Výsledky vyhledávání - "Deep Learning object detection algorithm"

Hybrid Deep Learning Object Detection Algorithm for Autonomous Vehicles with Hybrid Optimization Technique

Autoři: Joseph Rish Simenthy Pallavi Singh

Zdroj: 2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). :648-653

Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm

Autoři: Rima Prasad Jitendra Musale Dewendra Bharambe a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031882166

A Survey of Deep Learning Object Detection Algorithm

Autoři: Junmei Guo Haitong Lou Haonan Chen a další

Zdroj: 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). :872-877

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Nanomesh‐YOLO: Intelligent Colorimetry E‐Skin Based on Nanomesh and Deep Learning Object Detection Algorithm

Autoři: Hongyu Chen Siye Xu Haidong Liu a další

Zdroj: Advanced Functional Materials. 34

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Automatic detection of trapping events of postnatal piglets in loose housing pen: comparison of YOLO versions 4, 5, and 8

Autoři: Taeyong Yun Jinsul Kim Jinhyeon Yun a další

Zdroj: J Anim Sci Technol
Journal of Animal Science and Technology, Vol 67, Iss 3, Pp 666-676 (2025)

Témata: You Only Look Once (YOLO), Artificial intelligence of things (AIoT), Trapping, Piglet crushing, Deep learning object-detection algorithm, SF1-1100, Animal culture, Research Article

Přístupová URL adresa: https://doaj.org/article/f007a03f0f4142caa31496cbd274bfbf

Nanomesh‐YOLO: Intelligent Colorimetry E‐Skin Based on Nanomesh and Deep Learning Object Detection Algorithm.

Autoři: Chen, Hongyu Xu, Siye Liu, Haidong a další

Zdroj: Advanced Functional Materials; Feb2024, Vol. 34 Issue 8, p1-9, 9p

Témata: OBJECT recognition (Computer vision), COLORIMETRY, DEEP learning, ALGORITHMS, FINITE element method, DATABASES, MICROFLUIDICS, ARTIFICIAL skin

基于特征融合的深度学习目标检测算法研究. (Chinese)

Alternate Title: A Research on Deep Learning Object Detection Algorithm Based on Feature Fusion. (English)

Autoři: 黄剑航 王振友

Zdroj: Journal of Guangdong University of Technology; Jul2021, Vol. 38 Issue 4, p52-58, 7p

Témata: CONVOLUTIONAL neural networks, PYRAMIDS, ALGORITHMS

Comparison of YOLO-based sorghum spike identification detection models and monitoring at the flowering stage.

Autoři: Zhang, Song Yang, Yehua Tu, Lei a další

Zdroj: Plant Methods; 2/17/2025, Vol. 21 Issue 1, p1-17, 17p

Témata: OBJECT recognition (Computer vision), DETECTION algorithms, DEEP learning, SORGHUM, WEATHER

A Hardware Accelerator for Real-Time Processing Platforms Used in Synthetic Aperture Radar Target Detection Tasks.

Autoři: Zhang, Yue Tang, Yunshan Cao, Yue a další

Zdroj: Micromachines; Feb2025, Vol. 16 Issue 2, p193, 13p

Témata: SYNTHETIC aperture radar, OBJECT recognition (Computer vision), DETECTION algorithms, CONVOLUTIONAL neural networks, DEEP learning

Recognition of parasitic helminth eggs via a deep learning-based platform.

Autoři: He, Wei Zhu, Huiyin Geng, Junjie a další

Zdroj: Frontiers in Microbiology; 2024, p1-7, 7p

Témata: CLONORCHIS sinensis, OBJECT recognition (Computer vision), DETECTION algorithms, SCHISTOSOMA japonicum, ARTIFICIAL intelligence, HELMINTHS

Dynamic simultaneous localization and mapping based on object tracking in occluded environment.

