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Showing 20 of 857 academic articles
Gustavo A. Acosta-Amaya, Deimer A. Miranda-Montoya, Jovani A. Jimenez-Builes • Sensors
(2024)
(1) Background: Human detection and tracking are critical tasks for assistive autonomous robots, particularly in ensuring safe and efficient human–robot interaction in indoor environments. The increasing need for personal assistance among t...
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Open Access (DOAJ)
DOI: 10.3390/s24237796
Anwaar Ulhaq, Jannis Born, Asim Ali Khan, Douglas Pinto Sampaio Gomes et al. • IEEE Access
(2020)
The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of artificial intelligence, has enjoyed recent success in solving various comple...
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DOI: https://doi.org/10.1109/access.2020.3027685
PMC: 8545281
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
Francisco Troncoso-Pastoriza, Javier López-Gómez, Lara Febrero-Garrido • Sensors
(2018)
This paper introduces a comprehensive approach based on computer vision for the automatic detection, identification and pose estimation of lamps in a building using the image and location data from low-cost sensors, allowing the incorporati...
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Open Access (DOAJ)
DOI: 10.3390/s18072364
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Xinkun Tang, Ying Xu, Feng Ouyang, Ligu Zhu • Applied Sciences
(2023)
Super-resolution in image and video processing has been a challenge in computer vision, with its progression creating substantial societal ramifications. More specifically, video super-resolution methodologies aim to restore spatial details...
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Open Access (DOAJ)
DOI: 10.3390/app131810165
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
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Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
Otilia Zvorișteanu, Simona Caraiman, Vasile-Ion Manta • Mathematics
(2022)
Environment perception and understanding represent critical aspects in most computer vision systems and/or applications. State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated h...
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Open Access (DOAJ)
DOI: 10.3390/math10142365
R. Bradski Gary (1998)
As a first step towards a perceptual user interface, a computer vision color tracking algorithm is developed and applied towards tracking human faces. Computer vision algorithms that are intended to form part of a perceptual user interface ...
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Ahmed Banafa • River Publishers eBooks
(2024)
Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...
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DOI: https://doi.org/10.1201/9781032669182-5
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Scott Krig • Apress eBooks
(2014)
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necess...
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Open Access
DOI: https://doi.org/10.1007/978-1-4302-5930-5
Simon J. D. Prince • Cambridge University Press eBooks
(2012)
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the worl...
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DOI: https://doi.org/10.1017/cbo9780511996504
Engin Derya Gezer, Abdullah Uğur Birinci, Aydın Demir, Hasan Öztürk et al. • BioResources
(2024)
The primary aim of this work was to determine the effects of production parameters, such as wood species and timber strength classes, on some mechanical properties of cross-laminated timber (CLT) panels using artificial neural network (ANN)...
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Open Access (DOAJ)
Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi et al. • Sensors
(2024)
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power cardiac arrhythmia classifiers owing to their high weight compression rate. However, multi-class classification of ECG signals based on bCN...
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Open Access (DOAJ)
DOI: 10.3390/s24227207
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
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Open Access (DOAJ)
DOI: 10.1063/5.0332993
Saman Maroufpour, Eisa Maroufpoor, Hadi Sanikhani • مهندسی منابع آب
(2017)
Evapotranspiration (ET0), a major component of the hydrologic cycle, is important in water resources development and irrigation planning. The ET0 for west and northwest of Iran was estimated using the FAO Penman-Montieth method (FAO-56) as ...
DOAJ
Open Access (DOAJ)
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Anindya Gupta, Philip John Harrison, Håkan Wieslander, Nicolas Pielawski et al. • Cytometry Part A
(2018)
Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and ho...
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DOI: https://doi.org/10.1002/cyto.a.23701
PMC: 6590257