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Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU

Wei Liu, Zihui Lin, Yuan Hu, Aodong Tian et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction. While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from po...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2024.3470222

[Mathematical models of hysteresis]

I.D. Mayergoyz (1991)

The research described in this proposal is currently being supported by the US Department of Energy under the contract Mathematical Models of Hysteresis''. Thus, before discussing the proposed research in detail, it is worthwhile to describ...

OPENALEX Open Access DOI: https://doi.org/10.2172/6911694

An adaptive cruise control system for autonomous vehicles using PRDC–CoROA-based hybrid optimization

M. Sivaramkrishnan, M. Siva Ramkumar, Kiruthika Balakrishnan, J. Isaac JoshuaRamesh Lalvani • Scientific Reports (2026)

Abstract An adaptive cruise control (ACC) system has a key role to play in enhancing the safety and stability of autonomous vehicles, along with ensuring improved ride quality through proper management of vehicle velocity and distance betwe...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-69261-4

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

Modulation of frontal gamma oscillations improves working memory in schizophrenia

Fiza Singh, I-Wei Shu, Sheng-Hsiou Hsu, Peter Link et al. • NeuroImage: Clinical (2020)

Schizophrenia is a debilitating mental disorder that is associated with cognitive deficits. Impairments in cognition occur early in the course of illness and are associated with poor functional outcome, but have been difficult to treat with...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2020.102339

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi (2024)

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18678/dtfd.1410276

Research in medical informatics

Sameem Abdul Kareem, Sapiyan Baba, Muaz Wahid • Health Informatics Journal (2000)

Medical informatics is concerned with the application of computers in the medical and biological sciences and has been considered a field of research in its own right for more than twenty years. In Malaysia, however, there are very few publ...

OPENALEX Open Access DOI: https://doi.org/10.1177/146045820000600209

ODE, regression, and ANN models for energy forecasting: Egypt as a study case

Mohey Eldeen H. H. Ali, Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy • Alexandria Engineering Journal (2025)

Energy plays a crucial role in national development, influencing critical sectors such as industry, agriculture, healthcare, and education. Accurate energy consumption prediction is essential for efficient energy management, helping prevent...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2025.04.037

Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study

Felicia A. Hardi, Leigh G. Goetschius, Scott Tillem, Vonnie McLoyd et al. • Developmental Cognitive Neuroscience (2023)

Unstable and unpredictable environments are linked to risk for psychopathology, but the underlying neural mechanisms that explain how instability relate to subsequent mental health concerns remain unclear. In particular, few studies have fo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dcn.2023.101253

The Neuroscience of Language

Friedemann Pulvermüller A • Cambridge University Press eBooks (2003)

How is language organized in the human brain? The Neuroscience of Language, published in 2003, puts forth a systematic model of language to bridge the gap between linguistics and neuroscience. Neuronal models of word and serial order proces...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511615528

RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer

Jiaquan Wan, Junchao Wang, Wei Zhang, Hao Song et al. • Journal of Hydrology: Regional Studies (2025)

Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102703

Effect of chemical treatment on the mechanical and thermal performance of flax fiber reinforced aluminium 6082 laminate: a machine learning-enhanced investigation

M. Vinod, B. S. Nithyananda, Shrishail B. Sollapur, Satish Gajbhiv et al. • Scientific Reports (2026)

Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-58852-w