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	Structure-Preserving Diffusion Model for Unpaired Medical Image Translation 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024 作者: Wang, Haoshen; Wang, Xiaodong; Cui, Zhiming Adobe PDF(2971Kb) \| 收藏 \| 浏览/下载：227/1 \| 提交时间：2024/11/29 Computerized tomography Anatomical structure preserving Anatomical structures Clinical diagnosis Diffusion model Edge information Image translation Multi-modality imaging Novel structures Structure-preserving Unpaired image translation
	Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits 会议论文 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, Dubai, United Arab Emirates, 21-24 April 2024 作者: Tianyi Zhang; Shangshang Wang; YInxv Tang; Ziyu Shao; Yang Yang 收藏 \| 浏览/下载：298/0 \| 提交时间：2024/03/15 Budget control Decision making Privacy-preserving techniques Decisions makings Edge intelligence End-devices Information sharing Modeling features Network edges Privacy concerns Privacy preservation Privacy preserving User privacy
	Federated Learning with Massive Random Access 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1 作者: Shuhao Xia; Yuanming Shi; Yong Zhou; Youlong Wu; Lin F. Yang Adobe PDF(19176Kb) \| 收藏 \| 浏览/下载：338/1 \| 提交时间：2024/06/11 E-learning Information management Learning systems Random variables Edge server Federated learning Grant-free massive random access Optimisations Performances evaluation Pilot length optimization Random access Resource management Wireless communications
	Enhanced Hybrid Hierarchical Federated Edge Learning Over Heterogeneous Networks 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 卷号: PP, 期号: 99, 页码: 1-15 作者: Qimei Chen; Zehua You; Dingzhu Wen; Zhaoyang Zhang Adobe PDF(5185Kb) \| 收藏 \| 浏览/下载：252/1 \| 提交时间：2023/07/14 Computer architecture Edge computing Hierarchical systems Information management Learning systems Markov processes Network architecture Network layers Resource allocation Cloud layers Computational modelling Device layers Device resources Device selection Edge computing Federated edge learning Local model Resource management Semi-asynchronoi Computer architecture Edge computing Hierarchical systems Information management Learning systems Markov processes Network architecture Network layers Resource allocation Cloud layers Computational modelling Device layers Device resources Device selection Edge computing Federated edge learning Local model Resource management Semi-asynchronoi
	Timely Split Inference in Wireless Networks: An Accuracy-Freshness Tradeoff 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 卷号: PP, 期号: 99, 页码: 1-6 作者: Luteng Qiao; Yong Zhou Adobe PDF(457Kb) \| 收藏 \| 浏览/下载：451/1 \| 提交时间：2023/07/28 Feature extraction Job analysis Markov processes Quantization (signal) Wireless networks Age of information Discriminant gain Edge inference Edge server Features extraction Features vector Inference systems Principal-component analysis Quantization (signal) Task analysis
	Individualized assessment of brain A deposition with fMRI using deep learning 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: PP, 期号: 99, 页码: 1-12 作者: Li, Chaolin; Liu, Mianxin; Xia, Jing; Mei, Lang; Yang, Qing Adobe PDF(2993Kb) \| 收藏 \| 浏览/下载：296/1 \| 提交时间：2023/09/08 Bioinformatics Biomarkers Classification (of information) Convolution Deposition Diagnosis Forestry Magnetic resonance imaging Mean square error Medical imaging Amyloid β Brain modeling Convolutional networks Functional connectivity Functional magnetic resonance imaging Graph convolutional network High-order High-order functional connectivity Higher-order Image edge detection
	Joint selection of brain network nodes and edges for MCI identification 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 225 作者: Jiang, Xiao; Qiao, Lishan; De Leone, Renato; Shen, Dinggang Adobe PDF(3177Kb) \| 收藏 \| 浏览/下载：331/0 \| 提交时间：2022/10/14 Biomarkers Classification (of information) Diagnosis Feature Selection Graph theory Neurodegenerative diseases Risk perception Brain networks Brain regions Cognitive impairment Edge-based methods Features selection Functional brain graph Mild cognitive impairment identification Node-based Node-based method Sparse group LASSO
	FLIRRAS: Fast Learning with Integrated Reward and Reduced Action Space for Online Multi-Task Offloading 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 10, 期号: 6, 页码: 1-1 作者: Ma, Mulei; Gong, Chenyu; Wu, Liantao; Yang, Yang Adobe PDF(3279Kb) \| 收藏 \| 浏览/下载：246/1 \| 提交时间：2022/12/16 Complex networks Computer games Convex optimization Deep neural networks E-learning Edge computing Game theory Heuristic algorithms Information management Internet of things Iterative methods Numerical methods Quality of service Reinforcement learning Edge computing Heuristics algorithm Low-complexity deep reinforcement learning Lower complexity Multi-access edge computing Multiaccess Online task offloading Optimisations Reinforcement learnings Resource management Resources allocation Task analysis Task offloading
	Peer Offloading with Delayed Feedback in Fog Networks 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 17, 页码: 13690-13702 作者: Miao Yang; Hongbin Zhu; Hua Qian; Yevgeni Koucheryavy; Konstantin Samouylov Adobe PDF(785Kb) \| 收藏 \| 浏览/下载：571/182 \| 提交时间：2021/12/03 Fog Computation burden Computation offloading Contention resolution Delayed information Performance analysis Performance metrices Real time application Selection problems Task analysis Computational modeling Peer-to-peer computing Internet of Things Real-time systems Heuristic algorithms Edge computing Adversarial multiarm bandit delayed feedback fog computing reinforcement learning task offloading
	An Efficient Binary Convolutional Neural Network with Numerous Skip Connections for Fog Computing 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 14, 页码: 11357-11367 作者: Lijun Wu; Xu Lin; Zhicong Chen; Jingchang Huang; Huawei Liu Adobe PDF(1614Kb) \| 收藏 \| 浏览/下载：429/0 \| 提交时间：2021/12/03 Classification (of information) Convolution Convolutional neural networks Deep learning Fog Binary neural networks Classification accuracy Classification performance Classification results Convolution kernel Network features Receiver operating characteristic curves State of the art algorithms Neural networks Edge computing Cloud computing Acceleration Feature extraction Internet of Things Binary convolutional neural networks concatenation fog computing max-pooling operation skip connections straight-through estimator (STE)

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