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Academic Articles & Research Papers
Showing 10 of 70 academic articles
Athanasios S. Voulodimos, Nikolaos D. Doulamis, Anastasios D. Doulamis, Eftychios E. Protopapadakis • Computational Intelligence and Neuroscience
(2018)
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief ...
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DOI: https://doi.org/10.1155/2018/7068349
PMC: 5816885
Lei Zhou, Chu Zhang, Fei Liu, Zhengjun Qiu et al. • Comprehensive Reviews in Food Science and Food Safety
(2019)
Deep learning has been proved to be an advanced technology for big data analysis with a large number of successful cases in image processing, speech recognition, object detection, and so on. Recently, it has also been introduced in food sci...
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DOI: https://doi.org/10.1111/1541-4337.12492
Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu, Xindong Wu • IEEE Transactions on Neural Networks and Learning Systems
(2019)
Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable...
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Open Access
DOI: https://doi.org/10.1109/tnnls.2018.2876865
Esraa Khatab, Ahmed Onsy, Ahmed Abouelfarag • Sensors
(2022)
One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection, which comes ahead of object tracking, trajectory estimation, and collision avoidance. Vulnerable road objects (e.g., pedestrians, cyclists, etc.) pose a g...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22041663
Zhiqiang Gong, Ping Zhong, Weidong Hu • IEEE Access
(2019)
Machine learning methods have achieved good performance and been widely applied in various real-world applications. They can learn the model adaptively and be better fit for special requirements of different tasks. Generally, a good machine...
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Open Access
DOI: https://doi.org/10.1109/access.2019.2917620
Fanny Monori, Alin Tisan • Sensors
(2026)
Odour recognition with low-cost gas sensors is challenging in open-air settings due to the non-specificity of the sensors and environmental variability. This can be mitigated by incorporating additional information into the classification p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s26082493
Qi Cao, Jianwen Tao, Yufang Dan, Di Zhou • Scientific Reports
(2026)
Abstract Unsupervised domain adaptive object detection (UDA-OD) aims to deploy a detector trained on source domain(s) to a new, unlabeled target domain. Carrying out mean-teacher self-training for UDA-OD poses a significant challenge, given...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-44991-7
Yasir Afaq, Ankush Manocha • Applied Artificial Intelligence
(2021)
Waterbody identification from satellite images in an automated manner is one of the difficult tasks in the domain of Remote Sensing (RS). In recent years, several image processing approaches have been developed to process RGB or multispectr...
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Open Access (DOAJ)
DOI: 10.1080/08839514.2021.1982533
Uttam U. Deshpande, Supriya Shanbhag, Ramesh Koti, Ameet Chate et al. • Frontiers in Computer Science
(2025)
Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...
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Open Access (DOAJ)
DOI: 10.3389/fcomp.2025.1535775
Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access
(2025)
Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3648259