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The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits

Kyoung-Mi Jang, Myung-Sun Kim, Do-Won Kim • Frontiers in Human Neuroscience (2020)

This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level act...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2020.580813

Connectomic insights into the impact of 1p/19q co-deletion in dominant hemisphere insular glioma patients

Zuo-cheng Yang, Bo-wen Xue, Xin-yu Song, Chuan-dong Yin et al. • Frontiers in Neuroscience (2024)

ObjectivesThis study aimed to elucidate the influences of 1p/19q co-deletion on structural connectivity alterations in patients with dominant hemisphere insular diffuse gliomas.MethodsWe incorporated 32 cases of left insular gliomas and 20 ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnins.2024.1283518

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Maria Grazia Puxeddu, Maria Grazia Puxeddu, Manuela Petti, Manuela Petti et al. • Frontiers in Systems Neuroscience (2021)

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnsys.2021.624183

Monthly Evapotranspiration Modeling in the Absence of Climatic Data Using the Soft Computing Methods in West and Northwest of Iran

Saman Maroufpour, Eisa Maroufpoor, Hadi Sanikhani • مهندسی منابع آب (2017)

Evapotranspiration (ET0), a major component of the hydrologic cycle, is important in water resources development and irrigation planning. The ET0 for west and northwest of Iran was estimated using the FAO Penman-Montieth method (FAO-56) as ...

DOAJ Open Access (DOAJ)

A Comprehensive Survey on Community Detection With Deep Learning

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu et al. • IEEE Transactions on Neural Networks and Learning Systems (2022)

Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other communities. The ability to do this is of great significance in network analysis...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnnls.2021.3137396

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Prot Piyakawanich, Pattarapong Phasukkit • Drones (2024)

In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8120718

Data Mining and Machine Learning

Mohammed Javeed Zaki, Wagner Meira • Cambridge University Press eBooks (2020)

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business an...

OPENALEX DOI: https://doi.org/10.1017/9781108564175

A machine learning and clustering-based approach for county-level COVID-19 analysis.

Charles Nicholson, Lex Beattie, Matthew Beattie, Talayeh Razzaghi et al. • PLoS ONE (2022)

COVID-19 is a global pandemic threatening the lives and livelihood of millions of people across the world. Due to its novelty and quick spread, scientists have had difficulty in creating accurate forecasts for this disease. In part, this is...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0267558

Integrative multiomics analysis of platelet-related genes unveils molecular subtypes and prognostic signatures in acute myeloid leukemia

Fangmin Zhong, Fangyi Yao, Zihao Wang, Bo Huang et al. • npj Precision Oncology (2025)

Abstract Acute myeloid leukemia (AML) remains challenging due to molecular heterogeneity and limited prognostic models integrating tumor microenvironment dynamics. While thrombocytopenia correlates with poor outcomes, the roles of platelet-...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41698-025-01137-8

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease

Clara Muñoz-Castro, Ayush Noori, Colin G. Magdamo, Zhaozhi Li et al. • Journal of Neuroinflammation (2022)

Abstract Background Astrocytes and microglia react to Aβ plaques, neurofibrillary tangles, and neurodegeneration in the Alzheimer’s disease (AD) brain. Single-nuclei and single-cell RNA-seq have revealed multiple states or subpopulations of...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12974-022-02383-4

Proactive caching in cloud and D2D assisted multi-tier cellular networks

Ayaz Ahmad, Fawad Ahmad, Muhammad Suleman Khan, Adel Aldalbahi • PeerJ Computer Science (2026)

Proactive caching in multi-tier cellular networks (MTCNs) is an efficient technique for alleviating heavy data traffic on backhaul links, thereby reducing content latency and increasing the overall cache hit ratio (CHR) and user satisfactio...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.4004

Introduction to Machine Learning

Yves Kodratoff • CERN Document Server (European Organization for Nuclear Research) (1988)

1 Why Machine Learning and AI: The Contributions of AI to Learning Techniques 2 Theoretical Foundations for Machine Learning 3 Representation of Complex Knowledge by Clauses 4 Representation of Knowledge about Actions and the Addition of Ne...

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Evaluation of the indirect tensile strength (ITS) of cement-treated clayey soils using XGBoost prediction model

Van-Ngoc Pham, Huu-Dao Do, Thi Phuong Khue Nguyen, Van-Khanh Tran et al. • Tạp chí Khoa học và Công nghệ (2026)

This study develops a data-driven framework using Extreme Gradient Boosting (XGBoost) to predict the Indirect Tensile Strength (ITS) of cement-treated clayey soils. Using 180 specimens with five input variables - cement content, curing time...

DOAJ Open Access (DOAJ) DOI: 10.31130/ud-jst.2026.24(7B).582E

Machine Learning with TensorFlow

Nishant Shukla • CERN Document Server (European Organization for Nuclear Research) (2018)

Summary Machine Learning with Tensor Flow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding Tensor Flow with Python. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub forma...

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Machine learning in pain research

Jörn Lötsch, Alfred Ultsch • Pain (2017)

1. Introduction Pain and pain chronification are incompletely understood and unresolved medical problems that continue to have a high prevalence.14 It has been accepted that pain is a complex phenomenon.2,32,72 Contemporary methods of compu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1097/j.pain.0000000000001118 PMC: 5895117

Machine Learning

Yagang Zhang • InTech eBooks (2010)

Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large...

OPENALEX Open Access DOI: https://doi.org/10.5772/217

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding et al. • BioData Mining (2024)

Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13040-024-00369-x

Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling

Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong et al. • Land (2025)

Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies stru...

DOAJ Open Access (DOAJ) DOI: 10.3390/land14050932

Multidimensional Correlates of Childhood Stunting in India: A Spatial Machine Learning and Explainable AI Approach

Bhagyajyothi Rao, Md Gulzarull Hasan, Bandhavya Putturaya, Asha Kamath et al. • Stats (2026)

Childhood stunting remains a major public health challenge in India and is influenced by multiple socioeconomic and environmental factors. This ecological study examined district-level correlates of childhood stunting, including Crimes Agai...

DOAJ Open Access (DOAJ) DOI: 10.3390/stats9020034