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Academic Articles & Research Papers
Showing 20 of 46 academic articles
John P. Preskill • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
(1998)
I assess the potential of quantum computation. Broad and important applications must be found to justify construction of a quantum computer; I review some of the known quantum algorithms and consider the prospects for finding new ones. Quan...
OPENALEX
Open Access
DOI: https://doi.org/10.1098/rspa.1998.0171
Mark A. Paskin, Carlos Guestrin • arXiv (Cornell University)
(2012)
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a natural fit for distributed systems, but they must be robust to ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1207.4174
Nanette S. Holder • Defense Technical Information Center (DTIC)
(1992)
1. Introduction and overview of Artificial Neural Networks. 2,3. The Feed-forward Network as an inverse Problem, and results on the computational complexity of network training. 4.Physics applications of neural networks....
OPENALEX
Open Access
DOI: https://doi.org/10.21236/ada248258
Miaohui Wang, Wuyuan Xie, Jian Xiong, Dayong Wang et al. • IEEE Access
(2019)
In high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fix...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2917260
Filipe F. C. Silva, Pedro M. S. Carvalho, Luís A. F. M. Ferreira • Energies
(2021)
The dissemination of low-carbon technologies, such as urban photovoltaic distributed generation, imposes new challenges to the operation of distribution grids. Distributed generation may introduce significant net-load asymmetries between fe...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en14040830
Andrew M. Steane • Reports on Progress in Physics
(1998)
The subject of quantum computing brings together ideas from classical information theory, computer science, and quantum physics. This review aims to summarize not just quantum computing, but the whole subject of quantum information theory. ...
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Open Access
DOI: https://doi.org/10.1088/0034-4885/61/2/002
Siham Bakkouri, Abderrahmane Elyousfi • IEEE Access
(2022)
As an extension of the High Efficiency Video Coding (HEVC) standard, the 3D-HEVC needs to encode multiple texture videos and depth maps components. In the 3D-HEVC inter-coding test model, a large variety of Coding Unit (CU) sizes are adopte...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3147502
Timur Mamedov, Denis Kuplyakov, Anton Konushin • Sensors
(2023)
The idea of the person re-identification (Re-ID) task is to find the person depicted in the query image among other images obtained from different cameras. Algorithms solving this task have important practical applications, such as illegal ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23177382
Zeeshan Javed, Gon-Woo Kim • IEEE Access
(2022)
With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3204870
Martin Anthony, Peter L. Bartlett • Cambridge University Press eBooks
(1999)
First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. R...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511624216
Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace
(2025)
Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/aerospace12121039
Wataru Imai, Masaaki Ikehara • IEEE Access
(2022)
Under severe weather conditions, the quality of the images taken outside is directly affected by floating atmospheric particles. To keep the quality of the images, haze removal methods play a critical role. The most difficult part of haze r...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3204026
Yanhui Xi, Weijie Zhang, Feng Zhou, Xin Tang et al. • Energy Reports
(2023)
Accurate fault detection and classification help to analyze fault causes and quickly restore faulty phases. Deep learning can automatically extract fault features and identify fault types from the original three-phase voltage and current si...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.egyr.2022.12.043
Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan • Environmental Research Letters
(2021)
The troposphere is one of the atmospheric layers where most weather phenomena occur. Temperature variations in the troposphere, especially at 500 hPa, a typical level of the middle troposphere, are significant indicators of future weather c...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1748-9326/abfde9
Raghavendra Chalapathy, Sanjay Chawla • arXiv (Cornell University)
(2019)
Anomaly detection is an important problem that has been well-studied within diverse research areas and application domains. The aim of this survey is two-fold, firstly we present a structured and comprehensive overview of research methods i...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1901.03407
Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza et al. • BMC Medical Informatics and Decision Making
(2025)
Abstract Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imba...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-025-02966-0
Khawja Imran Masud, Md Yasin Zihad, Mehedi Hasan Shuvo, Mst Raonik Jannat et al. • PLoS ONE
(2026)
Early and real-time detection of rice leaf diseases (RLD) poses a significant challenge for farmers, especially in rural regions with limited access to advanced technology. Conventional deep learning models often require substantial computa...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0356383
Min-Hwa Choi, Woongchang Yoon • IEEE Access
(2025)
Port congestion and prolonged ship waiting times pose challenges for global trade and increase operational costs and inefficiencies. In this study, a novel machine learning-based predictive approach was proposed to improve port operations b...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3566429
Alberto Gil-Maciá, J. Enrique Sierra-García, Matilde Santos • Machine Learning with Applications
(2026)
Discrete reinforcement learning (RL) offers interpretability advantages compared to continuous reinforcement learning. Neural networks used in continuous RL behave like black boxes that do not show an obvious relationship between the system...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.mlwa.2026.100919
Shai Shalev‐Shwartz, Shai Ben-David • Cambridge University Press eBooks
(2014)
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book prov...
OPENALEX
DOI: https://doi.org/10.1017/cbo9781107298019