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Machine learning algorithms

Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach

S. M. Jubaidur Rahman, N. A. M. Faisal Ahmed, [ ... ], Md. Maniruzzaman

EA³: A softmax algorithm for evidence appraisal aggregation

Francesco De Pretis, Jürgen Landes

Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule

Juyoung Lee, Brian Bartholmai, [ ... ], Seong Yong Park

A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

Syed Waseem Abbas Sherazi, Jang-Whan Bae, Jong Yun Lee

Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach

Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib

Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm

Nesma M. Ashraf, Reham R. Mostafa, Rasha H. Sakr, M. Z. Rashad

COVID-19 detection using federated machine learning

Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan

Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt

Zhaohan Wang, Zijie Zhao, Chengxin Wang

Deployment optimization of multi-stage investment portfolio service and hybrid intelligent algorithm under edge computing

Xuecong Zhang, Haolang Shen, Zhihan Lv

Topology identification in distribution system via machine learning algorithms

Peyman Razmi, Mahdi Ghaemi Asl, Giorgio Canarella, Afsaneh Sadat Emami

Signal-piloted processing and machine learning based efficient power quality disturbances recognition

Saeed Mian Qaisar

Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios

Naser Shiri, Jalal Shiri, [ ... ], Mohammad Zounemat-Kermani

Prediction of suicidal ideation and attempt in 9 and 10 year-old children using transdiagnostic risk features

Gareth Harman, Dakota Kliamovich, [ ... ], Bonnie J. Nagel

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