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Showing 20 of 2,701 academic articles
Richard Szeliski • Choice Reviews Online
(2011)
Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old ...
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DOI: https://doi.org/10.5860/choice.48-5140
Marco Antonio Contreras-Cruz, Juan Pablo Ramirez-Paredes, Uriel Haile Hernandez-Belmonte, Victor Ayala-Ramirez • Sensors
(2019)
One of the essential abilities in animals is to detect novelties within their environment. From the computational point of view, novelty detection consists of finding data that are different in some aspect to the known data. In robotics, re...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s19132965
Md Golam Kibria, Md Shohel Parvez, Palash Saha, Subrata Talapatra • Heliyon
(2023)
Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2023.e22179
Iosif-Alin Beti, Paul-Corneliu Herghelegiu, Constantin-Florin Caruntu • Information
(2024)
The growing number of vehicles on the roads has resulted in several challenges, including increased accident rates, fuel consumption, pollution, travel time, and driving stress. However, recent advancements in intelligent vehicle technologi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info15060323
Minsoo Hong, Yoonsik Choe • Applied Sciences
(2019)
The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9112358
Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang et al. • IET Image Processing
(2021)
Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12269
Juhyeon Kim, Emin Orhan, Kijung Yoon, Xaq Pitkow • IEEE Access
(2022)
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this complexity, typically down to a scalar activation function of a...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3178951
Bukola Peter Adedeji • World Electric Vehicle Journal
(2021)
Demand for pure electric vehicles has been found to be increasing over the years. This has necessitated the development of a model that would serve as a predicting machine for manufacturing different types of pure electric vehicles. Direct ...
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Open Access (DOAJ)
DOI: 10.3390/wevj12040257
F. Cadini, E. Zio, N. Pedroni • Science and Technology of Nuclear Installations
(2008)
Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control appli...
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Open Access (DOAJ)
DOI: 10.1155/2008/681890
Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen et al. • Buildings
(2022)
The assessment of indoor thermal environments is crucial to achieving thermal comfort and energy efficiency. However, the inaccurate evaluation and strong nonlinear variations of thermal comfort parameters limit engineering designs. Therefo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings12111880
Nachimuthu Karunanithi, William J. Grenney, Darrell Whitley, Ken D. Bovee • Journal of Computing in Civil Engineering
(1994)
The surface‐water hydrographs of rivers exhibit large variations due to many natural phenomena. One of the most commonly used approaches for interpolating and extending streamflow records is to fit observed data with an analytic power model...
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DOI: https://doi.org/10.1061/(asce)0887-3801(1994)8:2(201)
Sandhya Samarasinghe • Auerbach Publications eBooks
(2011)
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introd...
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DOI: https://doi.org/10.1201/9780849333750
Kyoung-Mi Jang, Myung-Sun Kim, Do-Won Kim • Frontiers in Human Neuroscience
(2020)
This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level act...
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Open Access (DOAJ)
DOI: 10.3389/fnhum.2020.580813
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)
Sundaram Senthilraj, Ramachandran Raja, Jinde Cao, Habib M. Fardoun • Nonlinear Analysis
(2019)
This paper focuses on the problem of delay-dependent robust dissipativity analysis for a class of stochastic fuzzy neural networks with time-varying delay. The randomly occurring uncertainties under consideration are assumed to follow certa...
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Open Access (DOAJ)
DOI: 10.15388/NA.2019.4.5
Juan F. Saldarriaga, Fabio Freire, Jose Freire • Chemical Engineering Transactions
(2018)
The minimum spouting velocity is one of the fundamental parameters in the application of the conical spouted bed pyrolysis, gasification and combustion, therefore it is necessary the adequate calculation and the use of a correlation with go...
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Open Access (DOAJ)
DOI: 10.3303/CET1870208
Jian Liu, Pei Niu, Yihui Jiang, Zilong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2026)
Object detection in uncrewed aerial vehicle (UAV) acquired images remains a challenging task due to extreme scale variation, dense object layouts, and complex backgrounds, etc. Although convolutional neural networks (CNNs), transformers, an...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2026.3729713
Florence Choong Chiao Mei, Bryan Ng Jan Hong • Journal of Engineering Technology and Applied Physics
(2025)
Agriculture is one of the largest sectors that contribute to the economic growth of countries, including Malaysia. However, plant diseases affect the quality of the harvest and impede farmers’ maximum yield output. Therefore, early detectio...
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Open Access (DOAJ)
DOI: 10.33093/jetap.2025.7.1.2
Ivana Valentina Lemmuela, Mewati Ayub, Oscar Karnalim • Journal of Information Systems Engineering and Business Intelligence
(2025)
Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditio...
DOAJ
Open Access (DOAJ)
DOI: 10.20473/jisebi.11.1.17-29
Ye Yuan, Yongtong Zhu, Jiaqi Wang, Ruoshi Li et al. • Frontiers in Neuroscience
(2023)
IntroductionSpiking neural networks (SNNs), inspired by biological neural networks, have received a surge of interest due to its temporal encoding. Biological neural networks are driven by multiple plasticities, including spike timing-depen...
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Open Access (DOAJ)
DOI: 10.3389/fnins.2023.1224752