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Academic Articles & Research Papers
Showing 20 of 2,701 academic articles
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen et al. • arXiv (Cornell University)
(2011)
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1103.0398
Shahzeb Ansari, Haiping Du, Fazel Naghdy, Ayaz Ahmed Hoshu et al. • Safety
(2024)
Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological o...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/safety10010009
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
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Open Access (DOAJ)
Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma • IEEE Reviews in Biomedical Engineering
(2022)
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
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Open Access
DOI: https://doi.org/10.1109/rbme.2022.3210270
Kai Wang, Kunjian Wen, Yanping Chen, Yongbin Qin • Scientific Reports
(2025)
Abstract Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often cl...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-87722-0
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
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Open Access
DOI: https://doi.org/10.1145/3444689
Aditya Jain, Gandhar Kulkarni, Vraj Shah • International Journal of Computer Sciences and Engineering
(2018)
Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Na...
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DOI: https://doi.org/10.26438/ijcse/v6i1.161167
Shahab Eshghi, Fatemeh Nabati, Shaghayegh Shafaghi, Vahid Nooraeefar et al. • Scientific Reports
(2022)
Abstract Despite extensive research on the biomechanics of insect wings over the past years, direct mechanical measurements on sensitive wing specimens remain very challenging. This is especially true for examining delicate museum specimens...
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Open Access (DOAJ)
DOI: 10.1038/s41598-022-17859-9
Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences
(2025)
Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...
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Open Access (DOAJ)
DOI: 10.3390/app151910413
Haitam Ettazi, Najat Rafalia, Jaafar Abouchabaka • Proceedings on Engineering Sciences
(2023)
In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver ...
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Open Access (DOAJ)
DOI: 10.24874/PES05.03.017
Mandana Hamidi‐Haines, Zhongang Qi, Alan Fern, Fuxin Li et al. • Applied AI Letters
(2021)
Abstract We study a user‐guided approach for producing global explanations of deep networks for image recognition. The global explanations are produced with respect to a test data set and give the overall frequency of different “recognition...
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Open Access (DOAJ)
DOI: 10.1002/ail2.42
Tahiyah Nou‐Shene, Vikramkumar Pudi, K. Sridharan, Vineetha Thomas et al. • IET Computer Vision
(2015)
Autonomous vehicles engaged in terrain exploration are typically equipped with a camera. The camera is subjected to vibration as the vehicle moves so that the videos captured require stabilisation to facilitate accurate interpretation by re...
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Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2014.0120
Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access
(2024)
Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3429396
Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences
(2026)
Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...
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Open Access (DOAJ)
DOI: 10.3390/app162010012
Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports
(2025)
Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18886-y
Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology
(2023)
Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...
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Open Access
DOI: https://doi.org/10.22214/ijraset.2023.54701
Jiarui Bi, Zengliang Zhu, Qinglong Meng • International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
(2021)
Transformer is widely used in Natural Language Processing (NLP), in which numerous papers have been proposed. Recently, the transformer has been borrowed for many computer vision tasks. However, there are few papers to give a comprehensive ...
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DOI: https://doi.org/10.1109/cei52496.2021.9574462
Xinkai Xu, Hailan Zhang, Yan Ma, Kang Liu et al. • Remote Sensing
(2023)
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular metho...
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Open Access (DOAJ)
DOI: 10.3390/rs15143525
Yablokova Alena, Kovalev Igor, Kovalev Dmitry, Podoplelova Valeria et al. • E3S Web of Conferences
(2024)
The paper examines aspects of developing and formalizing the task of applying computer vision methods and algorithms using OpenCV (implemented in Python version 3.13 notation) for automatic detection and classification of objects in decisio...
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Open Access (DOAJ)
DOI: 10.1051/e3sconf/202454803023
Aamir Khan, Weidong Jin, Muqeet Ahmad, Rizwan Ali Naqvi et al. • Sensors
(2020)
Image-to-image conversion based on deep learning techniques is a topic of interest in the fields of robotics and computer vision. A series of typical tasks, such as applying semantic labels to building photos, edges to photos, and raining t...
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Open Access (DOAJ)
DOI: 10.3390/s20154161