Artículos de revistas sobre el tema "Embedded Systems, Computer Vision, Object Classification"
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Medina, Adán, Juana Isabel Méndez, Pedro Ponce, Therese Peffer y Arturo Molina. "Embedded Real-Time Clothing Classifier Using One-Stage Methods for Saving Energy in Thermostats". Energies 15, n.º 17 (23 de agosto de 2022): 6117. http://dx.doi.org/10.3390/en15176117.
Texto completoSengan, Sudhakar, Ketan Kotecha, Indragandhi Vairavasundaram, Priya Velayutham, Vijayakumar Varadarajan, Logesh Ravi y Subramaniyaswamy Vairavasundaram. "Real-Time Automatic Investigation of Indian Roadway Animals by 3D Reconstruction Detection Using Deep Learning for R-3D-YOLOv3 Image Classification and Filtering". Electronics 10, n.º 24 (10 de diciembre de 2021): 3079. http://dx.doi.org/10.3390/electronics10243079.
Texto completoOsipov, Aleksey, Ekaterina Pleshakova, Sergey Gataullin, Sergey Korchagin, Mikhail Ivanov, Anton Finogeev y Vibhash Yadav. "Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions". Sustainability 14, n.º 4 (20 de febrero de 2022): 2420. http://dx.doi.org/10.3390/su14042420.
Texto completoZhang, Dong, Alok Desai y Dah-Jye Lee. "Using synthetic basis feature descriptor for motion estimation". International Journal of Advanced Robotic Systems 15, n.º 5 (1 de septiembre de 2018): 172988141880383. http://dx.doi.org/10.1177/1729881418803839.
Texto completoMohan, Navya y James Kurian. "Design and implementation of shape-based feature extraction engine for vision systems using Zynq SoC". International journal of electrical and computer engineering systems 13, n.º 2 (28 de febrero de 2022): 109–17. http://dx.doi.org/10.32985/ijeces.13.2.3.
Texto completoKalms, Lester, Pedram Amini Rad, Muhammad Ali, Arsany Iskander y Diana Göhringer. "A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs". Journal of Signal Processing Systems 93, n.º 5 (15 de marzo de 2021): 513–29. http://dx.doi.org/10.1007/s11265-021-01651-5.
Texto completoParise, Cesare V., Cesare V. Parise y Marc O. Ernst. "Multisensory mechanisms for perceptual disambiguation. A classification image study on the stream–bounce illusion". Multisensory Research 26 (2013): 96–97. http://dx.doi.org/10.1163/22134808-000s0068.
Texto completoLi, Junfeng, Dehai Zhang, Yu Ma y Qing Liu. "Lane Image Detection Based on Convolution Neural Network Multi-Task Learning". Electronics 10, n.º 19 (27 de septiembre de 2021): 2356. http://dx.doi.org/10.3390/electronics10192356.
Texto completoNayyar, Anand, Pijush Kanti Dutta Pramankit y Rajni Mohana. "Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions". Scalable Computing: Practice and Experience 21, n.º 3 (1 de agosto de 2020): 347–48. http://dx.doi.org/10.12694/scpe.v21i3.1568.
Texto completoKim, Iuliia, João Pedro Matos-Carvalho, Ilya Viksnin, Tiago Simas y Sérgio Duarte Correia. "Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement". Symmetry 14, n.º 6 (24 de mayo de 2022): 1080. http://dx.doi.org/10.3390/sym14061080.
Texto completoDRAPER, BRUCE A., ALLEN R. HANSON y EDWARD M. RISEMAN. "LEARNING BLACKBOARD-BASED SCHEDULING ALGORITHMS FOR COMPUTER VISION". International Journal of Pattern Recognition and Artificial Intelligence 07, n.º 02 (abril de 1993): 309–28. http://dx.doi.org/10.1142/s0218001493000169.
