Suchergebnisse - special issue on intelligence computing methodologies in machine learning for iot applications

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  1. 1

    Comprehensive Analysis of Publications on the Use of Artificial Intelligence in Aquaculture Published in Web of Science.

    Alternate Title: Web of Science'da Yayımlanan Su Ürünleri Yetiştiriciliğinde Yapay Zekanın Kullanımı Konusundaki Yayınların Kapsamlı Analizi.

    Autoren: AYDIN, Hamdi1 aydin@kocaeli.edu.tr

    Quelle: Journal of Anatolian Environmental & Animal Science. 2025, Vol. 10 Issue 3, p237-246. 10p.

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  2. 2

    Shaping the Future of IoT with Edge Intelligence : How Edge Computing Enables the Next Generation of IoT Applications

    Autoren: Rute C. Sofia John Soldatos

    Resource Type: eBook.

    Schlagworte: Edge computing, Internet of things

    Categories: COMPUTERS / Distributed Systems / Cloud Computing, COMPUTERS / Artificial Intelligence / General, SCIENCE / Energy, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Internet of Things (IoT)

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  3. 3

    Editorial introduction to J.UCS special issue Challenges for Smart Environments – Human-Centered Computing, Data Science, and Ambient Intelligence I

    Autoren: Nelson Baloian José Pino

    Quelle: Journal of Universal Computer Science, Vol 27, Iss 11, Pp 1149-1151 (2021)

    Schlagwörter: Electronic computers. Computer science, QA75.5-76.95

    Dateibeschreibung: electronic resource

    Relation: https://lib.jucs.org/article/76554/download/pdf/; https://lib.jucs.org/article/76554/download/xml/; https://lib.jucs.org/article/76554/; https://doaj.org/toc/0948-6968

    Zugangs-URL: https://doaj.org/article/8d943c2d2a6c4f4497795f650d9eb8f3

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  4. 4

    Special issue on intelligent computing methodologies in machine learning for IoT applications.

    Autoren: Zhao, Jinghua Xuan, Junyu

    Quelle: Neural Computing & Applications; Jul2021, Vol. 33 Issue 14, p8105-8106, 2p

    Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, INTELLIGENT transportation systems, PARTICLE swarm optimization, ARTIFICIAL neural networks, COMPUTER vision, DEEP learning

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  5. 5

    ArtificialIntelligence in Geriatric Healthcare: Opportunities and Challengesin a Transforming Landscape.

    Autoren: Sankaran, Ashwin Singla, Priyanka

    Quelle: Frontiers in Health Informatics; 2024, Vol. 13 Issue 7, p897-908, 12p

    Schlagwörter: ARTIFICIAL intelligence, DIGITAL transformation, DATA privacy, LABOR market, MACHINE learning

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  6. 6

    Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence.

    Autoren: Mazhar, Tehseen Talpur, Dhani Bux Shloul, Tamara Al et al.

    Quelle: Brain Sciences (2076-3425); Apr2023, Vol. 13 Issue 4, p683, 30p

    Schlagwörter: ARTIFICIAL intelligence, SMART cities, DEEP learning, MACHINE learning, INTERNET content, FACIAL transplantation

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  7. 7

    New Methods and Technologies of Hydraulic Engineering Safety Assessment.

    Autoren: Ma, Chunhui Yang, Jie Cheng, Lin

    Quelle: Water (20734441); Jun2025, Vol. 17 Issue 12, p1773, 5p

    Schlagwörter: MACHINE learning, WATER management, WATER conservation projects, HYDRAULIC structures, CONCRETE dams, DAM failures, TUNNELS, WATER diversion, WATER pipelines

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  8. 8

    AI and Data Technologies in Advancing Sustainable Development Goals.

    Autoren: Rajaonson, Juste Schmitt, Ketra

    Quelle: IEEE Technology & Society Magazine; Mar2024, Vol. 43 Issue 1, p33-38, 6p

    Schlagwörter: SUSTAINABLE development, ARTIFICIAL intelligence, MACHINE learning, SENTIMENT analysis

    Firma/Körperschaft: UNITED Nations

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  9. 9

    Industrial Artificial Intelligence Technologies and Applications

    Autoren: Ovidiu Vermesan Franz Wotawa Mario Diaz Nava et al.

    Resource Type: eBook.

    Schlagworte: Artificial intelligence

    Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory, COMPUTERS / Internet / General, SCIENCE / Energy

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  10. 10

    A Non-Invasive Diagnostic Platform for Canine Leishmaniasis Using VOC Analysis and Distributed Veterinary Infrastructure.

    Autoren: Mihailescu, Marius Iulian Simion, Violeta Elena Ursachi, Alexandra et al.

