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101
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 2015“…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …”
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masterThesis -
102
Predicting business cycle turning points with neural networks in an information-poor economy
Published 2007“…The NN has as inputs seven indicators of economic activity and as output the probability of a recession. The three-layered network is estimated using the back propagation algorithm. …”
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conferenceObject -
103
Pre-production movie rating prediction using machine learning. (c2017)
Published 2017“…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
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masterThesis -
104
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Published 2022“…</p><h2>Other Information</h2> <p> Published in: Environmental Science and Pollution Research<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s11356-021-14286-7" target="_blank">http://dx.doi.org/10.1007/s11356-021-14286-7</a></p>…”
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105
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
Published 2024“…These results reveal a promising method for simultaneously predicting and understanding the risk of T2DM development and suggest possible pharmacological intervention to address inflammation and OS early in disease progression.…”
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106
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
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107
AI-based remaining useful life prediction and modelling of seawater desalination membranes
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doctoralThesis -
108
Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Published 2023“…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. …”
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ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Published 2022“…</p><h2>Other Information</h2> <p> Published in: Journal of Network and Systems Management<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10922-022-09684-2" target="_blank">http://dx.doi.org/10.1007/s10922-022-09684-2</a></p>…”
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Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
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Neural network-based failure rate prediction for De Havilland Dash-8 tires
Published 2006“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …”
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115
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
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masterThesis -
116
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Published 2023“…Wearable AI is a promising tool for depression detection and prediction although it is in its infancy and not ready for use in clinical practice. …”
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117
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
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doctoralThesis -
118
Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
Published 2021“…<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). …”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…Therefore it requires more time to predict the best possible solution. Few techniques can perhaps generate an ideal solution under a polynomial period to fix these issues. …”