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Publication search results
found 254 matches
- 2024
- Aysha Naseer, Hamdan A. Alzahrani, Nouf Abdullah Almujally, Khaled Abdulrahman Alnowaiser, Naif Al Mudawi, Asaad Algarni, Jeongmin Park:
Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach. IEEE Access 12: 37165-37178 (2024) - Upendra Kumar:
A Noval Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features. Int. J. Inf. Retr. Res. 14: 1-31 (2024) - Ismael M. Abdulkareem, Faris K. Al-Shammri, Noor Aldeen A. Khalid, Natiq A. Omran:
Proposed Approach for Object Detection and Recognition by Deep Learning Models Using Data Augmentation. Int. J. Online Biomed. Eng. 20(5): 31-43 (2024) - Frincy Clement, Kirtan Shah, Dhara Pancholi, Gabriel Lugo Bustillo, Irene Cheng:
Textureless Object Recognition: An Edge-based Approach. CoRR abs/2403.06107 (2024) - 2023
- Qingchun Zheng, Zhi Peng, Peihao Zhu, Yangyang Zhao, Ran Zhai, Wenpeng Ma:
An Object Recognition Grasping Approach Using Proximal Policy Optimization With YOLOv5. IEEE Access 11: 87330-87343 (2023) - Waqas W. Ahmed, Mohamed Farhat, Pai-Yen Chen, Xiangliang Zhang, Ying Wu:
A Generative Deep Learning Approach for Shape Recognition of Arbitrary Objects from Phaseless Acoustic Scattering Data. Adv. Intell. Syst. 5(5) (2023) - Jonghwan Park, Younghoon Lee:
Oriented-tooth recognition using a five-axis object-detection approach. Appl. Intell. 53(9): 9846-9857 (2023) - Ioannis D. Apostolopoulos, Mpesiana Tzani:
Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach. J. Ambient Intell. Humaniz. Comput. 14(8): 10263-10276 (2023) - Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
Next Best View Planning in a Single Glance: An Approach to Improve Object Recognition. SN Comput. Sci. 4(1): 51 (2023) - Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti:
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition. J. Supercomput. 79(18): 20263-20288 (2023) - Tai-Yuan Huang, Ming-Chun Lee, Chia-Hsing Yang, Ta-Sung Lee:
YOLO-ORE: A Deep Learning-Aided Object Recognition Approach for Radar Systems. IEEE Trans. Veh. Technol. 72(5): 5715-5731 (2023) - Hui Qi, Shengsheng Li:
Research on Robotic Arm Recognition Grasping Method Based on Improved GGCNN Algorithm Network Architecture: An Enhanced Approach for Object Grasping by Robotic Arms Using GGCNN Algorithm Network Architecture. EITCE 2023: 1119-1124 - Duy Trong Nguyen, Ban Quy Tran, Anh Duy Tran, Dat Trong Than, Duc Quang Tran:
Object Detection Approach for Stock Chart Patterns Recognition in Financial Markets. ICSCA 2023: 150-158 - Anh Bao Nguyen Le, Chi Bao Nguyen, Quoc Cuong Dang, Be Hai Danh, Huynh Nhu Le, Huong Hoang Luong, Hai Thanh Nguyen:
An Approach for Object Recognition in Videos for Vocabulary Extraction. ICTCC 2023: 36-51 - Zarema Balgabekova, Muslim Alaran, Huseyin Atakan Varol:
A Data-Centric Approach for Object Recognition in Hemispherical Camera Images. IECON 2023: 1-6 - Boon-Giin Lee, Xiaoying Wang, Renzhi Han, Linjing Sun, Matthew Pike, Wan-Young Chung:
Deep Learning Approach for Enhanced Object Recognition and Assembly Guidance with Augmented Reality. IHCI (2) 2023: 105-114 - Junhyung Jo, Hamidreza Kasaei:
Fine-grained 3D object recognition: an approach and experiments. CoRR abs/2306.15919 (2023) - 2022
- Rajib Ghosh:
A Faster R-CNN and recurrent neural network based approach of gait recognition with and without carried objects. Expert Syst. Appl. 205: 117730 (2022) - Kaung Myat Naing, Siridech Boonsang, Santhad Chuwongin, Veerayuth Kittichai, Teerawat Tongloy, Samrerng Prommongkol, Paron Dekumyoy, Dorn Watthanakulpanich:
Automatic recognition of parasitic products in stool examination using object detection approach. PeerJ Comput. Sci. 8: e1065 (2022) - Shitala Prasad, Yiqun Li, Dongyun Lin, Sheng Dong, Ma Tin Lay Nwe:
A Progressive Multi-View Learning Approach for Multi-Loss Optimization in 3D Object Recognition. IEEE Signal Process. Lett. 29: 707-711 (2022) - Joanna Isabelle Olszewska:
Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition. ICAART (3) 2022: 996-1002 - Wentao Lu, Qingbin Sheh, Liangde Li, Claude Sammut:
Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach. RoboCup 2022: 3-13 - Mehmet Zahid Akpolat, Abdullah Bülbül:
A Global Approach for Goal-Driven Pruning of Object Recognition Networks. SIU 2022: 1-4 - Waqas W. Ahmed, Mohamed Farhat, Pai-Yen Chen, X. Zhang, Y. Wu:
A Generative deep learning approach for shape recognition of arbitrary objects from phaseless acoustic scattering data. CoRR abs/2207.05433 (2022) - 2021
- Pourya Hoseini:
A Single-Shot Next Best View Approach Accompanied by a Dual-View Active Vision for Object Recognition Tasks. University of Nevada, Reno, USA, 2021 - Vijayakumar Varadarajan, Dweepna Garg, Ketan Kotecha:
An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition Using a Multi-Scale Anchor Box in Real-Time. Future Internet 13(12): 307 (2021) - Chen Ning, Wenbo Liu, Gong Zhang, Xin Wang:
An Object Recognition Approach for Synthetic Aperture Radar Images. Mob. Networks Appl. 26(3): 1259-1266 (2021) - Anju Mishra, Shanu Sharma, Sanjay Kumar, Priya Ranjan, Amit Ujlayan:
Effect of hand grip actions on object recognition process: a machine learning-based approach for improved motor rehabilitation. Neural Comput. Appl. 33(7): 2339-2350 (2021) - Debasmit Das, C. S. George Lee:
A Constrained Generative Approach to Generalized Zero-shot Object Recognition. SMC 2021: 1849-1854 - 2020
- Chen Chen, Weixing Zhu, Maciej Oczak, Kristina Maschat, Johannes Baumgartner, Mona Lilian Vestbjerg Larsen, Tomas Norton:
A computer vision approach for recognition of the engagement of pigs with different enrichment objects. Comput. Electron. Agric. 175: 105580 (2020)
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