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检索条件"机构=Data Engineering and Network Technology Laboratory"
581 条 记 录,以下是511-520 订阅
排序:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
Meta Mask Correction for Nuclei Segmentation in Histopatholo...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Jiangbo Shi Chang Jia Zeyu Gao Tieliang Gong Chunbao Wang Chen Li National Engineering Lab for Big Data Analytics Xi’an Jiao tong University Xi’an Shaanxi China School of Computer Science and Technology Xi’an Jiao tong University Xi’an Shaanxi China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.R&D Xi’an Jiao tong University Xi’an Shaanxi China the First Affiliated Hospital of Xi’an Jiaotong University Xi’an Shaanxi China
Nuclei segmentation is a fundamental task in digital pathology analysis and can be automated by deep learning-based methods. However, the development of such an automated method requires a large amount of data with pr... 详细信息
来源: 评论
Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC
Improved Sparse Activity Detection Based on Optimized Measur...
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IEEE Conference on Vehicular technology (VTC)
作者: Jianyu Wang Liu Yang Chaoyuan Bai Heng Liu Communication and Sensor Network for Modern Transportation International Cooperation Center(CSNMT) Southwest Jiaotong University Chengdu P.R.China Key Lab of Information Coding & Transmission Institude of Mobile Communication Southwest Jiaotong University Chengdu P.R.China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu P.R.China
Device activity detection and channel estimation are central problems in massive Machine Type Communication (mMTC) scenarios. Given the sparse distribution of active devices, compressive sensing (CS) emerges as a viab... 详细信息
来源: 评论
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
arXiv
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arXiv 2024年
作者: Sun, Shilin An, Wenbin Tian, Feng Nan, Fang Liu, Qidong Liu, Jun Shah, Nazaraf Chen, Ping School of Computer Science and Technology Xi’an Jiaotong University Xi’an710049 China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an710049 China Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an710049 China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Xi’an710049 China Institute for Future Transport and Cities Coventry University Priory Street CoventryCV1 5FB United Kingdom Department of Engineering University of Massachusetts Boston BostonMA02125 United States
Artificial intelligence (AI) has rapidly developed through advancements in computational power and the growth of massive datasets. However, this progress has also heightened challenges in interpreting the "black-... 详细信息
来源: 评论
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis
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ACM Transactions on Autonomous and Adaptive Systems 1000年
作者: Peng Xiao Dajiang Chen Zhen Qin Mingsheng Cao Ruidong Chen Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China China School of Computer Science & Engineering University of Electronic Science and Technology of China China
With the emergence of edge computing, there’s a growing need for advanced technologies capable of real-time, efficient processing of complex data on edge devices, particularly in mobile health systems handling pathol... 详细信息
来源: 评论
Self-Evolutionary Neuron Model for Fast-Response Spiking Neural networks
TechRxiv
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TechRxiv 2019年
作者: Zhang, Anguo Han, Ying Hu, Jing Niu, Yuzhen Gao, Yueming Chen, Zhizhang Zhao, Kai College of Physics and Information Engineering Fuzhou University Fujian350108 China The Key Laboratory of Medical Instrumentation Pharmaceutical Technology of Fujian Province Fuzhou350116 China Research Institute of Ruijie Ruijie Networks Co. Ltd Fujian350002 China School of Public Health Xiamen University Xiamen361102 China College of Information and Intelligent Transportation Fujian Chuanzheng Communications College Fuzhou350007 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University The Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fujian350108 China College of Physics and information Engineering Fuzhou University the Key Laboratory of Medical Instrumentation Pharmaceutical Technology of Fujian Province Fujian350108 China College of Physics and Information Engineering Fuzhou University 350108 China Faculty of Science and Technology University of Macau 999078 China
We propose two simple and effective spiking neuron models to improve the response time of the conventional spiking neural network. The proposed neuron models adaptively tune the presynaptic input current depending on ... 详细信息
来源: 评论
Toward Communication Optimization for Future Underwater networking: A Survey of Reinforcement Learning-Based Approaches
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IEEE Communications Surveys and Tutorials 2024年
作者: Wang, Ziyuan Du, Jun Hou, Xiangwang Wang, Jingjing Jiang, Chunxiao Zhang, Xiao-Ping Ren, Yong Shenzhen Key Laboratory of Ubiquitous Data Enabling Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China the Department of Electronic Engineering Tsinghua University Beijing100084 China the School of Cyber Science and Technology Beihang University Beijing100191 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen518055 China Network and Communication Research Center Peng Cheng Laboratory Shenzhen518055 China
—As an essential part of the 6G sea-land-air integrated network, underwater networking has attracted increasing attention and has been widely studied. The key for improving its performance is the communication optimi... 详细信息
来源: 评论
Predictability of real temporal networks
arXiv
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arXiv 2020年
作者: Tang, Disheng Du, Wenbo Shekhtman, Louis Wang, Yijie Havlin, Shlomo Cao, Xianbin Yan, Gang School of Electronic and Information Engineering Beihang University Beijing100191 China School of Physics Science and Engineering Tongji University Shanghai200092 China National Engineering Laboratory of Big Data Application Technologies of Comprehensive Transportation Beijing100191 China Network Science Institute Northeastern University BostonMA02115 United States Department of Physics Bar Ilan University Ramat Gan5290002 Israel Shanghai Institute of Intelligence Science and Technology Tongji University Shanghai200092 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China
Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has a profound effect on network dynamics and function. Empirical evid... 详细信息
来源: 评论
Cooperative Multi-source data Trading
Cooperative Multi-source Data Trading
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IEEE Conference on Global Communications (GLOBECOM)
作者: Jin Cheng Ningning Ding John C. S. Lui Jianwei Huang School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society The Chinese University of Hong Kong Shenzhen Data Science and Analytics Thrust Information Hub Hong Kong University of Science and Technology Guangzhou Department of Computer Science and Engineering The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network and CSIJRI Joint Research Centre on Smart Energy Storage The Chinese University of Hong Kong Shenzhen
In the era of big data, data trading significantly enhances data-driven technologies by facilitating data sharing. Despite the clear advantages often experienced by data users when incorporating multiple sources, the ... 详细信息
来源: 评论
Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional network
Structured Information Extraction of Pathology Reports with ...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Jialun Wu Kaiwen Tang Haichuan Zhang Chunbao Wang Chen Li School of Computer Science and Technology Xi’an Jiaotong University Xi’an Shaanxi China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University Xi’an Shaanxi China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.R&D Xi’an Jiaotong University Xi’an Shaanxi China School of Computer Science and Technology Qian Xuesen College Xi’an Jiaotong University Xi’an Shaanxi China the First Affiliated Hospital of Xi’an Jiaotong University Xi’an Shaanxi China
Electronic medical data contains biochemical, imaging, pathological information during diagnosis and treatment. The pathology report is a kind of highly liberalized unstructured textual data, which is the basis and go... 详细信息
来源: 评论
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
arXiv
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arXiv 2024年
作者: Wu, Yinyu Zhang, Xuhui Ren, Jinke Shen, Yanyan Yang, Bo Wang, Shuqiang Guan, Xinping Niyato, Dusit The Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong518055 China The University of Chinese Academy of Sciences Beijing100049 China The Shenzhen Future Network of Intelligence Institute The School of Science and Engineering The Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Guangdong Shenzhen518172 China Shenzhen University of Advanced Technology Guangdong518055 China The Department of Automation The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai200240 China The College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and better energy efficiency. However, the r... 详细信息
来源: 评论