A Review of Yolo Algorithm Developments

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803

YOLOv4: Optimal Speed and Accuracy of Object Detection

Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020) · arXiv · doi:10.48550/arxiv.2004.10934 · Cited by 10,307

Object Detection With Deep Learning: A Review

Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2876865 · Cited by 5,545

Apple detection during different growth stages in orchards using the improved YOLO-V3 model

Tian, Y., Yang, G., Wang, Z., Wang, H., Li, E., & Liang, Z. (2019) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2019.01.012 · Cited by 1,043

A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

Laroca, R., Severo, E. B., Junior, L. A. Z., Oliveira, L. S., Gonçalves, G. R., Schwartz, W. R., & Menotti, D. (2018) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2018.8489629 · Cited by 670

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

Huang, R., Pedoeem, J., & Chen, C. (2018) · 2018 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata.2018.8621865 · Cited by 622

A Review of Object Detection Models Based on Convolutional Neural Network

Sultana, F., Sufian, A., & Dutta, P. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-4288-6_1 · Cited by 327

A review of object detection based on convolutional neural network

Wang, Z., & Liu, J. (2017) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2017.8029130 · Cited by 268

A YOLO-Based Traffic Counting System

Lin, J., & Sun, M.-T. (2018) · Conference on Technologies and Applications of Artificial Intelligence (TAAI) · doi:10.1109/taai.2018.00027 · Cited by 116

A Vehicle Detection Method for Aerial Image Based on YOLO

Lu, J., Ma, C., Li, L., Xing, X., Zhang, Y., Wang, Z., & Xu, J. (2018) · Journal of Computer and Communications · doi:10.4236/jcc.2018.611009 · Cited by 101

Impact of Image Data Splitting on the Performance of Automotive Perception Systems

Babu, M. A. A., Pandey, S. K., Durisic, D., Koppisetty, A. C., & Staron, M. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-56281-5_6 · Cited by 6

An improved deep learning network for image detection and its application in Dendrobii caulis decoction piece

Chang, Y., Zhou, D., Tang, Y., Ou, S., & Wang, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-63398-w · Cited by 8

Vision-Based Empty Shelf Detection in Retail with Real-Time Telegram Notifications for Efficient Restocking

Pawar, S., Jadhav, D. B., Godse, D., Jadhav, R. S., & Thakur, S. (2024) · International Journal of Electronics and Communication Engineering · doi:10.14445/23488549/ijece-v11i7p118 · Cited by 5

Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review

Patakvölgyi, V., Kovács, L., & Drexler, D. A. (2024) · IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) · doi:10.1109/saci60582.2024.10619063 · Cited by 5

YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

Cao, H., Zhang, G., Zhao, A., Wang, Q., Zou, X., & Wang, H. (2024) · Agronomy · doi:10.3390/agronomy14091924 · Cited by 5

A Dynamic Assurance Framework for an Autonomous Survey Drone

Ryan, P., Shahbeigi, S., Zou, J., Stefanakos, I., & Molloy, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-68606-1_18 · Cited by 5

New Approach Generative AI Melanoma Data Fusion for Classification in Dermoscopic Images with Large Language Model

Marques, A. G., de Figueiredo, M. V. C., Nascimento, J. J. D. C., de Souza, C. T., Dourado, C. M. J. D. M., de Albuquerque, V. H. C., & Souza, L. F. D. F. (2024) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi62404.2024.10716298 · Cited by 5

RFA-YOLOv8: Steel Plate Surface Defect Detection Algorithm Based On Improved YOLOv8

Bai, J., & Zhang, S. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2872/1/012025 · Cited by 5

LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion

Qu, Y., Yu, S., & Yang, J. (2024) · IEEE Access · doi:10.1109/access.2024.3501379 · Cited by 5

A Comprehensive Review of Image Segmentation Architectures

Mohan, C., Arundhati, G. M., Laurette, R. C., Sabu, A., Panachakel, J. T., & Anusha, S. P. (2024) · Proceeding of the Electrical Engineering Computer Science and Informatics · doi:10.1109/eecsi63442.2024.10776322 · Cited by 5

