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22 articles for “Support Vector Machines (SVM)”
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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A Comprehensive Study of Fault Diagnostics of Roller Bearings Using Continuous Wavelet Transform
Abstract: One of the prominent causes of breakdown of rotating machinery, bearing failure, proves to be costly to the industry. Unexpected machine stoppage disrupts production schedule and maintenance strategies. Therefore, condition monitoring has become a very important research field in recent years. It can be used to avoid unexpected failures of critical systems. Bearing fault diagnostics using vibration signals has proven to be very effective. This paper deals with the fault …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 2, 2016 · pp. 36–55 Read article
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Facial Expression Classification using Multi-Scale Histogram of Oriented Gradients
Abstract: An automatic facial expression classification method, based on multiscale Histogram of Oriented Gradients (HOG) features extracted from sub-facial image patches, is proposed in this paper. A number of multiclass Support Vector Machines (SVM) are designed using the multiscale HOG features for classifying six basic facial expressions for frontal face images. The proposed method, with a simple design and few training data, achieves descent classification accuracy at a very low computational …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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Algorithmic Approaches for Data Mining and Machine Learning
Abstract: ABSTRACTTrends and technology always innovative and comes with some new. Sometimes technologies are introduces in more user friendly environment. In such version of technology advancement are also incorporated. Data mining is a best widespread knowledge attainment approach for knowledge discovery. The naval trends Machine learning also have a big interfere of data mining. Infect most of the data mining algorithm and methods are utilized for machine learning with minor amendment …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 24–29 Read article
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Detection of Leaf Diseases Using Image Processing Techniques
Abstract: Agricultural field plays a vital role in the earning to feed ever growing population. The productivity of the crop depends on pest attack, disease, weather, etc. The disease in plants will affect the production of crops. Detecting diseases in plants through visualization is a traditional method which is not relevant. We are focusing on reliable, fast and accurate detection method that can be done using image processing techniques to monitor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 14–19 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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SOFT COMPUTING A NEW USE OF SOFT COMPUTING, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC & GENETIC ALGO-RITHM IN BIOINFORMATICS
Abstract: Abstract:Soft registering is make a few dormant in bioinformatics, particularly by producing minimal effort, low exactness (rough), great arrangements. Bioinformatics is an interdisciplinary research zone that is the edge between the natural and computational sciences. Bioinformatics settlement with calculations, databases and data frameworks, web innovations, man-made reasoning and delicate registering, data and calculation hypothesis, basic science, programming building, information mining, picture preparing, demonstrating and recreation, discrete arithmetic, control and framework …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 12–26 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article
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Object Detection Technique by Using Support Vector Machines
Abstract: We portray the FCNN-SVM classifier, which combines the help vector machine (SVM) approach and the speedy nearest neighbor development course of action administer (FCNN) with a particular ultimate objective to make SVMs rational on immense gatherings of data. As an essential responsibility, it is probably exhibited that, on huge and multidimensional instructive accumulations, the FCNN-SVM is a few solicitations of significance faster than SVM, and that the amount of help …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 2, 2018 · pp. 1–4 Read article
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Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings
Abstract: ABSTRACTThis paper gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines and image processing. Keywords: Glaucoma, HOG, SVM, image processing, Embedded computing.Cite this Article: Fazlulla Khan, Ashok Kusagur. Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings. International Journal of Embedded Systems and Emerging Technologies. 2019; …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article