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Academic Articles & Research Papers
Showing 20 of 503 academic articles
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
Daniilidis, Kostas, Nikos Paragios A, Maragos, Petros • Lecture notes in computer science
(2010)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-15561-1
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
Bernt Schiele, Sagerer, Gerhard • Lecture notes in computer science
(2001)
OPENALEX
DOI: https://doi.org/10.1007/3-540-48222-9
• Lecture notes in computer science
(1992)
OPENALEX
DOI: https://doi.org/10.1007/3-540-55426-2
Sabit Ahamed Preanto, Tapon Paul, Abid Khan, Md Hasan Imam Bijoy • Data in Brief
(2025)
Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.112174
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
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
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
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access
(2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297440
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
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
• Lecture notes in computer science
(2012)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-33564-8
Bart M. ter Haar Romeny, Luc M. J. Florack, Jan J. Koenderink, Max A. Viergever • Lecture notes in computer science
(1997)
OPENALEX
DOI: https://doi.org/10.1007/3-540-63167-4
Mads Nielsen, Joachim Weickert, Ole Fogh Olsen, Johansen, Peter • Lecture notes in computer science
(1999)
OPENALEX
DOI: https://doi.org/10.1007/3-540-48236-9
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
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
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
David J. Fleet, Tinne Tuytelaars, Bernt Schiele, Tomáš Pajdla • Lecture notes in computer science
(2014)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-10602-1