Artykuły w czasopismach na temat „YOLO ALGORITHMS”
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Wan, Chengjuan, Yuxuan Pang i Shanzhen Lan. "Overview of YOLO Object Detection Algorithm". International Journal of Computing and Information Technology 2, nr 1 (25.08.2022): 11. http://dx.doi.org/10.56028/ijcit.1.2.11.
Pełny tekst źródłaKadhum, Aseil Nadhum, i Aseel Nadhum Kadhum. "Literature Survey on YOLO Models for Face Recognition in Covid-19 Pandemic". June-July 2023, nr 34 (29.07.2023): 27–35. http://dx.doi.org/10.55529/jipirs.34.27.35.
Pełny tekst źródłaZhou, Xuan, Jianping Yi, Guokun Xie, Yajuan Jia, Genqi Xu i Min Sun. "Human Detection Algorithm Based on Improved YOLO v4". Information Technology and Control 51, nr 3 (23.09.2022): 485–98. http://dx.doi.org/10.5755/j01.itc.51.3.30540.
Pełny tekst źródłaLiu, Tao, Bo Pang, Lei Zhang, Wei Yang i Xiaoqiang Sun. "Sea Surface Object Detection Algorithm Based on YOLO v4 Fused with Reverse Depthwise Separable Convolution (RDSC) for USV". Journal of Marine Science and Engineering 9, nr 7 (7.07.2021): 753. http://dx.doi.org/10.3390/jmse9070753.
Pełny tekst źródłaChen, Xin, Peng Shi i Yi Hu. "A Precise Semantic Segmentation Model for Seabed Sediment Detection Using YOLO-C". Journal of Marine Science and Engineering 11, nr 7 (24.07.2023): 1475. http://dx.doi.org/10.3390/jmse11071475.
Pełny tekst źródłaCong, Xiaohan, Shixin Li, Fankai Chen, Chen Liu i Yue Meng. "A Review of YOLO Object Detection Algorithms based on Deep Learning". Frontiers in Computing and Intelligent Systems 4, nr 2 (25.06.2023): 17–20. http://dx.doi.org/10.54097/fcis.v4i2.9730.
Pełny tekst źródłaKarmakar, Malay. "Face Recognition Technique using YOLO V5 Algorithm". International Research Journal of Computer Science 10, nr 03 (31.03.2023): 04–12. http://dx.doi.org/10.26562/irjcs.2023.v1002.01.
Pełny tekst źródłaGao, Ruizhen, Shuai Zhang, Haoqian Wang, Jingjun Zhang, Hui Li i Zhongqi Zhang. "The Aeroplane and Undercarriage Detection Based on Attention Mechanism and Multi-Scale Features Processing". Mobile Information Systems 2022 (19.09.2022): 1–12. http://dx.doi.org/10.1155/2022/2582288.
Pełny tekst źródłaLiu, Jiayi, Xingfei Zhu, Xingyu Zhou, Shanhua Qian i Jinghu Yu. "Defect Detection for Metal Base of TO-Can Packaged Laser Diode Based on Improved YOLO Algorithm". Electronics 11, nr 10 (13.05.2022): 1561. http://dx.doi.org/10.3390/electronics11101561.
Pełny tekst źródłaLi, Zhuang, Jianhui Yuan, Guixiang Li, Hao Wang, Xingcan Li, Dan Li i Xinhua Wang. "RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO". Sensors 23, nr 14 (14.07.2023): 6414. http://dx.doi.org/10.3390/s23146414.
Pełny tekst źródłaWu, Wentong, Han Liu, Lingling Li, Yilin Long, Xiaodong Wang, Zhuohua Wang, Jinglun Li i Yi Chang. "Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image". PLOS ONE 16, nr 10 (29.10.2021): e0259283. http://dx.doi.org/10.1371/journal.pone.0259283.
Pełny tekst źródłaWei, Jian, Qinzhao Wang i Zixu Zhao. "YOLO-G: Improved YOLO for cross-domain object detection". PLOS ONE 18, nr 9 (11.09.2023): e0291241. http://dx.doi.org/10.1371/journal.pone.0291241.
Pełny tekst źródłaLi, Yanyi, Jian Wang, Jin Huang i Yuping Li. "Research on Deep Learning Automatic Vehicle Recognition Algorithm Based on RES-YOLO Model". Sensors 22, nr 10 (16.05.2022): 3783. http://dx.doi.org/10.3390/s22103783.
