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Academic Articles & Research Papers
Showing 19 of 159 academic articles
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...
DOAJ
Open Access (DOAJ)
DOI: 10.32441/kjps.09.01.p1
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
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
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...
OPENALEX
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
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
Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki • Scientific Reports
(2024)
Abstract Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasiv...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-73898-4
PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences
(2025)
Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...
DOAJ
Open Access (DOAJ)
DOI: 10.46481/jnsps.2025.2273
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee • Cancers
(2022)
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stra...
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DOI: https://doi.org/10.3390/cancers14061524
PMC: 8946688
Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World
(2025)
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/world6040143
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology
(2025)
Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...
DOAJ
Open Access (DOAJ)
DOI: 10.4081/cardio.2025.73
Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence
(2026)
Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2026.1910842
T. Anitha Kumari, Sanket Mishra • Egyptian Informatics Journal
(2024)
The integration of sensors in the monitoring of essential bodily measurements, air quality, and energy consumption in buildings demonstrates the importance of the Internet of Things (IoT) in everyday life. These security breaches are caused...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eij.2024.100520
Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle
(2024)
Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/jcsm.13527
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13104-022-06270-2
Tala Talaei Khoei, Naima Kaabouch • Information
(2023)
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info14020103
Selin Erel, Aslıhan G. Kılıç • Saudi Journal of Anaesthesia
(2025)
Background:
Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/sja.sja_164_25