Foul Detection for Table Tennis Serves Using Deep Learning

Yang, G. L., Nguyen, M., Yan, W., & Li, X. J. (2024) · Electronics · doi:10.3390/electronics14010027 · Cited by 5

Lightweight visible damage detection algorithm for embedded systems applied to pipeline automation equipment

Xiao, J., Xu, L., Li, C., Tang, L. Y., & Gao, G. (2025) · Journal of Pipeline Science and Engineering · doi:10.1016/j.jpse.2025.100254 · Cited by 5

CIFE-YOLOv8: A Dense Pedestrian Detection Model Based on Improved YOLOv8

Wang, N., Huang, S., & Liu, X. (2024) · International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE) · doi:10.1109/cbase64041.2024.10824419 · Cited by 5

Commissioning an All-Sky Infrared Camera Array for Detection of Airborne Objects

Domine, L., Biswas, A., Cloete, R., Delacroix, A., Fedorenko, A., Jacaruso, L., Kelderman, E., Keto, E., Little, S., Loeb, A., et al. (2025) · Sensors · doi:10.3390/s25030783 · Cited by 5

Improved lightweight road damage detection based on YOLOv5

Liu, C., Sun, Y., Chen, J., Yang, H. J., & Wang, F. (2025) · Optoelectronics Letters · doi:10.1007/s11801-025-4125-6 · Cited by 5

Efficient Multitask Asynchronous Federated Learning in Edge Computing: A Two-Layer Optimization Approach

Jiang, H. L., Cao, X., Ouyang, T., Lin, M., Zhao, K., Zhang, X., & Chen, X. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3587913 · Cited by 5

Beyond obstacles: feather-light YOLO11-LES for real-time ripeness detection of occluded strawberries in greenhouses

Li, Z., Hu, X., Zhao, X., Ye, H., Chen, F., Chen, X., & Li, X. (2025) · Journal of Real-Time Image Processing · doi:10.1007/s11554-025-01748-1 · Cited by 8

ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy

Sumit, S. S., Rambli, D. R. A., Mirjalili, S., Miah, M. S. U., & Ejaz, M. M. (2022) · MethodsX · doi:10.1016/j.mex.2022.101936 · Cited by 7

A Novel Gripper Prototype for Helical Bird Diverter Manipulation

Cacace, J., Giampetraglia, L., Ruggiero, F., & Lippiello, V. (2023) · Drones · doi:10.3390/drones7010060 · Cited by 5

THE APPLICATION OF DRONE-ASSISTED DEEP LEARNING TECHNOLOGY IN RIVERBANK GARBAGE DETECTION

Pan, S., Yoshida, K., BONEY, A. S., & Nishiyama, S. (2022) · Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) · doi:10.2208/jscejhe.78.2_i_133 · Cited by 5

Accessing topological feature of polycrystalline microstructure using object detection technique

Venkatanarayanan, M., & Amos, P. G. K. (2023) · Materialia · doi:10.1016/j.mtla.2023.101697 · Cited by 5

Exploring Deep Learning for Detection of Poultry Activities — Towards an Autonomous Health and Welfare Monitoring in Poultry Farms

Evangelista, I. R. S., Catajay, L. T., Bandala, A. A., Concepcion, R., Sybingco, E., & Dadios, E. P. (2023) · International Conference on Ubiquitous Information Management and Communication (IMCOM) · doi:10.1109/imcom56909.2023.10035656 · Cited by 5

License plate recognition in slow motion vehicles

Aljelawy, Q. M., & Salman, T. M. (2023) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v12i4.4990 · Cited by 5

Identifying the maturity level of coconuts using deep learning algorithms

Mandava, R. K., Mittal, H., & Hemalatha, N. (2023) · Materials Today Proceedings · doi:10.1016/j.matpr.2023.09.071 · Cited by 5

Real-Time Vehicle Passenger Detection Through Deep Learning

Gu, Y., & Sinnott, R. (2023) · IEEE International Conference on eScience · doi:10.1109/e-science58273.2023.10254927 · Cited by 6

