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Academic Articles & Research Papers
Showing 20 of 648 academic articles
Scott E. Umbaugh • Prentice Hall PTR eBooks
(1997)
From the Publisher:
True computer imaging for engineers!
Digital signal processing has long been the domain of electrical engineers, while the manipulation of image data has been handled by computer scientists. The convergence of these...
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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
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
Erentürk K, Dikbaş N, Uçar S, Alım Ş • BMC biotechnology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s12896-026-01210-5
PMC: PMC13732988
Dong Trong Nguyen, Christian Lindahl Elseth, Jakob Rude Øvstaas, Nikolai Arntzen et al. • Frontiers in Robotics and AI
(2025)
As aquaculture expands to meet global food demand, it remains dependent on manual, costly, infrequent, and high-risk operations due to reliance on high-end Remotely Operated Vehicles (ROVs). Scalable and autonomous systems are needed to ena...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2025.1655242
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano • Computational Urban Science
(2026)
Abstract Understanding how environmental conditions and policy interventions jointly shape pedestrian mobility is essential for designing resilient, adaptive, and human-centered urban spaces. This study presents a computer-vision framework ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43762-026-00284-3
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan‐Mark Geusebroek • Wiley eBooks
(2012)
While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color i...
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DOI: https://doi.org/10.1002/9781118350089
E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional
content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017
Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution
(2023)
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/insects17030305
Ben G. Weinstein • Journal of Animal Ecology
(2017)
A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in t...
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Open Access
DOI: https://doi.org/10.1111/1365-2656.12780
Koob V, Janczyk M • Human factors
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/00187208261463136
PMC: PMC13736666
Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters
(2022)
Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.50
Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting
(2026)
Abstract
BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/98889
Mirko van der Baan, Christian Jutten B • Geophysics
(2000)
Abstract Neural networks are increasingly popular in geophysics. Because they are universal approximators, these tools can approximate any continuous function with an arbitrary precision. Hence, they may yield important contributions to fin...
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DOI: https://doi.org/10.1190/1.1444797
Samanwoy Ghosh‐Dastidar, Hojjat Adeli • International Journal of Neural Systems
(2009)
Most current Artificial Neural Network (ANN) models are based on highly simplified brain dynamics. They have been used as powerful computational tools to solve complex pattern recognition, function estimation, and classification problems. A...
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DOI: https://doi.org/10.1142/s0129065709002002
Qingyang Xiao, Kaiyuan Liu, Yuhui Hong, Haixu Tang • ACS in focus
(2024)
In recent years, breakthroughs in artificial intelligence (AI) have dramatically transformed many fields. Developments in neural networks primarily drive the advances. These powerful models have demonstrated unprecedented capabilities in le...
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DOI: https://doi.org/10.1021/acsinfocus.7e8012
Jinming Zou, Yi Han, Sung‐Sau So • Methods in molecular biology
(2008)
The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to ...
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DOI: https://doi.org/10.1007/978-1-60327-101-1_2
Sudheesh Parathakkatt, Vaisakh Kizhuveetil, Gokul G. K., Rajashree Ajay Markandewar • eXPRESS Polymer Letters
(2026)
Worm-like micelles (WLMs) are dynamic, self-assembling supramolecular structures that exhibit complex viscoelastic behaviour due to their ability to undergo reversible scission, fusion, branching, and sequence rearrangement. This review pro...
DOAJ
Open Access (DOAJ)
DOI: 10.3144/expresspolymlett.2026.36
Ajith Abraham • Wiley eBooks
(2005)
Abstract Artificial neural networks are useful tools that have been applied successfully in a broad range of signal‐processing problems. From a signal‐processing perspective, their ability to adapt continuously to new data allows them to tr...
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DOI: https://doi.org/10.1002/0471497398.mm421