A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

“…To resolve the aforementioned issue, we propose a transformer-based multiscale Siamese framework (TMSF) for high-resolution remote sensing CD, aiming to improve detection accuracy. …”
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Extensive Feature-Inferring Deep Network for Hyperspectral and Multispectral Image Fusion by Abdolraheem Khader, Jingxiang Yang, Sara Abdelwahab Ghorashi, Ali Ahmed, Zeinab Dehghan, Liang Xiao

“…., non-local spatial and global spectral features, is the most critical issue faced by deep learning methods. Therefore, this paper proposes an Extensive Feature-Inferring Deep Network (EFINet) with extensive-scale feature-interacting and global correlation refinement modules to improve the effectiveness of HS-MS image fusion. …”
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Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images by Ying Huang, Yinhui Zhang, Zifen He, Yunnan Deng

“…Firstly, a hierarchical offset compensation (HOC) module in the form of a sequential and parallel connection is designed to perform deformable offset for the same flexible target across frames, which benefits from compensating for spatial motion features at the time sequence. …”
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Sketch Face Recognition Method Based on Local-Global Adapter by Huanyu Bian, Boqian Lv, Yanan Guo, Benkui Zhang, Kangning Du

“…In order to enhance the extraction of more comprehensive representational characteristics, we incorporate a streamlined Graph Convolutional Network (GCN) module subsequent to the local module. In addition, we propose a two-stage training strategy to fully utilize the LGAdapter to obtain more accurate visual features. …”
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ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling by Xin Mao, Ying Liu, Chenghao Qiu, Cong Lin

“…In addition, to enhance the feature learning capability of the denoising network, a dynamic edge-guided attention module is introduced. This module enhances feature learning capability and improves image detail extraction by guiding network decision making through adaptive weights. …”
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An intelligent power monitoring and analysis system for distributed smart plugs sensor networks by Shih-Hsiung Lee, Chu-Sing Yang

“…With the growth in power demand, energy management is an important issue in the 21st century. This article proposes a smart power management framework system, which comprises three parts. …”
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TECHNOLOGICALLY ENHANCED ONLINE OPPORTUNITIES FOR LANGUAGE LEARNING IN INCLUSIVE EDUCATION by A. Raluy

“…He also gives the description of online course, consisting of 6 compulsory modules. The module structure pattern (goals, theoretical background, practice, EFL application, reflection) is given. …”
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Design and Simulation of Bias Fork Chain Drive in Vertical Circular Stereo Garage by Wang Qi, Yan Zhengliang, Chen Yuanhua

“…The motion simulation module of software is used to simulate the trajectory curvature of the chain plate and the feasibility of the motion of the detection mechanism. …”
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Contextual Analysis of Financial Time Series by Nadezhda Yarushkina, Aleksey Filippov, Anton Romanov

“…The evaluation of the financial state of small and medium-sized companies is a pressing issue today. This article introduces a novel method to evaluate a company’s financial state, implemented as a module within a decision support system. …”
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Learning features for offline handwritten signature verification using spatial transformer network by Wanghui Xiao, Hao Wu

“…However, offline signature verification remains a challenging task due to the difficulty in discriminating minute yet significant details between genuine and skillfully forged signatures. To tackle this issue, this paper proposes a two-stage Siamese network model for offline handwritten signature verification using spatial transformer network. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The complementary responsibilities of the three branches address the issue of feature loss in details and improve the network’s learning efficiency across feature maps of different scales. …”
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Compressed sensing transformer unfolding network for high resolution image denoising by Jie Zhang, Wenxiao Huang, Miaoxin Lu, Linwei Li, Yongpeng Shen, Yanfeng Wang, Jinsong Du

“…Specifically, we first design a Degradation Prior Gradient Descent (DPGD) module to learn noise degradation and guide adaptive gradient descent. …”
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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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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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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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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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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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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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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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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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