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Showing 20 of 1,964 academic articles
Sanaz Janibeigi, Mahdi Bahaghighat, Zahra Yaghoubi, Nastooh Taheri Javan • CLEI Electronic Journal
(2026)
Conventional fire detection systems, which depend on smoke and fire sensors, frequently have problems with calibration, susceptibility to environmental changes, and the requirement for ongoing maintenance. These flaws can result in unfavora...
DOAJ
Open Access (DOAJ)
DOI: 10.19153/cleiej.29.2.5
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
Uma Narayanan, Pavan Prajith, Rijo Thomas Mathew, Royal Alexandar et al. • Inteligencia Artificial
(2024)
Researchers are concentrating on developing technologies to identify and caution drivers against driving while distracted because it is a major cause of traffic accidents. According to the National Highway Traffic Safety Administrator's rep...
DOAJ
Open Access (DOAJ)
Zhengwei Wang, Qi She, Tomas Emmanuel Ward • ACM Computing Surveys
(2021)
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where great advances have been made in challenges such as plausible i...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3439723
Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access
(2023)
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
Yejin Jung, Sunwoo Cho, Haeyoon Yang, Nam Ik Cho • IEEE Access
(2025)
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641590
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14219721
Andrei Mihalea, Adina Magda Florea • Applied Sciences
(2024)
Computer vision has significantly influenced recent advancements in autonomous driving by providing cutting-edge solutions for various challenges, including object detection, semantic segmentation, and comprehensive scene understanding. One...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14177776
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery
(2019)
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
OPENALEX
Open Access
DOI: https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
Ehtesham Hassan, Yasser Khalil, Imtiaz Ahmad • Journal of Engineering
(2020)
Object detection in real images is a challenging problem in computer vision. Despite several advancements in detection and recognition techniques, robust and accurate localization of interesting objects in images from real-life scenarios re...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2020/7286187
Simegnew Yihunie Alaba, Ali C. Gurbuz, John E. Ball • World Electric Vehicle Journal
(2024)
The pursuit of autonomous driving relies on developing perception systems capable of making accurate, robust, and rapid decisions to interpret the driving environment effectively. Object detection is crucial for understanding the environmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj15010020
Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research
(2024)
Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...
DOAJ
Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.6.013259
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan • IEEE Access
(2019)
Recognition of 3D shapes is a fundamental task in computer vision. In recent years, view-based deep learning has emerged as an effective approach for 3D shape recognition. Most existing view-based methods treat the views of an object as an ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2934650
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24092737
Long Zhang, Chuang Zhu, YueWei Wu, Yang Yang et al. • IET Image Processing
(2021)
Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12267
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...
DOAJ
Open Access (DOAJ)
Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng et al. • IET Computer Vision
(2020)
In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images. We propose a modified object‐detection method for this t...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2018.5508
Qun Zhao, Nisuo Du, Zhi Ouyang, Ning Kang et al. • IET Image Processing
(2021)
Abstract Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accu...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12292