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Academic Articles & Research Papers
Showing 20 of 647 academic articles
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
Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon
(2024)
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e36272
Prem Kumar Kalra, Bezalel Peleg • Lecture notes in computer science
(2006)
OPENALEX
DOI: https://doi.org/10.1007/11949619
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
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
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
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
• Lecture notes in computer science
(1995)
OPENALEX
DOI: https://doi.org/10.1007/bfb0027019
Daniel Graupe • Advanced series in circuits and systems
(1997)
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and compu...
OPENALEX
DOI: https://doi.org/10.1142/2982
Kevin Robert Gurney • CRC Press eBooks
(2018)
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counte...
OPENALEX
DOI: https://doi.org/10.1201/9781315273570
Genevieve Orr, Müller, Klaus-Robert • Lecture notes in computer science
(1998)
OPENALEX
DOI: https://doi.org/10.1007/3-540-49430-8
Kishan G. Mehrotra, Chilukuri Krishna Mohan, Sanjay Ranka • The MIT Press eBooks
(1996)
Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have ...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/2687.001.0001