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Machine learning

Multi-region electricity demand prediction with ensemble deep neural networks

Muhammad Irfan, Ahmad Shaf, [ ... ], Nagi Abdussamiee

Automated 3-dimensional MRI segmentation for the posterosuperior rotator cuff tear lesion using deep learning algorithm

Su Hyun Lee, JiHwan Lee, [ ... ], Seok Won Chung

AI-Driven sleep staging from actigraphy and heart rate

Tzu-An Song, Samadrita Roy Chowdhury, [ ... ], Joyita Dutta

Virtual screening of antimicrobial plant extracts by machine-learning classification of chemical compounds in semantic space

Hiroaki Yabuuchi, Kazuhito Hayashi, [ ... ], Kazuyuki Miyai

Mitigating carbon footprint for knowledge distillation based deep learning model compression

Kazi Rafat, Sadia Islam, [ ... ], Nabeel Mohammed

Developing forecasting model for future pandemic applications based on COVID-19 data 2020–2022

Wan Imanul Aisyah Wan Mohamad Nawi, Abdul Aziz K. Abdul Hamid, [ ... ], Mohd Tajuddin Abdullah

Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach

Md. Mohsan Khudri, Kang Keun Rhee, Mohammad Shabbir Hasan, Karar Zunaid Ahsan

Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network

Fahad Khalil Peracha, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem

Actual evapotranspiration by machine learning and remote sensing without the thermal spectrum

Taiara Souza Costa, Roberto Filgueiras, Robson Argolo dos Santos, Fernando França da Cunha

Henry gas solubility optimization double machine learning classifier for neurosurgical patients

Diana T. Mosa, Amena Mahmoud, [ ... ], Tamer Abuhmed

Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles

Fernando Yepes-Calderon, J. Gordon McComb

A method for rapid machine learning development for data mining with doctor-in-the-loop

Neva J. Bull, Bridget Honan, Neil J. Spratt, Simon Quilty

Using Artificial Intelligence (AI) to predict organizational agility

Niusha Shafiabady, Nick Hadjinicolaou, [ ... ], James Vakilian

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