Suchergebnisse - "Computer vision algorithm"
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1
Autoren: et al.
Quelle: The International Journal of Advanced Manufacturing Technology. 140:3983-4001
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2
Autoren: et al.
Quelle: Acta Horticulturae. :243-250
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3
Autoren: Andriy MALYAR
Quelle: PRZEGLĄD ELEKTROTECHNICZNY. 1:196-202
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4
Autoren:
Quelle: Seismic Instruments. 61:132-139
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Autoren: et al.
Quelle: 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). :1-5
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Autoren:
Quelle: Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering. :90-95
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7
Autoren: et al.
Quelle: Procedia Computer Science. 261:504-511
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Autoren: et al.
Quelle: 2024 IEEE Conference on Pervasive and Intelligent Computing (PICom). :125-130
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9
Quelle: International Journal for Housing Science and Its Applications. 46
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10
Autoren: et al.
Quelle: Journal of Exposure Science & Environmental Epidemiology.
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Autoren:
Quelle: 2024 International Conference on Artificial Intelligence, Metaverse and Cybersecurity (ICAMAC). :1-6
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12
Autoren: Zixuan Yang
Quelle: 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). :953-958
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13
Autoren: et al.
Quelle: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :1-6
Schlagwörter: Deep Learning, Suture Techniques, Humans, Clinical Competence, Hand, Algorithms
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40039188
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14
Autoren: et al.
Quelle: Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Vol 77, Iss 5 (2025)
Schlagwörter: artificial intelligence, Canela-Preta chicken, Convolutional neural network, template matching, YOLO, Animal culture, SF1-1100
Dateibeschreibung: electronic resource
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15
Autoren: Herun Zhong
Quelle: 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). :60-63
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Autoren:
Quelle: 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA). :1-5
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Quelle: Discover Electronics, Vol 2, Iss 1, Pp 1-27 (2025)
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18
Autoren:
Quelle: SID Symposium Digest of Technical Papers. 55:517-520
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Autoren: Wang Yi
Quelle: 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT). :1052-1057
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20
Autoren: et al.
Quelle: Transactions in GIS. 29
Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
Zugangs-URL: http://arxiv.org/abs/2403.18038
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