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Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach

Daniel Jensen, Marc Simard, Kyle Cavanaugh, Yongwei Sheng et al. • Remote Sensing (2019)

The deposition of suspended sediment is an important process that helps wetlands accrete surface material and maintain elevation in the face of sea level rise. Optical remote sensing is often employed to map total suspended solids (TSS), th...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs11131629

An Interference Sensing Algorithm Based on Duration Units of Frequency Points for Adaptive Frequency-Hopping System

Duo Wang, Ju Wang, Yi Zhong • IEEE Access (2023)

The adaptive Frequency-Hopping(FH) technique based on interference sensing can further enhance the anti-interference performance of hybrid Direct-Sequence/FH Spread Spectrum(DS/FH SS) system and FH Orthogonal Frequency Division Multiplexing...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3325252

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access (2025)

To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530431

Effect of Heated Wall Corrugation on Thermal Performance in an L-Shaped Vented Cavity Crossed by Metal Foam Saturated with Copper–Water Nanofluid

Luma F. Ali, Hussein Togun, Abdellatif M. Sadeq • Computation (2025)

Practical applications such as solar power energy systems, electronic cooling, and the convective drying of vented enclosures require continuous developments to enhance fluid and heat flow. Numerous studies have investigated the enhancement...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation13090218

Active Disturbance Rejection for Linear Induction Motors: A High-Order Sliding-Mode-Observer-Based Twisting Controller

Yongwen Liu, Lei Zhang, Pu Li, Yaoli Xu • Actuators (2025)

This paper presents a twisting controller (TC) based on a high-order sliding mode observer (HOSMO) for linear induction motors (LIMs), accounting for dynamic end effects. Based on the LIM model in the field-oriented frame, two extended subs...

DOAJ Open Access (DOAJ) DOI: 10.3390/act14040200

A Novel Depression Rehabilitation Game Framework Using VR Based on Neurofeedback

CAI Hanshu,WANG Ziyang,ZHANG Yanhao,CHEN Yunfei,HU Bi • Jisuanji gongcheng (2018)

At present,depression is treated with antidepressant drugs and assisted with psychotherapy and physical therapy,and these expensive and time-consuming treatment methods often end prematurely and result in a prolonged course without effectiv...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0050904

Microstructure-based variational deep material networks for robust uncertainty quantification in materials digital twins

Andreas E. Robertson, Samuel B. Inman, Ashley T. Lenau, Ricardo A. Lebensohn et al. • npj Computational Materials (2026)

Abstract Aleatoric uncertainties – irremovable variability in microstructure morphology, constituent behavior, and processing conditions – pose a major challenge to developing uncertainty-robust digital twins. We introduce the Variational D...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-026-02054-5

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Ramona Schweitzer, Stephan Schlögl, Marco Schweitzer • European Journal of Investigation in Health, Psychology and Education (2024)

Non-communicable diseases are the leading cause of global deaths. The risk of their development and progression is increased by modifiable behavioral risk factors. Yet, despite the known benefits of primary and secondary prevention, people ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ejihpe14030039

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510