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Opeyemi Bamigbade, Mark Scanlon, John Sheppard • IEEE Access
(2025)
Embeddings remain the best way to represent image features, but do not always capture all latent information. This is still a problem in representation learning, and computer vision descriptors struggle with precision and accuracy. Improvin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564496
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s10086-023-02096-z
Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research
(2018)
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...
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cc-by-sa
DOI: https://doi.org/10.29099/ijair.v2i1.42
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
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11061360
Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics
(2026)
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/0004-6361/202557590
Om Khare, Sunil Mane, Harshmohan Kulkarni, Ninad Barve • Discover Artificial Intelligence
(2024)
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through com...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-024-00150-3
Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou et al. • IET Image Processing
(2022)
Abstract Deep neural networks have achieved great success in both computer vision and natural language processing tasks. How to improve the gradient flows is crucial in training very deep neural networks. To address this challenge, a gradie...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12353
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati et al. • ACM Computing Surveys
(2021)
Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rap...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3447239
Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao et al. • Information Processing in Agriculture
(2019)
Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer visio...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.inpa.2019.09.006
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han et al. • Artificial Intelligence Review
(2024)
Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of dee...
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DOI: https://doi.org/10.1007/s10462-024-10721-6
Robert Sorschag • Future Internet
(2012)
In this work, we address the use of object recognition techniques to annotate what is shown where in online video collections. These annotations are suitable to retrieve specific video scenes for object related text queries which is not pos...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi4010179
Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu
(2024)
The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...
DOAJ
Open Access (DOAJ)
DOI: 10.12438/cst.2023-1597
Gérard Medioni, Sing Bing Kang (2004)
The state-of-the art in computer vision: theory, applications, and programmingWhether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard...
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Muhammad Hussain • IEEE Access
(2024)
This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal architectural composition, providing a thorough understanding of its structural compone...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3378568
Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger • Foundations and Trends® in Computer Graphics and Vision
(2020)
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the fiel...
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Open Access
DOI: https://doi.org/10.1561/0600000079
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
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...
DOAJ
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3178951
Mohaiminul Islam, Guorong Chen, Shangzhu Jin • American Journal of Neural Networks and Applications
(2019)
Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in ...
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DOI: https://doi.org/10.11648/j.ajnna.20190501.12