Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification by Dongmei Deng, Ping Yao

“…However, existing CLIP-based methods still have two essential issues: 1) bias in text features; 2) unreliable similarity in image features. …”
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MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…Then, a multivariate spatio-temporal correlation module is used to capture the global spatio-temporal dependencies between variables and model their interactions. …”
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PEMBERDAYAAN GURU BIMBINGAN KONSELING MADRASAH DAERAH 3T DALAM MENGATASI MASALAH PSIKOSOSIAL REMAJA DENGAN MENGGUNAKAN ECO ART COUNSELING by Amirah Diniaty, Siti Kulsum, Riswani Riswani, Salmiah Salmiah

“…Creative expressions led to artworks with potential economic values, such as motifs for hijab, Natuna's typical sarung.The community service recommends that future services should further specify student psychosocial issues and develop an educational module for eco-art counseling.…”
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Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends by Muhammad Umar Majigi, Ismaila Idris, Shafi’i Muhammad Abdulhamid, Richard A. Ikuesan

“…After thoroughly screening selected peer-reviewed articles, the primary open issues are: incorporating a data placement module in the data transfer service, providing end-to-end safeguards for packet delivery, improving data transfer time and speed, minimizing costs and implementation overhead, ensuring secure data transfer between servers in the cloud, demonstrating effective big data transfer architectures, considering topology-specific extensions to reduce the busty nature of data centers, and enhancing data transfer services using machine learning algorithms during upload and download operations. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

“…To address the issues of high computational load and slow detection speed in existing human pose estimation models, this paper proposes a lightweight improved algorithm based on the YOLOv8s-Pose model. …”
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The Use of Road Microsimulation Software within BIM Environments: A Preliminary Assessment by Marilisa Botte, Amedeo Zampi, Cristina Oreto, Luca D’Acierno

“…In this context, there arises the need to perform a comprehensive analysis, combining infrastructure design and building issues with transportation theory principles. For this purpose, the paper proposes a comparative analysis of two different approaches relying on BIM-based tools, namely integrated (i.e., BIM environments with an in-built module for transport simulation tasks) and an interfaceable solution (i.e., BIM environments offering a customised interface for external mobility simulation software). …”
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Neutronics-thermal-hydraulics-material coupling study of lead-bismuth cooled reactor single rod based on oxidative corrosion characteristics by JI Xu, CHAI Xiang, ZHANG Lefu, LIU Xiaojing

“…Two coupling relationships in the coupling framework, i.e., (1) the neutron physics module for transferring power distribution to the thermal-hydraulics module, and the thermal-hydraulics module transferring temperature distribution to the neutron physics module; (2) the thermal-hydraulics module transferring temperature field and flow field to the oxidative corrosion module, and the oxidative corrosion module transferring oxide layer thickness distribution to the thermal-hydraulics module, were investigated. …”
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Modelling a bibliographic ontology of imperial diplomas: updates from the OntoVE Knowledge Base by Chiara De Bastiani

“…The module was conceived within the OntoVE project, which aims to collect Germanic Cultural Heritage items related to Veneto; more specifically, the module presented in this contribution conceptualizes the description of imperial diplomas issued by rulers of Germanic origin and related to Veneto. …”
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Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image by Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang

“…PCDM constructs a channel synthesis module that generates a ground truth set through band synthesis, and designs an image reconstruction module (IRM) to ensure that the synthesized image in the next stage can effectively reconstruct the synthesized features from the previous stage. …”
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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

“…Subsequently, the CBAM attention module is integrated into ConvNeXt-T to enhance the model’s feature extraction and generalization capabilities in complex backgrounds, and each attention module’s loss function is improved with a LeakyReLU activation function to prevent neuron deactivation when inputs are negative. …”
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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…Along with this development, issues concerning waterborne traffic safety are gradually emerging. …”
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Adaptive pixel attention network for hyperspectral image classification by Yuefeng Zhao, Chengmin Zai, Nannan Hu, Lu Shi, Xue Zhou, Jingqi Sun

“…Specifically, a Spectral–Spatial Superposition Enhancement module is first proposed for enhancing the spectral–spatial information of 3D input cubes via complementing the 1D spectral vectors by zero and reflection filling operations. …”
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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

“…Then, the semantic-injected flow estimation (SFE) module is introduced to estimate multilevel deformation fields for fine-grained registration of different objects. …”
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GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

“…First, frequency domain transformation and a Convolutional Block Attention Module (CBAM) were applied to preprocess the remote sensing images, enhancing building details while suppressing irrelevant noise interference. …”
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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…The core architecture features an adaptive hierarchical sampling module extracting multiscale geometric features, followed by a cross-view fusion module that implements stagewise fusion of 3-D structural information with 2-D representations. …”
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Unsupervised Spectral Super-Resolution Guided by Spectral Sampling Priors by Xintao Zhong, Shenfu Zhang, Chenyang Lu, Xuejian Sun, Feng Shao, Weiwe Sun, Xiangchao Meng

“…We then utilize spectral unmixing for super-resolution module to produce a coarse HSI, maximizing the exploitation of spectral information. …”
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Fine-Grained Aircraft Recognition Based on Dynamic Feature Synthesis and Contrastive Learning by Huiyao Wan, Pazlat Nurmamat, Jie Chen, Yice Cao, Shuai Wang, Yan Zhang, Zhixiang Huang

“…Finally, to handle the challenge of large intra-class variations and small inter-class differences, we propose a contrastive learning module to enhance the spatial discriminative features of the targets. …”
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MultiSEss: Automatic Sleep Staging Model Based on SE Attention Mechanism and State Space Model by Zhentao Huang, Yuyao Yang, Zhiyuan Wang, Yuan Li, Zuowen Chen, Yahong Ma, Shanwen Zhang

“…This paper introduces an innovative deep learning architecture, MultiSEss, aimed at solving key issues in automatic sleep stage classification. The MultiSEss architecture utilizes a multi-scale convolution module to capture signal features from different frequency bands and incorporates a Squeeze-and-Excitation attention mechanism to enhance the learning of channel feature weights. …”
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Feature Enhancement Network for Infrared Small Target Detection in Complex Backgrounds Based on Multi-Scale Attention Mechanism by Sen Zhang, Weilin Du, Yuan Liu, Ni Zhou, Zheng Li

“…In particular, the introduction of the Iterative Attentional Feature Fusion (iAFF) module at the detection network’s neck aims to tackle the issue of minor target features being overshadowed in the process of cross-scale feature fusion. …”
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SFG-Net: A Scattering Feature Guidance Network for Oriented Aircraft Detection in SAR Images by Qingyang Ke, Youming Wu, Wenchao Zhao, Qingbiao Meng, Tian Miao, Xin Gao

“…The core components of the proposed method include the detail feature supplement (DFS) module and the context-aware scattering feature enhancement (CAFE) module. …”
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