Fisheye omnidirectional stereo depth estimation assisted with edge-awareness by Junren Sun, Hao Xue, Shibo Guo, Xunqi Zheng

“…We design an Edge-Aware Module (EAM) that dynamically weights features extracted by a Residual Convolutional Neural Network (Residual CNN) using the extracted edge information. …”
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A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions by Chengyao Liu, Fei Dong

“…Then, a new feature refinement module is designed to refine domain adaptation features from high-dimensional feature set by evaluating the fault distinguishability and working-condition invariance of feature data. …”
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Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance by Hao Luo, Xinyue Wang, Li Zhang

“…Firstly, the proposed network integrates a residual feature extractor with the Domain Normalization (DN) module to enhance domain-invariant feature extraction. …”
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Digital mapping of soil electrical conductivity for paddy field by The Anh Anh, Luu Trong Hieu, Chi Ngon Nguyen

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Learners’ Feedback on the Effectiveness of Replacing an Instructional MOOC Video with Augmented Reality in a Practice-Based Course by Surendheran Kaliyaperumal, Mallika Vijayakumar

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WSN intrusion detection method using improved spatiotemporal ResNet and GAN by Yang Jing

“…Then, an improved spatiotemporal residual network model is designed, in which the spatial and temporal features of the data are extracted and fused through multi-scale one-dimensional convolution modules and gated loop unit modules, and identity maps are added based on the idea of residual networks to avoid network degradation and other issues. …”
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Experimental Investigation of Temperature Polarization near Membrane Surface During Air Gap Membrane Distillation Processes by Lianqi Jing, Jiaqi Sun, Yaoling Zhang, Jiaming Chen, Fei Guo

“…A set of thermocouples within a feed module were employed to monitor and capture the development of the temperature polarization profile. …”
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Multi-Scale Twin Networks for Coastal Zone Change Detection in Remote Sensing Imagery by Peiqi Zhu, Xiaoyi Jiang, Qi He, Longfei Zhao, Yu Hong, Xue Guo, Hanrui Sun

“…The method leverages multi-scale features extracted by the ResNet backbone, which are then optimized and integrated through high-frequency attention and spatio-temporal difference modules. These modules allow the model to focus on both global and local changes, enhancing its ability to detect variations in coastal zones. …”
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Technical and Economic Factors in the Design Model Fuzzy Smart Priority Investment Projects for Industrial: Approach Fuzzy Expert System by ali rajabzadeh ghatari, ahmadreza ghasemi, Adel azar, Rohollah Hosseini

“…In this study, MATLAB (fuzzy inference module system) software was used to analyze the data, fuzzy inputs and outputs, establishment of rules and, ultimately, expert system output and their defuzzification, and the graphical interface. …”
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Anti-Electricity Theft Model for Sustainable Economic Development in Nigeria by Josephine Sandra Ndulaka, Emmanuel Onyekachi Nwele, Matthew Olubiwe, Isdore Onyema Akwukwaegbu

“…A schematic method is adopted to mitigate this pervasive issue, ensuring that authorities have real-time knowledge when consumers engage in illicit practices. …”
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FTRNet: triplet fusion temporal relationship network for change detection in bitemporal remote sensing images by Wei Wu, Tong Li, Qi Xuan, QiMing Wan, Zuohui Chen

“…We design a change attention module to enhance bitemporal features, making the backbone network retain temporal information and fuse cross-scale features to extract the high-level location information. …”
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Efficient attention vision transformers for monocular depth estimation on resource-limited hardware by Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini

“…In dense Monocular Depth Estimation tasks, the inherently high computational complexity results in slow inference and poses significant challenges, particularly in resource-constrained onboard applications. To mitigate this issue, efficient attention modules have been developed. …”
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An Improved YOLOv8-Based Dense Pedestrian Detection Method with Multi-Scale Fusion and Linear Spatial Attention by Han Gong, Tian Li, Lijuan Wang, Shucheng Huang, Mingxing Li

“…To address the issue of missed detection for small-scale occluded pedestrians in dense scenes, this paper proposes an improved YOLOv8 detection algorithm named Dense-YOLOv8. …”
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Tumor detection on bronchoscopic images by unsupervised learning by Qingqing Liu, Haoliang Zheng, Zhiwei Jia, Zhihui Shi

“…The Downward Deformable Convolution Module (DDC) allowed the encoding phase to provide more detailed internal airway environment features. …”
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An IoT-Based Motorcycle Security System Using Arduino and Android for Theft Prevention by Aris Rakhmadi, Doni Kurnia Aji, Safiq Rosad, Abdul Azis, Retno Wahyusari

“…Motorcycle theft remains a prevalent issue, especially in urban areas, where traditional security measures such as mechanical locks and ignition keys are easily bypassed. …”
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Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning by Hailong Peng, Yuhua Zhu, Zhihui Li

“…The prediction model uses a long short-term memory (LSTM) network, enhanced with convolution layers for feature extraction and a Squeeze-and-Excitation Networks (SENet) module to suppress unimportant features and highlight important ones. …”
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Pre-Routing Slack Prediction Based on Graph Attention Network by Jinke Li, Jiahui Hu, Yue Wu, Xiaoyan Yang

“…However, existing approaches struggle with scalability on large graphs and lack generalizability to new designs, limiting their applicability to large-scale, complex circuit problems. To address this issue, this paper proposes a timing engine based on Graph Attention Network (GAT) to predict the slack of timing endpoints. …”
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A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data by Wenbo Xuan, Pengchao Chen, Rui Li, Fuxiang Wang, Kuan Fu, Zhitao Wen

“…Firstly, a data preprocessing module is designed to generate high-quality data required for subsequent processing, taking into account the characteristics of MFL data. …”
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Detection of Welding Defects Using the YOLOv8-ELA Algorithm by Yunxia Chen, Yangkai He, Lei Wu

“…The model integrates a novel HS-FPN feature fusion module, which optimizes the parameter efficiency and enhances the detection performance. …”
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Intimate partner controlling behaviour and intimate partner violence among married women in rural areas in South Africa by Lanre Abdul-Rasheed Sulaiman, Oluwaseun T. Ojogiwa, Chinyere Elsie Ajayi

“…Abstract Background Violence against women is a critical public health issue, and Intimate Partner Violence (IPV) is prevalent globally as its predominant form. …”
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