Fine-Tuning-Based Transfer Learning for Building Extraction from Off-Nadir Remote Sensing Images by Bipul Neupane, Jagannath Aryal, Abbas Rajabifard

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Development of Multimodal Physical and Virtual Traffic Reality Simulation System by Ismet Goksad Erdagi, Slavica Gavric, Aleksandar Stevanovic

“…In the first, cyclists showed a significant rightward lane shift (from 0.94 m to 1.14 m, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.00001</mn></mrow></semantics></math></inline-formula>) and elevated heart rates (69.45 to 72.75 bpm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.00001</mn></mrow></semantics></math></inline-formula>) in response to overtaking vehicles. …”
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Structuring Multidimensional Data in the Study of the Development of Information Society in Russian Regions by N. M. Gabdullin, I. A. Kirshin

“…Then, we showed that the identified factor loads have specific semantic interpretations that consolidate the links of individual factors of ICT use for the development of the information society in the Russian Federation. …”
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SBDNet: A Scale and Edge Guided Bidecoding Network for Land Parcel Extraction by Wei Wu, Yapeng Liu, Lixin Tang, Haiping Yang, Liao Yang, Jin Li, Chen Zuohui

“…Remote sensing-based agricultural land parcel extraction is important for managing agricultural production, monitoring farmland utilization, and supporting agricultural development planning. …”
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High-Sensitivity Electrical Admittance Sensor with Regression Analysis for Measuring Mixed Electrolyte Concentrations by Chun-Chi Chen, Chih-Hung Hung, Han-Xiang Zhu, Ji-Zun Chen

“…The test results demonstrate that the device can detect subtle concentration variations, with a precision as low as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.5</mn><mspace width="1.66656pt"></mspace></mrow></semantics></math></inline-formula> mM. …”
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Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series by Jonas Ziemer, Jannik Jänichen, Gideon Stein, Natascha Liedel, Carolin Wicker, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois

“…Combining TSX and S-1 datasets enhances monitoring capabilities by leveraging the high spatial resolution of TSX with the broad coverage of S-1. …”
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Enhancing Water Bodies Detection in the Highland and Coastal Zones Through Multisensor Spectral Data Fusion and Deep Learning by Xiaofei Han, Nazih Y. Rebouh, Yasmeen Ahmed, Muhammad Nasar Ahmad, Zainab Tahir, Yahia Said, Ishfaq Gujree

“…Accurate mapping of inland and coastal water bodies is crucial for monitoring environmental changes, managing hydrological resources, and assessing the impacts of climatic variability. …”
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UPE-Net: A Spatial Information Enhanced Network for Ulva Prolifera Extraction From GF-1 WFV Images by Hui Sheng, Manman Jia, Shiqing Wei, Lie Sun, Mingming Xu, Shanwei Liu, Jianhua Wan

“…Deep learning-based Ulva prolifera disaster monitoring has gradually become a research hotspot. …”
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Leaf Area Estimation in High-Wire Tomato Cultivation Using Plant Body Scanning by Hiroki Naito, Tokihiro Fukatsu, Kota Shimomoto, Fumiki Hosoi, Tomohiko Ota

“…Accurate estimation of the leaf area index (LAI), a key indicator of canopy development and light interception, is essential for improving productivity in greenhouse tomato cultivation. …”
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Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment by Rory P. Turnbull, Jenny Corser, Giorgio Orlando, Prabhuraj D. Venkatraman, Irantzu Yoldi, Kathrine Bradbury, Neil D. Reeves, Peter Culmer

“…A lead concept using a conductive adhesive was selected for further development. The method was developed using a Lycra sample, before being translated onto a knitted ‘sock’ substrate. …”
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A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

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Investigation of 3D Printed Self-Sensing UHPC Composites Using Graphite and Hybrid Carbon Microfibers by Han Liu, Simon Laflamme, Bin Cai, Ping Lyu, Sri Sritharan, Kejin Wang

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Deep Learning-Based Real-Time Surf Detection Model During Typhoon Events by Yucheng Shi, Guangjun Xu, Yuli Liu, Hongxia Chen, Shuyi Zhou, Jinxiang Yang, Changming Dong, Zhixia Lin, Jialun Wu

“…Video-based monitoring offers promising potential for continuous surf observation, yet the development of deep learning models for surf detection remains underexplored, primarily due to the lack of high-quality training datasets from typhoon events. …”
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RFID Sensor with Integrated Energy Harvesting for Wireless Measurement of dc Magnetic Fields by Shijie Fu, Greg E. Bridges, Behzad Kordi

“…High-voltage direct-current (HVdc) transmission lines are gaining more attention as an integral part of modern power system networks. Monitoring the dc current is important for metering and the development of dynamic line rating control schemes. …”
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Combined L-Band Polarimetric SAR and GPR Data to Develop Models for Leak Detection in the Water Pipeline Networks by Yuyao Zhang, Hongliang Guan, Fuzhou Duan

“…This will provide a new avenue for the monitoring and treatment of water pipeline leaks.…”
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Identification of NAPL Contamination Occurrence States in Low-Permeability Sites Using UNet Segmentation and Electrical Resistivity Tomography by Mengwen Gao, Yu Xiao, Xiaolei Zhang

“…Taking an industrial site in Shanghai as the research object, we collected apparent resistivity data using the WGMD-9 system, obtained resistivity profiles through inversion imaging, and constructed training sets by generating contamination labels via K-means clustering. A semantic segmentation model with skip connections and multi-scale feature fusion was developed based on the UNet architecture to achieve automatic identification of contaminated areas. …”
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Cross‐cultural adaption of the computerized assessment of information processing battery (COGNITO) for an Indian longitudinal study on rural elderly by Ammu Lukose, Rahul Kodihalli Venkatesh, Mino Susan Joseph, Palanimuthu T. Sivakumar, Girish N. Rao, Bangalore N. Gangadhar, Karen Ritchie, Aditi Balakrishnan, Vijayalakshmi Ravindranath, Naren P. Rao

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Selected methods of pathological speech signal analysis by W. WSZOŁEK

“…Possessing such a scalar measurement, of the considered signal deformation degree, enables to monitor the illness process development or remission, which has a key importance in the current monitoring of the therapy effects or/and many illnesses rehabilitation. …”
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RTDETR-MARD: A Multi-Scale Adaptive Real-Time Framework for Floating Waste Detection in Aquatic Environments by Baoshan Sun, Haolin Tang, Liqing Gao, Kaiyu Bi, Jiabao Wen

“…First, our hierarchical multi-scale feature integration leverages the gather-and-distribute mechanism to enhance feature aggregation and cross-layer interaction. Second, we develop an advanced feature fusion module incorporating feature alignment, Information Fusion, information injection, and Scale Sequence Feature Fusion components to ensure precise spatial alignment and semantic consistency. …”
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Multisensor Data Fusion for Coastal Boundary Detection by Res-U-Net Implementation Using High-Resolution UAV Imagery by Qin Wang, Nyasha J. Kavhiza, Fakhrul Islam, Ilyas Ahmad Huqqani, Mohsin Abbas, Sanjoy Barman

“…This work utilizes high-resolution UAV data to develop a deep learning framework based on a Residual U-Net architecture for shoreline semantic segmentation. …”
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