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Academic Articles & Research Papers
Showing 20 of 1,492 academic articles
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
Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao • IEEE Access
(2025)
Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. An effective approach to address this issue is model quantization, which achieves network co...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3551802
Eric Tutu Tchao, Simon Atuah Asakipaam, Yesuenyeagbe Atsu Kwabla Fiagbe, Bright Yeboah-Akowuah et al. • Scientific African
(2022)
A recent assessment of a pilot concentrating solar power plant in Ghana noticed the failure of the tracking system to accurately align the multifaceted heliostats toward the sun and focus the sunbeams onto the target. A further review of so...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.sciaf.2022.e01228
Musaddiq Al Ali, Masatoshi Shimoda, Marc Naguib • Applied Sciences
(2024)
This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing custom-developed photogrammetry software, high-resolution ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14156786
Sudeep Sarkar, Kim L. Boyer • Series in machine perception and artificial intelligence
(1994)
This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (P...
OPENALEX
DOI: https://doi.org/10.1142/2421
Patrick Henz • Discover Psychology
(2022)
Abstract The Metaverse is no revolution, but another step in the evolution of the internet. Today we can observe various 3D virtual worlds with different focuses and purposes, like meeting spaces, education, or classic gaming. Most of these...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44202-022-00061-3
Anna S. Kolosova, Anna S. Kameneva, Georgii G. Chukov, Alexander Y. Nikiforov • Безопасность информационных технологий
(2023)
The major algorithms and methods of machine learning are considered. A possibility of machine learning and neural network using for electronic equipment quality prediction is assessed. The paper provides examples of the successful applicati...
DOAJ
Open Access (DOAJ)
DOI: 10.26583/bit.2023.1.09
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
Sabit Ahamed Preanto, Tapon Paul, Abid Khan, Md Hasan Imam Bijoy • Data in Brief
(2025)
Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.112174
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
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, Cynthia Recendez et al. • Frontiers in Cell and Developmental Biology
(2024)
Macrophages can exhibit pro-inflammatory or pro-reparatory functions, contingent upon their specific activation state. This dynamic behavior empowers macrophages to engage in immune reactions and contribute to tissue homeostasis. Understand...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcell.2024.1259037
Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski • Sensors
(2024)
The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24237560
Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics
(2025)
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao et al. • Complex & Intelligent Systems
(2026)
Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s40747-025-02205-z
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...
OPENALEX
DOI: https://doi.org/10.1061/(asce)0887-3801(1994)8:2(201)
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...
OPENALEX
DOI: https://doi.org/10.1190/1.1444797
Itay Hubara, Daniel Soudry, Yaniv, Ran El • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time and when computing the parameters' gradient at train-time. We conduct two sets of experiments, each based on a...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02505
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnhum.2020.580813
Xuan Chen, Zihang Li, Yong Han, Liping Yang et al. • Translational Psychiatry
(2025)
Abstract The persistence of drug memories accounts for the high risk of drug relapse, which is a major challenge in the treatment of substance use disorders. However, the neurobiological underpinnings, especially the dynamic changes of brai...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41398-025-03667-y
Chunxu Qin, Yiran Ma, Huijuan Liang, Zhifan Wang et al. • Modelling
(2026)
The end-winding insulation structure of stator windings in pumped-storage generator units is complex, with pronounced electric field concentration under out-of-phase conditions, making them critical concerns in insulation design and conditi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/modelling7050190