LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning
Sensors, 2023 The Internet of Things is rapidly growing with the demand for low-power, long-range wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one such technology that has gained significant attention in recent years due to its ...
Arshad Farhad, Jae-Young Pyun
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Explainable Mental Health Chat Support using MKO-DEBiGRU with Knowledge Graph and SHAP [PDF]
ITM Web of ConferencesRecently, mental health chat support has become increasingly important for providing timely assistance and guidance to users seeking psychological assistance.
Nagarathna P. +3 more
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Optimizing Distributed Energy Storage Deployment in Smart Grids for Enhanced Grid Performance and Energy Management [PDF]
E3S Web of ConferencesLarge-scale hydroelectric is the most mature kind of energy storage, but medium- and small-scale plants are used widely with renewable energy sources that are likely to be integrated in the next generation electrical distribution system or smart grid ...
Reddy K. Jyothsna +5 more
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AUDITING SPECIAL ORDERS IN THE AUTOMOTIVE PRODUCTION AREA - THE IMPACT OF AI AND RPA ON THIS ACTIVITY. A CASE STUDY. [PDF]
Annals of the University of Craiova: Economic Sciences Series, 2021 This case study was conducted in a company that produces car subassemblies for a number of road cars, the company's headquarters being in Germany.
Viorel - Costin Banta +2 more
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Multilayer Fisher extreme learning machine for classification
Complex & Intelligent Systems, 2022 As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years.
Jie Lai +4 more
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The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting [PDF]
, 2019 The numerous recent breakthroughs in machine learning (ML) make imperative to carefully ponder how the scientific community can benefit from a technology that, although not necessarily new, is today living its golden age.
Andrejková G. +19 more
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Machine learning challenges in theoretical HEP [PDF]
, 2017 In these proceedings we perform a brief review of machine learning (ML) applications in theoretical High Energy Physics (HEP-TH). We start the discussion by defining and then classifying machine learning tasks in theoretical HEP.
Carrazza, Stefano
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Probability density estimation of photometric redshifts based on machine learning [PDF]
, 2017 Photometric redshifts (photo-z's) provide an alternative way to estimate the distances of large samples of galaxies and are therefore crucial to a large variety of cosmological problems.
Amaro, Valeria +5 more
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF AN AUDIT PLAN FOR ORDERS IN THE AUTOMOTIVE INDUSTRY. A CASE STUDY [PDF]
Annals of the University of Craiova: Economic Sciences Series, 2022 The use of artificial intelligence is becoming more and more stringent in all industries in the world. The step towards digitization comes somewhat in line with what is desired in companies, human errors wanting to be removed as soon as possible and ...
Viorel - Costin Banța +3 more
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THE IMPACT OF THE AUDIT ACTIVITY, USING AI, RPA AND ML IN THE ACTIVITY OF CREATING THE DELIVERY LIST AND THE PRODUCTION PLAN IN CASE OF A PRODUCTION RANGE. A CASE STUDY. [PDF]
Annals of the University of Craiova: Economic Sciences Series, 2022 The realization of this case study aims to highlight the necessary steps in a subassembly production process, to create, to audit the economic processes behind such a production development.
Viorel - Costin Banta +2 more
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