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Evaluating interpretable machine learning predictions for cryptocurrencies

El Majzoub, Ahmad; Rabhi, Fethi A.; Hussain, Walayat - In: Intelligent systems in accounting, finance & management 30 (2023) 3, pp. 137-149

Persistent link: https://www.econbiz.de/10014375320

MCDA techniques used in optimization of weights and ratings of DRASTIC model for groundwater vulnerability assessment

Kumar, Prashant; Sharma, Reema Bera; Bhaumik, Subhasis - In: Data science and management : DSM 5 (2022) 1, pp. 28-41

DRASTIC is a very simple and common model used for the assessment of groundwater to contamination. This model is widely used across the world in various hydrogeological environments for groundwater vulnerability assessment. The Ohio Water Well Association (OWWA) developed DRASTIC model in 1987....

Persistent link: https://www.econbiz.de/10014517935

Predicting stock price crash risk in China : a modified graph WaveNet model

Jing, Zhongbo; Li, Qin; Zhao, Hongyi; Zhao, Yang - In: Finance research letters 64 (2024), pp. 1-9

Persistent link: https://www.econbiz.de/10014531799

Demographic efficiency drivers in the Chinese energy production chain : a hybrid neural multi-activity network data envelopment analysis

Zhao, Yue; Antunes, Jorge Junio Moreira; Tan, Yong; … - In: International journal of finance & economics : IJFE 29 (2024) 2, pp. 1762-1780

Persistent link: https://www.econbiz.de/10014533328

Developing an IoT and machine learning-based monitoring system for discrete production processes

Król, Krzysztof; Oleszek, Michał; Bartnik, Grzegorz; … - In: European research studies 27 (2024), pp. 38-48

Persistent link: https://www.econbiz.de/10014543384

Prediction of realized volatility and implied volatility indices using AI and machine learning : a review

Gunnarsson, Elias Søvik; Isern, Håkon Ramon; … - In: International review of financial analysis 93 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10014543698

An intelligent algorithm to predict GDP rate and find a relationship between COVID‑19 outbreak and economic downturn

Rahmani, Amir Masoud; Mirmahaleh, Seyedeh Yasaman Hosseini - In: Computational economics 63 (2024) 3, pp. 1001-1020

Persistent link: https://www.econbiz.de/10014546239

Hierarchical RNN-based framework for throughput prediction in automotive production systems

Chen, Mengfei; Furness, Richard; Gupta, Rajesh; … - In: International journal of production research 62 (2024) 5, pp. 1699-1714

Persistent link: https://www.econbiz.de/10014546268

A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop

Wang, Shengbo; Guo, Yu; Huang, Shaohua; Liu, Daoyuan; … - In: International journal of production research 62 (2024) 10, pp. 3638-3653

Persistent link: https://www.econbiz.de/10014547082

Probabilistic hierarchical forecasting with deep Poisson mixtures

Olivares, Kin G.; Nganba Meetei, O.; Ma, Ruijun; Reddy, … - In: International journal of forecasting 40 (2024) 2, pp. 470-489

Persistent link: https://www.econbiz.de/10014547171