Search Results - (( model implication from algorithm ) OR ( _ prediction based algorithm ))
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Predicting the classification of heart failure patients using optimized machine learning algorithms
Published 2025“…The study underscores the importance of hyperparameter tuning through metaheuristic algorithms and highlights the potential of AIW-PSO in enhancing model performance for clinical prediction tasks. …”
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Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…This algorithms were selected based on previous literature review in price prediction. …”
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Prediction of payment method in convenience stores using machine learning
Published 2023“…The high accuracy rate suggests that machine learning models can effectively assist in tailoring services and marketing strategies based on predicted payment preferences.…”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Practical implications In terms of managerial implications, the findings in this research help to frame the adoption of a more advanced analytical approach to forecasting, using a Machine Learning algorithm, in solving a newsvendor problem. …”
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Predicting saliency existence using reduced salient features based on compactness and boundary cues
Published 2020“…As for the previous models for saliency prediction, the developed models require complex computation for feature extraction with large number of salient features. …”
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The predictive machine learning model of a hydrated inverse vulcanized copolymer for effective mercury sequestration from wastewater
Published 2024“…NMDG functionalized IVP removed 100 Hg2+ from a low feed concentration (10â��50 mg/l). A predictive machine learning model was also developed to predict the amount of mercury removed () using GPR, ANN, Decision Tree, and SVM algorithms. …”
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How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation
Published 2022“…The Cronbach’s alpha, rho_A, composite reliability, and discriminant validity revealed acceptable values. PLS prediction algorithm was run to assess the model’s predictive power, and the findings show that the predictive relevance is satisfactory. …”
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CO2 flow in saline aquifer with salt precipitation
Published 2016“…Practical implications - A methodology to predict the salt precipitation based on CO2 saturation. …”
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CO2 flow in saline aquifer with salt precipitation
Published 2016“…Practical implications - A methodology to predict the salt precipitation based on CO2 saturation. …”
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In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria
Published 2019“…Thus, certain group of researchers also developed machine learning tools based on support vector machine (SVM) and hidden Markov models (HMM) for the identification of novel and effective biofilm inhibitory peptides (BIPs), while others used in silico approaches for predicting and designing of antibiofilm peptides usingbidirectional recursive neural network (BRNN) and Random Forest (RF) algorithms. …”
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11
AI-Based Drug Design: Revolutionizing Drug Discovery through in Silico Analysis
Published 2023“…This review embarks on an odyssey through the transformative landscape of AI-based drug design, delving into its multifaceted applications and profound implications. …”
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REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…When heuristic-based prediction and Grey system prediction were compared, heuristic-based prediction was in fact a better predictor. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…Predictive-reactive strategy was investigated, in which Genetic Algorithm (GA) and dispatching rules were used for predictive scheduling and reactivity controls. …”
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Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
Published 2021“…Initially, the Ridge algorithm-based modeling is performed in detail, and then SVR-based LR, named as SVR (LR), SVR-based radial basis function—SVR (RBF), and SVR-based polynomial regression—SVR (Poly.) algorithms, are applied. …”
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Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
Published 2021“…The study aims to explore the K-Nearest Neighbour (KNN) algorithm in solving the MUET result prediction problem, to develop a prototype of MUET result prediction based on the KNN algorithm and to evaluate the accuracy of the KNN algorithm in MUET result prediction. …”
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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…OSA. The prediction algorithms developed are based on the OSA datasets collected mainly from the public hospitals in Selangor, Malaysia. …”
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Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
Published 2014“…Besides that, Genetic Algorithm is applying to predict future sales based on the sales and product data. …”
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Cellular Automata-based Algorithm for Liquid Diffusion Phenomenon Modeling using imaging technique
Published 2013“…Then, thousands of images, as the same number of original images, are created by the CA-based algorithm. In this study, the diffusion speed of the predicted LDP is also computed by using a mathematical proposed algorithm which is the Diffusion Speed Algorithm (DSA). …”
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Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii
Published 2012“…This project focuses on three main objectives to investigate the UPSR Examination of data for prediction result, to study the Clonal Selection algorithm of the term and to develop the Prediction of UPSR Result System using Clonal Selection Algorithm. …”
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Implementation of VLSI architecture in linear prediction algorithm: article / Mohd Saiful Mistor
Published 2013“…This project presents the implementation of VLSI architecture in linear prediction algorithm. The system is designed to monitor the condition base of engine oil and predict the lifetime of the sample of engine oil. …”
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