Search Results - subject:"learning algorithms"

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Information Systems and Technological Advances for Sustainable Development : Proceedings of the Fifth International Conference DATA2024, Kosice, Slovakia

Ben Ahmed, Mohamed (ed.); Boudhir, Anouar Abdelhakim (ed.); … - International Conference on Digital Age & Technological … - 2024

Information Systems for Sustainable Development -- Technological Advances for Sustainable Development -- Smart Energy Management for Sustainable Development -- Digital Learning for Sustainable Development -- E-Healthcare for Sustainable Development -- Smart GIS and Earth Management.

Persistent link: https://www.econbiz.de/10015147806

Using machine learning for NEETs and sustainability studies : determining best machine learning algorithms

Berigel, Muhammet; Boztaş, Gizem Dilan; Rocca, Antonella; … - In: Socio-economic planning sciences : the international … 94 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10014552652

Fundamental predictors of price bubbles in precious metals : a machine learning analysis

Uyar, Sinem Guler Kangalli; Uyar, Umut; Balkan, Emrah - In: Mineral economics : raw materials report 37 (2024) 1, pp. 65-87

Persistent link: https://www.econbiz.de/10014536715

Feature-based inventory control with censored demand

Ding, Jingying; Huh, Woonghee Tim; Ying, Rong - In: Manufacturing & service operations management : M & SOM 26 (2024) 3, pp. 1157-1172

Persistent link: https://www.econbiz.de/10014536812

The predictive roles of financial indicators and governance scores on firms' emission performance in the tourism and hospitality industry

Olorunsola, Victor Oluwafemi; Saydam, Mehmet Bahri; … - In: Tourism economics : the business and finance of tourism … 30 (2024) 6, pp. 1382-1403

Persistent link: https://www.econbiz.de/10015057021

ERP adoption prediction using machine learning techniques and ERP selection among SMEs

Basu, Aveek; Jha, Rohini - In: International journal of business performance … 25 (2024) 2, pp. 242-270

Persistent link: https://www.econbiz.de/10015063071

Using inverse DEA and machine learning algorithms to evaluate and predict suppliers' performance in the apple supply chain

Lin, Sheng-Wei; Lu, Wen-Min - In: International journal of production economics 271 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10015049414

Firm-level climate change risk and adoption of ESG practices: a machine learning prediction

Khan, Mushtaq Hussain; Zein Alabdeen, Zaid; Anupam, Angesh - In: Business Process Management Journal 30 (2024) 6, pp. 1741-1763

Purpose By combining the notion of prospect theory with advanced machine learning algorithms, this study aims to … investigation, we compared the prediction accuracy of various machine learning algorithms. Findings Our findings suggest that out of … 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs …

Persistent link: https://www.econbiz.de/10015341705

Artificial intelligence in retail: Benefits and risks associated with mobile shopping applications

Victoria, Stanciu; Rindasu, Sinziana-Maria - In: Amfiteatru Economic Journal 23 (2021) 56, pp. 46-64

The objective of the study is to examine the practical implications of using artificial intelligence (AI) based solutions in the case of retail mobile applications, to enhance the online shopping experience and improve the engagement by also having in mind the privacy of the users. We examined...

Persistent link: https://www.econbiz.de/10014462069

Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany

Wenninger, Simon; Wiethe, Christian - In: Business & Information Systems Engineering 63 (2021) 3, pp. 223-242

To achieve ambitious climate goals, it is necessary to increase the rate of purposeful retrofit measures in the building sector. As a result, Energy Performance Certificates have been designed as important evaluation and rating criterion to increase the retrofit rate in the EU and Germany. Yet,...

Persistent link: https://www.econbiz.de/10014501879