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Machine learning algorithms

Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms

Md. A. Salam, Samiul Islam, [ ... ], Md. Rezaul Karim

STF-DKANMixer: Tri-component decomposition with KAN-MLP hybrid architecture for time series forecasting

Junxiang Wei, Rongzuo Guo, Yuning Wang

Flight delay prediction: Evaluating machine learning algorithms for enhanced accuracy

Sarah Ahmed A. AlBassam, Samira Dhafir N. AlShahrani

Minimum Displacement in Existing Moment (MDEM)- A new supervised learning algorithm by incrementally constructing the moments of the underlying classes

Ahmed Mehedi Nizam

Identification and validation of palmitoylation-related signature genes based on machine learning for prostate cancer

Qijun Wo, Jiafeng Shou, [ ... ], Liping Xie

Single replica spin-glass phase detection using field variation and machine learning

Ali Talebi, Mahsa Bagherikalhor, Behrouz Askari, G. Reza Jafari

Predicting IVF outcomes using a logistic regression–ABC hybrid model: A proof-of-concept study on supplement associations

Uğur Ejder, Pınar Uskaner Hepsağ

Predicting the risk of postoperative constipation in middle-aged and elderly patients with lower limb fractures using machine learning algorithms

Xiaoyan Yang, Wenqiang Li, [ ... ], Sulian Li

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Albumin-corrected anion gap as a predictor of 28-day mortality in acute respiratory distress syndrome: A machine learning-based retrospective study

Qiudie Liu, Mengqi Zhang, Daoxin Wang

Cross-modal fusion of brain imaging and clinical data for Parkinson’s disease progression prediction

Jinyu Wen, Amei Chen, [ ... ], Xinhua Wei

Deep learning-based forest fire detection using an improved SSD algorithm with CBAM

Diansheng Zhang, Yueyuan Zhang, [ ... ], Zhiwei Liu

Classifying complex multimorbidity using latent class analysis and machine learning to generate insights into clustering of mental and cardiometabolic conditions

Moumita Mukherjee, Samhita Mukherjee, Hruthik Reddy Thokala, Raja Hashim Ali

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