Search Results - (( exploring consumer machine algorithm ) OR ( java implication based algorithm ))
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Data annotation using semi-supervised learning which is self-training technique need to be accomplished as the dataset is unlabeled. Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Study on the influence of knowledge-driven technology on predicting consumer repurchase behaviour
Published 2023“…Consumer purchase behaviour has become a potential research area in business analytics, as exploring micro-level details would increase the business's profitability. …”
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Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends
Published 2025“…In the backdrop of increasing sustainability awareness among Indian consumers, this study explores the role of machine learning (ML) in optimizing green influencer marketing strategies to drive eco-conscious purchasing. …”
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Optimization of multi-holes drilling path using particle swarm optimization
Published 2018“…In multi-holes drilling process, the tool movement and tool switching consumed on average 70% of the total machining time. …”
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Book Chapter -
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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning
Published 2026journal::journal article -
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Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques
Published 2022“…The process of putting a machine learning pipeline into action will be explored and analysed. …”
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Final Year Project / Dissertation / Thesis -
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Predicting motorcycle customization preferences using machine learning
Published 2025“…The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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Conference or Workshop Item -
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Understanding the sentiment on gig economy: good or bad?
Published 2022“…Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. …”
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Chronic kidney disease diagnostic tools based on machine learning algorithms: a review / Muhamad Huzaimi Abdul Ghafar ... [et al.]
Published 2025“…This paper aims to explore the potential of Artificial Intelligence (AI) tools, specifically machine learning (ML), in revolutionizing CKD diagnosis. …”
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Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues
Published 2025“…Also quality assurance has gradually received more attention by both producers and consumers. Thus, fish producers are exploring all possible approaches for improving the productivity and profitability. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Trying through all the possible candidate clusters for the perfect result is too time consuming. Metaheuristic algorithm aims to search for global optimum in high dimensional problems. …”
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Thesis -
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Automated Bird Species Identification Through Machine Learning Techniques
Published 2024“…Traditional identification methods, which rely on field notes and visual assessments by trained ornithologists, are often labor-intensive, time-consuming, and prone to error. In recent years, machine learning algorithms and pre-trained models such as ResNet, Histogram of Oriented Gradients (HOG), and Scale-Invariant Feature Transform (SIFT) have shown significant promise in automating bird species classification. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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Thesis -
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An efficient AdaBoost algorithm for enhancing skin cancer detection and classification
Published 2024“…To tackle these issues, researchers have explored the application of artificial intelligence (AI) tools, particularly machine learning techniques such as shallow and deep learning, to enhance the diagnostic process for skin cancer. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data
Published 2021“…Researchers have come up with several data processing architectures, enabling machines to consume, interpret, and produce understandable output from real-world data to improve the quality of our lives. …”
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Thesis -
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