Predictive machine learning in optimizing the performance of electric vehicle batteries: Techniques, challenges, and solutions
Sign Up to like & getrecommendations! Published in 2024 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1539
Abstract: This research paper explores the importance of optimizing the performance of electric vehicle (EV) batteries to align with the rapid growth in EV usage. It uses predictive machine learning (ML) techniques to achieve this optimization.… read more here.
Keywords: electric vehicle; optimizing performance; performance; performance electric ... See more keywords
Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia
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DOI: 10.1038/s41598-025-01047-6
Abstract: Friedreich ataxia (FRDA) is a rare, inherited progressive movement disorder for which there is currently no cure. The field urgently requires more sensitive, objective, and clinically relevant biomarkers to enhance the evaluation of treatment efficacy… read more here.
Keywords: composite biomarkers; history; progression; predictive machine ... See more keywords
Drivers of success in Somaliland's preschools: a predictive machine learning model of leadership commitment and institutional capacity
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Education"
DOI: 10.3389/feduc.2025.1643452
Abstract: This study develops a predictive machine learning model to identify the primary drivers of success in Somaliland's public preschools, conceptualized as institutional capacity. Early childhood education (ECE) is critical for development in post-conflict regions, yet… read more here.
Keywords: capacity; somaliland; institutional capacity; commitment ... See more keywords