Katalog der Deutschen Nationalbibliothek

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100001 - 100010 von 114938

	100001	Multi-target detection for safety monitoring in complex substation environments using YOLO-DySE Enthalten in Signal, image and video processing Bd. 19, 26.6.2025, Nr. 10, date:10.2025: 1-13
	100002	Multi-target detection method for driving area of mine driverless rail locomotives based on lightweight network Enthalten in Signal, image and video processing Bd. 19, 10.2.2025, Nr. 4, date:4.2025: 1-10
	100003	Multi-target joint tracking and classification based on joint decision and estimation Enthalten in Signal, image and video processing Bd. 18, 19.7.2024, Nr. 10, date:9.2024: 6891-6901
	100004	Multi-target Knowledge Distillation via Student Self-reflection Enthalten in International journal of computer vision Bd. 131, 25.4.2023, Nr. 7, date:7.2023: 1857-1874
	100005	Multi-target Tracking in Multiple Non-overlapping Cameras Using Fast-Constrained Dominant Sets Enthalten in International journal of computer vision Bd. 127, 13.5.2019, Nr. 9, date:9.2019: 1303-1320
	100006	Multi-Target Tracking of Human Spermatozoa in Phase-Contrast Microscopy Image Sequences using a Hybrid Dynamic Bayesian Network Enthalten in Scientific reports Bd. 8, 22.3.2018, Nr. 1, date:12.2018: 1-19
	100007	Multi-target vital signs detection using frequency-modulated continuous wave radar Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2021, 24.10.2021, Nr. 1, date:12.2021: 1-19
	100008	Multi-task aided face recognition network with convolution kernel spatial collaboration Enthalten in Signal, image and video processing Bd. 18, 8.2.2024, Nr. 4, date:6.2024: 3361-3372
	100009	Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images Enthalten in Visual computing for industry, biomedicine, and art Bd. 7, 26.1.2024, Nr. 1, date:12.2024: 1-15
	100010	Multi-task Compositional Network for Visual Relationship Detection Enthalten in International journal of computer vision Bd. 128, 30.7.2020, Nr. 8-9, date:9.2020: 2146-2165