Pełny tekst źródłaYang, Zhonglai. "Intelligent Recognition of Traffic Signs Based on Improved YOLO v3 Algorithm". Mobile Information Systems 2022 (20.09.2022): 1–11. http://dx.doi.org/10.1155/2022/7877032.
Pełny tekst źródłaHe, Guowen, Wenlong Wang, Bowen Shi, Shijie Liu, Hui Xiang i Xiaoyuan Wang. "An Improved YOLO v4 Algorithm-based Object Detection Method for Maritime Vessels". International Journal of Science and Engineering Applications 11, nr 04 (kwiecień 2022): 50–55. http://dx.doi.org/10.7753/ijsea1104.1001.
Pełny tekst źródłaHu, Xiao, Shenfu Pan, Dongdong Li, Long Feng i Yuan Zhao. "An airborne object detection and location system based on deep inference". Journal of Physics: Conference Series 2632, nr 1 (1.11.2023): 012019. http://dx.doi.org/10.1088/1742-6596/2632/1/012019.
Pełny tekst źródłaAsif, Muhammad, Tabarka Rajab, Samreen Hussain, Munaf Rashid, Sarwar Wasi, Areeb Ahmed i Kehkashan Kanwal. "Performance Evaluation of Deep Learning Algorithm Using High-End Media Processing Board in Real-Time Environment". Journal of Sensors 2022 (7.12.2022): 1–13. http://dx.doi.org/10.1155/2022/6335118.
Pełny tekst źródłaDewi, Christine, i Henoch Juli Christanto. "Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection". Big Data and Cognitive Computing 6, nr 3 (9.08.2022): 85. http://dx.doi.org/10.3390/bdcc6030085.
Pełny tekst źródłaGuo, Hao, i Jiahua Yang. "An improved object detection algorithm based on YOLO*". Journal of Physics: Conference Series 2216, nr 1 (1.03.2022): 012070. http://dx.doi.org/10.1088/1742-6596/2216/1/012070.
Pełny tekst źródłaNori, Ruba R., Rabah N. Farhan i Safaa Hussein Abed. "Indoor and Outdoor Fire Localization Using YOLO Algorithm". Journal of Physics: Conference Series 2114, nr 1 (1.12.2021): 012067. http://dx.doi.org/10.1088/1742-6596/2114/1/012067.
Pełny tekst źródłaTing-Na Liu, Ting-Na Liu, Zhong-Jie Zhu Ting-Na Liu, Yong-Qiang Bai Zhong-Jie Zhu, Guang-Long Liao Yong-Qiang Bai i Yin-Xue Chen Guang-Long Liao. "YOLO-Based Efficient Vehicle Object Detection". 電腦學刊 33, nr 4 (sierpień 2022): 069–79. http://dx.doi.org/10.53106/199115992022083304006.
Pełny tekst źródłaMou, Chao, Tengfei Liu, Chengcheng Zhu i Xiaohui Cui. "WAID: A Large-Scale Dataset for Wildlife Detection with Drones". Applied Sciences 13, nr 18 (17.09.2023): 10397. http://dx.doi.org/10.3390/app131810397.
Pełny tekst źródłaLiu, Yu, Tong Zhou, Jingye Xu, Yu Hong, Qianhui Pu i Xuguang Wen. "Rotating Target Detection Method of Concrete Bridge Crack Based on YOLO v5". Applied Sciences 13, nr 20 (10.10.2023): 11118. http://dx.doi.org/10.3390/app132011118.
Pełny tekst źródłaXu, Danqing, i Yiquan Wu. "MRFF-YOLO: A Multi-Receptive Fields Fusion Network for Remote Sensing Target Detection". Remote Sensing 12, nr 19 (23.09.2020): 3118. http://dx.doi.org/10.3390/rs12193118.
Pełny tekst źródłaZhao, Jing. "A Real-Time Detection Algorithm of Flame Target Image". Computational Intelligence and Neuroscience 2022 (11.10.2022): 1–8. http://dx.doi.org/10.1155/2022/5277805.
