Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

Get full text

Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

Get full text

Optimising test intervals for individuals with type 2 diabetes: A machine learning approach. by Sasja Maria Pedersen, Nicolai Damslund, Trine Kjær, Kim Rose Olsen

“…<h4>Background</h4>Chronic disease monitoring programs often adopt a one-size-fits-all approach that does not consider variation in need, potentially leading to excessive or insufficient support for patients at different risk levels. Machine learning (ML) developments offer new opportunities for personalised medicine in clinical practice.…”
Get full text

Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

Get full text

Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases by W. L. Yang, W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue

Get full text

Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction by Lingyi Li, Man Luo

“…ObjectiveThis study aims to examine association between vitamin D with melanoma and develop an explainable machine learning model.MethodsFor this study, relevant data were downloaded from the CDC’s National Health and Nutrition Examination Survey (NHANES) program, for the three survey cycles 2011-2012, 2013–2014 and 2015-2016. …”
Get full text

A Robust Hybrid CNN–LSTM Model for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga

“…The hybrid model achieved predictive accuracies of 98.93% and 98.82% on the two datasets, respectively, outperforming traditional machine learning models and standalone deep learning approaches across key performance metrics including accuracy, precision, recall, and F-score.…”
Get full text

Optimized Motion Capture for Cricket Shot Classification Using Minimal Hardware and Machine Learning by J. Ishan Randika, Kanishka Rajamanthri, Avishka Kothalawala, Niroshan Gunawardana, Ashan Induranga, Pathum Weerakkody, Kaveendra Maduwantha, B. T. G. S. Kumara, Kaveenga Koswattage

Get full text

Functional Connectivity Metrics in Temporal Lobe Epilepsy: A Machine Learning Perspective With MEG by M. V. Suhas, N. Mariyappa, A. Karunakar Kotegar, M. Ravindranadh Chowdary, K. Raghavendra, Ajay Asranna, L. G. Viswanathan, H. Anitha, Sanjib Sinha

Get full text

A feature-level ensemble machine learning approach for attack detection in IoT networks by Firoz Khan, B. S. Sunil Kumar, Sangeeta Sangani

Get full text

Machine learning based adaptive traffic prediction and control using edge impulse platform by Manoj Tolani, G. E. Saathwik, Ayush Roy, L. A. Ameeth, Dhanush Bharadwaj Rao, Ambar Bajpai, Arun Balodi

Get full text

Intelligent Thermal Condition Monitoring for Predictive Maintenance of Gas Turbines Using Machine Learning by Sadiq T. Bunyan, Zeashan Hameed Khan, Luttfi A. Al-Haddad, Hayder Abed Dhahad, Mustafa I. Al-Karkhi, Ahmed Ali Farhan Ogaili, Zainab T. Al-Sharify

Get full text

Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning by Nebebe Demis Baykemagn, Meron Asmamaw Alemayehu, Tirualem Zeleke Yehuala, Agmasie Damtew Walle, Andualem Enyew Gedefaw, Abraham Keffale Mengistu

Get full text

Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques by Behzad Vaferi, Mohsen Dehbashi, Reza Yousefzadeh, Ali Hosin Alibak

Get full text

Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

“…Objective: The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. …”
Get full text

Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI by Donghwa Kim, Pilsung Kang, Junhong Kim, Czang Yeob Kim, Jong-Ha Lee, Sangil Suh, Moon-Soo Lee

“…Structural brain changes can be used to build an accurate classification model for machine learning, even when the duration of illness is relatively short and the influence of MDD on the brain structure is minimal.…”
Get full text

The Optimization of Culture Conditions for Injectable Recombinant Collagen Hydrogel Preparation Using Machine Learning by Mengyu Li, Long Zhao, Yanan Ren, Linfei Zuo, Ziyi Shen, Jiawei Wu

Get full text

Selective Laser Sintering of Polymers: Process Parameters, Machine Learning Approaches, and Future Directions by Hossam M. Yehia, Atef Hamada, Tamer A. Sebaey, Walaa Abd-Elaziem

Get full text

Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

Get full text

An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review by R. Thamizh Mani, Vikram Palimar, Mamatha Shivananda Pai, T.S. Shwetha, M. Nirmal Krishnan

Get full text