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Showing 20 of 1,539 academic articles
Andrea Galassi, Marco Lippi, Paolo Torroni • IEEE Transactions on Neural Networks and Learning Systems
(2020)
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview o...
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DOI: https://doi.org/10.1109/tnnls.2020.3019893
Julia Hirschberg, Christopher D. Manning • Science
(2015)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...
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DOI: https://doi.org/10.1126/science.aaa8685
Jingmin An, Xiaogang Weng • BMC Bioinformatics
(2022)
Abstract Pre-trained natural language processing models on a large natural language corpus can naturally transfer learned knowledge to protein domains by fine-tuning specific in-domain tasks. However, few studies focused on enriching such p...
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Open Access (DOAJ)
DOI: 10.1186/s12859-022-05031-z
Gilles Corminboeuf • Discours
(2014)
The aim of this article is to identify the different syntactic modes existing in French to focus if-clauses in constructions such as {if-P, Q}, and {Q if-P}. It is not irrelevant to consider that if-clauses may occupy a focus position, seei...
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Open Access (DOAJ)
DOI: 10.4000/discours.8903
Sumaira Ghazal, Arslan Munir, Waqar Shahid Qureshi • Artificial Intelligence in Agriculture
(2024)
The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence (AI) technologies. Thi...
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DOI: https://doi.org/10.1016/j.aiia.2024.06.004
Paul J. Besl • Proceedings of the IEEE
(1988)
Geometric matching algorithms and geometric representations are examined for point sets, curves, surfaces, volumes, and their space-time trajectories. The author focuses mainly on general-purpose techniques. Geometric matching benefits grea...
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DOI: https://doi.org/10.1109/5.5966
Yumin Zhang, Yanyong Wang • EURASIP Journal on Image and Video Processing
(2025)
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data...
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Open Access (DOAJ)
DOI: 10.1186/s13640-025-00677-0
Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology
(2025)
Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...
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Open Access (DOAJ)
DOI: 10.3390/biology15010042
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
Xiao Chen Yang • Journal of Physics Conference Series
(2020)
Abstract Deep convolutional neural network (CNN) plays an important role in the field of computer vision and image processing. In order to further improve the performance of CNN, scholars have conducted a series of new explorations, such as...
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DOI: https://doi.org/10.1088/1742-6596/1693/1/012173
Ke Yan, Derek Hoiem, Rahul Sukthankar • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2005)
We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where the goal is to reliably identify a song given a few seconds of...
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DOI: https://doi.org/10.1109/cvpr.2005.105
Ching-Hsun Tseng, Shin-Jye Lee, Jianan Feng, Shengzhong Mao et al. • Entropy
(2022)
With the successful development in computer vision, building a deep convolutional neural network (CNNs) has been mainstream, considering the character of shared parameters in a convolutional layer. Stacking convolutional layers into a deep ...
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Open Access (DOAJ)
DOI: 10.3390/e24091243
Qaisar Abbas, Abdullah Alsheddy • IEEE Access
(2021)
Several hypovigilance detection systems (HDx) were developed to avoid road-side accidents due to driver fatigue. They have suffered from several limitations. Notably many of these are focused on center-head position to define an area of int...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068343
Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Atif Rizwan et al. • IEEE Access
(2024)
Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles. Recent advancements have significantly improved both supervised and self-supervised methods for ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3485089
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh • IEEE Access
(2023)
Federated Learning (FL) has recently emerged as a novel machine learning paradigm allowing to preserve privacy and to account for the distributed nature of the learning process in many real-world settings. Computer vision tasks deal with hu...
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DOI: https://doi.org/10.1109/access.2023.3310400
Aphrodite Sophokleous, Panayiotis Christodoulou, Lefteris Doitsidis, Savvas A. Chatzichristofis • Electronics
(2021)
Educational robotics has gained a lot of attention in the past few years in K-12 education. Prior studies have shown enough shreds of evidence and highlight the benefits of educational robotics as being effective in providing impactful lear...
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DOI: https://doi.org/10.3390/electronics10060730
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Chuan‐Zhi Dong, F. Necati Çatbaş • Structural Health Monitoring
(2020)
Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...
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DOI: https://doi.org/10.1177/1475921720935585
Simon J. D. Prince (2012)
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms....
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