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Forecasting

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder, Alpaslan Yaşar

Predicting oil contamination in water using machine learning on microbial compositions

Tong Gao, Isaac Bigcraft, Stephen Techtmann, Issei Nakamura

Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction

Namal Rathnayake, Mahesh Yadev, [ ... ], Yukinobu Hoshino

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

Lawrence Fulton, Pin Lyu

Data-driven p-norms for estimating transmission loss coefficients in power systems

Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña

Application of seasonal-adjusted hybrid models for forecasting Discomfort Index in a heat-prone region of Bangladesh

Amrin Binte Ahmed, Md. Mahin Uddin Qureshi, [ ... ], Rumana Rois

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

Cooperation mode selection and information sharing in a live streaming e-commerce supply chain with traffic data investment

Huan Wang, Aimin Zhu, [ ... ], Zhiting Meng

Forecasting emergency department visits in the reference hospital of the Balearic Islands: The role of tourist and weather data

Paride Crisafulli, Angel del Río Mangada, [ ... ], Tobias Galla

Machine learning driven optimization of biomedical waste ash concrete for sustainable construction

Christo George, Sathvik Sharath Chandra, [ ... ], George Uwadiegwu Alaneme

Machine learning-driven optimization of monolithic gold plasmonic sensors: Achieving ultrahigh sensitivity with interpretable linear models

Sonia Akter, Hasan Abdullah

Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting

Tombolaza Canut Filamant, Angelo Fulgence Raherinirina, André Totohasina

MTMF-Grid: A multi-task multi-modal fusion model for operational forecasting and decision support in power grids

Dongyu Zhang, Biao Shen, [ ... ], Yuqi Bing

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