Search Results - "Abut, Fatih"
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods
Published in Applied sciences (01-11-2024)“…The System Marginal Price (SMP) is the cost of the last unit of electricity supplied to the grid, reflecting the supply–demand equilibrium and serving as a key…”
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Journal Article -
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Development of a Neural Network Algorithm for Estimating the Makespan in Jobshop Production Scheduling
Published in Tehnički vjesnik (01-08-2023)“…Since production scheduling is considered a short-term plan for future production planning, the advantages of effective scheduling and control and their…”
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Harnessing AI for Health: Optimized Neural Network Models for Resting Metabolic Rate Prediction
Published in IEEE access (2024)“…Resting Metabolic Rate (RMR) is a pivotal metric reflecting the caloric expenditure necessary for fundamental physiological functions during periods of rest,…”
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Developing Turkish sentiment analysis models using machine learning and e-commerce data
Published in International journal of cognitive computing in engineering (01-06-2021)“…•New models for predicting the sentiments expressed via Turkish texts have been proposed.•Sentiment analysis models were built using SVM, RF, DT, LR, and KNN…”
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Journal Article -
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Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection
Published in Computers in biology and medicine (01-12-2016)“…Maximal oxygen uptake (VO2max) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual can…”
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Developing new VO 2 max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection
Published in Computers in biology and medicine (01-12-2016)“…Maximal oxygen uptake (VO max) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual can…”
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Developing New VO2 max Prediction Models from Maximal, Submaximal and Questionnaire Variables Using Support Vector Machines Combined with Feature Selection
Published in Computers in biology and medicine (2016)“…Abstract Maximal oxygen uptake (VO2 max) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an…”
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Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection
Published in Neural computing & applications (01-08-2016)“…Upper body power (UBP) is a major parameter in cross-country skiing that strongly influences the performance of skiers during races. Although the direct…”
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Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances
Published in Medical Devices : Evidence and Research (01-01-2015)“…Maximal oxygen uptake (VO2max) indicates how many milliliters of oxygen the body can consume in a state of intense exercise per minute. VO2max plays an…”
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Journal Article Book Review -
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Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines
Published in Arabian Journal for Science and Engineering (01-04-2015)“…Upper body power (UBP) is an important determinant of cross-country ski race performance. Although numerous studies exist to measure UBP of cross-country…”
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Journal Article -
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A New Hybrid Approach for Real Estate Price Prediction Using Outlier Detection, Feature Selection, and Clustering Techniques
Published in 2023 8th International Conference on Computer Science and Engineering (UBMK) (13-09-2023)“…Real estate price prediction is vital for property valuation, investment analysis, and market trends forecasting. Accurate prediction models offer valuable…”
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Conference Proceeding -
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Determination of the variables affecting the maximal oxygen uptake of cross-country skiers by using machine learning and feature selection algorithms
Published in 2015 23nd Signal Processing and Communications Applications Conference (SIU) (01-05-2015)“…Maximal oxygen uptake (VO 2 max) is one of the most important determinants that directly affects the performance of cross-country skiers during races. In this…”
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Conference Proceeding -
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Artificial neural networks for predicting the racing time of cross-country skiers from survey-based data
Published in 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) (01-09-2017)“…This paper proposes for the first time in literature to use machine learning methods and survey-based data for predicting the racing times of cross-country…”
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Conference Proceeding -
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Predicting the maximum endurance time for left-side bridge exercise using machine learning methods and hybrid data
Published in 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) (01-09-2017)“…This study was carried out with the intention to create new models to predict the maximum endurance time for the left-side bridge exercise using machine…”
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Conference Proceeding -
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Development of new upper body power prediction models for cross-country skiers by using different machine learning methods
Published in 2015 23nd Signal Processing and Communications Applications Conference (SIU) (01-05-2015)“…Upper Body Power (UBP) is one of the most important determinants that directly affects the performance of cross-country skiers during races. In this study, new…”
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Conference Proceeding -
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Using cross-layer design to detect jamming attacks in the CoNSIS scenario
Published in 2013 Military Communications and Information Systems Conference (01-10-2013)“…Due to the shared nature of the wireless channel, a fundamental class of security attacks, the so-called jamming attack, threatens the availability of wireless…”
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Conference Proceeding