Surface defect detection of steel based on improved YOLOv5 algorithm

Jiang, Y. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2023879 · Cited by 5

Review on Application of Deep Neural Networks and Parallel Architectures for Rock Fragmentation Problems

Ronkin, M., Akimova, E. N., Misilov, V. E., & Reshetnikov, K. (2023) · Bulletin of the South Ural State University Series Computational Mathematics and Software Engineering · doi:10.14529/cmse230401 · Cited by 6

YOLOv5 and U-Net-based Character Detection for Nusantara Script

Prasetiadi, A., Saputra, J. H., Kresna, I., & Ramadhanti, I. (2023) · Jurnal Online Informatika · doi:10.15575/join.v8i2.1180 · Cited by 11

Poultry Disease Detection in Chicken Fecal Images Through Annotated Polymerase Chain Reaction Dataset Using YOLOv7 And Soft-Nms Algorithm

Wati, D. F., & Roestam, R. (2023) · International Conference on Informatics and Computing (ICIC) · doi:10.1109/icic60109.2023.10382034 · Cited by 5

Dental Disease Detection based on CNN for Panoramic Dental Radiographs

Bagoury, M. E., Al-Shetairy, M., Ahmed, O., Mehanny, S., Hamdy, T., Omar, G., Akram, M., Mohamed, R., Amr, H. A. B., & Gad, W. K. (2023) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis58388.2023.10391205 · Cited by 5

Accuracy Improvement of Automatic Smoky Diesel Vehicle Detection Using YOLO Model, Matching, and Refinement

Shiao, Y., Huynh, T.-L., & Hu, J. R. (2024) · Sensors · doi:10.3390/s24030771 · Cited by 5

Visual Servo Kinematic Control of Delta Robot using YOLOv5 Algorithm

Yamtuan, K., Radomngam, T., & Prempraneerach, P. (2023) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v4i6.19102 · Cited by 5

Combining YOLO and Visual Rhythm for Vehicle Counting

Ribeiro, V. N., & Hirata, N. S. T. (2023) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.5753/sibgrapi.est.2023.27473 · Cited by 5

Deep Neural Network Based Performance Evaluation and Comparative Analysis of Human Detection in Crowded Images Using YOLO Models

Heda, L. M., & Sahare, P. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-9518-9_37 · Cited by 5

Enhancing Underwater Fauna Monitoring: A Comparative Study on YOLOv4 and YOLOv8 for Real-Time Fish Detection and Tracking

Garg, R., & Phadke, A. C. (2024) · Algorithms for intelligent systems · doi:10.1007/978-981-97-0327-2_4 · Cited by 5

Real-time RSET prediction across three types of geometries and simulation training dataset: A comparative study of machine learning models

Uhlík, O., Okřinová, P., Tokarevskikh, A., Apeltauer, T., & Apeltauer, J. (2024) · Developments in the Built Environment · doi:10.1016/j.dibe.2024.100461 · Cited by 5

A visual foreign object detection system for wireless charging of electric vehicles

Nejad, B. S., Roch, P., Handte, M., & Marrón, P. J. (2024) · Machine Vision and Applications · doi:10.1007/s00138-024-01553-z · Cited by 5

Object surface roughness/texture recognition using machine vision enables for human-machine haptic interaction

Lin, Z., Zheng, H., Lu, Y., Zhang, J., Chai, G., & Zuo, G. (2024) · Frontiers in Computer Science · doi:10.3389/fcomp.2024.1401560 · Cited by 5

Automated Email and SMS Notification System for Unauthorized Entry using Yolov9

Dhanuka, E., & Dhavakumar, P. (2024) · doi:10.1109/iccsp60870.2024.10544306 · Cited by 5

YOLO Adaptive Developments in Complex Natural Environments for Tiny Object Detection

Zhong, J., Cheng, Q., Hu, X., & liu, Z. H. (2024) · Electronics · doi:10.3390/electronics13132525 · Cited by 7

Tanks detection and recognition based on custom dataset model

Lytvyn, V., Oleksiv, N., & Nazarkevych, M. (2024) · IEEE International Conference on Smart Information Systems and Technologies (SIST) · doi:10.1109/sist61555.2024.10629455 · Cited by 5

