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Titlebook: Emerging Challenges in Intelligent Management Information Systems; Proceedings of 26th Marcin Hernes,Jarosław Wątróbski Conference proceed

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https://doi.org/10.1057/9780230627468ssels that can navigate autonomously or remotely, carry payloads, and be disposable or repairable. UMV networks are formations of autonomous vessels without a command, capable of carrying payloads. Technologies to suppress and counter UMVs have become kye areas of research. Jamming disrupts multi-ch
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Ali Mirzazadeh,Mohammad Reza Baneshimic AI analysis (AMC) in scoring models for calculating LGD (Losses Given Default) – the bank’s percentage share of credit losses (in case of non-payment or delayed repayment of the loan). Analysis based on simulation data generated on the basis of probability distributions, which were obtained from
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https://doi.org/10.1007/1-4020-3791-0ly because of the speed and frequency but also by ruling out the influence of human emotions. Over the years many programming languages were used for machine learning research and system development. Python being easy to learn but still powerful has become popular within the scientific computing com
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Fourier Transform Infrared Spectroscopymands for personalized products. The way their needs are met and understanding their consumer behaviors should allow companies to continuously analyze trends within the target group. In the current era of globalization, the Internet, and Big Data, using traditional methods alone may lead to companie
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