Texto completoHirabayashi, Manato, Yukihiro Saito, Kosuke Murakami, Akihito Ohsato, Shinpei Kato y Masato Edahiro. "Vision-Based Sensing Systems for Autonomous Driving: Centralized or Decentralized?" Journal of Robotics and Mechatronics 33, n.º 3 (20 de junio de 2021): 686–97. http://dx.doi.org/10.20965/jrm.2021.p0686.
Texto completoJasim, Mohammed Saaduldeen y Mohammed Chachan Younis. "Object-based Classification of Natural Scenes Using Machine Learning Methods". Technium: Romanian Journal of Applied Sciences and Technology 6 (8 de febrero de 2023): 1–22. http://dx.doi.org/10.47577/technium.v6i.8286.
Texto completoNiewiadomski, Artur y Kornel Domeradzki. "Object classification with artificial neural networks: A comparative analysis". Studia Informatica, n.º 23 (22 de diciembre de 2020): 43–56. http://dx.doi.org/10.34739/si.2019.23.03.
Texto completoGurwicz, Yaniv, Raanan Yehezkel y Boaz Lachover. "Multiclass object classification for real-time video surveillance systems". Pattern Recognition Letters 32, n.º 6 (abril de 2011): 805–15. http://dx.doi.org/10.1016/j.patrec.2011.01.005.
Texto completoKumar, Lalit y Dushyant Kumar Singh. "Hardware Response and Performance Analysis of Multicore Computing Systems for Deep Learning Algorithms". Cybernetics and Information Technologies 22, n.º 3 (1 de septiembre de 2022): 68–81. http://dx.doi.org/10.2478/cait-2022-0028.
Texto completoGhani, Arfan, Rawad Hodeify, Chan H. See, Simeon Keates, Dah-Jye Lee y Ahmed Bouridane. "Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA)". Electronics 11, n.º 24 (19 de diciembre de 2022): 4234. http://dx.doi.org/10.3390/electronics11244234.
Texto completoBaldoni, Matteo, Cristina Baroglio y Davide Cavagnino. "Use of IFS Codes for Learning 2D Isolated-Object Classification Systems". Computer Vision and Image Understanding 77, n.º 3 (marzo de 2000): 371–87. http://dx.doi.org/10.1006/cviu.1999.0823.
Texto completoOmkar, Dr SN, Nikhil Asogekar y Sudarshan Rathi. "DETECTION, TRACKING AND CLASSIFICATION OF ROGUE DRONES USING COMPUTER VISION". International Journal of Engineering Applied Sciences and Technology 7, n.º 3 (1 de julio de 2022): 11–19. http://dx.doi.org/10.33564/ijeast.2022.v07i03.003.
Texto completoIvanov, Y. S., S. V. Zhiganov y N. N. Liubushkina. "Comparative Analysis of Deep Neural Networks Architectures for Visual Recognition in the Autonomous Transport Systems". Journal of Physics: Conference Series 2096, n.º 1 (1 de noviembre de 2021): 012101. http://dx.doi.org/10.1088/1742-6596/2096/1/012101.
Texto completoRehman, Amjad, Tanzila Saba, Muhammad Zeeshan Khan, Robertas Damaševičius y Saeed Ali Bahaj. "Internet-of-Things-Based Suspicious Activity Recognition Using Multimodalities of Computer Vision for Smart City Security". Security and Communication Networks 2022 (5 de octubre de 2022): 1–12. http://dx.doi.org/10.1155/2022/8383461.
Texto completoGaonkar, Needhi U. "Road Traffic Analysis Using Computer Vision". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 2002–6. http://dx.doi.org/10.22214/ijraset.2021.37630.
Texto completoTeixeira, Eduardo, Beatriz Araujo, Victor Costa, Samuel Mafra y Felipe Figueiredo. "Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks". Sensors 22, n.º 18 (12 de septiembre de 2022): 6879. http://dx.doi.org/10.3390/s22186879.
Texto completoWu, Yirui, Zhouyu M. Meng, hivakumara Palaiahnakote y Tong Lu. "COMPRESSIVE SENSING BASED CONVOLUTIONAL NEURAL NETWORK FOR OBJECT DETECTION". Malaysian Journal of Computer Science 33, n.º 1 (31 de enero de 2020): 78–89. http://dx.doi.org/10.22452/mjcs.vol33no1.5.
