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Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences
(2025)
Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...
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Open Access (DOAJ)
DOI: 10.3390/app151910413
Xiao Chen Yang • Journal of Physics Conference Series
(2020)
Abstract Deep convolutional neural network (CNN) plays an important role in the field of computer vision and image processing. In order to further improve the performance of CNN, scholars have conducted a series of new explorations, such as...
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DOI: https://doi.org/10.1088/1742-6596/1693/1/012173
Xinkai Xu, Hailan Zhang, Yan Ma, Kang Liu et al. • Remote Sensing
(2023)
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular metho...
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Open Access (DOAJ)
DOI: 10.3390/rs15143525
Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research
(2026)
The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...
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Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102698
Liang Lu, Carlos Redondo, Pascual Campoy • Sensors
(2020)
Aerial robots are widely used in search and rescue applications because of their small size and high maneuvering. However, designing an autonomous exploration algorithm is still a challenging and open task, because of the limited payload an...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20226507
Saleh Albahli, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf et al. • IEEE Access
(2020)
Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to the other body organs i.e. li...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3035345
Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence
(2026)
Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...
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Open Access (DOAJ)
DOI: 10.3389/frai.2026.1884567
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision
(2016)
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...
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Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2015.0297
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
Shahrzad Gholami, Derek E. Lee, Caleb Robinson, Monica L. Bond et al. • Scientific Reports
(2026)
Abstract Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture–recapture, demographic analyses, and behavioral research. We pr esent GIRAFFE (Generalized Image-based...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-54115-w
Zhangnan Wu, Yajun Chen, Bo Zhao, Xiaobing Kang et al. • Sensors
(2021)
Weeds are one of the most important factors affecting agricultural production. The waste and pollution of farmland ecological environment caused by full-coverage chemical herbicide spraying are becoming increasingly evident. With the contin...
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DOI: https://doi.org/10.3390/s21113647
PMC: 8197187
Masoud Faraki, Maziar Palhang, Conrad Sanderson • IET Computer Vision
(2015)
Representing videos by densely extracted local space–time features has recently become a popular approach for analysing actions. In this study, the authors tackle the problem of categorising human actions by devising bag of words (BoWs) mod...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2014.0018
Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser et al. • Proceedings of the National Academy of Sciences
(2017)
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the phys...
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Open Access
DOI: https://doi.org/10.1073/pnas.1619003114
PMC: 5530649
Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang et al. • IEEE Access
(2021)
Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects in a large-scale background. The tiny objects knowledge become sparse and weak due to their tiny size, which ma...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3074790
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings
(2024)
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...
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Open Access (DOAJ)
DOI: 10.3390/ecsa-11-20476
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
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
Vijay Kakani, Van Huan Nguyen, Basivi Praveen Kumar, Hakil Kim et al. • Journal of Agriculture and Food Research
(2020)
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenom...
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DOI: https://doi.org/10.1016/j.jafr.2020.100033
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
Kefeng Lv, Yongsheng Zhang, Ying Yu, Zhenchao Zhang et al. • Remote Sensing
(2022)
Visual localization is a core part of many computer vision and geospatial perception applications; however, the ever-changing time phase and environment present challenges. Moreover, the ever-enriching spatial data types and sensors create ...
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Open Access (DOAJ)
DOI: 10.3390/rs14163983