Pełny tekst źródłaKadhum, Aseil Nahum, i Aseel Nahum Kadhum. "Comparison Between the Yolov4 and Yolov5 Models in Detecting Faces while Wearing a Mask". International Academic Journal of Science and Engineering 11, nr 1 (6.01.2024): 01–08. http://dx.doi.org/10.9756/iajse/v11i1/iajse1101.
Pełny tekst źródłaAbhyankar, Vaishnavi, i Rashmi Kene. "Generation of RBC, WBC Subtype, and Platelet Count Report Using YOLO". International Journal for Research in Applied Science and Engineering Technology 11, nr 4 (30.04.2023): 1623–30. http://dx.doi.org/10.22214/ijraset.2023.50459.
Pełny tekst źródłaZhang, Meiyan, Dongyang Zhao, Cailiang Sheng, Ziqiang Liu i Wenyu Cai. "Long-Strip Target Detection and Tracking with Autonomous Surface Vehicle". Journal of Marine Science and Engineering 11, nr 1 (5.01.2023): 106. http://dx.doi.org/10.3390/jmse11010106.
Pełny tekst źródłaChen, Wen, Chengwei Ju, Yanzhou Li, Shanshan Hu i Xi Qiao. "Sugarcane Stem Node Recognition in Field by Deep Learning Combining Data Expansion". Applied Sciences 11, nr 18 (17.09.2021): 8663. http://dx.doi.org/10.3390/app11188663.
Pełny tekst źródłaPark, Jungsu, Jiwon Baek, Jongrack Kim, Kwangtae You i Keugtae Kim. "Deep Learning-Based Algal Detection Model Development Considering Field Application". Water 14, nr 8 (14.04.2022): 1275. http://dx.doi.org/10.3390/w14081275.
Pełny tekst źródłaWu, Yonglin, Dongxu Gao, Yinfeng Fang, Xue Xu, Hongwei Gao i Zhaojie Ju. "SDE-YOLO: A Novel Method for Blood Cell Detection". Biomimetics 8, nr 5 (1.09.2023): 404. http://dx.doi.org/10.3390/biomimetics8050404.
Pełny tekst źródłaS, Mohanapriya, Mohana Saranya S, Kumaravel T i Sumithra P. "Image Detection and Segmentation using YOLO v5 for surveillance". Applied and Computational Engineering 8, nr 1 (1.08.2023): 160–65. http://dx.doi.org/10.54254/2755-2721/8/20230109.
Pełny tekst źródłaChen, Wei, Jingfeng Zhang, Biyu Guo, Qingyu Wei i Zhiyu Zhu. "An Apple Detection Method Based on Des-YOLO v4 Algorithm for Harvesting Robots in Complex Environment". Mathematical Problems in Engineering 2021 (21.10.2021): 1–12. http://dx.doi.org/10.1155/2021/7351470.
Pełny tekst źródłaXu, Wenliang, Wei Wang, Jianhua Ren, Chaozhi Cai i Yingfang Xue. "A Novel Object Detection Method of Pointer Meter Based on Improved YOLOv4-Tiny". Applied Sciences 13, nr 6 (16.03.2023): 3822. http://dx.doi.org/10.3390/app13063822.
Pełny tekst źródłaZhang, Ying, Xuyang Hou i Xuhang Hou. "Combining Self-Supervised Learning and Yolo v4 Network for Construction Vehicle Detection". Mobile Information Systems 2022 (20.09.2022): 1–10. http://dx.doi.org/10.1155/2022/9056415.
Pełny tekst źródłaLi, Chao, Rui Xu, Yong Lv, Yonghui Zhao i Weipeng Jing. "Edge Real-Time Object Detection and DPU-Based Hardware Implementation for Optical Remote Sensing Images". Remote Sensing 15, nr 16 (10.08.2023): 3975. http://dx.doi.org/10.3390/rs15163975.
Pełny tekst źródłaJang, Goeun, Wooseong Yeo, Meeyoung Park i Yong-Gyun Park. "RT-CLAD: Artificial Intelligence-Based Real-Time Chironomid Larva Detection in Drinking Water Treatment Plants". Sensors 24, nr 1 (28.12.2023): 177. http://dx.doi.org/10.3390/s24010177.
Pełny tekst źródłaRahma, Lusiana, Hadi Syaputra, A. Haidar Mirza i Susan Dian Purnamasari. "Objek Deteksi Makanan Khas Palembang Menggunakan Algoritma YOLO (You Only Look Once)". Jurnal Nasional Ilmu Komputer 2, nr 3 (20.11.2021): 213–32. http://dx.doi.org/10.47747/jurnalnik.v2i3.534.