Texto completoWang, Jinyeong y Sanghwan Lee. "Data Augmentation Methods Applying Grayscale Images for Convolutional Neural Networks in Machine Vision". Applied Sciences 11, n.º 15 (22 de julio de 2021): 6721. http://dx.doi.org/10.3390/app11156721.
Texto completoHasan, Mokhtar M., Noor A. Ibraheem y Noor M. Abdulhadi. "2D Geometric Object Shapes Detection and Classification". Webology 19, n.º 1 (20 de enero de 2022): 1689–702. http://dx.doi.org/10.14704/web/v19i1/web19113.
Texto completoZedan, Mohammad J. M., Ali I. Abduljabbar, Fahad Layth Malallah y Mustafa Ghanem Saeed. "Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition". Advances in Human-Computer Interaction 2020 (5 de diciembre de 2020): 1–10. http://dx.doi.org/10.1155/2020/8895176.
Texto completoC, Abhishek. "Development of Hexapod Robot with Computer Vision". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 1796–805. http://dx.doi.org/10.22214/ijraset.2021.37455.
Texto completoLiu, Yu y King Ngi Ngan. "Embedded wavelet packet object-based image coding based on context classification and quadtree ordering". Signal Processing: Image Communication 21, n.º 2 (febrero de 2006): 143–55. http://dx.doi.org/10.1016/j.image.2005.09.001.
Texto completoLopes, Jessica Fernandes, Leniza Ludwig, Douglas Fernandes Barbin, Maria Victória Eiras Grossmann y Sylvio Barbon. "Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble". Sensors 19, n.º 13 (4 de julio de 2019): 2953. http://dx.doi.org/10.3390/s19132953.
Texto completoRaiser, Stefan, Edwin Lughofer, Christian Eitzinger y James Edward Smith. "Impact of object extraction methods on classification performance in surface inspection systems". Machine Vision and Applications 21, n.º 5 (27 de agosto de 2009): 627–41. http://dx.doi.org/10.1007/s00138-009-0205-z.
Texto completoGururaj, Vaishnavi, Shriya Varada Ramesh, Sanjana Satheesh, Ashwini Kodipalli y Kusuma Thimmaraju. "Analysis of deep learning frameworks for object detection in motion". International Journal of Knowledge-based and Intelligent Engineering Systems 26, n.º 1 (8 de junio de 2022): 7–16. http://dx.doi.org/10.3233/kes-220002.
Texto completoMoroz, Mykola, Denys Berestov y Oleg Kurchenko. "Analysis of visual object tracking algorithms for real-time systems". Advanced Information Technology, n.º 1 (1) (2021): 59–65. http://dx.doi.org/10.17721/ait.2021.1.08.
Texto completoHassan, Adel y Muath Sabha. "Feature Extraction for Image Analysis and Detection using Machine Learning Techniques". International Journal of Advanced Networking and Applications 14, n.º 04 (2023): 5499–508. http://dx.doi.org/10.35444/ijana.2023.14401.
Texto completoSoudy, Mohamed, Yasmine M. Afify y Nagwa Badr. "GenericConv: A Generic Model for Image Scene Classification Using Few-Shot Learning". Information 13, n.º 7 (28 de junio de 2022): 315. http://dx.doi.org/10.3390/info13070315.
Texto completoGao, Hongbo, Bo Cheng, Jianqiang Wang, Keqiang Li, Jianhui Zhao y Deyi Li. "Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment". IEEE Transactions on Industrial Informatics 14, n.º 9 (septiembre de 2018): 4224–31. http://dx.doi.org/10.1109/tii.2018.2822828.
Texto completoMing, John y Bir Bhanu. "ORACLE: An Integrated Learning Approach for Object Recognition". International Journal of Pattern Recognition and Artificial Intelligence 11, n.º 06 (septiembre de 1997): 961–90. http://dx.doi.org/10.1142/s0218001497000445.