    Quelle: Veterinary Sciences. Aug2025, Vol. 12 Issue 8, p732. 27p.

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  11. 11

    Intelligent Computing Methodologies

    Autoren: De-Shuang Huang Kang-Hyun Jo Junfeng Jing et al.

    Resource Type: eBook.

    Schlagworte: Computational intelligence, Computer systems, Database management, Machine learning, Application software, Computers, Special purpose

    Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Database Administration & Management, COMPUTERS / Hardware / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Engineering (General)

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  12. 12

    The role of artificial intelligence in Latin American ruminant production systems.

    Autoren: Vargas-Bello-Pérez, Einar Espinoza-Sandoval, Oscar R Ronquillo, Manuel Gonzalez et al.

    Quelle: Animal Frontiers. Dec2024, Vol. 14 Issue 6, p23-32. 10p.

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  13. 13

    Comparative Performance Analysis of YOLOv10-Based Models with CBAM and SPPFCSPC for Body Condition Score Assessment in Beef Cattle.

    Autoren: Ariadi, F. Utaminingrum, F. Atmoko, B. A.

    Quelle: Tropical Animal Science Journal. Sep2025, Vol. 48 Issue 5, p402-411. 10p.

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  14. 14

    Advancing Dairy Cattle Farming: Integrating Herd Management, Automation and Artificial Intelligence for Elevated Productivity and Sustainable Practices.

    Alternate Title: Süt Sığırcılığında İlerleme: Sürü Yönetimi, Otomasyon ve Yapay Zekâ Entegrasyonu ile Artan Verimlilik ve Sürdürülebilir Uygulamalar.

    Autoren: YILMAZ, Kübra Benan1 kubrabenanyilmazz@hotmail.com

    Quelle: Bozok Veterinary Sciences. Jun2024, Vol. 5 Issue 1, p23-30. 8p.

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  15. 15

    Approach to creating an intelligent system for free-range livestock farming.

    Autoren: MALINOVA, RADKA MALINOV, PENCHO VALCHEV, EVGENI et al.

    Quelle: Czech Journal of Animal Science. 2024, Vol. 69 Issue 10, p389-399. 11p.

    Schlagworte: Artificial intelligence, Animal science, Life cycles (Biology), Cyber physical systems, Information & communication technologies

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  16. 16

    Implementation of Child Healthcare System by Using Machine Learning Techniques.

    Autoren: Mahant, Mahesh Ashok Vidyullatha, P.

    Quelle: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p723-732. 10p.

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  17. 17

    Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization

    Autoren: Di Lorenzo, Paolo Merluzzi, Mattia Binucci, Francesco et al.

    Weitere Verfasser: Di Lorenzo, Paolo Merluzzi, Mattia Binucci, Francesco et al.

    Quelle: IEEE Internet of Things Magazine. 6:26-32

    Schlagwörter: Signal Processing (eess.SP), Measurement, Sensors, [SPI] Engineering Sciences [physics], Internet of Things, Wireless communication, Federated learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Wireless communication, Goal-oriented Communications, Resource Management, Edge Machine Learning, Federated Learning, Sensors, Internet of Things, System analysis and optimization, goal-oriented communications, edge AI, system optimization, Adaptive systems, System analysis and design, [SCCO.COMP] Cognitive science/Computer science, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

    Dateibeschreibung: application/pdf

    Zugangs-URL: http://arxiv.org/abs/2310.13948
    https://ieeexplore.ieee.org/abstract/document/10364354
    https://doi.org/10.1109/iotm.001.2300163
    https://hdl.handle.net/11391/1569616

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  18. 18

    Guest Editors’ Introduction: Machine Intelligence at the Edge

    Autoren: Benini L. Chen D. Xiong J. et al.

    Quelle: IEEE Design & Test. 38:5-6

    Schlagwörter: Special issues and sections,Training data, Cloud computing, Computational modeling, Speech recognition, Machine learning, Edge computing

    Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6221038/9499233/09499316.pdf
    https://experts.illinois.edu/en/publications/guest-editors-introduction-machine-intelligence-at-the-edge
    https://dblp.uni-trier.de/db/journals/dt/dt38.html#BeniniCXZ21

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  19. 19

    Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications

    Autoren: Parikshit, N. Mahalle Gitanjali, R. Shinde Prachi, M. Joshi

    Resource Type: eBook.

    Schlagworte: Big data, Cloud computing, Artificial intelligence--Industrial applications, Internet of things--Industrial applications

    Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Internet of Things (IoT)

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  20. 20

    GeoAI and its Role in Planetary Health: Navigating the Path to Global Sustainability

    Autoren: ABHIJEET SARKAR

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