of technologies to determine human age and gender using fingerprints. Broadly two methodologies are reviewed i.e. Ridge based human age and gender determination and Image based human age and gender determination. Ridge based techniques uses ridge information with its variant statistics measures for classification of a human fingerprint into different classes of age groups and male/female distinction. These methods do not involve separate classifiers for classification …
Published in Journal of Advancements in Robotics · pp. 16–26 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Energy-efficient HVAC System with Decision Tree Classifier and Real-time SMS Notification
Abstract: This research paper explores the design and implementation of an energy-efficient heating, ventilation, and air conditioning (HVAC) system aimed at optimizing energy consumption and enhancing operational efficiency. The system incorporates high-efficiency components, including axial flow fans, motors, and intelligent variable frequency drives, achieving an overall system efficiency of up to 85%. By utilizing both static and dynamic pressures, the HVAC system operates more effectively under varying conditions compared to traditional …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 29–34 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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K-NN Classification and Thresholding by Fuzzy If-Then Rules using Texture and Shape Feature
Abstract: In present scenario image retrieval is the basic requirement, because of different types of images features are added in database from different sources are available for image retrieval. In Content Based Image Retrieval ‘content based’ means that the search will analyze the actual contents of the image. In this paper texture and shape features are extracted and classifications of images are done with K-Nearest Neighbour. The Fuzzy concept If-Then rules …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 1–11 Read article
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Classification of Mammogram Images Using Multi-SVM
Abstract: Bosom malignant growth is normal in ladies these days. It first starts when cells in the bosom start to develop wild. These cells for the most part structure a tumor that will frequently be seen on an x-beam or felt as an irregularity. Cells in about any piece of the body can become malignant in growth and can spread to different regions of the body. In the current framework, rule …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 32–51 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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A Survey on Multi Label Classification
Abstract: MultiLabel Classification is a kind of supervised learning where each instance can belong to set of multiple classes. The methods can be broadly classified into two groups: Problem Transformation and Algorithm Adaptation. Ten representative Multi Label models are scrutinized under common notations followed by different evaluation metrics. There exists wide range of application for multi label prediction such as text categorization, semantic image labeling, gene functionality etc. This survey paper …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 19–23 Read article
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Vegetation Classification Based on Leaf Pattern
Abstract: In this current world, vital species of plants are going to be lost day by day. To command, this phenomenon, steps are first discovering then restoring and retain them. Among them, spotting of plant is giving up challenging. Usually, plants are recognizing from their leaves. In this paper, a deep neural network model is implemented which will extract the hidden pattern form leaf images. A classifier named as Convolutional Neural …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 9–16 Read article
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Common Fixed Point Theorem for Rational Inequality in Fuzzy Metric Space Under C-Class Function and Implicit Function
Abstract: The purpose of this study is to establish some fixed point results for fuzzy metric space satisfying certain rational inequality under C-Class function along with Implicit function. The idea of C-Class functions in introduced in the process of building a fuzzy metric space that associate with implicit functions. In this way, our results extend and generalize and improve results of fuzzy metric space of previously published.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 8–20 Read article