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Showing 20 of 757 academic articles
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
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
C. M. Brown • Science
(1984)
Computer vision, the automatic construction of scene descriptions from image input data, has just entered its second decade. Approaches have varied widely, especially in the amounts of symbolic, domain-dependent knowledge and inference that...
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DOI: https://doi.org/10.1126/science.224.4655.1299
Hyungchul Yoon, Vedhus Hoskere, Jong-Woong Park, Billie F. Spencer • Sensors
(2017)
Computer vision techniques have been employed to characterize dynamic properties of structures, as well as to capture structural motion for system identification purposes. All of these methods leverage image-processing techniques using a st...
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Open Access (DOAJ)
DOI: 10.3390/s17092075
Jau-Yu Chou, Chia-Ming Chang • Sensors
(2021)
Vibrational measurements play an important role for structural health monitoring, e.g., modal extraction and damage diagnosis. Moreover, conditions of civil structures can be mostly assessed by displacement responses. However, installing di...
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Open Access (DOAJ)
DOI: 10.3390/s21186248
Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi et al. • Manufacturing Review
(2025)
This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. Conventional pose detection methods, such as laser and c...
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Open Access (DOAJ)
DOI: 10.1051/mfreview/2025004
Zongji Wang, Yunfei Liu, Feng Lu • Computational Visual Media
(2023)
Abstract Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene properties is ill-posed. Several physically motivated priors have been used to restrict th...
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Open Access (DOAJ)
DOI: 10.1007/s41095-022-0294-4
Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
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Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
Edward Pervin, Jon A. Webb • Defense Technical Information Center (DTIC)
(1982)
Computer vision and robotics suffer from not having good tools for manipulating three-dimensional objects. Vectors, coordinate geometry, and trigonometry all have deficiencies. Quaternions can be used to solve many of these problems. Many p...
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DOI: https://doi.org/10.21236/ada125076
Lu Yuan, Dongdong Chen, Yi‐Ling Chen, Noel Codella et al. • arXiv (Cornell University)
(2021)
Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on d...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2111.11432
Luna Ngeljaratan, Elif Ecem Bas, Mohamed A. Moustafa • Sensors
(2024)
Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications. Prior wo...
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Open Access (DOAJ)
DOI: 10.3390/s24051450
Hossein Tahani, James M. Keller • IEEE Transactions on Systems Man and Cybernetics
(1990)
A method of evidence fusion, based on the fuzzy integral, is developed. This technique nonlinearly combines objective evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect ...
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DOI: https://doi.org/10.1109/21.57289
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access
(2020)
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3039858
Linda Nötzold, Lukas Frank, Minakshi Gandhi, Maria Polycarpou-Schwarz et al. • Scientific Reports
(2017)
Abstract In recent years, long non-coding RNA (lncRNA) research has identified essential roles of these transcripts in virtually all physiological cellular processes including tumorigenesis, but their functions and molecular mechanisms are ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-017-02357-0
Stephen Price, Kiran Judd, Kyle Tsaknopoulos, Rodica Neamtu et al. • Scientific Reports
(2025)
Abstract Powder properties, particularly their morphology (which includes size, shape, surface roughness, etc.), play a critical role in the quality of cold spray additively manufactured materials. A change in feedstock powder morphology ca...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-09642-3
Colby R. Hansen, Tom Henderson • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1989)
The authors explore the connection between CAGD (computer-aided geometric design) and computer vision. A method for the automatic generation of recognition strategies based on the 3-D geometric properties of shape has been devised and imple...
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DOI: https://doi.org/10.1109/34.42856
Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano et al. • Journal of Wood Science
(2023)
Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ra...
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Open Access (DOAJ)
DOI: 10.1186/s10086-023-02096-z
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
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Open Access (DOAJ)
DOI: 10.3390/data9020036
Vishvjit S. Nalwa (1993)
An introduction to computer vision, covering the structure and properties of the visual world. This concise guide stresses fundamental concepts, and also provides details and pointers with respect to recent developments. The author pursues ...
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Thomas S. Huang • CERN Document Server (European Organization for Nuclear Research)
(1996)
In this paper we give a somewhat personal and perhaps biased overview of the field of Computer Vision.First, we define computer vision and give a very brief history of it.Then, we outline some of the reasons why computer vision is a very di...
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Open Access
DOI: https://doi.org/10.5170/cern-1996-008.21