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Academic Articles & Research Papers
Showing 20 of 127 academic articles
Fahad Ahmed Khokhar, Tommaso Zoppi, Luigi Cennini, Andrea Ceccarelli et al. • Scientific Reports
(2026)
Abstract The last decade has seen a surging opportunity for developing autonomous systems (e.g., fully autonomous driving, computer-guided robotic surgery, mobile robots for inspections and surveillance, and manufacturing robots) to relieve...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-45091-2
Matthias S. Treder • Frontiers in Neuroscience
(2020)
MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native implementations of a range of classifiers and regression models, using modern optimization algorithms. High-level functions allow for the multivaria...
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Open Access (DOAJ)
DOI: 10.3389/fnins.2020.00289
Zella King, Joseph Farrington, Martin Utley, Enoch Kung et al. • npj Digital Medicine
(2022)
Abstract Machine learning for hospital operations is under-studied. We present a prediction pipeline that uses live electronic health-records for patients in a UK teaching hospital’s emergency department (ED) to generate short-term, probabi...
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Open Access (DOAJ)
DOI: 10.1038/s41746-022-00649-y
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...
OPENALEX
DOI: https://doi.org/10.1515/9781683924937
Ana Beatriz Neves, Rodrigo Martins, Nuno Matela, Tiago Atalaia • Bioengineering
(2023)
From an early age, people are exposed to risk factors that can lead to musculoskeletal disorders like low back pain, neck pain and scoliosis. Medical screenings at an early age might minimize their incidence. The study intends to improve a ...
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Open Access (DOAJ)
DOI: 10.3390/bioengineering10101171
Adi Laurentiu Tarca, Vincent J. Carey, Xuewen Chen, Roberto J. Romero et al. • PLoS Computational Biology
(2007)
The term machine learning refers to a set of topics dealing with the creation and evaluation of algorithms that facilitate pattern recognition, classification, and prediction, based on models derived from existing data. Two facets of mechan...
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public-domain
DOI: https://doi.org/10.1371/journal.pcbi.0030116
PMC: 1904382
Eslam Abdelkreem, Sherif Hussein, Ashraf Tammam • Scientific Reports
(2026)
Abstract Vehicular Ad Hoc Networks (VANETs) are wireless networks established between vehicles and their surrounding infrastructure, enabling the exchange of information. Consequently, many applications that can enhance passengers’ safety a...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-39867-9
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
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...
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Open Access (DOAJ)
DOI: 10.1016/j.csbj.2024.05.040
Qingfeng Sun, Kai Zhang, Yuanlong Xu, Mengmei Luo et al. • BMC Infectious Diseases
(2025)
Abstract Background HIV/TB co-infection presents substantial public-health challenges, showing greater treatment-failure and mortality rates than tuberculosis alone. Recent advances in machine learning (ML) provide a robust means of identif...
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Open Access (DOAJ)
DOI: 10.1186/s12879-025-11998-w
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
John B. O. Mitchell • Wiley Interdisciplinary Reviews Computational Molecular Science
(2014)
Machine learning algorithms are generally developed in computer science or adjacent disciplines and find their way into chemical modeling by a process of diffusion. Though particular machine learning methods are popular in chemoinformatics ...
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cc-by
DOI: https://doi.org/10.1002/wcms.1183
PMC: 4180928
Fabrizio Sebastiani • ACM Computing Surveys
(2002)
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them...
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Open Access
DOI: https://doi.org/10.1145/505282.505283
Vinicius de Carvalho Rispoli, Alan Müller, Weverson Garcia Medeiros, Marília Miranda Forte Gomes et al. • Machine Learning and Knowledge Extraction
(2026)
Structured clinical variables may complement fundus photographs, but the most appropriate point at which to integrate them into a retinal foundation model remains uncertain. This study compares an image-only baseline with three strategies f...
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Open Access (DOAJ)
DOI: 10.3390/make8100299
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
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...
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Open Access (DOAJ)
DOI: doi:10.36001/ijphm.2018.v9i1.2693
Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors
(2022)
A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22239302
Yingtao Zhang, Wenhe Li, Yang Wu, Huili Wei • Applied Sciences
(2026)
The leakage detection of oil and gas is very important for the safe operation of pipelines. The existing working condition recognition methods have limitations in processing and capturing complex multi-category leakage signal characteristic...
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Open Access (DOAJ)
DOI: 10.3390/app16010480
Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon
(2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e28147
Héctor Cordobés, Antonio Fernández Anta, Luis F. Chiroque, Fernando Pérez et al. • International Journal of Interactive Multimedia and Artificial Intelligence
(2014)
Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) selected terms from the...
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Open Access (DOAJ)
DOI: 10.9781/ijimai.2014.254