Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…A global and local deformation offset calculation network module precisely aligned spatial features of the images. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Abstract This study aims to address the issues of accuracy and efficiency in sculpture image classification. …”
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IoT-Based Smart Utility Control System by Khansa niazi, Waleed Ahmad, Muhammad Hassan Nadeem

“…The system is designed to ensure convenience, promote resource conservation, and support households in addressing challenges related to resource scarcity and rising costs, particularly in economically vulnerable regions. With two key modules, our proposed solution addresses critical issues households in Pakistan and similar regions face. …”
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Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…To address these issues, an improved method for extracting mining field indicators by integrating YOLOv8 with a triangulated network was proposed. …”
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Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina" by A. G. Savenko

“…The module is designed to identify the shortcomings in educational content and to improve the materials that could cause the difficulties for students when studying certain issues or topics of the disciplines are studied based on statistical data of student performance. …”
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A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media by Yuhe Gao, Jishen Jia, Lei Cai, Meng Zhou, Haojie Chai, Jinze Jia

“…Finally, the blurring artifact elimination module eliminates artifacts caused by image blurring and geometric line correction by using multiscale fusion of individual U-Net information streams. …”
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Security Trade-Off and Energy Efficiency Analysis in Wireless Sensor Networks by Damian Rusinek, Bogdan Ksiezopolski, Adam Wierzbicki

“…Moreover, an advanced communication module is proposed as an extension of the QoP-ML language, which enhances the abilities to analyze complex wireless sensor networks. …”
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Synergistic Multi-Granularity Rough Attention UNet for Polyp Segmentation by Jing Wang, Chia S. Lim

“…However, complex backgrounds, diverse polyp morphologies, and ambiguous boundaries make this task difficult. To address these issues, we propose the Synergistic Multi-Granularity Rough Attention U-Net (S-MGRAUNet), which integrates three key modules: the Multi-Granularity Hybrid Filtering (MGHF) module for extracting multi-scale contextual information, the Dynamic Granularity Partition Synergy (DGPS) module for enhancing polyp-background differentiation through adaptive feature interaction, and the Multi-Granularity Rough Attention (MGRA) mechanism for further optimizing boundary recognition. …”
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Lightweight joint source-channel coding method based on MIMO-CSI prediction by YU Chuangyu, XU Yanyan, PAN Shaoming

“…Finally, to adapt the semantic information to the time-varying quality of MIMO channels, a channel adaptive module was designed. This module assigns appropriate transmission subchannels and time slots to different features based on their importance, thereby enhancing the semantic accuracy of image reconstruction. …”
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A lightweight model for echo trace detection in echograms based on improved YOLOv8 by Jungang Ma, Jianfeng Tong, Minghua Xue, Junfan Yao

“…YOLOv8-SBE adds the C2f_ScConv module to improve efficiency and reduce parameters, incorporates the BiFPN structure to enhance information transfer, and uses the EMA attention module for better small target recognition. …”
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SAR 3D Reconstruction Based on Multi-Prior Collaboration by Yangyang Wang, Zhenxiao Zhou, Zhiming He, Xu Zhan, Jiapan Yu, Xingcheng Han, Xiaoling Zhang, Zhiliang Yang, Jianping An

“…In this method, firstly, each optimization module in 3D reconstruction based on multi-prior is treated as an independent function module, and these modules are reformulated as parallel operations rather than sequential utilization. …”
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De-Classrooming: Moving Learning Outside the Classroom by Andrew P. Carlin

“… This paper reflects on a teaching problem highlighted as part of a second-year undergraduate module in sociology, taught at a UK based institution of higher education. …”
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De-Classrooming: Moving Learning Outside the Classroom by Andrew P. Carlin

“… This paper reflects on a teaching problem highlighted as part of a second-year undergraduate module in sociology, taught at a UK based institution of higher education. …”
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De-Classrooming: Moving Learning Outside the Classroom by Andrew P. Carlin

“… This paper reflects on a teaching problem highlighted as part of a second-year undergraduate module in sociology, taught at a UK based institution of higher education. …”
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Dual-Branch Attention Convolution Spectral–Spatial Feature Extraction Networks for Hyperspectral Image Classification by Genyun Sun, Cheng Jing, Aizhu Zhang, Xiaolin Chen, Hang Fu, Zhaojie Pan, Ji Cheng

“…DACSS encompasses a dual-branch feature extraction module (DFEM) and a spatial–spectral feature aggregation module (SSAM). …”
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DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images by Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, Bin Wang

“…It primarily consists of two components: the feature candidate search (FCS) module and the fusion operator search (FOS) module, which execute sequentially. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…The LGDRNet primarily consists of multiscale 3-D conv, dynamic local feature extraction, residual global feature extraction, and feature fusion modules. Specifically, a multiscale 3-D conv module is used for low-level multiscale spectral information extraction. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

“…Additionally, the lightweight and efficient Dysample upsampling module was incorporated to enhance feature map resolution. …”
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Interdisciplinary Teaching About Refugee and Migrant Policy and Experiences Using Simulation and Story by Emily Wierszewski, Roni Kay O'Dell

“…They then examined the issue from an individual level via refugee narratives, including participation in Narrative 4 story exchanges. …”
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Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11 by Hongjing Tao, Lei Zhang, Zhipeng Sun, Xinchao Cui, Weixun Yi

“…A detection model, referred to as EBD-YOLO, is proposed based on YOLOv11n. First, the C3k2-EMA module is integrated with the EMA attention mechanism within the C3k2 module of the backbone network, thereby enhancing the model’s feature extraction capabilities. …”
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