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9 articles for “PCA”
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Optimization of Machining Parameters for Nylon 6 Composite in CNC Lathe Using PCA-Based TOPSIS
Abstract: This work investigates the parametric optimization of CNC turning operation for Nylon 6 with principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) based on Taguchi approach. Taguchi’s L16 orthogonal array takes 16 experimental runs to execute the design matrix of turning parameters through PCA coupled with TOPSIS, utilizing relevant experimental data as obtained through experimentation. Turning speed (TS), feed rate (FD) and depth …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 36–47 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Multivariate modeling of mineral water Karachi, Pakistan
Abstract: In last few decades the demand of mineral water has increased and is very important for human life due to shortage of pure and clean water. The mineral water is produced by various companies with different names and brand with approval of the relevant authorities. The present study was carried out for the preconcentration and determination of trace amount of metals (Cd, Cu, Pb, Fe, Mn, Ni, and Zn) from …
Published in International Journal of Environmental Chemistry · Vol. 5, Issue 2, 2019 · pp. 49–59 Read article
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Unsupervised Machine Learning:Revealing Hidden Data patterns
Abstract: Machine learning helps computers learn from data and make smart decisions. There are two main ways they do this: supervised and unsupervised learning. Supervised learning is like teaching a child with flashcards—you show the computer examples with the right answers, and it learns to recognize patterns. This helps it make predictions, like guessing whether an email is spam or estimating house prices. Unsupervised learning, on the other hand, is like …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 38–47 Read article
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Application of Surface Water Quality Classification Models Using Principal Components Analysis and Cluster Analysis
Abstract: Water quality monitoring has one of the highest priorities in surface water protection policy. Many variety approaches are being used to interpret and analyze the concealed variables that determine the variance of observed water quality of various source points. A considerable proportion of these approaches are mainly based on statistical methods, multivariate statistical techniques in particular. In the present study, the use of multivariate techniques is required to reduce the …
Published in International Journal of Water Resources Engineering · Vol. 5, Issue 1, 2019 · pp. 19–31 Read article
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Prediction of Adsorption Energies using Machine Learning
Abstract: In this article, we have a much more comprehensive method that promotes the exploration of automated descriptors. Primary component analysis (PCA) with varimax rotation is used to find the strongest minimum range of adsorption energies that can be used as metal descriptors for a given data set. Our findings demonstrate that the mixture of descriptors produced by this method outperforms conventional descriptors such as nuclear carbon, hydrogen and oxygen adsorption …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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An Exclusive Review on Content-Based Retrieval System
Abstract: The certain development in the ground of computer science engineering has carried a important rise of loading great quantity info (images) laterally with rise in dissimilar kinds of difficulty features. Thus the essential for effectual storing and reclamation of imageries has occasioned in procedure of having very great assembly of imageries from frequent fields like medicine, journalism, education, entertainment, advertisement, e-commerce etc. As extracting images from such large information base …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 2, Issue 1, 2016 · pp. 20–24 Read article