Pełny tekst źródłaAdibhatla, Venkat Anil, Huan-Chuang Chih, Chi-Chang Hsu, Joseph Cheng, Maysam F. Abbod i Jiann-Shing Shieh. "Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks". Electronics 9, nr 9 (22.09.2020): 1547. http://dx.doi.org/10.3390/electronics9091547.
Pełny tekst źródłaChen, Henghuai, i Jiansheng Guan. "Teacher–Student Behavior Recognition in Classroom Teaching Based on Improved YOLO-v4 and Internet of Things Technology". Electronics 11, nr 23 (2.12.2022): 3998. http://dx.doi.org/10.3390/electronics11233998.
Pełny tekst źródłaKong, Yueping, i Zhiyuan Shen. "Microorganism Detection in Activated Sludge Microscopic Images Using Improved YOLO". Applied Sciences 13, nr 22 (16.11.2023): 12406. http://dx.doi.org/10.3390/app132212406.
Pełny tekst źródłaWu, Xuemei, i Wenhua Li. "Algorithm Improvements based on the Attention Mechanism of yolo-v5". Frontiers in Science and Engineering 2, nr 6 (22.06.2022): 8–12. http://dx.doi.org/10.54691/fse.v2i6.965.
Pełny tekst źródłaPagare, Shreyas, i Rakesh Kumar. "Object Detection Algorithms Compression CNN, YOLO and SSD". International Journal of Computer Applications 185, nr 7 (18.05.2023): 34–38. http://dx.doi.org/10.5120/ijca2023922726.
Pełny tekst źródłaNiu, Chengwen, Yunsheng Song i Xinyue Zhao. "SE-Lightweight YOLO: Higher Accuracy in YOLO Detection for Vehicle Inspection". Applied Sciences 13, nr 24 (7.12.2023): 13052. http://dx.doi.org/10.3390/app132413052.
Pełny tekst źródłaLi, Jinrui, Libin Chen, Jian Shen, Xiongwu Xiao, Xiaosong Liu, Xin Sun, Xiao Wang i Deren Li. "Improved Neural Network with Spatial Pyramid Pooling and Online Datasets Preprocessing for Underwater Target Detection Based on Side Scan Sonar Imagery". Remote Sensing 15, nr 2 (11.01.2023): 440. http://dx.doi.org/10.3390/rs15020440.
Pełny tekst źródłaMajumder, Mishuk, i Chester Wilmot. "Automated Vehicle Counting from Pre-Recorded Video Using You Only Look Once (YOLO) Object Detection Model". Journal of Imaging 9, nr 7 (27.06.2023): 131. http://dx.doi.org/10.3390/jimaging9070131.
Pełny tekst źródłaOruganti, Rakesh, i Namratha P. "Cascading Deep Learning Approach for Identifying Facial Expression YOLO Method". ECS Transactions 107, nr 1 (24.04.2022): 16649–58. http://dx.doi.org/10.1149/10701.16649ecst.
Pełny tekst źródłaLiu, Yuqing, Huiyong Chu, Liming Song, Zhonglin Zhang, Xing Wei, Ming Chen i Jieran Shen. "An Improved Tuna-YOLO Model Based on YOLO v3 for Real-Time Tuna Detection Considering Lightweight Deployment". Journal of Marine Science and Engineering 11, nr 3 (2.03.2023): 542. http://dx.doi.org/10.3390/jmse11030542.
Pełny tekst źródłaPatel, Krishna, Chintan Bhatt i Pier Luigi Mazzeo. "Deep Learning-Based Automatic Detection of Ships: An Experimental Study Using Satellite Images". Journal of Imaging 8, nr 7 (28.06.2022): 182. http://dx.doi.org/10.3390/jimaging8070182.
Pełny tekst źródłaChen, Yuntao, Bin Wu, guangzhi Luo, xiaoyan Chen i junlin Liu. "Multi-target tracking algorithm based on YOLO+DeepSORT". Journal of Physics: Conference Series 2414, nr 1 (1.12.2022): 012018. http://dx.doi.org/10.1088/1742-6596/2414/1/012018.
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