Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…To address this issue, we propose a simple yet effective module called the Discriminative Cross-modal Attention Fusion (DCMAF) module. …”
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A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…However, site surveillance images from construction sites often feature multi-size and multi-scale targets, leading to low detection accuracy for PPE in existing models. To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model's adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…Secondly, to mitigate the issue of low pixel utilization ratio in small-target detection, a DTADH module is designed, and a shared feature interaction module is constructed. …”
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MSKFaceNet: A Lightweight Face Recognition Neural Network for Low-Power Devices by Peng Zhang, Qinghua Ma, Yi Li, Min Cui

“…Built upon the MSKFNet module, MSKFaceNet further integrates a lightweight SE module to enhance its feature representation capabilities. …”
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EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification by Wei-Yen Hsu, Ya-Wen Cheng

“…The initial Temporal Feature Extraction (iTFE) module extracts the initial important temporal features of MI EEG signals. …”
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A text classification model for dynamic fusion of global and local features by ZHENG Wenjun, ZHANG Shunxiang

“…Existing text classification models insufficiently utilize global and local information in texts, leading to subpar classification performance. In response to this issue, a text classification model called global and local features dynamic fusion (GLFDF) is proposed. …”
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Design and Implementation of Level Shifted SPWM for 3-Phase 3-Level Inverter by Ahmad Qurthubi Salman Al-Khansa, I Made Wiwit Kastawan, Nanang Mulyono

“…This research aims to produce a module that can issue a signal to trigger 3 levels of 3-phase inverter using the level-shifted SPWM switching method. …”
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Les connaissances liées à l’apprentissage de la lecture dans un dictionnaire électronique by Chrysta Pelissier

“…On the other hand, we illustrate our comments using the Lexical Resource Module (LRM hereafter), for how a child learns to read at the outset. …”
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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…First, we design a comprehensive anomaly detection framework that includes an oversampling module by generative adversarial network, an ensemble classifier, and a consistency check module. …”
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Refining features for underwater object detection at the frequency level by Wenling Wang, Zhibin Yu, Zhibin Yu, Mengxing Huang

“…The blurring problem caused by water scattering on underwater images makes the high-frequency texture edge less obvious, affecting the detection effect of objects in the image. To address this issue, we design a multi-scale high-frequency information enhancement module to enhance the high frequency features extracted by the backbone network and improve the detection effect of the network on underwater objects. …”
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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…To tackle these challenges, we propose a systematic modular approach that consists of three modules, Module-1: Data Pre-processing, Module-2: Data Balancing, and Module-3: Blending Classification. …”
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DMCF-Net: Dilated Multiscale Context Fusion Network for SAR Flood Detection by Zhimin Wang, Lingli Zhao, Nan Jiang, Weidong Sun, Jie Yang, Lei Shi, Hongtao Shi, Pingxiang Li

“…DMCF-Net consists of three main modules: multiscale feature aggregation (MSFA) module, cross-scale attention fusion (CSAF) module, and deep feature refinement (DFR) module. …”
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Structural Attributes Injection Is Better: Exploring General Approach for Radar Image ATR with a Attribute Alignment Adapter by Xiaolin Zhou, Xunzhang Gao, Shuowei Liu, Junjie Han, Xiaolong Su, Jiawei Zhang

“…Specifically, we propose a Structural Attribute Injection (SAI) module that can be flexibly inserted into any framework constructed based on neural networks for radar image recognition. …”
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Research on Parallel Task Scheduling Algorithm of SaaS Platform Based on Dynamic Adaptive Particle Swarm Optimization in Cloud Service Environment by Jian Zhu, Qian Li, Shi Ying, Zhihua Zheng

“…Users access the cloud through the user access interface module, and issue task scheduling instructions or send task scheduling requests. …”
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Small-Target Detection Algorithm Based on STDA-YOLOv8 by Cun Li, Shuhai Jiang, Xunan Cao

“…Due to the inherent limitations of detection networks and the imbalance in training data, small-target detection has always been a challenging issue in the field of target detection. To address the issues of false positives and missed detections in small-target detection scenarios, a new algorithm based on STDA-YOLOv8 is proposed for small-target detection. …”
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Modular gardens by James C. Rose – A 1946 experiment for Ladies’ Home Journal by Anna-Maria Visilia

“… The ‘module’ is a design tool that is profoundly intertwined with design concepts such as proportions and geometry as well as globalization, sustainability, and equity. …”
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SMILE: Semi-supervised multi-view classification based on dynamical fusion. by Hui Yang, Linyan Kang, Xun Che

“…This approach leverages a high-level semantic mapping module to extract discriminative features from each view, reducing redundancy features. …”
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Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks by Li Ma, Yunshun Wang, Xiaoshi Lv, Lijun Guo

“…In the short-term spatiotemporal branch, a recurrent neural ordinary differential equation (ODE) module is devised. This module is capable of continuously and dynamically adjusting short-term spatiotemporal features, better capturing and exploring potential short-term spatiotemporal characteristics. …”
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SCA-CVENet: A Spatial-Channel-Attention Collaborative Cost Volume Enhancement Network for High-Quality Depth Reconstruction by Mao Tian, Xudong Zhao, Xiong Lv

“…Second, the SAW generation subnetwork is adopted, which incorporates the group-wise correlation (GWC)-based cost volume adaptive fusion module and 3D hourglass module to produce an accurate SAW. …”
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CD4C: Change Detection for Remote Sensing Image Change Captioning by Xiliang Li, Bin Sun, Zhenhua Wu, Shutao Li, Hu Guo

“…Specifically, a change detection module generates binary masks that contain relevant visual change information from multitemporal images. …”
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