Development of expert systems of ecological monitoring of Republic of Daghestan with use of adaptive semantic models by N. O. Guseinova, T. Sh. Shihnabieva, N. M. Bulaeva

“…Development of expert systems is necessary for realization of effective ecological monitoring an environment. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…The method allows monitoring ecosystems, including aquatic ones. Algorithms that maintain the quality of semantic segmentation of ERS images are in demand, specifically, to identify areas with phytoplankton, where water blooms— the cause of suffocation — are possible. …”
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Gran canaria vegetation segmentation dataset from multi-year aerial imagery for environmental monitoring and conservationZenodo by José Salas-Cáceres, Riccardo Balia, Marcos Salas-Pascual, Javier Lorenzo-Navarro, Modesto Castrillón-Santana

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Urban Sprawl Monitoring by VHR Images Using Active Contour Loss and Improved U-Net with Mix Transformer Encoders by Miguel Chicchon, Francesca Colosi, Eva Savina Malinverni, Francisco James León Trujillo

“…Utilizing this approach for monitoring urban expansion over time can enable managers to make informed decisions aimed at preserving cultural heritage and promoting sustainable urban development.…”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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Development of Low-Cost Monitoring and Assessment System for Cycle Paths Based on Raspberry Pi Technology by Salvatore Bruno, Ionut Daniel Trifan, Lorenzo Vita, Giuseppe Loprencipe

“…This involves regular inspections of the road surface, but there are currently no automated systems for monitoring cycle paths. In this study, an integrated monitoring and assessment system for cycle paths was developed exploiting Raspberry Pi technologies. …”
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A survey on underwater coral image segmentation based on deep learning by Ming Li, Hanqi Zhang, Armin Gruen, Deren Li

“…By accomplishing these objectives, we hope to advance research in underwater coral image segmentation and support the development of effective monitoring and conservation strategies for coral reef ecosystems.…”
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UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

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Research of problems and prospects of development of public control in the information and communication space by D. A. Okolyshev

“…Based on the research conducted, a model of public control has been developed and tested in relation to the results of monitoring the provision of quality education. …”
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Agricultural Greenhouse Extraction Based on Multi-Scale Feature Fusion and GF-2 Remote Sensing Imagery by Yuguang Chang, Xiaoyu Yu, Xu Yang, Zhengchao Chen, Pan Chen, Xuan Yang, Yongqing Bai

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Semantic segmentation of underwater images based on the improved SegFormer by Bowei Chen, Bowei Chen, Wei Zhao, Wei Zhao, Qiusheng Zhang, Mingliang Li, Mingyang Qi, You Tang, You Tang, You Tang

“…Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of the underwater environment, improving model accuracy remains a key challenge in underwater image segmentation tasks. …”
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INVESTIGATION OF THE SUBJECT-SPATIAL ENVIRONMENT OF THE SCHOOL BY THE METHOD OF SEMANTIC DIFFERENTIAL by I. A. Vinogradova, E. V. Ivanova, O. V. Nesterova

“…Specificity of the school environment, its atmosphere and surroundings determine the meaning and nature of learning, a vector and activity of development and self-development of participants in the educational process, and determine their actions in it. …”
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A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture by Oumaima Afif, Leonardo Franceschelli, Eleonora Iaccheri, Simone Trovarello, Alessandra Di Florio Di Renzo, Luigi Ragni, Alessandra Costanzo, Marco Tartagni

“…This paper comprehensively explores the development of a standalone and compact microwave sensing system tailored for automated radio frequency (RF) scattered parameter acquisitions. …”
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Sem-SLAM: Semantic-Integrated SLAM Approach for 3D Reconstruction by Shuqi Liu, Yufeng Zhuang, Chenxu Zhang, Qifei Li, Jiayu Hou

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Global Semantic Classification of Fluvial Landscapes with Attention-Based Deep Learning by Patrice E. Carbonneau

“…Rivers occupy less than 1% of the earth’s surface and yet they perform ecosystem service functions that are crucial to civilisation. Global monitoring of this asset is within reach thanks to the development of big data portals such as Google Earth Engine (GEE) but several challenges relating to output quality and processing efficiency remain. …”
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THE COMPLEX ANALYSIS METHOD OF SEMANTIC ASSOCIATIONS IN STUDYING THE STUDENTS’ CREATIVE ETHOS by P. A. Starikov

“…Today’s students associate creativity primarily with pleasure, self-development, self-expression, inspiration, improvisation, spontaneity; and the resulting semantic complex incorporates such characteristics of creative work as goodness, abundance of energy, integrity, health, freedom and independence, self-development and spirituality.The obtained data prove the importance of the inspiration experience in creative pedagogy; the research outcomes along with the continuing monitoring of students attitude to creativity development can optimize the learning process. …”
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Downstream Semantic Segmentation Model for Low-Level Surface Crack Detection by Thitirat Siriborvornratanakul

“…This study proposes a new approach of using downstream models to accelerate the development of deep learning models for pixel-level crack detection. …”
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An Improved Segformer for Semantic Segmentation of UAV-Based Mine Restoration Scenes by Feng Wang, Lizhuo Zhang, Tao Jiang, Zhuqi Li, Wangyu Wu, Yingchun Kuang

“…Mine ecological restoration is a critical process for promoting the sustainable development of resource-dependent regions, yet existing monitoring methods remain limited in accuracy and adaptability. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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Tire-Wear Estimation System Using Semantic Segmentation and Its Deployment by Min Jun Kang, Kyung Beom Kwon, Hyung Il Koo

“…Due to the lack of an existing dataset that captures tire grooves, we have collected a large number of tire videos with the ground truths of groove-depths to build and evaluate our system. For the semantic segmentation model, we select one from the U-Net family by considering complexity as well as output quality, and develop a post-processing method to improve the quality of masks (segmentation results). …”
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