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Analysis of Kernel Performance in Support Vector Machine Using Seven Features Extraction for Obstacle Detection
Many electric powered wheelchairs (EPW) users fall due to the user’s carelessness of the road conditions in front of them that will have a...
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Model-Free Classification
It may seem self-evident that such labelled data are needed; how, otherwise, could it be possible to know anything about the number or type or shape...
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Review: enhancing Additive Digital Manufacturing with supervised classification machine learning algorithms
In the field of in-process monitoring for the production of safety-critical parts, the utilization of Machine Learning (ML) models has demonstrated...
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Adaptive Arctan kernel: a generalized kernel for support vector machine
Support Vector Machines (SVMs) can learn from high-dimensional and small amounts of training data, thanks to effective optimization methods and a...
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Predicting Students Performance Using Educational Data Mining and Learning Analytics: A Systematic Literature Review
With technological advancement, data is proliferating. Therefore, a need has been felt for advanced analytic techniques, which can help in extracting...
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Ensemble of deep learning and machine learning approach for classification of handwritten Hindi numerals
Given the vast range of factors, including shape, size, skew, and orientation of handwritten numerals, their machine-based recognition is a difficult...
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COVID-19 Disease Classification Model Using Deep Dense Convolutional Neural Networks
Preventing the transmission of COVID-19 necessitates diagnosis and identification. Researchers have developed algorithms to detect the presence of...
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Comparative Study of Various Machine Learning Algorithms with MDLDPTS for Plant Leaf Disease Analysis
Agricultural productivity can be much affected because of different plant leaf diseases. Hence, prediction of plant diseases accurately at the...
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Physical reservoir computing with emerging electronics
Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic properties of materials for high-efficiency computing. A...
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Sudden Cardiac Arrest Detection Based on Temporal Features of ECG Using Support Vector Machine Classifier
Sudden cardiac arrest (SCA) is caused due to malfunctioning in heart rhythm, and the patient needs to be hospitalized as early as possible just after...
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Continuous quality control evaluation during manufacturing using supervised learning algorithm for Industry 4.0
Smart industries use modern technologies such as machine learning and big data to maintain supply chain management and increase productivity but...
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Prediction of socketed pile settlement based on a hybrid form of multilayer perceptron via meta-heuristic algorithms
The settlement of pile foundations is a complex problem studied extensively in geotechnical engineering. However, accurately predicting the...
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Extracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision
As the global economic landscape rapidly advances and people's quality of life continues to improve, there is a noticeable increase in the demand for...
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Deep Learning and Support Vector Machine Algorithms Applied for Fault Detection in Electrical Power Transmission Network
In this paper, an interesting application of machine learning algorithms is presented. The main idea consists of applying both deep-learning and...
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Sentiment Analysis of Elon Musk’s Twitter Data Using LSTM and ANFIS-SVM
Social media plays a huge role spreading words to millions and influencing their opinions. Twitter is one of the most essential platform that reach...
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Data-Driven Model for State of Health Estimation of Lithium-Ion Battery
The trend of electrification within the automotive industry has resulted in the development of electric vehicles (EVs) due to their sustainable and...
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Top-level dual exploitation particle swarm optimization
This paper proposes top-level dual-exploitation particle swarm optimization (TLDEPSO), which aims to use the evolutionary experience between...
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Sparse Auto-encoder Improvised Texture-Based Statistical Feature Estimation for the Detection of Defects in Woven Fabric
Machine-intelligence-based detection of woven fabric enhances the quality of fabric. However, the main challenge to the researchers in this domain is...
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Kernelized Random Vector Functional-Link Network
Random vector functional-link (RVFL) networks are closed-form solution-based methods that evaluate a linear function in the output layer. The input...
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Breast Cancer Detection Based on UWB Dataset and Machine Learning
Breast cancer is one of the worst diseases in the world and the most common cancer affected by women. Early detection of cancers allows for faster...