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Likely matches
- Intelligent Robotics and Industrial Applications using Computer Vision (IRIACV)
also: Intelligent Robots and Computer Vision: Algorithms and Techniques - International Conference on Computer Vision/Computer Graphics Collaboration Techniques (MIRAGE)
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Publication search results
found 455 matches
- 2024
- Andrea Fusiello:
Computer Vision: Three-dimensional Reconstruction Techniques. Springer 2024, ISBN 978-3-031-34506-7, pp. 1-338 - Irfan Ahmed, Mohammed Alkahtani, Qazi Salman Khalid, Fahad M. Alqahtani:
Improved Commodity Supply Chain Performance Through AI and Computer Vision Techniques. IEEE Access 12: 24116-24132 (2024) - Jalal Uddin Md Akbar, Syafiq Fauzi Kamarulzaman, Abu Jafar Md Muzahid, Md. Arafatur Rahman, Mueen Uddin:
A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture. IEEE Access 12: 4485-4522 (2024) - Sowmya B. J., Meeradevi, S. Seema, Dayananda P., S. Supreeth, G. Shruthi, S. Rohith:
A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques. Int. J. Interact. Mob. Technol. 18(1): 59-74 (2024) - Fangming Qu, Nolan Dang, Borko Furht, Mehrdad Nojoumian:
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques. J. Big Data 11(1): 32 (2024) - Kuosheng Jiang, Zhongwen Hu, Xinglong Qi, Xiaozhu Wang, Songmei Wu:
Quantitative Measurement of Lay Length of Metallic Wire Ropes Using Computer Vision and Image Phase Correlation Techniques. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - Manan Popat, Divyan Goyal, Vibhum Raj, Nirmal Jayabalan, Chittaranjan Hota:
Eye Movement Tracking for Computer Vision Syndrome using Deep Learning Techniques. ICAIIC 2024: 317-322 - 2023
- Yaesop Lee:
Design Techniques for Embedded Computer Vision and Signal Processing. University of Maryland, College Park, MD, USA, 2023 - Safaa El Morabit:
New Artificial Intelligence techniques for Computer vision based medical diagnosis. (Nouvelles techniques de l'intelligence artificielle pour le diagnostic médical basé sur la vision par ordinateur). Polytechnic University of Hauts-de-France, 2023 - Goran Paulin, Marina Ivasic-Kos:
Review and analysis of synthetic dataset generation methods and techniques for application in computer vision. Artif. Intell. Rev. 56(9): 9221-9265 (2023) - Judhistira Aria Utama, Alif Rizza Zuhudi, Yudi Prasetyo, Abdul Rachman, A. R. Sugeng Riadi, Nandi, Lala Septem Riza:
Young lunar crescent detection based on video data with computer vision techniques. Astron. Comput. 44: 100731 (2023) - Shaojin Ma, Yongyu Li, Yankun Peng:
Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review. Comput. Electron. Agric. 206: 107695 (2023) - Baden Parr, Mathew Legg, Fakhrul Alam:
Grape yield estimation with a smartphone's colour and depth cameras using machine learning and computer vision techniques. Comput. Electron. Agric. 213: 108174 (2023) - Willian Pulido Beneducci, Marcelo Lucchesi Teixeira, Hélio Pedrini:
Dental shade matching assisted by computer vision techniques. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1378-1396 (2023) - J. A. García-Pulido, Gonzalo Pajares, Sebastián Dormido:
UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques. Cogn. Comput. 15(2): 392-412 (2023) - Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, Johan Willem Frederik Slik:
Corrigendum to "Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review" [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641]. Ecol. Informatics 76: 102134 (2023) - Kaya Kuru, Stuart Clough, Darren Ansell, John McCarthy, Stephanie McGovern:
WILDetect: An intelligent platform to perform airborne wildlife census automatically in the marine ecosystem using an ensemble of learning techniques and computer vision. Expert Syst. Appl. 231: 120574 (2023) - Yang Wang:
Advances Techniques in Computer Vision and Multimedia. Future Internet 15(9): 294 (2023) - Rajdeep Chatterjee, Rohit Halder, Tanmoy Maitra, Santosh Kumar Pani:
A computer vision-based perceived attention monitoring technique for smart teaching. Multim. Tools Appl. 82(8): 11523-11547 (2023) - Hemant B. Mahajan, Nilesh J. Uke, Priya Pise, Makarand Shahade, Vandana G. Dixit, Swapna Bhavsar, Sarita D. Deshpande:
Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT). Multim. Tools Appl. 82(15): 23251-23276 (2023) - Ritesh Maurya, Arti Srivastava, Ashutosh Srivastava, Vinay Kumar Pathak, Malay Kishore Dutta:
Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique. Multim. Tools Appl. 82(13): 20517-20536 (2023) - Maged Helmy, Tuyen Trung Truong, Eric Jul, Paulo Ferreira:
Deep learning and computer vision techniques for microcirculation analysis: A review. Patterns 4(1): 100641 (2023) - Manoj A. Patil, Manohar Manur:
Sensitive crop leaf disease prediction based on computer vision techniques with handcrafted features. Int. J. Syst. Assur. Eng. Manag. 14(6): 2235-2266 (2023) - Yang Xu:
Analyzing Spectator Emotions and Behaviors at Live Sporting Events using Computer Vision and Sentiment Analysis Techniques. Scalable Comput. Pract. Exp. 24(3): 475-486 (2023) - Longfei Zhou, Lin Zhang, Nicholas Konz:
Computer Vision Techniques in Manufacturing. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 105-117 (2023) - Dongwei Liu, Yuxiao Jiang, Ruoyu Wang, Yi Lu:
Establishing a citywide street tree inventory with street view images and computer vision techniques. Comput. Environ. Urban Syst. 100: 101924 (2023) - Qianru Lyu, Wenli Chen, Junzhu Su, Kok Hui John Gerard Heng, Shuai Liu:
How Peers Communicate Without Words-An Exploratory Study of Hand Movements in Collaborative Learning Using Computer-Vision-Based Body Recognition Techniques. AIED 2023: 316-326 - Ade Clinton Sitepu, Chuan-Ming Liu:
Efficient Computer Vision Inference using Modular Neural Network Techniques. APWCS 2023: 1-2 - Christopher G. Harris, Ignatius P. Andika, Y. Andi Trisyono:
Comparing Six Computer Vision Techniques for Rice Pest Recognition in the Field. CiSt 2023: 160-165 - Chuan-Wei Syu, Shao-Yu Chang, Chi-Cheng Chang:
Comparing Handwriting Fluency in English Language Teaching Using Computer Vision Techniques. ICITL 2023: 50-56
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