Výsledky vyhľadávania - "Green AI"
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Autori:
Zdroj: European Energy and Environmental Law Review. 34:25-37
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Autori: a ďalší
Zdroj: 2025 IEEE/ACM 9th International Workshop on Green and Sustainable Software (GREENS). :76-83
Predmety: ddc:004, text classification, energy consumption, DATA processing & computer science, Green AI, natural language processing, sustainability metrics
Popis súboru: application/pdf
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3
Autori: a ďalší
Zdroj: Neural Computing and Applications. 37:18233-18274
Predmety: XAI, Clinical DSSs, Machine learning, Green AI, Outcome prediction
Popis súboru: application/pdf
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4
Autori:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)Predmety: Software engineering, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Green software, Sustainability, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Green AI
Popis súboru: application/pdf
Prístupová URL adresa: https://hdl.handle.net/2117/439624
https://doi.org/10.1145/3712007 -
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Autori: a ďalší
Zdroj: Soft Computing. 29:3675-3690
Popis súboru: application/pdf
Prístupová URL adresa: https://hdl.handle.net/20.500.14243/544032
https://doi.org/10.1007/s00500-025-10646-4 -
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Autori: Chitakunye, Rumbidzai
Zdroj: 2025 IEEE/ACM 4th International Conference on AI Engineering – Software Engineering for AI (CAIN). :253-255
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Autori: Ripal Ranpara
Zdroj: Discover Sustainability, Vol 6, Iss 1, Pp 1-15 (2025)
Predmety: Green AI, Circular economies, Energy efficiency, Sustainable resource management, Machine learning frameworks, Optimization algorithms, Environmental sciences, GE1-350
Popis súboru: electronic resource
Relation: https://doaj.org/toc/2662-9984
Prístupová URL adresa: https://doaj.org/article/63fab4e7b11345f0a6e69cc65ac6e122
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Autori: Schloemer, Joost H.
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Autori: Schloemer, Joost H. Schloemer
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10
Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Nature Communications. 16
Predmety: Bionics, [SCCO.NEUR] Cognitive science/Neuroscience, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Green AI, Route-following, Familiarity-based navigation, Biomimetism, Neural network, ant-inspired, Bioinspiration, Navigation, Biorobotics, Bio-inspired robotics, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Familiarity-based vision, Biomimicry, Mushroom Bodies, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Popis súboru: application/pdf
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Autori:
Zdroj: Results in Engineering, Vol 27, Iss, Pp 105916-(2025)
Predmety: Technology, Sustainability, Smart buildings, Sensors, Energy management, Green AI
Prístupová URL adresa: https://doaj.org/article/77c4aac896294fc989f76336cd95e62b
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Autori: a ďalší
Zdroj: ACM Transactions on Computing for Healthcare.
Predmety: Green AI, Computational Efficiency, Knowledge Distillation, Deep Supervision, Preterm Infants
Popis súboru: application/pdf
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14
Autori: a ďalší
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)Predmety: Computer Science - Software Engineering, Software engineering, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Green software, Sustainability, Green AI
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2401.17150
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Autori: a ďalší
Zdroj: Studies in Health Technology and Informatics ISBN: 9781643685960
Rehman, Z U, Hassan, U, Islam, S U, Gallos, P & Boudjadar, J 2025, Energy-Efficient AI for Medical Diagnostics : Performance and Sustainability Analysis of ResNet and MobileNet. in Intelligent Health Systems – From Technology to Data and Knowledge. IOS Press, Studies in Health Technology and Informatics, vol. 327, pp. 1225-1229. https://doi.org/10.3233/SHTI250585Predmety: Energy-efficient AI, Green AI, Artificial Intelligence (AI), MobileNet, Machine learning (ML), Medical diagnostics, ResNet, Energy consumption, Deep Learning, Sustainability, Artificial Intelligence, CheXpert dataset, Deep learning (DL), Power efficiency, Humans, Diagnosis, Computer-Assisted
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16
Predmety: ai and green ai, computer applications, software engineering, computer security and cyber security, computer networks and cloud computing, multimedia, Computer software, QA76.75-76.765
Popis súboru: electronic resource
Relation: https://jscca.uotechnology.edu.iq/jscca/aimsandscope.html; https://jscca.uotechnology.edu.iq/jscca/; https://jscca.uotechnology.edu.iq/jscca/information_for_authors.html
Prístupová URL adresa: https://doaj.org/toc/3008-1084
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Autori: a ďalší
Zdroj: Lecture Notes in Computer Science ISBN: 9783031812408
Numerical Computations: Theory And Algorithms (Numta 2023), Pizzo (VV), 14-20/06/2023
info:cnr-pdr/source/autori:Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri/congresso_nome:Numerical Computations: Theory And Algorithms (Numta 2023)/congresso_luogo:Pizzo (VV)/congresso_data:14-20%2F06%2F2023/anno:2023/pagina_da:/pagina_a:/intervallo_paginePredmety: Deep Learning, Process Deviance Mining, Deep Learning, Multi-task Learning, Green AI, Container Log Analysis, Container Log Analysis, Green AI, Multi-task Learning, Process Deviance Mining
Popis súboru: application/pdf
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Autori: a ďalší
Zdroj: 2024 10th International Conference on ICT for Sustainability (ICT4S). :172-182
Predmety: Machine Learning, Software Engineering (cs.SE), FOS: Computer and information sciences, machine learning, controlled experiment, 11. Sustainability, Green AI, Software Engineering, concept drift, 7. Clean energy, energy efficiency, 12. Responsible consumption, Machine Learning (cs.LG)
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2404.19452
https://hdl.handle.net/1871.1/bf2c715a-4f64-42f7-9f93-29020c458374
https://doi.org/10.1109/ICT4S64576.2024.00026
https://research.vu.nl/en/publications/bf2c715a-4f64-42f7-9f93-29020c458374
https://hdl.handle.net/11697/257821
https://doi.org/10.1109/ict4s64576.2024.00026 -
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Autori: a ďalší
Zdroj: E-Energy
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, federated learning, green AI, sustainable computing, 7. Clean energy, Machine Learning (cs.LG), Computer Science - Distributed, Parallel, and Cluster Computing, 13. Climate action, carbon efficiency, electricity curtailment, client selection, Distributed, Parallel, and Cluster Computing (cs.DC), 000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung, Informatik
Prístupová URL adresa: http://arxiv.org/abs/2305.15092
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Autori: a ďalší
Zdroj: Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI. :18-23
Predmety: Computer Science - Machine Learning, Computer Science - Software Engineering, machine learning, AI-based systems, green AI, architectural design decisions
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