Volleyball game tactical data prediction system using computer vision technology

Xie, J., & Cheng, X. (2024) · International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII) · doi:10.1109/icmiii62623.2024.00116 · Cited by 5

Identification of varieties of wheat seeds based on multispectral imaging combined with improved YOLOv5

Liu, W., Liu, Y., Hong, F., Li, J., Jiang, Q., Kong, L., Liu, C., & Zheng, L. (2024) · Food Physics · doi:10.1016/j.foodp.2024.100042 · Cited by 5

An enhanced network model for PCB defect detection: CDS-YOLO

Shao, M., Min, L., Liu, M., Li, X., Li, X., & Li, X. (2024) · Journal of Real-Time Image Processing · doi:10.1007/s11554-024-01580-z · Cited by 5

An Aerial Transport System in Marine GNSS‐Denied Environment

Sun, J., Niu, Z., Dong, Y., Zhang, F., Din, M. U., Seneviratne, L. D., Lin, D., Hussain, I., & He, S. (2025) · Journal of Field Robotics · doi:10.1002/rob.22520 · Cited by 5

NetraAadhaar: A Deep Learning-Driven Aadhaar Verification Platform for the Aid of Visually Impaired

Patil, A., Khan, T., & Mollah, A. F. (2025) · IEEE Access · doi:10.1109/access.2025.3563786 · Cited by 5

Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks

Ballena-Ruiz, J., Arcila-Diaz, J., & Monteza, V. A. T. (2025) · AgriEngineering · doi:10.3390/agriengineering7050152 · Cited by 5

Computer Vision-Based Inspection System for Worker Training in Build and Construction Industry

Ercan, M. F., & Wang, R. B. (2022) · Computers · doi:10.3390/computers11060100 · Cited by 5

A Low-Resolution Used Electronic Parts Image Dataset for Sorting Application

Chand, P. (2023) · Data · doi:10.3390/data8010020 · Cited by 6

Investigation of a convolutional neural network-based approach for license plate detection

Cao, Y. (2023) · Journal of Optics · doi:10.1007/s12596-023-01243-5 · Cited by 5

Smart Standalone Edge IoT Device for Traffic Volume Counting in Smart Cities

Philip, A. O., Jacob, A., Tejus, K., S, A. K., Ashok, A., & Divya, K. B. (2023) · International Conference on Edge Computing and Applications (ICECAA) · doi:10.1109/icecaa58104.2023.10212184 · Cited by 5

Optimized Design of EdgeBoard Intelligent Vehicle Based on PP-YOLOE+

Yao, C., Liu, X., Wang, J., & Cheng, Y. (2024) · Sensors · doi:10.3390/s24103180 · Cited by 5

Research on YOLOv8 Object Detection Algorithm in UAV ScenariosPreprint

Li, S., Chen, F., Sun, Z., Zhu, Z., Zhou, L., & Tang, K. (2024) · Research Square · doi:10.21203/rs.3.rs-3995816/v1 · Cited by 5

Incremental YOLOv5 for Federated Learning in Cotton Pest and Disease Detection with Blockchain ShardingPreprint

Nie, J., Li, H., Li, Y., Li, J., & Chao, S. (2024) · Research Square · doi:10.21203/rs.3.rs-4857274/v1 · Cited by 5

A machine learning-based algorithm for automated detection of frequency-based events in recorded time series of sensor data

Medghalchi, B., & Vogel, A. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108536 · Cited by 4

TSdetector: Temporal–Spatial self-correction collaborative learning for colonoscopy video detection

Wang, K., Wang, H., Zhou, G., Wang, Y., Yang, L., Chen, Y., & Li, S. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103384 · Cited by 4

Dataset and Benchmark for Fine-Grained Ship Recognition in Complex Optical Remote Sensing Scenarios

Wang, J., Hu, J., Zhi, X., Shi, T., & Cui, Q. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3569569 · Cited by 4

The application of ultrasound artificial intelligence in the diagnosis of endometrial diseases: Current practice and future development

