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Academic Articles & Research Papers
Showing 20 of 690 academic articles
Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven et al. • Smart Cities
(2024)
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather roadway geometry data, leading to significant savings in both time and money. Utilizing aerial and satellite imagery for data collection proves to b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/smartcities7030059
Jiajun Guo, Qingge Ji, Guangwei Shan • IET Image Processing
(2024)
Abstract Current skeleton‐based action recognition methods usually assume the input skeleton is complete and noise‐free. However, it is inevitable that the captured skeletons are incomplete due to occlusions or noisy due to changes in the e...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12944
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1111/1365-2656.12780
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
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...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.inpa.2019.09.006
Scott Krig • Apress eBooks
(2014)
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necess...
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-1-4302-5930-5
Mohammed L. Jabbar, Abbas Shwya Alwan • مجلة علوم ذي قار
(2019)
Chopper is an important component in optical system. It represents a device, which changes the angle between the coordinate and vision lines of the target for the electrical signal. The chopper modulates the optical signal by a frequency de...
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Open Access (DOAJ)
Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering
(2023)
According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.rineng.2023.101130
Iosif-Alin Beti, Paul-Corneliu Herghelegiu, Constantin-Florin Caruntu • Information
(2024)
The growing number of vehicles on the roads has resulted in several challenges, including increased accident rates, fuel consumption, pollution, travel time, and driving stress. However, recent advancements in intelligent vehicle technologi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info15060323
Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen et al. • Buildings
(2022)
The assessment of indoor thermal environments is crucial to achieving thermal comfort and energy efficiency. However, the inaccurate evaluation and strong nonlinear variations of thermal comfort parameters limit engineering designs. Therefo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings12111880
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
Zuo-cheng Yang, Bo-wen Xue, Xin-yu Song, Chuan-dong Yin et al. • Frontiers in Neuroscience
(2024)
ObjectivesThis study aimed to elucidate the influences of 1p/19q co-deletion on structural connectivity alterations in patients with dominant hemisphere insular diffuse gliomas.MethodsWe incorporated 32 cases of left insular gliomas and 20 ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnins.2024.1283518
Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies
(2021)
To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en14196049
Chao Wang, Jun-Feng Hao, He Huang, Wang Zou et al. • IEEE Access
(2025)
Traffic flow forecasting is a critical and essential technology in the field of Intelligent Transportation Systems (ITS), as it plays a pivotal role in optimizing traffic management, improving road safety, and enhancing the overall efficien...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3553535
Zhangping He, Zhendong Zhang, Cheolkon Jung • IEEE Access
(2018)
In this paper, we propose fast Fourier transform networks for object tracking, called FFTNet. FFTNet is a correlation filter (CF)-based tracker that integrates two main components of CF, i.e., auto correlation and cross correlation between ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2018.2790942
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Yao He, Jing Yang, Shaobo Li, Jianjun Hu et al. • Complex & Intelligent Systems
(2024)
Abstract Catastrophic forgetting in neural networks is a common problem, in which neural networks lose information from previous tasks after training on new tasks. Although adopting a regularization method that preferentially retains the pa...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s40747-024-01350-1
Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics
(2022)
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14050997
Ning Zhang, Enxu Zhang, Fei Li • Applied Sciences
(2023)
Soybean is a type of food crop with economic benefits. Whether they are damaged or not directly affects the survival and nutritional value of soybean plants. In machine learning, unbalanced data represent a major factor affecting machine le...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13116425