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Academic Articles & Research Papers
Showing 20 of 563 academic articles
Rene Y Choi, Aaron S. Coyner, Jayashree Kalpathy–Cramer, Michael F Chiang et al. • PubMed Central
(2020)
Purpose: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. Methods: A systematic literature search in PubMed was ...
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DOI: https://doi.org/10.1167/tvst.9.2.14
PMC: 7347027
Jiaoling Qin, Jiaoling Qin, Sunzhe Li, Sunzhe Li et al. • Frontiers in Marine Science
(2023)
Accurately monitoring and predicting the large-scale dynamic changes of water levels in coastal zones is essential for its protection, restoration and sustainable development. However, there has been a challenge for achieving this goal usin...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmars.2022.1113387
Qifang Bi, Katherine E Goodman, Joshua Kaminsky, Justin Lessler • American Journal of Epidemiology
(2019)
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well...
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DOI: https://doi.org/10.1093/aje/kwz189
El‐Ghazali Talbi • ACM Computing Surveys
(2021)
During the past few years, research in applying machine learning (ML) to design efficient, effective, and robust metaheuristics has become increasingly popular. Many of those machine learning-supported metaheuristics have generated high-qua...
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Open Access
DOI: https://doi.org/10.1145/3459664
Ziyi Yin, Guowei Huang, Rui Zhao, Sen Wang et al. • Financial Innovation
(2024)
Abstract Crowdfunding has become important in increasing financial support for the development of green technologies. Self-disclosed information significantly affects supporters’ decisions and is important for the success of green project f...
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Open Access (DOAJ)
DOI: 10.1186/s40854-024-00666-8
Subhabrata Sengupta, Rupayan Das, Satyajit Chakrabarti • Emitter: International Journal of Engineering Technology
(2024)
Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, iden...
DOAJ
Open Access (DOAJ)
DOI: 10.24003/emitter.v12i2.855
Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Grigori Yourganov et al. • IEEE Signal Processing Magazine
(2010)
This article will discuss very different ways of using machine learning that may be less familiar, and we will demonstrate through examples the role of these concepts in medical imaging. Although the term machine learning is relatively rece...
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Open Access
DOI: https://doi.org/10.1109/msp.2010.936730
PMC: 4220564
Sebastian Raschka, Joshua M. Patterson, Corey Nolet • Information
(2020)
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the...
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DOI: https://doi.org/10.3390/info11040193
Jian Liu, Fangyu Liu, Linbing Wang • Journal of Traffic and Transportation Engineering (English ed. Online)
(2024)
The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO2 emissions during pavement construction and maintenance. Additionally, the laboratory mix design process, whic...
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Open Access (DOAJ)
DOI: 10.1016/j.jtte.2023.10.002
• Series in machine perception and artificial intelligence
(2019)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...
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DOI: https://doi.org/10.1142/9789811201967_0001
Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saito, Yoichi Kurumida et al. • mAbs
(2023)
Despite the advances in surface-display systems for directed evolution, variants with high affinity are not always enriched due to undesirable biases that increase target-unrelated variants during biopanning. Here, our goal was to design a ...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/19420862.2023.2168470
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam et al. • Nature Communications
(2020)
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation proces...
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DOI: https://doi.org/10.1038/s41467-019-14108-y
PMC: 6957485
Tetiana Madryha, Olena Berezovska-Chmil, Yuliia Kobets, Valerii Bortnikov et al. • Ius Humani
(2025)
The analysis focuses on how anti-corruption rules ensure both national security and support it during times of war when corruption endangers stability. Our study checks if existing anti-corruption rules and institution systems help protect ...
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Open Access (DOAJ)
DOI: 10.31207/ih.v14i1.415
Lucy A. Suchman, Randall H. Trigg • Cambridge University Press eBooks
(1993)
There are two ways in which the visualization processes we are all interested in may be ignored; one is to grant to the scientific mind what should be granted to the hands, to the eyes and to the signs; the other is to focus exclusively on ...
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DOI: https://doi.org/10.1017/cbo9780511625510.007
O. V. Manzhai, А. О. Потильчак • Law and Safety
(2020)
In this paper tools, organization and tactics of crime mapping are analyzed. The directions of application of mapping for maintenance of public safety and order, in criminal intelligence process, etc. are outlined. The domestic experience o...
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Open Access (DOAJ)
DOI: 10.32631/pb.2020.4.10
B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance
(2026)
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...
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Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Tshilidzi Marwala, Bo Xing • arXiv (Cornell University)
(2018)
It is undeniable that artificial intelligence (AI) and blockchain concepts are spreading at a phenomenal rate. Both technologies have distinct degree of technological complexity and multi-dimensional business implications. However, a common...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1802.04451
O. V. Firsanova, S. V. Brovchak, V. V. Kulebyakin • Ученые записки Российской академии предпринимательства
(2023)
The digital transformation of modern economic life has found its reflection in the field of marketing communications, having formed a virtually new form of communication between market entities-digital. A distinctive feature of this form is...
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Open Access (DOAJ)
DOI: 10.24182/2073-6258-2023-22-2-132-139
Ling Zhu, Xinrui Shi, Zihao Song, Zhihao Qin et al. • iNew Medicine
(2026)
ABSTRACT Flexible sensors enable the continuous, real‐time monitoring of the physiological and movement signals of patients, providing data support for precise rehabilitation strategies and playing a crucial role in rehabilitation medicine....
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Open Access (DOAJ)
DOI: 10.1002/inm3.70004
David C. Parkes, Michael P. Wellman • Science
(2015)
The field of artificial intelligence (AI) strives to build rational agents capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economic...
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Open Access
DOI: https://doi.org/10.1126/science.aaa8403