Texto completoLi, Guoming, Yanbo Huang, Zhiqian Chen, Gary D. Chesser, Joseph L. Purswell, John Linhoss y Yang Zhao. "Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review". Sensors 21, n.º 4 (21 de febrero de 2021): 1492. http://dx.doi.org/10.3390/s21041492.
Texto completoBarba-Guaman, Luis, José Eugenio Naranjo y Anthony Ortiz. "Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU". Electronics 9, n.º 4 (31 de marzo de 2020): 589. http://dx.doi.org/10.3390/electronics9040589.
Texto completoUrban, David y Alice Caplier. "Time- and Resource-Efficient Time-to-Collision Forecasting for Indoor Pedestrian Obstacles Avoidance". Journal of Imaging 7, n.º 4 (25 de marzo de 2021): 61. http://dx.doi.org/10.3390/jimaging7040061.
Texto completoAlzahrani, Ali y Md Al-Amin Bhuiyan. "Feature selection for urban land cover classification employing genetic algorithm". Bulletin of Electrical Engineering and Informatics 11, n.º 2 (1 de abril de 2022): 793–802. http://dx.doi.org/10.11591/eei.v11i2.3399.
Texto completoUpadhyay, Jatin, Abhishek Rawat, Dipankar Deb, Vlad Muresan y Mihaela-Ligia Unguresan. "An RSSI-Based Localization, Path Planning and Computer Vision-Based Decision Making Robotic System". Electronics 9, n.º 8 (17 de agosto de 2020): 1326. http://dx.doi.org/10.3390/electronics9081326.
Texto completoBasheer Ahmed, Mohammed Imran, Rim Zaghdoud, Mohammed Salih Ahmed, Razan Sendi, Sarah Alsharif, Jomana Alabdulkarim, Bashayr Adnan Albin Saad, Reema Alsabt, Atta Rahman y Gomathi Krishnasamy. "A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents". Big Data and Cognitive Computing 7, n.º 1 (28 de enero de 2023): 22. http://dx.doi.org/10.3390/bdcc7010022.
Texto completoFang, Hai-Feng, Jin Cao y Zhi-Yuan Li. "A Small Network MicronNet-BF of Traffic Sign Classification". Computational Intelligence and Neuroscience 2022 (18 de marzo de 2022): 1–10. http://dx.doi.org/10.1155/2022/3995209.
Texto completoSingh, Prince Kumar. "A Comprehensive Review on Advance Surveillance System". International Journal for Research in Applied Science and Engineering Technology 10, n.º 6 (30 de junio de 2022): 3975–79. http://dx.doi.org/10.22214/ijraset.2022.44825.
Texto completoMurthy, Chinthakindi Balaram, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde y Zong Woo Geem. "Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review". Applied Sciences 10, n.º 9 (8 de mayo de 2020): 3280. http://dx.doi.org/10.3390/app10093280.
Texto completoL .Vinagreiro, Michel Andre, Edson C. Kitani, Armando Antonio M. Lagana y Leopoldo R. Yoshioka. "An Acceleration Method based on Deep Learning and Multilinear Feature Space". International Journal of Artificial Intelligence & Applications 12, n.º 5 (30 de septiembre de 2021): 9–26. http://dx.doi.org/10.5121/ijaia.2021.12502.
Texto completoVanusha, D. y B. Amutha. "Classification of Diabetic Retinopathy using Capsules". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, n.º 06 (diciembre de 2021): 835–54. http://dx.doi.org/10.1142/s0218488521500379.
Texto completoYang, Judy X., Lily D. Li y Mohammad G. Rasul. "Warehouse Management Models Using Artificial Intelligence Technology with Application at Receiving Stage – A Review". International Journal of Machine Learning and Computing 11, n.º 3 (mayo de 2021): 242–49. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1042.
Texto completoBakhshande, Fateme, Daniel Adofo Ameyaw, Neelu Madan y Dirk Söffker. "New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems". Applied Sciences 12, n.º 7 (23 de marzo de 2022): 3251. http://dx.doi.org/10.3390/app12073251.
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