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Academic Articles & Research Papers
Showing 18 of 198 academic articles
Shivi Garg, Niyati Baliyan • Data in Brief
(2019)
The data in this article have been collaborated from mainly four sources- Google Playstore,11 Google Playstore https://play.google.com/store/apps. Wandoujia22 Wandoujia apps http://www.wandoujia.com/apps. (third party app store market), AMD...
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Open Access (DOAJ)
DOI: 10.1016/j.dib.2018.12.038
Feiyun Cui, Yun Yue, Yi Zhang, Ziming Zhang et al. • ACS Sensors
(2020)
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis. Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved impressive advances. However, novel advanced ML methods, es...
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DOI: https://doi.org/10.1021/acssensors.0c01424
Alexandre Abraham, Fabián Pedregosa, Michael Eickenberg, Philippe Gervais et al. • Frontiers in Neuroinformatics
(2014)
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series....
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DOI: https://doi.org/10.3389/fninf.2014.00014
PMC: 3930868
Sarah J. MacEachern, Nils D. Forkert • Genome
(2020)
Precision medicine is an emerging approach to clinical research and patient care that focuses on understanding and treating disease by integrating multi-modal or multi-omics data from an individual to make patient-tailored decisions. With t...
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Open Access
DOI: https://doi.org/10.1139/gen-2020-0131
Kevin P. Murphy (2012)
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict fu...
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Peter de B. Harrington (2012)
SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to bui...
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Inese Polaka, Danute Razuka-Ebela, Jin Young Park, Marcis Leja • BioData Mining
(2021)
Abstract Background The amount of available and potentially significant data describing study subjects is ever growing with the introduction and integration of different registries and data banks. The single specific attribute of these data...
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Open Access (DOAJ)
DOI: 10.1186/s13040-021-00271-w
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
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Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
• Choice Reviews Online
(1996)
Empirical research exploratory data analysis basic issues in experiment design hypothesis testing and estimation computer-intensive statistical methods performance assessment explaining performance - interactions and dependencies modelling ...
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DOI: https://doi.org/10.5860/choice.33-5144
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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DOI: https://doi.org/10.2139/ssrn.4831911
Mobayode O. Akinsolu, Khalil Zribi • Inventions
(2023)
In this paper, the growing significance of data analysis in manufacturing environments is exemplified through a review of relevant literature and a generic framework to aid the ease of adoption of regression-based supervised learning in man...
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Open Access (DOAJ)
DOI: 10.3390/inventions8010032
Ahmad Ahmad, Neily Zakiyah, Auliya A. Suwantika • Pharmacology and Clinical Pharmacy Research
(2025)
Diabetic retinopathy (DR) is a common complication of diabetes that damages retinal blood vessels and can lead to vision impairment. The application of Artificial Intelligence (AI) in DR screening offers a promising alternative to conventio...
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Open Access (DOAJ)
DOI: 10.15416/pcpr.v9i3.60068
Francesco Toscano, Costanza Fiorentino, Nicola Capece, Ugo Erra et al. • IEEE Access
(2024)
Digital Precision Agriculture (DPA) is a comprehensive approach to agronomic management that utilizes advanced technologies, such as sensor data analysis and automation, to optimize crop productivity, enhance farm income, and minimize envir...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3401018
Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics
(2024)
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...
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DOI: https://doi.org/10.1016/j.tig.2024.07.001
Itaru Kaneko, Junichiro Hayano, Emi Yuda • BMC Research Notes
(2023)
Abstract Objective A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it woul...
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Open Access (DOAJ)
DOI: 10.1186/s13104-022-06270-2
Xinyue Wang, Weifan Lin, Weiting Zhang, Yiwen Huang et al. • Applied Sciences
(2024)
In this paper, the Merkle-Transformer model is introduced as an innovative approach designed for financial data processing, which combines the data integrity verification mechanism of Merkle trees with the data processing capabilities of th...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14041386