A Hybrid, Non‐Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change by Zach Brodeur, Sungwook Wi, Ghazal Shabestanipour, Jon Lamontagne, Scott Steinschneider

“…We then force both models with climate change impacted meteorology and investigate changes to the error distribution between the models. We develop a hybrid machine learning method that maps model state variables to predictive errors, allowing for non‐stationary error distributions based on changes in the frequency of model states. …”
Get full text

MSJosSAR Configuration Optimization and Scattering Mechanism Classification Based on Multi-Dimensional Features of Attribute Scattering Centers by Shuo Liu, Fubo Zhang, Longyong Chen, Minan Shi, Tao Jiang, Yuhui Lei

“…Additionally, we propose a feature extraction and classification method for scattering centers across frequency and angle-polarization dimensions, and validate its effectiveness through electromagnetic simulation experiments. …”
Get full text

Coupling of fatigue crack growth and crack nucleation fatigue approach for non-crystallising rubber under fully relaxing uniaxial loading with multiaxial stress–strain state of 3D... by Tadej Kocjan, Marko Nagode, Jernej Klemenc, Simon Oman

“…As is common in fatigue testing, the tests were performed at variable frequencies depending on the magnitude of the load and the limits of the testing machine. …”
Get full text

Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

Get full text

An Improved SOGI-Higher-Order Sliding Mode Observer-Based Induction Motor Speed Estimation by Enyam Kobena Badu, Effah Francis Boafo, Hammond Desmond

Get full text

Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity by U. A. Vishniakou, Xia Yiwei

“…The urgency of the task is associated with the need for early diagnosis of the disease. A method of complex recognition of Parkinson's disease using machine learning is proposed, based on markers of voice analysis and changes in the patient's movements on known data sets.Methods. …”
Get full text

Peak Shaving Strategy in the Context of the Charging Process of a Battery Energy Storage System in the Railway Microgrid by Piotr Obrycki, Krzysztof Perlicki, Marek Stawowy

Get full text

State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…Additionally, the review covers frequency-domain methods like Frequency Domain Decomposition (FDD) and Enhanced Frequency Domain Decomposition (EFDD), highlighting their application in spectral analysis and modal parameter extraction. …”
Get full text

A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature by Jun Ma, Jingping Guo, Jingan Wu, Huanfeng Shen

“…By depicting high-frequency surface thermal dynamics, hourly gapless land surface temperature (LST) data at a moderate spatial scale are crucial for various thermal environment investigations. …”
Get full text

Statistical analysis of technical specifications of self-propelled reversible plate compactors with different types of engines by M. A. Afanasev, I. S. Tyuremnov

“…Reversible plate compactors are soil compaction machines with a flat operating device, having two or more unbalanced shafts and ability to reverse the direction and movement speed. …”
Get full text

Statistical analysis of technical specifications for non-reversible plate vibrators with different types of engines by M. A. Afanasev, I. S. Tyuremnov

“…When designing and modernizing forward plate compactors, a problem of technical specifications justification may arise, including such parameters as exciting force, vibration exciter oscillation frequency, engine power, base plate width, etc. This statistical analysis of plate compactors with different types of engines was carried out to summarize manufacturers practices and reveal correlations between the technical specifications of forward plate compactors.Materials and methods. …”
Get full text

Effect of longitudinal-angular oscillations of the harvester-thresher separator on smooth motion of the reaper by Leonid M. Groshev, Svetlana A Partko, Andrey N. Sirotenko

“…Taking into account the mass-geometric and elastic-dissipative characteristics, the amplitude and frequency spectra of the oscillations of the domestic machines of the agroindustrial complex are determined. …”
Get full text

How do residents perceive urban parks? A cross-geographic comparison based on online reviews by Lijuan Yang, Qiuhong Wu

Get full text

Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

Get full text

Hybrid POF-VLC Systems: Recent Advances, Challenges, Opportunities, and Future Directions by Rola Abdallah, Mohamed Atef, Nasir Saeed

“…We review advanced modulation techniques like Orthogonal Frequency Division Multiplexing (OFDM) and Discrete Multitone Modulation (DMT), alongside traditional methods like Non-Return-to-Zero (NRZ) and On-Off Keying (OOK), evaluating their effectiveness in overcoming these challenges. …”
Get full text

An Ensemble Deep CNN Approach for Power Quality Disturbance Classification: A Technological Route Towards Smart Cities Using Image-Based Transfer by Mirza Ateeq Ahmed Baig, Naeem Iqbal Ratyal, Adil Amin, Umar Jamil, Sheroze Liaquat, Haris M. Khalid, Muhammad Fahad Zia

“…Conventionally, power quality monitoring relies on trivial machine learning classifiers or signal processing methods. …”
Get full text

Neuroimaging and biological markers of different paretic hand outcomes after stroke by Zhujun Wang, Manxu Zheng, Binke Yuan, Yingteng Zhang, Wenjun Hong, Chaozheng Tang, Wen Wu

“…Four rs-fMRI metrics were analyzed, including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), degree centrality (DC), and voxel-mirrored homotopic connectivity (VMHC). …”
Get full text

Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT by Matyas Lukacs, Fruzsina Toth, Roland Horvath, Gyula Solymos, Boglárka Alpár, Peter Varga, Istvan Kertesz, Zoltan Gillay, Laszlo Baranyai, Jozsef Felfoldi, Quang D. Nguyen, Zoltan Kovacs, Laszlo Friedrich

“…The system combines non-destructive, rapid quality assessment methods, such as near infrared spectroscopy (NIRS) and computer/machine vision (CV/MV), with track and tracing functionalities revolving around the Internet of Things (IoT) and radio frequency identification (RFID). …”
Get full text

Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary dis... by Zheng Liu, Jing Li, Bo Li, Guozhen Yi, Shaoqian Pang, Ruinan Zhang, Peixiu Li, Zhaoping Yin, Jing Zhang, Bingxin Lv, Jingjing Yan, Jiao Ma

“…The efficacy of the model was evaluated through support vector machine (SVM) and random forest regression approaches. …”
Get full text

Multi-omics identification of a polyamine metabolism related signature for hepatocellular carcinoma and revealing tumor microenvironment characteristics by Yuexi Yu, Huiru Liu, Kaipeng Liu, Meiqi Zhao, Yiyan Zhang, Runci Jiang, Fengmei Wang

“…However, the precise role of polyamine metabolism in hepatocellular carcinoma (HCC) remains poorly understood.MethodsWe conducted differential expression analysis on bulk RNA sequencing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) to identify 65 polyamine metabolism-related genes. …”
Get full text