Development of a Practical Method to Estimate the Eco-Level of Driver Performance by Jianbin Zheng, Yiping Wu

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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…In this study, a signal processing method was established to use the structural response signals from an aeroelastic model to classify flutter signals via deep learning algorithm. …”
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A Rail Profile Measurement Method Based on Polarization Fusion Imaging by Qiang Han, Xinxin Zhao, Jing Shi, Shengchun Wang, Peng Dai, Ning Wang, Le Wang

“…A polarization image data fusion algorithm based on Segmented Random Sample Consensus (S-RANSAC) is designed using these images as data sources, and the optimal rail profile fitting curve is obtained. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Achieving precise predictions is crucial for enhancing structural reliability and optimizing resource usage in construction projects. …”
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A NEW METHOD TO ASSESS FUNCTIONAL ACTIVITY OF SERUM COMPLEMENT SYSTEM by E. G. Cheremnykh, P. A. Ivanov, M. I. Faktor, N. S. Karpova, E. F. Vasiljeva, K. V. Gusev, O. S. Brusov

“…The assay is based on cytolytic action of complement system upon the ciliate organism Tetrahymena pyriformis. This method consists in repeated counting of live Tetrahymena motile cells by means of specially developed Biolat device, which consists of two video cameras, light sources, and movable round plate. …”
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Assessment of air pollutants when burning alternative fuels by Olena Levytska, Artem Sikorsky

“…The aim of the work is to identify potential agricultural waste that can become energy sources, which will significantly reduce the cost of the operation of small and medium-sized boilers and provide cost savings for small and medium-sized businesses. …”
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Study of Renewable Potential of the Republic of Armenia for Implementation of Hybrid Autonomous Power Supply System Using Solar Photovoltaic Modules by N. R. Kostik, S. A. Tarasov, G. Ye. Ayvasyan

“…Ten additional variants of AHRESS were modeled in order to optimize the component base of the configuration.Conclusion. …”
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Defatting strategies for chia protein production: effects on physicochemical properties by Simon Dirr, Ozlem Ozmutlu Karslioglu, Elif Gokcen Ates, Mecit H. Oztop

“…This study provides actionable insights for optimizing plant-based protein ingredients by balancing extraction efficiency, functional performance, and sustainability goals across chia seed sources and processing technologies.…”
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Study of the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage production with different water supply sources (a case study: Qazvin Plain) by Ehsan Khodarezaie, Korous Khoshbakht, Hadi Veisi, Mohammad Reza Nazari

“…This paper evaluates the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage farms with two different water supply sources (well and canal) in Qazvin Plain.Material and methods: The data were collected through face-to-face interviews with farmers in the years 2018-2019. …”
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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. …”
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CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang

“…The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. Current deep learning (DL) methods mainly face challenges such as limited receptive fields and insufficient sensitivity to spatial locations when integrating multi-source remote sensing data, and high-quality datasets that integrate multi-spectral and geoscientific indicators to support them are scarce. …”
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The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha,... by Lingxuan Zhang, Sheng Jiao, Jie Lu

“…This study identified effective traditional indexes and developed a new index based on flood risk formation mechanisms, advancing landscape pattern research in flood risk management from a source-sink perspective. The findings offer an effective ecological approach for stormwater management and provide valuable insights for optimizing landscape spatial patterns. …”
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Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

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Potential of Natural Sheep Casings Waste as a Sole Nitrogen Source for the Marine Microalga <i>Scenedesmus rubescens</i> MDP19 Growth and Lipid Production by Sanaa Ouzakar, Nadia Skali Senhaji, Francesca Rigano, Cinzia Cafarella, Francesco Cacciola, Luigi Mondello, Jamal Abrini

“…The meat industry is one of the main sources of organic waste in the food processing sector. …”
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Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm by A. P. Sergushicheva, E. N. Davydova

“…Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm.Materials and methods. …”
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Comparative analysis of methods for seasonal particulate organic nitrate estimation in urban areas by Wenfei Zhu, Jialin Shi, Song Guo, Qinghong Wang, Jun Chen, Shengrong Lou, Min Hu

“…The factors associated with organic nitrate, as identified through two receptor methods, exhibited consistent daily patterns in spring, summer, and autumn, although source contributions varied. …”
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A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

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USE OF MONTE CARLO SIMULATIONS FOR OPTIMAL GEOMETRY STUDY IN CALCULATION OF ATTENUATION COEFFICIENT FOR ELEMENT, COMPOUND AND MIXTURE by Caroline Mattos Barbosa, Cesar Raitz, Roos Sophia de Freitas Dam, William Luna Salgado, Cesar Marques Salgado, Delson Braz

“…Several measurement geometries were tested with different radiation energies, and the best results were obtained using lead collimators on both detector and radiation source. The considered geometries were isotropic source without any collimation, isotropic source with detector and/or source collimation, and a point source collimated into a cone of directions. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…This study compares the effect of several feature selection methods, machine learning (ML) classifiers, and sources of radiomic features, on models’ performance for the diagnosis of clinically significant prostate cancer (csPCa) from bi-parametric MRI. …”
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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…A case study for a PLC targeting a Single Wire Earth Return (SWER) network coupling via a 5.1-nF Coupling Capacitor (CC) exemplifies the need for this research. The proposed method relies on the construction of an s-parameter cascade for the load, source, and matching circuit for the PLC application. …”
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