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Forecasting

An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients

Xiaoyu Wu, Isaac Luria, [ ... ], Baiming Zou

Predicting oil contamination in water using machine learning on microbial compositions

Tong Gao, Isaac Bigcraft, Stephen Techtmann, Issei Nakamura

Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models

Weiwei Zhou, Youfeng Zou, [ ... ], Jibiao Hu

Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution

Gyu-Seong Lee, Hyeong-Gyu Choi, Dae-Keun Park, Hyo Young Kim

Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction

Farideh Mohtasham, Seyed Saeed Hashemi Nazari, [ ... ], Mohammad Reza Zali

Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction

Hong Ma, Muhammad Fadhil Marsani, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin

Integrated spatial-temporal feature alignment with graph convolutional and gated recurrent networks for traffic flow prediction

Karimeh Ibrahim Ata, Mohd Khair Hassan, [ ... ], Md Azizul Hoque

Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism

Jiaolong Li, Zhaoji Yu, Jichen Zhang, Weigao Meng

An intelligent control algorithm for gas precise drainage problem based on Model Predictive Control

Liyun Han, Yanli Wang

Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm

Hamed Tabesh, Ali AbbaszadehMozaffari, Zahra Ebnehoseini, Azadeh Saki

Data fusion-based traffic prediction and software decision support for recreational suburban roads

Shahriar Afandizadeh, Saeid Abdolahi, Hamid Mirzahossein

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability

Lawrence Fulton, Pin Lyu

A hybrid BiLSTM and rule-based system for integrated diabetes prediction and personalized guidance

Muhammad Saleem, Muhammad Hamid, Saadia Malik

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