Machine Learning Based Range Prediction
Machine Learning Based Range Prediction is a computational framework within range estimation that employs machine learning algorithms to model and predict distance or spatial extent from sensor or environmental data, distinguishing itself from traditional rule-based or signal-processing techniques through its reliance on data-driven learning and generalization.
14
Publications
608
Citations
51
Authors
35
Institutions
Publications per year
2017–2026
7
Parents
14
Machine Learning-Based Method for Remaining Range Prediction of Electric Vehicles
Zhao Liang, Wei Yao, Yu Wang et al. · IEEE Access · 2020 · 102 citations · Full text
Optimized algorithms for predictive range and KNN queries on moving objects
Rui Zhang, H. V. Jagadish, Bing Tian Dai et al. · Information Systems · 2010 · 57 citations · Full text
1–5 of 14
51
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2
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University of Electronic Science and Technology of China, China
1 publications · 38 citations
1
h-index
1–5 of 51
35
Beijing Jiaotong University
Beijing, China
3 h-index
8 publications
487 citations
China Automotive Engineering Research Institute
Chongqing, China
1 h-index
1 publications
14 citations
Düzce Üniversitesi
Düzce, Türkiye
1 h-index
2 publications
162 citations
Thuyloi University
Hanoi, Vietnam
1 h-index
2 publications
58 citations
Vietnam National University of Agriculture
Hanoi, Vietnam
1 h-index
2 publications
58 citations

Universidad Metropolitana
San Juan, Puerto Rico
1 h-index
1 publications
14 citations
Buraydah Colleges
Buraidah, Saudi Arabia
1 h-index
1 publications
28 citations
RIKEN Center for Biosystems Dynamics Research
Kobe, Japan
1 h-index
1 publications
28 citations
1–8 of 35
1 publications · 81 citations
1
h-index
1 publications · 107 citations
1
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1 publications · 29 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 102 citations
1
h-index
1–5