Unpaired Image-to-Image Translation with Diffusion Adversarial Network by Hangyao Tu, Zheng Wang, Yanwei Zhao

“…Specifically, our model consists of two modules: (1) Feature fusion module: In this module, one-dimensional SVD features are transformed into two-dimensional SVD features using the convolutional two-dimensionalization method, enhancing the diversity of the images generated by the network. (2) Network convergence module: In this module, the generator transitions from the U-net model to a superior diffusion model. …”
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A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening by Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang

“…In the spectral correction branch, we designed a local spectral reinforcement (LSR) module and a global spectral rectification (GSR) module to keep the spectral fidelity. …”
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Attention Swin Transformer UNet for Landslide Segmentation in Remotely Sensed Images by Bingxue Liu, Wei Wang, Yuming Wu, Xing Gao

“…This model is based on structure of SwinUNet, attaching a channel Attention and spatial intersection (CASI) module as a parallel branch of the encoder, and a spatial detail enhancement (SDE) module in the skip connection. …”
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Research on an adaptive multimodal cognitive load classification method by Xiangxin Yu, Ruizhen Wang

“…Methods: To address these issues, this study proposes a cognitive load classification algorithm based on Multimodal Domain Adaptation (MMDA), which comprises an Intra-Modal Domain Adaptation (IMDA) module and a Cross-Modal Domain Adaptation (CMDA) module. …”
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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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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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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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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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Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray. by Nadim Rana, Yahaya Coulibaly, Ayman Noor, Talal H Noor, Md Imran Alam, Zeba Khan, Ali Tahir, Mohammad Zubair Khan

“…The input is pre-processed by resizing, normalizing pixel values, and applying data augmentation to address the issue of imbalanced datasets and improve model generalization. …”
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MPIFNet: A Multi-Path Information Fusion Fault Diagnosis Network Based on Time Series Two-Dimensional Transformation by Chaowei Zang, Yingxin Liang, Qiang Niu

“…Specifically, a time series two-dimensional transformation module is introduced to extract key periodic features from the time series signals, thereby extending the original one-dimensional signal into two-dimensional space. …”
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Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer by Rongjun Cheng, Xudong An, Yuanzi Xu

“…Furthermore, ablation experiments are conducted to evaluate the performance of each module, affirming the efficacy of ViT in modeling spatial–temporal data.…”
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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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Problems of underestimation of the weight of the load in containers, moved by sea transport by V. V. Tonkonog, E. V. Filatova, T. V. Golovan

“…Trying to avoid payment of customs duties in full, many unscrupulous transport companies are deliberately trying to understate the weight ofthe goods in the container module during transportation by sea. In this regard, the authors proposed recommendations to address the issue of understating the weight of cargo in containers transported by sea.…”
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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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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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Optimizing document management and retrieval with multimodal transformers and knowledge graphs. by Yali Chen, Bin Hu, Yajuan Liu

“…Ablation experiments also confirm the indispensability of each module. Visual analysis further demonstrates the model's clear advantages in retrieval accuracy and efficiency, though error analysis reveals its shortcomings in handling long-tail entities and cross-modal ambiguity. …”
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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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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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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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Computational Fluid Dynamics calculation of a planar solid oxide fuel cell design running on syngas by Pianko-Oprych Paulina, Zinko Tomasz, Jaworski Zdzisław

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