Autoři: Ding, Weili Pei, Ziqi Yang, Tao a další

Zdroj: Robotica; Jul2024, Vol. 42 Issue 7, p2209-2225, 17p

Témata: OBJECT recognition (Computer vision), RUNNING speed, KALMAN filtering, GEOMETRIC approach, DEEP learning

Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings.

Autoři: Parcerisas, Clea Schall, Elena te Velde, Kees a další

Zdroj: Frontiers in Remote Sensing; 2024, p1-18, 18p

Témata: UNDERWATER acoustics, OBJECT recognition (Computer vision), MACHINE learning, UNDERWATER exploration, ACTIVE learning, COMPUTER vision

Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution.

Autoři: Khan, Malhar Raza, Muhammad Amir Abbas, Ghulam a další

Zdroj: Frontiers in Built Environment; 2024, p1-1, 17p

Témata: DEEP learning, OBJECT recognition (Computer vision), AUTONOMOUS vehicles, DRIVERLESS cars, DATA augmentation, IMAGE recognition (Computer vision)

City-scale industrial tank detection using multi-source spatial data fusion.

Autoři: Wang, Zhibao Zhu, Mingyuan Bai, Lu a další

Zdroj: International Journal of Digital Earth; Jan2024, Vol. 17 Issue 1, p1-32, 32p

Development of a flexible endoscopic robot with autonomous tracking control ability using machine vision and deep learning.

Autoři: Qian, Sen Zhang, Jianxi Pei, Zongkun a další

Zdroj: Mechanical Sciences; 2024, Vol. 15 Issue 1, p223-236, 14p

Témata: OBJECT recognition (Computer vision), COMPUTER vision, SURGICAL instruments, AUTONOMOUS robots, ENDOSCOPIC surgery, DEEP learning

Cycle Performance of Aerated Lightweight Concrete Windowed and Windowless Wall Panel from the Perspective of Lightweight Deep Learning.

Autoři: Yuan, Xing Zhang, Yao Lu, Qinggang a další

Zdroj: Computational Intelligence & Neuroscience; 6/3/2022, p1-14, 14p

Témata: DEEP learning, WALL panels, CURTAIN walls, OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, MACHINE learning, LIGHTWEIGHT concrete, AIR-entrained concrete

Telecommunication Fiber Box Detection Using YOLO in Urban Environment.

Autoři: Azmawi, Azib-Jazman Mohd-Isa, Wan-Noorshahida Rahman, Abdul Aziz Abdul

Zdroj: International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 6, p2136-2144, 9p

Témata: DEEP learning, OBJECT recognition (Computer vision), MACHINE learning, TELECOMMUNICATION, COMPUTER vision, INTERNET access

Detection of Power Poles in Orchards Based on Improved Yolov5s Model.

Autoři: Zhang, Yali Lu, Xiaoyang Li, Wanjian a další

Zdroj: Agronomy; Jul2023, Vol. 13 Issue 7, p1705, 14p

Témata: DEEP learning, OBJECT recognition (Computer vision), AGRICULTURAL technology, ORCHARDS, DRONE aircraft, DATA augmentation, POLISH people

WT-YOLOM: An Improved Target Detection Model Based on YOLOv4 for Endogenous Impurity in Walnuts.

Autoři: Wang, Dongdong Dai, Dan Zheng, Jian a další

Zdroj: Agronomy; Jun2023, Vol. 13 Issue 6, p1462, 19p

Témata: OBJECT recognition (Computer vision), WALNUT, FOREIGN bodies, FEATURE extraction, DEEP learning, QUALITY control, PHOTOELECTRICITY

Application of YOLOv5 for Point Label Based Object Detection of Black Pine Trees with Vitality Losses in UAV Data.

Autoři: Hofinger, Peter Klemmt, Hans-Joachim Ecke, Simon a další

Zdroj: Remote Sensing; Apr2023, Vol. 15 Issue 8, p1964, 13p

Témata: OBJECT recognition (Computer vision), AUSTRIAN pine, MACHINE learning, TREE diseases & pests, FOREST health