Výsledky vyhledávání - Data Storage and Classification Module

Pattern Recognition and Neural Network-Driven Roller Track Analysis via 5G Network Autor Guo, Yuliang

“…Roller skating is an important and international physical exercise, which has beautiful body movements to be watched. However, the falling of roller athletes…”
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Machine-learning based vulnerability analysis of existing buildings Autor Ruggieri, Sergio, Cardellicchio, Angelo, Leggieri, Valeria, Uva, Giuseppina

“… The first module, Street VULMA, performs the image gathering starting from the raw data; the second module, Data VULMA, provides a mean for the data labelling and storage…”
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Energy-Efficient Data Symbol Detection via Boosted Learning for Multi-Actuator Data Storage Systems Autor Xu, Jiachen, Chen, Ethan, Chen, Vanessa

“…Machine-learning-based readout channels are presented for direct data symbol detection via decision-tree classification with gradient boosting for multiple-actuator data storage systems…”
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A Lightweight Spectral-Spatial Convolution Module for Hyperspectral Image Classification Autor Meng, Zhe, Jiao, Licheng, Liang, Miaomiao, Zhao, Feng

“…Convolutional neural networks (CNNs) showed impressive performance for hyperspectral image (HSI) classification…”
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Research on Process Management and Verification of Relay Protection Setting Based on Data Dictionary Autor Wu, Jixiang, Wu, Zhenlong, Liu, Lei, Quan, Zhi, Zhao, Zhijie

“… to the fixed-valued data dictionary, and standardizes the naming and classification of fixed values with different names but the same direction, so as to carry out data identification, data…”
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A fast classification method of retired electric vehicle battery modules and their energy storage application in photovoltaic generation Autor Li, Xinzhou, Zhang, Lizhong, Liu, Yi, Pan, Aiqiang, Liao, Qiangqiang, Yang, Xiu

“…Summary The fading characteristics of 60 Ah decommissioned electric vehicle battery modules were assessed employing capacity calibration, electrochemical impedance spectroscopy, and voltage measurement of parallel bricks inside modules…”
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Cost-effective data classification storage through text seasonal features Autor Yuan, Zhu, Lv, Xueqiang, Gong, Yunchao, Xie, Ping, Yuan, Taifu, You, Xindong

“…Data classification storage has emerged as an effective strategy, harnessing the diverse performance attributes of storage devices and orchestrating a harmonious equilibrium between energy consumption…”
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Frequency-Enhanced Channel-Spatial Attention Module for Grain Pests Classification Autor Yu, Junwei, Shen, Yi, Liu, Nan, Pan, Quan

“…For grain storage and protection, grain pest species recognition and population density estimation are of great significance…”
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Fault Diagnosis of Lithium Battery Modules via Symmetrized Dot Pattern and Convolutional Neural Networks Autor Wang, Meng-Hui, Hong, Jing-Xuan, Lu, Shiue-Der

“…: overcharge, over-discharge, aging, and leakage caused by manual perforation. An 80.5 kHz high-frequency square wave signal is input into the battery module and recorded using a high-speed data acquisition card…”
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SEViT: a large-scale and fine-grained plant disease classification model based on transformer and attention convolution Autor Zeng, Qingtian, Niu, Liangwei, Wang, Shansong, Ni, Weijian

“…) is proposed to solve the above problems. SEViT uses ResNet embedded with channel attention module as the preprocessing network, ViT as the feature classification…”
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CottonFGD: an integrated functional genomics database for cotton Autor Zhu, Tao, Liang, Chengzhen, Meng, Zhigang, Sun, Guoqing, Meng, Zhaoghong, Guo, Sandui, Zhang, Rui

“… With the emergence of huge -omics data sets, it is essential to have an integrated functional genomics database that allows worldwide users to quickly and easily fetch and visualize genomic information…”
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Pointlgfn: local–global fusion network for point cloud classification Autor Liu, Tong, Tian, Shengwei, Yu, Long, Wu, Chaoyue, Li, Jie, Wang, Guoqi, Xia, Pusen

“…In point cloud classification tasks, the inherent disorder and sparsity of 3D point clouds often make it challenging for existing models to effectively capture both local details and global…”
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Hybrid attention multi-scale feature aggregation for efficient nuclei segmentation and classification in H&E-stained images Autor Zhang, Xingpeng, Guo, Peng, Wang, Qiuli, Wang, Kaixin, Wu, Sijing, Xu, Jing, Yu, Yang

“…Accurate segmentation and classification of nuclei in hematoxylin and eosin (H&E)-stained images pose significant challenges due to overlapping nuclei, blurred boundaries, and variations in staining and expression…”
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Attention-guided few-shot learning for metal surface defect classification Autor Liu, Xiaoyu, Zhang, Yue, Wang, Qin, Li, Zhenglin, Ke Xu, Cor

“… in industrial settings. Furthermore, the high inter-class similarity and variability of metal surface textures pose additional challenges to robust defect classification under low-data regimes…”
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Multi-stage attention for efficient brain tumor classification with SAM-Med2D Autor Zhu, Hanruo, Zhu, Ziquan, Lu, Si-Yuan

“… To address these issues, this paper proposes a novel and efficient classification module named Multi-Stage Attention , composed of Spatial Feature Attention and Hierarchical Efficiency Attention…”
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FDAM: full-dimension attention module for deep convolutional neural networks Autor Cai, Silin, Wang, Changping, Ding, Jiajun, Yu, Jun, Fan, Jianping

“… In this paper, we propose a full-dimension attention module, which is a lightweight, fully interactive 3-D attention mechanism…”
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PGAF-Net: an adaptive fusion network with polarization-guided hybrid attention for dual-polarized SAR ship classification Autor Zhang, Yongheng, Chen, Liwei, Wang, Shigang, Zhao, Yan, Wei, Jian

“…) for dual-polarized SAR ship classification. PGAF-Net comprises two key modules: the dual-polarization feature extraction (DPFE…”
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RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed Autor Si, Qiuxin, Ik Han, Sang

“…Currently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage capacity…”
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Multi-label classification of tongue images using label semantic embedding and dual-branch network Autor Lu, Xiang, Feng, Yue, Jia, Xudong, Chen, Tao

“… Moreover, existing deep learning methods for multi-label tongue image classification have limitations in capturing detailed features and semantic information…”
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Multi-label local awareness and global co-occurrence priori learning improve chest X-ray classification Autor Wang, Guoli, Wang, Pingping, Wei, Benzheng

“… the radiologist’s classification accuracy. Unfortunately, most existing deep learning systems focus only on regression from input to binary labels, lack the ability to jointly analyze and integrate global and local information…”
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