Wei, Q., Zhang, X., Liang, X., Guo, Z., Zhang, Y., & Chen, Z. (2025) · Digital Health · doi:10.1177/20552076241310060 · Cited by 4

CSEANet: Cross-Stage Enhanced Aggregation Network for Detecting Surface Bolt Defects in Railway Steel Truss Bridges

Chen, Y., Sun, Y., Qin, Z., Wang, Z., & Geng, Y. (2025) · Sensors · doi:10.3390/s25113500 · Cited by 5

Studying the performance of YOLOv11 incorporating DHSA BRA and PPA modules in railway track fasteners defect detection

Zhang, C., Zhu, J., Ma, Y., & Huang, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-13435-z · Cited by 4

Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study

Mejía, N. A. R., Rey, S. D. L. C., Cervantes‐Sánchez, C. R., Figueroa, C. E. C., & Ramírez-Alonso, G. M. D. J. (2025) · Surgical Endoscopy · doi:10.1007/s00464-025-12067-8 · Cited by 4

Semi-Automatic BVI Human-Centered Image Conversational Descriptions: Leveraging LLMs and Expert Refinements for Inclusive Visual Accessibility

Salous, M., Lange, D., von Reeken, T., Wolters, M. K., Heuten, W., Boll, S., & Abdenebaoui, L. (2025) · IEEE Access · doi:10.1109/access.2025.3605490 · Cited by 4

Detection of external root resorption in periapical radiographs using YOLO-based deep learning model

GÖKDENİZ, S. T., Büyüksungur, A., Kolsuz, M. E., Bayrakdar, İ. Ş., & Orhan, K. (2025) · Dentomaxillofacial Radiology · doi:10.1093/dmfr/twaf072 · Cited by 4

Vision-Based Reinforcement Learning for Robotic Grasping of Moving Objects on a Conveyor

Cao, Y., Xu, X., & Zhang, Y. (2025) · Machines · doi:10.3390/machines13100973 · Cited by 4

PPTP: Performance-Guided Physiological Signal-Based Trust Prediction in Sequential Human-Robot Collaboration

Guo, H. Y., Wei, B., Fan, W., Liu, S., Jiang, F., & Yi, C. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3629986 · Cited by 6

PACMAN: Rapid identification of keypoint patch-based fiducial marker in occluded environments

Park, T., Bae, G., Shin, W., Mammadov, M., Seo, J., Shin, H., & Oh, H. (2025) · Image and Vision Computing · doi:10.1016/j.imavis.2025.105821 · Cited by 4

EdgeFormer-YOLO: A Lightweight Multi-Attention Framework for Real-Time Red-Fruit Detection in Complex Orchard Environments

Xu, Z., Luo, T., Lai, Y., Liu, Y., & Kang, W. (2025) · Mathematics · doi:10.3390/math13233790 · Cited by 3

Excavator identification method based on computer vision technology in nighttime scenes

Hua, T., Lang, B., Sun, J., Lin, G., Wang, J., Daping, L., Zhao, Q., & Wang, X. (2025) · Engineering Construction & Architectural Management · doi:10.1108/ecam-02-2025-0176 · Cited by 4

DMSA-Net: Dual-Domain Multiscale Attentive Network for Robust SAR Ship Detection

Liu, Y., Ji, X., Wei, H., Qiu, B., Liu, Y., Sui, X., & Chen, Q. (2025) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2025.3612933 · Cited by 4

Generative Approach for Detecting Small Intrusive Foreign Objects in High-Speed Railway Scenario

Hao, Q., Shi, R., Li, J., & Zhang, L. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3625181 · Cited by 5

Study on Lightweight Algorithm for Multi-Scale Target Detection of Personnel and Equipment in Open Pit Mine

Zhao, E., Qiu, C., & Zhang, C. (2025) · Applied Sciences · doi:10.3390/app16010354 · Cited by 4

High-throughput Verticillium wilt detection in cotton: A comparative study of faster R-CNN and YOLOv11

Patel, M. K., Bull, G., Egan, L. M., Swain, N., Rolland, V., Stiller, W. N., & Conaty, W. C. (2026) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2025.104379 · Cited by 4

