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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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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PROJECT COST MANAGEMENT AT THE DESIGN AND CONSTRUCTION STAGE by M. A. Fedotova, A. S. Maltsev, T. V. Tazihina

“…Nonetheless, it’s failed to address the issue to the capitalized costs informational block-schedule and methodical approach, allowing to module the loans and the financial leasing accounting parameters, with the capitalized costs being assumed on the design and the construction stage of the science-intensive projects (aircraft manufacturing, nuclear power engineering).Also on the design and the construction stage it weren’t worked out the methodical recommendations, allowing to be assessed the influence of the capitalized costs and incurring losses by the tax expense from continuing operation calculation from the point of view of accounting standards and tax legislation on net present value and financial stability of project.In this way the task to work out the methodical approaches and recommendations, allowing to model the loans and the financial leasing accounting parameters, and to carry out the assessment of the capitalized costs influence on the net present value and  the financial stability of the project are current importance task. …”
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MTAGCN: Multi-Task Graph-Guided Convolutional Network with Attention Mechanism for Intelligent Fault Diagnosis of Rotating Machinery by Bo Wang, Shuai Zhao

“…To address this limitation, a new multi-task fault diagnosis framework is designed, incorporating an attention mechanism between the task-specific module and task-shared modules. This framework enables multiple related tasks to be learned jointly while improving diagnostic and identification performance. …”
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Trinocular Vision-Driven Robotic Fertilization: Enhanced YOLOv8n for Precision Mulberry Growth Synchronization by Ma Ming, Osama Elsherbiny, Jianmin Gao

“…This study focused on addressing the issue of delayed root system development in mulberry trees during aerosol cultivation, which is attributed to the asynchronous growth of branches and buds. …”
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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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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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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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Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…The neck network employs a Slim-Neck architecture, incorporating an ADown module to replace traditional downsampling convolutions. …”
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SNN-Based Semantic Segmentation Method Using Adaptive Threshold and Multi-Feature Fusion by HUANG Yongbin, LI Chen, DONG Wenbo, LIU Shunlian

“…To further improve the network's ability of feature extraction for spike sequences, a spiking feature fusion (SFF) module designed at the encoder end subsequently functions to perform multi-scale feature extraction and fusion of the spike sequences. …”
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Um estudo de impactos do roteamento dinâmico de veículos em atividades de prestação de serviço A study of impacts of dynamic vehicle routing on services production activities by Vitória Pureza, Daniel França Lazarin

“…<br>In this paper we evaluate the impacts resulting from the incorporation of dynamic vehicle routing and scheduling in service production systems where due dates for service are a priority issue. We propose a constructive/deconstructive heuristic, which is activated by a dispatcher module in order to obtain routes in real time. …”
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Implementation of the internet of things network for monitoring audio information on a microprocessor and controller by V. A. Vishniakou, B. H. Shaya

“…The IoT network includes a sound sensor (microphone), a unit for analyzing the information received from it and a decision-making module. A diagram of the first IoT structure for assessing the sound level based on the MP and controller is given.The algorithm of IoT network functioning for the analysis of voice information is detailed. …”
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Getting Them Early: Teaching a Critical Perspective on Legal Ethics and Adversarialism in an Introductory LLB Unit at the Queensland University of Technology by Barbara Hamilton

“…I suggest that the benefits of the pervasive method are lost both when ethical issues are confined to explicit modules within a subject as well as when ethics teaching is confined to a stand-alone subject in the curriculum. …”
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A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…Additionally, the fusion branch introduces the feature preserving downsampling (FPD) module that employs patch merging technique, effectively alleviating the issue of minor defect information loss caused by traditional downsampling. …”
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Electromagnetic Nanocommunication Networks: Principles, Applications, and Challenges by Md. Humaun Kabir, S. M. Riazul Islam, Anish Prasad Shrestha, Farman Ali, Md. Alamgir Badsha, Md. Jalil Piran, Dinh-Thuan Do

“…Then, the survey focuses on the basic principles of fundamental physical layer issues enabling nanonetworks; the discussion includes frequency bands, modulation and demodulation, and EM properties of nanoparticles. …”
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Dynamic Grouping With Multi-Manifold Attention for Multi-View 3D Object Reconstruction by Georgios Kalitsios, Dimitrios Konstantinidis, Petros Daras, Kosmas Dimitropoulos

“…This work aims to address this issue by proposing a novel approach to compute information-rich inter-view features by combining image tokens with similar distinctive characteristics among the different views dynamically. …”
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Research on Robot Control Technology of Tomato Plant Lowering in Greenhouses by Bin Zhang, Shuhao Xu, Ziming Xiong, Hao Qin, Xinyi Ai, Ting Yuan, Wei Li

“…This paper addresses this issue by presenting the design and development of a tomato-plant-lowering robot utilizing machine vision and deep learning techniques. …”
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Multi-Head Attention Refiner for Multi-View 3D Reconstruction by Kyunghee Lee, Ihjoon Cho, Boseung Yang, Unsang Park

“…In this paper, we introduce a post-processing method, the Multi-Head Attention Refiner (MA-R), designed to address this issue by integrating a multi-head attention mechanism into the U-Net style refiner module. …”
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Research on Open-Set Recognition Methods for Rolling Bearing Fault Diagnosis by Jia Xu, Yan Wang, Renyi Xu, Hailin Wang, Xinzhi Zhou

“…In rolling bearing fault diagnosis, when an unknown fault is present, the Closed-Set Recognition (CSR) method tends to misclassify it as a known fault. To address this issue, an Open-Set Recognition (OSR) framework is proposed for rolling bearing fault diagnosis in this study. …”
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