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Forecasting

“When the Emerald wood dove calls, the earth prepares to drink”: Community elders lived experiences of indigenous weather forecasting in eastern Mount Kenya region

Beatrice N. Warue, Stephen K. Mucheke, Richard Muita, Adelaide M. Lusambili

Resilient modulus characteristics and model prediction of cement phosphogypsum under dry-wet cycling conditions

Wengang Gan, Kaisheng Chen, [ ... ], Shuang Deng

PPDRTL: A novel framework for predicting pollutant deposition on roadside tree leaves using linear regression

Neelam Yadav, Sunil K. Singh, [ ... ], Kwok Tai Chui

Assessment of genomic prediction and genetic gain in multi‑population half-sib families in the perennial grass crop intermediate wheatgrass

Prabin Bajgain, Jacob M. Jungers, James A. Anderson

AI-assisted forecasting in microsurgery: A dual-component framework for global publication trends

Georgios Bouloukakis, Georgios Karamitros, [ ... ], William C. Lineaweaver

Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete

Nguyen Thi Thu Nga, Nguyen Anh Tuan, Nguyen Tuan Tu, Huyen Thi Dang

Data-intelligence-driven flood forecasting and early warning in a small river basin: A BiLSTM model integrated with the “631” response mechanism

Peisheng Yang, Xiaohua Xu, [ ... ], Longhui Zhu

Machine learning framework for predicting ESDD on high-voltage glass insulators with SHAP-based feature optimization

Ali Ahmed Salem, Waleed M. Hamanah, [ ... ], Samir Al-Gailani

Graph convolutional network for modeling corridor-based urban transformation: Revealing spatial coherence in land-use change in Erbil

Mustafa Aziz Amen, Hourakhsh Ahmad Nia, Amen Mustafa Aziz

Evolution patterns and characteristics of ballasted track bed lateral resistances in cold regions under progressive freezing of ice layers

Jianxing Liu, Wei Qi, [ ... ], Zhiwei Ma

Assessment of generative de novo peptide design methods for G protein-coupled receptors

Hannes Junker, Clara T. Schoeder

Improving corrosion depth estimation in buried pipelines using SMOTE-integrated machine and deep learning models

Mohamed Khalid AlOmar, Mohammed Majeed Hameed, [ ... ], Ali Salem

Depression prediction and key factors: A comparative analysis of logistic regression and machine learning models

Kripa Josten, Vennila Jaganathan

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