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Academic Articles & Research Papers
Showing 20 of 186 academic articles
Dinh Hoa Nguyen • IEEE Access
(2021)
Peer-to-peer (P2P) energy trading has recently emerged as a promising paradigm for integrating renewable and distributed energy resources into local energy grids with the presence of active prosumers. However, prosumers often have different...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3125031
Sonya A. Grier, Carol A. Bryant • Annual Review of Public Health
(2004)
Social marketing, the use of marketing to design and implement programs to promote socially beneficial behavior change, has grown in popularity and usage within the public health community. Despite this growth, many public health profession...
OPENALEX
Open Access
DOI: https://doi.org/10.1146/annurev.publhealth.26.021304.144610
(2010)
Abstract Controversies about risks to public health regularly hit the news, whether about food safety, environmental issues, medical interventions, or ‘lifestyle’ risks such as drinking. To those trying to manage or regulate risks, public r...
OPENALEX
Open Access
DOI: https://doi.org/10.1093/acprof:oso/9780199562848.001.0001
Santiago Palacios • Drugs in Context
(2020)
The menopause-related decline in estrogen levels leads to an array of genital, sexual, and urinary symptoms collectively known as genitourinary syndrome of menopause. The constellation of symptoms associated with vulvar and vaginal atrophy ...
DOAJ
Open Access (DOAJ)
DOI: 10.7573/dic.2020-3-2
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen et al. • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2023)
Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...
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DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research
(2020)
BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...
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DOI: https://doi.org/10.2196/15708
PMC: 8132982
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
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
Anthony Masinton, James Jago • British Art Studies
(2020)
Crafting a digital reconstruction of a lost space is a process of rediscovery and exploration. The nature of the evidence determines the form of the reconstruction, providing a sketch of what is known about the space. The process of reconst...
DOAJ
Open Access (DOAJ)
DOI: 10.17658/issn.2058-5462/issue-16/amasinton
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
Qingyang Xiao, Kaiyuan Liu, Yuhui Hong, Haixu Tang • ACS in focus
(2024)
In recent years, breakthroughs in artificial intelligence (AI) have dramatically transformed many fields. Developments in neural networks primarily drive the advances. These powerful models have demonstrated unprecedented capabilities in le...
OPENALEX
DOI: https://doi.org/10.1021/acsinfocus.7e8012
Tianjiao Zeng, Yanmin Zhu, Edmund Y. M. Lam • Optics Express
(2021)
Recent years have witnessed the unprecedented progress of deep learning applications in digital holography (DH). Nevertheless, there remain huge potentials in how deep learning can further improve performance and enable new functionalities ...
OPENALEX
Open Access
DOI: https://doi.org/10.1364/oe.443367
Kaixuan Sun, Qi Yao, Yanhui Li • PLoS ONE
(2025)
The volatility of agricultural commodity prices significantly affects market stability and financial market dynamics, especially during periods of economic uncertainty and global shocks. Accurate price prediction, however, remains challengi...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0337103
Daniel Kirk, E.J. Kok, Michele Tufano, Bedir Teki̇nerdoğan et al. • Advances in Nutrition
(2022)
Data currently generated in the field of nutrition are becoming increasingly complex and high-dimensional, bringing with them new methods of data analysis. The characteristics of machine learning (ML) make it suitable for such analysis and ...
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DOI: https://doi.org/10.1093/advances/nmac103
PMC: 9776646
Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail Kanevski • Scientific Reports
(2020)
Abstract As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming more aware of the relevance of their work to help ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-020-79148-7
Drew Conway, J.M. White • CERN Document Server (European Organization for Nuclear Research)
(2012)
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John...
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Maher Abuhussain, Ali Hussain Alhamami, Khaled Almazam, Omar Humaidan et al. • Buildings
(2025)
This study introduces a comprehensive framework combining building information modeling (BIM), project management body of knowledge (PMBOK), and machine learning (ML) to optimize energy efficiency and reduce environmental impacts in Riyadh’...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings15173031
Giorgio Quer, Ramy Arnaout, Michael Henne, Rima Arnaout • Journal of the American College of Cardiology
(2021)
The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response. Today, increasingly sophisticated machine learning algorithms may grow to support clin...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jacc.2020.11.030
PMC: 7839163
Yu‐Chen Lo, Stefano Rensi, Wen Torng, Russ Biagio Altman • Drug Discovery Today
(2018)
Chemoinformatics is an established discipline focusing on extracting, processing and extrapolating meaningful data from chemical structures. With the rapid explosion of chemical 'big' data from HTS and combinatorial synthesis, machine learn...
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DOI: https://doi.org/10.1016/j.drudis.2018.05.010
PMC: 6078794
Naga Ramesh Palakurti, Nageswararao Kanchepu • Advances in systems analysis, software engineering, and high performance computing book series
(2024)
This chapter delves into the core principles of machine learning, offering practical insights for effective data processing. From foundational concepts to advanced techniques, the narrative unfolds as a comprehensive guide for harnessing th...
OPENALEX
DOI: https://doi.org/10.4018/979-8-3693-2909-2.ch002