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Showing 20 of 6,095 academic articles
Max Welling, Nicu Sebe, Jiřı́ Matas, Bastian Leibe • Lecture notes in computer science
(2016)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-46448-0
Thorsten Thormaehlen, Hellward Broszio, Axel Weißenfeld • Lecture notes in computer science
(2004)
OPENALEX
DOI: https://doi.org/10.1007/b97865
Hans Burkhardt, Bernd Neumann • Lecture notes in computer science
(1998)
OPENALEX
DOI: https://doi.org/10.1007/bfb0054729
• Communications in computer and information science
(2021)
OPENALEX
DOI: https://doi.org/10.1007/978-981-16-1103-2
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
Muhammad Hussain • IEEE Access
(2024)
This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal architectural composition, providing a thorough understanding of its structural compone...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3378568
C. H. Chen, Patrick S. P. Wang • WORLD SCIENTIFIC eBooks
(2005)
Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features ar...
OPENALEX
DOI: https://doi.org/10.1142/5711
Reinhard Klette • Undergraduate topics in computer science
(2014)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4471-6320-6
Richard Szeliski • Choice Reviews Online
(2011)
Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old ...
OPENALEX
DOI: https://doi.org/10.5860/choice.48-5140
Richard Szeliski • Texts in computer science
(2022)
OPENALEX
DOI: https://doi.org/10.1007/978-3-030-34372-9
Richard Szeliski • Texts in computer science
(2010)
OPENALEX
DOI: https://doi.org/10.1007/978-1-84882-935-0
Dong X, Gao D, Hou T, Weng C et al. • BMC sports science, medicine & rehabilitation
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s13102-026-01957-6
PMC: PMC13737681
Hehemann L, Stetza L, Kayser C • The European journal of neuroscience
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/ejn.70737
PMC: PMC13736154
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
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
Ren Y, Jiang L, Zhou W, Li X • Science progress
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/00368504261490994
PMC: PMC13735667
Ma R, Wang X, Mei Y • Science progress
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/00368504261492893
PMC: PMC13735657
Juhyeon Kim, Emin Orhan, Kijung Yoon, Xaq Pitkow • IEEE Access
(2022)
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this complexity, typically down to a scalar activation function of a...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3178951
F. Cadini, E. Zio, N. Pedroni • Science and Technology of Nuclear Installations
(2008)
Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control appli...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2008/681890
• Lecture notes in computer science
(1995)
OPENALEX
DOI: https://doi.org/10.1007/bfb0027019