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Academic Articles & Research Papers
Showing 20 of 423 academic articles
Mengchen Huang, Ruben Fernandez-Beltran, Ginés García-Mateos • Sensors
(2024)
Shadow, a natural phenomenon resulting from the absence of light, plays a pivotal role in agriculture, particularly in processes such as photosynthesis in plants. Despite the availability of generic shadow datasets, many suffer from annotat...
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Open Access (DOAJ)
DOI: 10.3390/s24092737
Xuefei Yu, Jinan Gu, Zedong Huang, Zhijie Zhang • PLoS ONE
(2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep...
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Open Access (DOAJ)
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
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
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Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7
Ze Si, Dongmei Fu, Yang Liu, Zhicheng Huang • IET Image Processing
(2021)
Abstract Diabetic retinopathy (DR) is the main reason that causes preventable blindness. Hard exudate is one of the earliest signs of diabetic retinopathy. Precise detection of hard exudate is helpful for the early diagnosis of diabetic ret...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12007
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
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Open Access (DOAJ)
DOI: 10.3390/data9020036
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...
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Open Access (DOAJ)
DOI: 10.1007/s44163-024-00150-3
Vladyslav Yavtukhovskyi, Violeta Tretynyk • Кібернетика та комп'ютерні технології
(2025)
Introduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, on...
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Open Access (DOAJ)
DOI: 10.34229/2707-451X.25.2.6
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...
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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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DOI: https://doi.org/10.1016/j.inpa.2019.09.006
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...
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Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon
(2024)
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e36272
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
Chairina Ulfa, Muhammad Fikry, Hafizh Al Kautsar AIdilof • Journal of Applied Informatics and Computing
(2026)
The rise of violent crimes involving sharp weapons and firearms in public spaces, including educational campuses, demands an automated real-time surveillance system to assist security personnel. This study proposes a web-based weapon detect...
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Open Access (DOAJ)
DOI: 10.30871/jaic.v10i4.13454
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
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12269
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj12040257
John Hancock, Taghi M. Khoshgoftaar • Journal Of Big Data
(2020)
Abstract This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in neural networks are well known. However, researchers continue to discover n...
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DOI: https://doi.org/10.1186/s40537-020-00305-w