CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism by Panpan Zhang, Xin Teng, Yong Qin, Qiwei Zhao, Yu Gao, Wanchao Kang, Junfu Fan

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Movie Review Selection Algorithm Based on Improved Spherical Fuzzy Semantic DEMATEL and TODIM Methods by Qi Wang, Zi Xu, Weibo Rui, Yuan Zhao, Si Wang

“…It then determines the weights of these indicators using the Improved Spherical Fuzzy Semantic DEMATEL (Decision Making Trial and Evaluation Laboratory) method, followed by the application of the TODIM (an acronym in Portuguese for interactive and multicriteria decision making) method to rank the usefulness of movie reviews, considering the psychological factors influencing decision-makers across multiple groups. …”
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A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution by Pei Dang, Jun Zhu, Chao Dang, Heng Zhang

“…To address this challenge, this research proposes a novel framework integrating hydrodynamic simulation, knowledge graphs, and semantic reasoning with Large Language Models (LLMs). …”
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FARVNet: A Fast and Accurate Range-View-Based Method for Semantic Segmentation of Point Clouds by Chuang Chen, Lulu Zhao, Wenwu Guo, Xia Yuan, Shihan Tan, Jing Hu, Zhenyuan Yang, Shengjie Wang, Wenyi Ge

“…Light Detection and Ranging (LiDAR) provides critical 3D point cloud data for environmental perception systems, yet efficiently processing unstructured point clouds while extracting semantically meaningful information remains a persistent challenge. …”
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A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency by Yinxia Cao, Xin Huang, Qihao Weng

“…Given this challenge, this study introduces sparse point labels, a type of cost-effective weak labels, for semantic segmentation. Existing weakly-supervised methods often leverage low-level visual or high-level semantic features from networks to generate supervision information for unlabeled pixels, which can easily lead to the issue of label noises. …”
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A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models by Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang

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Comparison as a method for explication of the semantic structure of concepts (taking the image of a child as an example) by S.K. Alfalke, N.A. Iliukhina

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A Medical Image Semantics Segmentation Method Based on Image Pre-processing and Image Transformer by Li Zhaopeng

“…Semantics segmentation is a task aiming at classifying each pixel of an image into a category. …”
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Development of a semantic map for an unmanned vehicle using a simultaneous localisation and mapping method by O. A. Rodionov, B. Rasheed

“…In modern literature, there are mainly works on the practical application of such maps, and the process of developing a map remains outside the scope of consideration.The aim of the work is to create a methodology for designing semantic maps for autonomous vehicles with a detailed description of each of the development stages.Materials and methods: The article describes the methodology for creation of HD maps, which includes the stages of data collection using SLAM (Simultaneous localization and mapping) approach, its further processing and the development of the semantics of the road network. …”
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Agentic AI for Cultural Heritage: Embedding Risk Memory in Semantic Digital Twins by George Pavlidis

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Ontology-based semantic data interestingness using BERT models by Abhilash CB, Kavi Mahesh, Nihar Sanda

Subjects: “…semantic data mining…”
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Joint boundary-aware and multi-feature fusion for point cloud semantic segmentation by LU Jian, ZHAO Jie, GUO Huihui, LIANG Youcheng, ZHENG Yufei

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Studying the Meaning of Cinematic Techniques Through Experimental Approach: Introducing the Semantic Spectrum Model by Soheil Seraji, Mostafa Goudarzi

“…The results indicate that a spectrum-based approach can significantly enrich our understanding of cinematic language by revealing the layered nature of audience interpretation.These findings highlight the challenges of drawing strict boundaries between the meanings attributed to cinematic techniques and question the adequacy of single-concept interpretations. The semantic spectrum model offers a more meaningful and accurate method for explaining the relationship between cinematic techniques and their meanings, allowing for the coexistence of multiple concepts with varying degrees of influence. …”
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Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…Experimental results on three SCD datasets show that the proposed method outperforms other existing methods in various evaluation metrics. …”
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Semantic Understanding of the Identity Formation Process of Women in Yasuj City with a Postmodern Approach by Alieh Abbasi, Mahmoudreza Rahbarqazi, Amir Masoud Shahramnia

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Discovering Representations of Democracy in Big Data: Purposive Semantic Sample Selection for Qualitative and Mixed-Methods Research by Hubert Plisiecki, Agnieszka Kwiatkowska

“…The increasing volume of large, multi-thematic text corpora in social sciences presents a challenge in selecting relevant documents for qualitative and mixed-methods research. Traditional sample selection methods require extensive manual coding or prior dataset knowledge, while unsupervised methods can yield inconsistent results with theory-driven coding. …”
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A Cross-Modal Attention-Driven Multi-Sensor Fusion Method for Semantic Segmentation of Point Clouds by Huisheng Shi, Xin Wang, Jianghong Zhao, Xinnan Hua

“…The experimental results based on the SemanticKITTI and nuScenes benchmark datasets demonstrate that the CMF method achieves mean intersection over union (mIoU) scores of 64.2% and 79.3%, respectively, outperforming existing state-of-the-art methods in regard to accuracy and exhibiting enhanced robustness in regard to complex scenarios. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…Abstract Semantic segmentation of LIDAR point clouds is essential for autonomous driving. …”
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VirtualFilter: A High-Performance Multimodal 3D Object Detection Method with Semantic Filtering by Mingcheng Qu, Ganlin Deng

“…Certainly, multimodal methods can also lead to many problems, the two main ones being the incomplete utilization of camera features and rough fusion methods. …”
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Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS Tagging and Enhanced Semantic-Awareness by Enes Altuncu, Jason R. C. Nurse, Yang Xu, Jie Guo, Shujun Li

“…This paper proposes a <i>simple</i> but <i>effective</i> post-processing-based universal approach to improving the performance of <i>any</i> AKE methods, via an enhanced level of semantic-awareness supported by PoS tagging. …”
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