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Academic Articles & Research Papers
Showing 20 of 529 academic articles
David John Lary, Amir H. Alavi, Amir H. Gandomi, Annette L. Walker • Geoscience Frontiers
(2015)
Learning incorporates a broad range of complex procedures. Machine learning (ML) is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of algorithms to learn from machine...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.gsf.2015.07.003
Oswald Campesato • De Gruyter eBooks
(2020)
This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fun...
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DOI: https://doi.org/10.1515/9781683924937
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar • The MIT Press eBooks
(2018)
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference fo...
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cc-by-nc-nd
DOI: https://doi.org/10.7551/mitpress/10290.001.0001
Musonera Abdou, Edouard Musabanganji, Herman Musahara • African Journal of Hospitality, Tourism and Leisure
(2022)
The purpose of the current study was to determine factors affecting tourism demand using machine learning techniques. The results of different linear regression and random forest models on both the train and test sets were compared using RM...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.46222/ajhtl.19770720.256
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40854-024-00666-8
Edoardo Bizzotto, Guido Zampieri, Laura Treu, Pasquale Filannino et al. • Computational and Structural Biotechnology Journal
(2024)
Bioactive peptides are short amino acid chains possessing biological activity and exerting physiological effects relevant to human health. Despite their therapeutic value, their identification remains a major problem, as it mainly relies on...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csbj.2024.05.040
Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz et al. (2013)
Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensiti...
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Open Access
DOI: https://doi.org/10.32614/cran.package.mlr
Fanny Monori, Alin Tisan • Sensors
(2026)
Odour recognition with low-cost gas sensors is challenging in open-air settings due to the non-specificity of the sensors and environmental variability. This can be mitigated by incorporating additional information into the classification p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s26082493
Nikolaos Sifakis, Antonios Kapenis, Athanasios Kolios, George Arampatzis • Energies
(2026)
Accurate, uncertainty-aware estimation of instantaneous wind turbine output is a prerequisite for integrating onshore assets into low-emission energy systems, where operational monitoring, energy-performance verification, and cooperative as...
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Open Access (DOAJ)
DOI: 10.3390/en19122897
Oqbah Salim Atiyah • Al-Kitab Journal for Pure Sciences
(2024)
Earthquakes are among the most dangerous natural disasters that can cause major losses to buildings and threaten human lives. The research community is very interested in the topic of earthquakes because they occur suddenly and predicting t...
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Open Access (DOAJ)
DOI: 10.32441/kjps.09.01.p1
Nathan A. Brooks, Ankur Puri, Sanya Garg, Swapnika Nag et al. • Scientific Reports
(2021)
Abstract Population-level data have suggested that bacille Calmette-Guerin (BCG) vaccination may lessen the severity of Coronavirus Disease-19 (COVID-19) prompting clinical trials in this area. Some reports have demonstrated conflicting res...
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Open Access (DOAJ)
DOI: 10.1038/s41598-020-80787-z
Musa Gün, Ahmet Akusta, Haydar Karadağ • İstanbul İktisat Dergisi
(2025)
This study aims to examine the impact of macro-financial indicators on the housing sales volume in Türkiye and evaluate the forecasting performance of traditional time-series models versus modern machine-learning algorithms. Using monthly d...
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Open Access (DOAJ)
DOI: 10.26650/ISTJECON2025-1707729
Anzar Abbas, Vijay Yadav, Emma Smith, Elizabeth Ramjas et al. • Digital Biomarkers
(2021)
Introduction: Motor abnormalities have been shown to be a distinct component of schizophrenia symptomatology. However, objective and scalable methods for assessment of motor functioning in schizophrenia are lacking. Advancements in machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1159/000512383
Brad Boehmke, Brandon Greenwell • Chapman & Hall/CRC eBooks
(2019)
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process a...
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DOI: https://doi.org/10.1201/9780367816377
Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences
(2026)
Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...
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Open Access (DOAJ)
DOI: 10.3390/app16189017
Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment
(2026)
Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...
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Open Access (DOAJ)
DOI: 10.3389/fbuil.2026.1829950
Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi et al. • Scientific Reports
(2025)
Abstract Regular inspection of the health of railway tracks is crucial to maintaining reliable and safe train operations. Some factors including cracks, rail discontinuity, ballast issues, burn wheels, super-elevation, loose nuts and bolts,...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-14763-w
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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Elisabeth Källström, Tomas Olsson, John Lindström, Lars Hakansson et al. • International Journal of Prognostics and Health Management
(2018)
In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machine in combination with feature extraction and classification...
DOAJ
Open Access (DOAJ)
DOI: doi:10.36001/ijphm.2018.v9i1.2693
Saiqing Chen, Chunxia Zhang, Yueting Yu • Frontiers in Cardiovascular Medicine
(2025)
BackgroundHeart failure (HF) represents the terminal phase of multiple cardiovascular conditions and is associated with significant morbidity and mortality rates. Arachidonic acid (AA), an essential fatty acid, plays a crucial role in modul...
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Open Access (DOAJ)
DOI: 10.3389/fcvm.2025.1625064