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Machine learning algorithms

Improved predictive formulae for wave overtopping at sloped breakwaters using interpretable machine learning models

M. A. Habib, S. Abolfathi, J. J. O’Sullivan, M. Salauddin

Accuracy of AI-based binary classification for detecting malocclusion in the mixed dentition stage

Kengo Oka, Saki Uemura, [ ... ], Kei Kurita

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, 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

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