YOLOv11n-DualPC-Lite: a lightweight, high-precision real-time detection model for maize leaf diseases

Zhou, P., Wang, Q., Zhan, M., Zhu, B., Yi, K., Jiang, C., & Wang, J. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2026.1797083 · Cited by 4

KYA: Vision–Language Assistant for Emotional Reactions to Risky Driving

Choi, H., Lee, E. H., & Tu, Z. (2026) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981261451199 · Cited by 4

Printed Circuit Board Defect Detection Based on Improved YOLOv5

Yang, T., Liu, Y., Jin, C., Jiang, K., Duan, Q., Song, C., Chen, Q., Li, X., Ge, J., & Li, R. (2023) · International Conference on Information and Computer Technologies (ICICT) · doi:10.1109/icict58900.2023.00019 · Cited by 4

Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration

Xiong, F., Wang, J., Zhang, G., Shi, X., Zheng, H., & Hu, J. (2024) · Advances in Civil Engineering · doi:10.1155/2024/3599911 · Cited by 4

Thermal radiation image recognition camera using target detection techniques with human computer interaction

Tan, J., & He, J. (2024) · Journal of Radiation Research and Applied Sciences · doi:10.1016/j.jrras.2024.100952 · Cited by 4

A Survey of Deep Learning Techniques and Applications in Bioengineering: A Latin American Perspective

Comas, D. S., Meschino, G. J., Amalfitano, A., Iturriaga, J. I., & Ballarin, V. L. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-61960-1_57 · Cited by 4

Multi-perspective feature collaborative perception learning network for non-destructive detection of pavement defects

Liang, J., Li, G., & Liu, Z. (2024) · Digital Signal Processing · doi:10.1016/j.dsp.2024.104661 · Cited by 4

Honeysuckle flower stage identification based on improved YOLOv5s

Liu, Y., Wang, G., Sun, W., Yang, S., Feng, B., Jia, S., & Wu, C. (2024) · Agronomy Journal · doi:10.1002/agj2.21651 · Cited by 4

Defect monitoring system of the internal structures of a sodium fast reactor using an artificial intelligence model

Byun, H., Lee, H. G., Kim, B. K., Song, G. D., & Lee, B. (2024) · Nuclear Engineering and Technology · doi:10.1016/j.net.2024.07.049 · Cited by 4

Recognition algorithm for laboratory protective equipment based on improved YOLOv7

Luo, H., Liu, W., Xu, P., Zhang, L., & Li, L. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e36264 · Cited by 6

Identifying black holes through space telescopes and deep learning

Fang, Y., Hong, W., & Tao, J. (2024) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.110.063011 · Cited by 4

Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods

Yourdkhani, R., Tavoosian, A., Khomami, N. A., & Masouleh, M. T. (2024) · doi:10.1109/icee63041.2024.10667703 · Cited by 4

Beyond 5G Satellite Transmission and Indoor UAVs in Dams Monitoring: An Opportunistic Data Collection Strategy for Isolated Rural Areas

Jesús-Azabal, M., García-Alonso, J. M., & Galán–Jiménez, J. (2024) · IT Professional · doi:10.1109/mitp.2024.3433399 · Cited by 4

SC-DiatomNet: An Efficient and Accurate Algorithm for Diatom Classification

Li, J., Jiang, C., Yao, L., & Zhang, S. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12101862 · Cited by 4

Mobility Support with Intelligent Obstacle Detection for Enhanced Safety

Han, J. H., Yoon, I., Kim, H. S., Jeong, Y., Maeng, J. H., Park, J., & Jeon, H. (2024) · Optics · doi:10.3390/opt5040032 · Cited by 4

Open Access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot

Bono, A., Brameld, K., D’Alfonso, L., & Fedele, G. (2024) · IEEE RO-MAN · doi:10.1109/ro-man60168.2024.10731252 · Cited by 4

Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation

Chen, L., Ji, P., Ma, Y., Rong, Y. K., & Ren, J. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102911 · Cited by 5

LEM-Detector: An Efficient Detector for Photovoltaic Panel Defect Detection

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