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Academic Articles & Research Papers
Showing 20 of 1,422 academic articles
Biprateep Dey, David Zhao, Brett H Andrews, Jeffrey A Newman et al. • Machine Learning: Science and Technology
(2025)
Key science questions, such as galaxy distance estimation and weather forecasting, often require knowing the full predictive distribution of a target variable Y given complex inputs X . Despite recent advances in machine learning and physic...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/ae1f05
Mario D. Molina, Filiz Garip • Annual Review of Sociology
(2019)
Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information and knowledge from data. Its applications increasingly find their way into economics, political science, and soci...
OPENALEX
Open Access
DOI: https://doi.org/10.1146/annurev-soc-073117-041106
Steven L. Brunton, Bernd R. Noack, Petros Koumoutsakos • Annual Review of Fluid Mechanics
(2019)
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniq...
OPENALEX
Open Access
DOI: https://doi.org/10.1146/annurev-fluid-010719-060214
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...
DOAJ
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbuil.2026.1829950
Ployrada Suvarnakuta, Intouch Prakaisak, Pittipol Kantavat, Boonserm Kijsirikul et al. • Engineered Science
(2025)
This study proposes a machine learning framework for predicting perceived urban quality of life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.30919/es1972
Meenakshi Sudarvizhi Seenipeyathevar, Prasath Palaniappan, Vijayakumar Arumugam, Vivek Sivakumar et al. • Engineering Reports
(2026)
ABSTRACT This study deals with an integrated experimental‐machine learning framework for wear estimation in functionally graded composites made from recycled magnesium machining chips, using low‐cost ceramic fibers as reinforcement with the...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/eng2.70686
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
Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access
(2023)
Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3271748
Ifiok Udoidiok, Fuhao Li, Jielun Zhang • Information
(2025)
Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17010009
S. Sra, S. Nowozin, Stephen J. Wright • The MIT Press eBooks
(2011)
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments ...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/8996.001.0001
Majid Riaz, Pedro Guerra, Raffaele Gravina • Sensors
(2025)
This paper introduces an innovative EEG sensor-based computational framework that establishes a pioneering nexus between personality trait quantification and neural dynamics, leveraging biosignal processing of brainwave activity to elucidat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25247634
Yixian Chen, Sofie De Geeter, Jean Poesen, Francis Matthews et al. • International Soil and Water Conservation Research
(2026)
Gully formation is a significant driver of soil erosion and land degradation worldwide and often leads to important downstream impacts. Nonetheless, our understanding of the global patterns and the factors controlling this process remains l...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswcr.2025.09.004
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Longhao Zhang, Hongzhen Cui, Xiaoyue Zhu, Guilong Zhang et al. • BMC Neurology
(2026)
Abstract Background Accurately assessing recovery in patients with prolonged disorders of consciousness (PDoC) is essential for evaluating the therapeutic efficacy and optimizing clinical care. However, substantial individual variability an...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12883-026-05183-y
Yujie You, Xin Lai, Yi Feng Pan, Huiru Zheng et al. • Signal Transduction and Targeted Therapy
(2022)
Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems ...
OPENALEX
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DOI: https://doi.org/10.1038/s41392-022-00994-0
PMC: 9090746
Shao-Feng Wang, Ke-Yi Liu, Yang Liu, Fei-Yang Zhao et al. • Scientific Reports
(2026)
Abstract Artificial intelligence technology, based on big data algorithms, can replace much of the repetitive and rule-based work. However, whether AI can substitute the roles of artists or designers in the art and design industry, which pr...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-51244-0
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
Julian Cendrero, Julio Gonzalo, Marcos Galletero, Ivar Zapata • IEEE Access
(2022)
A time-series of numerical data and a sequence of time-ordered documents are often correlated. This paper aims at modeling the impact that the underlying themes discussed in the text data have on the time series. To do so, we introduce an o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3202960
Yuchen Cao, Lan Hu, Laurent Kneip • Sensors
(2020)
Simultaneous Localisation And Mapping (SLAM) has long been recognised as a core problem to be solved within countless emerging mobile applications that require intelligent interaction or navigation in an environment. Classical solutions to ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20092572