Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation by Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Daniel Guerreiro e Silva

“…The rapid expansion of offshore wind energy requires effective monitoring to balance renewable energy development with environmental and marine spatial planning. …”
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DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery by Jie Li, Chengyong Zhu, Chenbo Yang, Quan Zheng, Binhui Wang, Jingmin Tu, Qian Zhang, Sheng Liu, Xinfa Wang, Jiangwei Qiao

“…This method can aid in the development of high-yield cultivars and improve crop monitoring through UAV-based technologies.…”
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MSFNet: A Multi-Source Fusion-Based Method with Enhanced Hierarchical Spectral Semantic Perception for Wheat Disease Region Classification by Wenxu Jia, Ziyang Guo, Wenjing Zhang, Haixi Zhang, Bin Liu

“…Furthermore, a hierarchical spectral semantic fusion module (HSSFM) was developed, which employs a pyramid architecture integrated with attention mechanisms to fuse hierarchical spectral semantics, thereby significantly enhancing the model’s hierarchical feature representation capacity. …”
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HRMS-SCD:A High-Resolution Multi-Scene Satellite Imagery Dataset for Comprehensive Land-Cover Semantic Change Detection by P. Guo, P. Guo, S. Yang, H. Zhang, X. Huang, X. Ning, Y. Han, R. Zhang, M. Hao

“…Semantic change detection (SCD) focuses on identifying changes in surface coverage while simultaneously classifying the types of changes. …”
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Use of Semantic Web Technologies to Enhance the Integration and Interoperability of Environmental Geospatial Data: A Framework Based on Ontology-Based Data Access by Sajith Ranatunga, Rune Strand Ødegård, Knut Jetlund, Erling Onstein

“…Geospatial data are important for decision-making in various domains, such as environmental monitoring, disaster management, and urban development. …”
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What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation by Saman Ebrahimi, Saurav Kumar

“…This study introduces two novel explainable AI frameworks, Interclass-Grad-CAM and Spectral-Grad-CAM, designed to enhance the interpretability of semantic segmentation models for Crop and Land Cover Land Use (CLCLU) mapping. …”
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Towards the 5th Industrial Revolution: A literature review and a framework for Process Optimization Based on Big Data Analytics and Semantics by Dimitris Mourtzis

“…Consequently, albeit engineers, currently can monitor the factory level, optimization is cut off of the data acquisition, and is based on data related methodologies. …”
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Semantic Segmentation of Sika Deer Antler Image by U-Net Based on Two-Dimensional Discrete Wavelet Transform Fusion and Multi-Attention Mechanism by Haotian Gong, Jinfan Wei, Yu Sun, Zhipeng Li, He Gong, Juanjuan Fan

“…At present, the monitoring technology of the growth status of sika deer antlers faces many challenges in a complex breeding environment (such as light change, object occlusion, etc.). …”
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Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

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Semantic Segmentation of Archaeological Features on Public Lands: Case Study of Historical Cotton Terraces within the Piedmont National Wildlife Refuge, Georgia, USA by Claudine Gravel-Miguel, Grant Snitker, Jayde N. Hirniak, Katherine Peck, Alex Fetterhoff

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Integration of theoretical and methodological developments in the field of sustainable development into regional management by Tatiana V. Alferova

“…Methodologically, the research relies on a combination of the systems, evolutionary, and functional approaches to the maintenance of regional systems’ sustainable development. The study applies the methods of analysis and synthesis, conceptual and functional modelling to build logical-semantic and descriptive models of scientific developments’ integration into regional management. …”
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An Automatic Ear Temperature Monitoring Method for Group-Housed Pigs Adopting Infrared Thermography by Changzhen Zhang, Xiaoping Wu, Deqin Xiao, Xude Zhang, Xiaopeng Lei, Sicong Lin

“…The goal of this study was to develop an automated monitoring system based on infrared thermography (IRT) for the detection of group-housed pig ears temperature. …”
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A Wrist Brace with Integrated Piezoelectric Sensors for Real-Time Biomechanical Monitoring in Weightlifting by Sofia Garcia, Ethan Ortega, Mohammad Alghamaz, Alwathiqbellah Ibrahim, En-Tze Chong

“…Experimental results revealed consistent voltage increases with both wrist angle and applied load, and regression analysis demonstrated strong linear or mildly nonlinear fits with high <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values (up to 0.994) across all conditions. …”
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Integration of OPC UA Information Models into Enterprise Knowledge Graphs by Arno Weiss, Steffen Ihlenfeldt

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Optimizing Deep Learning Models for Fire Detection, Classification, and Segmentation Using Satellite Images by Abdallah Waleed Ali, Sefer Kurnaz

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SPFDNet: Water Extraction Method Based on Spatial Partition and Feature Decoupling by Xuejun Cheng, Kuikui Han, Jian Xu, Guozhong Li, Xiao Xiao, Wengang Zhao, Xianjun Gao

“…To ensure that the water features are extracted with deep semantic features and stable spatial information before decoupling, we first design a chunked multi-scale feature aggregation module (CMFAM) to construct a context path for obtaining deep semantic information. …”
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Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…Amidst burgeoning socioeconomic development, anthropogenic activities have exacerbated soil erosion. …”
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Vocabulary Development of Junior Teens by L. V. Nikonova

“…The theoretical part of the research explores different word functions: nominal, communicative, text generating and semantic. The correlation between the mental development level and lexical semantic system formation is emphasized. …”
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Digital Twin-Based Framework for Real-Time Monitoring and Analysis of Urban Mobile-Source Emissions by Peter Zhivkov, Stefka Fidanova, Ivan Dimov

“…This study introduces a digital twin paradigm that uses both stationary and mobile sensors and cutting-edge machine learning for urban air quality monitoring. By boosting <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values from 0.29 to 0.87–0.95, our two-step calibration method increased the accuracy of low-cost PM sensors, showing the possibility of growing monitoring networks without sacrificing measurement accuracy. …”
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Encoding-Based Machine Learning Approach for Health Status Classification and Remote Monitoring of Cardiac Patients by Sohaib R. Awad, Faris S. Alghareb

“…The developed monitoring system receives various information about patients’ vital signs, and then it leverages a novel encoding-based machine learning algorithm to pre-process, analyze, and classify patient status. …”
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