Construction of Multifunctional Photothermal/Photocatalytic Materials Based on the Principle of Three Primary Colors: A Case Study of g‐C3N4/Ag2CrO4 by Haiwen Wang, Ting Wang, Zixian Zhu, Sijie Ren, Yu Huang, Shangshu Qian, Wanqi Tang, Xuepeng Yin, Hao Niu, Xiaomeng Wang, Tianpin Wu, Shanmin Gao

“…Under 1.0 kW m−2 irradiation, the water evaporation rate reaches 3.19 kg m−2 h−1, while a single thermoelectric module generates a maximum thermoelectric output power of 0.25 W m−2. …”
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An efficient and lightweight banana detection and localization system based on deep CNNs for agricultural robots by Zhenhui Zheng, Ling Chen, Lijiao Wei, Weihua Huang, Dongjie Du, Guoquan Qin, Zhou Yang, Shuo Wang

“…At the same time, the cross-stage local network (GSCSP) module was designed to reduce the computational complexity and the complexity of the network structure through a single-stage aggregation method. …”
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Digital Fire and Salvage Unit: A New Level of Training for Emercom Cadets by Igor A. Malyj, Vladislav V. Bulgakov, Irina Yu. Sharabanova

“…In addition, the program provides a functional module “Forum” and “Personal messages”, designed for discussion between users of topical issues of training and professional activity.Conclusion. …”
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TPL-DA: A Novel Threshold-Free Pseudolabel Learning Framework for Domain Adaptive Semantic Segmentation of High-Resolution Remote Sensing Images by Yan Ren, Jie Long, Xiaowen Gao, Ming Zhang, Guoqing Liu, Nan Su

“…Our multiscale context-enhanced prediction module further amplifies this. In the ST stage, we propose a dynamic threshold-free pseudolabel learning strategy that utilizes well-aligned feature prototypes in the feature space to guide pseudolabel generation in the probability space, eliminating the threshold constraints. …”
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Robust scale fusion and edge-aware feature attention network for remote sensing UAV road detection under harsh weather by Jialang Liu, Jialei Zhan, Jiehua Zhang, Jiangming Chen, Yan Song, Lixing Tang, Le Zhou, Chengsi Du, Yingmei Wei, Yanming Guo

“…Accurate road detection from UAV imagery under adverse weather remains a significant challenge due to reduced visibility, motion blur, and environmental interference. To address these issues, we propose RSFC-EAFANet, a robust detection framework that integrates Robust Scale Fusion Convolution (RSFC) with an Edge-aware Adaptive Feature Aggregation (EAFA) module. …”
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OCSCNet-Tracker: Hyperspectral Video Tracker Based on Octave Convolution and Spatial–Spectral Capsule Network by Dong Zhao, Mengyuan Wang, Kunpeng Huang, Weixiang Zhong, Pattathal V. Arun, Yunpeng Li, Yuta Asano, Li Wu, Huixin Zhou

“…Specifically, the spatial–spectral octave convolution module is designed to learn features from hyperspectral images by integrating spatial and spectral information. …”
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Research on a Marine Animal Behavior Recording Tag System Based on Combined Positioning and Recovery by Chuan Tian, Shiyao Shen, Zejin Sun, Dazhen Xu, Peng Luo, Yuanjie Song, Zhentong Wang, Chen Wang, Shengzong Zhang, Chong Shen

“…To overcome these challenges, this paper introduces a behavior recording tag system incorporating temperature, pressure, and miniature inertial measurement unit (MIMU) sensors as data collection modules. These sensors are integrated with a main control module and a data storage module to gather and archive behavioral and environmental information. …”
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Change Detection on Remote Sensing Images Using Multidimensional Attention Network by Yiming Zhang, Mingliang Xue, Yao Lu, Xuan Liang, Pengyuan Niu, Xueqian Wang, You He

“…Second, the multiscale feature enhancement module is employed, integrating multiscale convolution branches to capture a broader context, thus addressing the issue of missing small-scale changes. …”
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Adaptive Scattering Feature Awareness and Fusion for Limited Training Data SAR Target Recognition by Chenxi Zhao, Daochang Wang, Xianghui Zhang, Yuli Sun, Siqian Zhang, Gangyao Kuang

“…Specifically, the scattering structure intelligent awareness module is designed to automatically distinguish and screen the critical scattering information from the SAR image. …”
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Data-driven deep learning model for predicting ambient temperature: environment and solar energy by Reza Hassanian, Nashmin Yeganeh, Ásdís Helgadóttir, Runar Unnthorsson, Morris Riedel

“…However, it is often assumed to remain constant in PV module design and solar power production calculations. …”
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Network and Dataset for Multiscale Remote Sensing Image Change Detection by Shenbo Liu, Dongxue Zhao, Yuheng Zhou, Ying Tan, Huang He, Zhao Zhang, Lijun Tang

“…A global multiscale feature fusion module is designed to achieve global multiscale feature fusion and obtain multiscale high-level semantic change features. …”
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Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

“…The issue of marine oil spills has been receiving increasing attention. …”
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VMMT-Net: A Dual-Branch Parallel Network Combining Visual State Space Model and Mix Transformer for Land–Sea Segmentation of Remote Sensing Images by Jiawei Wu, Zijian Liu, Zhipeng Zhu, Chunhui Song, Xinghui Wu, Haihua Xing

“…We design a Cross-Branch Fusion Module to facilitate deep feature interaction and collaborative representation across branches, and implement a customized decoder module that enhances the integration of multiscale features and improves boundary refinement of coastlines. …”
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HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

“…The Scale Sequence Feature Fusion Module (SSFF) and Triple Feature Encoding Module (TFE) from the ASF-YOLO are introduced to improve the model’s capacity to extract features across various scales, and on this basis, to improve the model’s capacity to detect small targets, a P2 feature layer is included. …”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The architecture of the proposed system consists of the following modules: preparation module, which ensures the correct functioning of the system regardless of the existing speech disorders; the speech-to-text converter directly converts the voice of the child reading the text on the gadget screen into text; The text comparison module is responsible for comparing the text read aloud with the text obtained as a result of conversion. …”
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NFE-YOLO: A Lightweight and Efficient Detection Network for Low, Slow, and Small Drones by Dan Tian, Chen Wang, Dong Zhou, Xin Yan, Liaoyuan Zeng

“…Specifically, the neck incorporates partial Convolution and C3Faster modules to reduce model size while the EOrthoNet channel attention module improves feature extraction accuracy. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…The Channel Attention module is then applied to weight different feature channels, highlighting important information and reducing redundancy. …”
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Effect of smoking on the ceramide profile of adipose tissue in patients with cardiovascular diseases by E. V. Belik, Yu. A. Dyleva, E. G. Uchasova, A. O. Poddubnyak, A. V. Sotnikov, E. E. Gorbatovskaya, S. E. Dolmatova, O. V. Gruzdeva

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A Novel Dynamic Context Branch Attention Network for Detecting Small Objects in Remote Sensing Images by Huazhong Jin, Yizhuo Song, Ting Bai, Kaimin Sun, Yepei Chen

“…Within each branch, a Context Adaptive Selection Module (CASM) dynamically weights information, allowing the model to focus on the most relevant context. …”
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Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…We further propose Lite Feedback Module, a computationally efficient alternative to conventional feedback modules. …”
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