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Sustainability of advance machine learning algorithms in manufacturing

Nain, Somvir Singh - In: Sustainable procurement in supply chain operations, (pp. 465-482). 2019

Persistent link: https://www.econbiz.de/10012035861

How is a machine learning algorithm now-casting stock returns? : a test for ASELSAN

Sorhun, Engin - In: Blockchain economics and financial market innovation : …, (pp. 531-548). 2019

learning process (splitting data, choosing the best performing algorithm among the alternatives, and testing this algorithm for …

Persistent link: https://www.econbiz.de/10012150061

Stylized algorithmic trading : satisfying the predictive near-term demand of liquidity

Sun, Edward W.; Kruse, Timm; Chen, Yi-Ting - In: Decision making and risk/return optimization in …, (pp. 315-347). 2019

Persistent link: https://www.econbiz.de/10012134866

Predicting demand for air taxi urban aviation services using machine learning algorithms

Rajendran, Suchithra; Srinivas, Sharan; Grimshaw, Trenton - In: Journal of air transport management 92 (2021), pp. 1-9

Persistent link: https://www.econbiz.de/10012507733

A comparative analysis of machine learning algorithms for image classification : evaluating performance

Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024

Persistent link: https://www.econbiz.de/10014633436

Predictive modeling of foreign exchange trading signals using machine learning techniques

Enkhbayar, Sugarbayar; Ślepaczuk, Robert - 2024

Persistent link: https://www.econbiz.de/10014634708

A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains

Lahmiri, Salim - In: Supply chain analytics 2 (2023), pp. 1-7

-nearest neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven … analysis (84.5%), k-NN algorithm (80.5%), and Gaussian naïve Bayes (71.3%). Accordingly, the choice of statistical machine … learning algorithm influences classification accuracy related to electric drive fault diagnosis. In addition, decision trees …

Persistent link: https://www.econbiz.de/10014516481

Prediction of Brand Loyalty on Supervised Machine Learning Algorithms

Madireddy, Vijay Reddy - 2022

tree, support vector machine, bayes algorithm and K-nearest neighbors (KNN) algorithm. 265 clients' FMCG loyalty test …

Persistent link: https://www.econbiz.de/10014241204

Forecasting power load : a hybrid forecasting method with intelligent data processing and optimized artificial intelligence

Dai, Yeming; Yang, Xinyu; Leng, Mingming - In: Technological forecasting & social change : an … 182 (2022), pp. 1-11

Persistent link: https://www.econbiz.de/10013449046

Predicting Money Laundering Sanctions Using Machine Learning Algorithms

Lokanan, Mark - 2022

This article predicts the likelihood of a country being sanctioned by Basel for not adhering to anti-money laundering (AML) standards. Multiple machine learning algorithms were used to identify the strongest risk predictors, resulting in Basel sanctions against a country. In terms of sanction...

Persistent link: https://www.econbiz.de/10014079038