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Academic Articles & Research Papers
Showing 20 of 46 academic articles
Xavier Vasques • Wiley eBooks
(2024)
This book chapter focuses on natural language processing (NLP) and covers various applications such as classifying messages as spam or ham, sentiment analysis, and the use of Bidirectional Encoder Representations from Transformers (BERT). T...
OPENALEX
DOI: https://doi.org/10.1002/9781394220649.ch4
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry Vetrov • arXiv (Cornell University)
(2015)
Deep neural networks currently demonstrate state-of-the-art performance in several domains. At the same time, models of this class are very demanding in terms of computational resources. In particular, a large amount of memory is required b...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1509.06569
Santanu Pattanayak • Apress eBooks
(2017)
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with T...
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DOI: https://doi.org/10.1007/978-1-4842-3096-1
Gérard Favier, Danilo Sousa Rocha • Entropy
(2023)
Due to increasingly strong and varied performance requirements, cooperative wireless communication systems today occupy a prominent place in both academic research and industrial development. The technological and economic challenges for fu...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e25081181
Vito Antonio Cimmelli • Entropy
(2023)
We propose a thermodynamic model describing the thermoelastic behavior of composition graded materials. The compatibility of the model with the second law of thermodynamics is explored by applying a generalized Coleman–Noll procedure. For t...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e25071084
Shama Sadiq, Nadeem Azhar, N. Myrzakulov, S. Toktarbay et al. • Nuclear Physics B
(2025)
This research explores the rapid expansion period of the early universe by applying the Chaplygin gas model, an alternative cosmological framework, to analyze the dynamics of inflationary processes. This study assesses the compatibility of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nuclphysb.2025.116981
Yvonne Schröder, Daniela Michelle Hohmann, Tina Meller, Ulrika Evermann et al. • European Psychiatry
(2021)
Abstract
Background
Previous case–control studies of autistic spectrum disorder (ASD) have identified altered brain structure such as altered frontal and temporal cortex volumes, or decreased fractional anisotropy (FA) within the inferior ...
DOAJ
Open Access (DOAJ)
DOI: 10.1192/j.eurpsy.2021.15
Paramita Basak Upama, Md Jobair Hossain Faruk, Mohammad Taneem Bin Nazim, Mohammad Masum et al. • IEEE Annual International Computer Software and Applications Conference (COMPSAC)
(2022)
Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts and phenomena of Quantum Mechanic (QM) with the significant potential to unlock a remarkable opportunity to solve complex and computationally i...
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Open Access
DOI: https://doi.org/10.1109/compsac54236.2022.00096
Cui-Bai Luo, Chen Wu, Song Shi, Hong-Shi Zong • Physics Letters B
(2018)
Based on the method of computing the curl of vector, axial-vector and the tensor current operator equations, the possible quantum anomaly for the transverse Ward–Takahashi relations in QED3 and QED2 theories is studied. The absence of trans...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.physletb.2018.10.041
Phillip Kaye, Raymond Laflamme, Michele Mosca • Oxford University Press eBooks
(2006)
This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Aimed at advanced undergraduate and beginnin...
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DOI: https://doi.org/10.1093/oso/9780198570004.001.0001
Karol Horodecki, Jingfang Zhou, Maciej Stankiewicz, Roberto Salazar et al. • New Journal of Physics
(2023)
Quantum contextuality is one of the most recognized resources in quantum communication and computing scenarios. We provide a new quantifier of this resource, the rank of contextuality (RC). We define RC as the minimum number of non-contextu...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/acdf78
William J. Zeng, Bob Coecke • Electronic Proceedings in Theoretical Computer Science
(2016)
We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2...
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cc-by-nc-nd
DOI: https://doi.org/10.4204/eptcs.221.8
Bogusław Cyganek, Jan Paul Siebert • Wiley eBooks
(2009)
present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; \n explain scale-space vision, as well as space reconstruction and multiview integration; \n demonstrate a va...
OPENALEX
DOI: https://doi.org/10.1002/9780470699720
Snehal D. Patil, Prashant P. Bartakke • IEEE Access
(2025)
With the expeditious advancement in multicarrier automotive in-vehicle monitoring for a bus conforming environment with computer vision, there is an exigency for a setup subsisting on inspection cameras and an onboard embedded computing dev...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3637900
Richard I. Hartley, Andrew Zisserman • Cambridge University Press eBooks
(2004)
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geome...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511811685
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...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Gérard Medioni, Sing Bing Kang (2004)
The state-of-the art in computer vision: theory, applications, and programmingWhether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard...
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Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics
(2021)
Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnbot.2021.762252
Milad Mozafari, Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini et al. • Frontiers in Neuroscience
(2019)
Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient. Unlike the non-spiking counterparts, most of...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnins.2019.00625
Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun et al. • IET Image Processing
(2024)
Abstract This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems. The suggested model uses a “long short‐term memory”...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.13287