Results 91 to 100 of about 9,149 (290)

Data Integrity Verification in Mobile Edge Computing With Multi-Vendor and Multi-Server

, 2023
The emerging Mobile Edge Computing (MEC) paradigm reforms the way of data caching by motivating App vendors to store latency-sensitive data on distributed edge servers.
Y Zhao (5839079), Y Qu (9976652), Yong Xiang (13101027), Feifei Chen (13069737), Longxiang Gao (13081947)   +4 more
core  

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Toward Understanding Federated Learning over Unreliable Networks

IEEE Transactions on Machine Learning in Communications and Networking
This paper studies the efficiency of training a statistical model among an edge server and multiple clients via Federated Learning (FL) – a machine learning method that preserves data privacy in the training process – over wireless networks.
Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang   +5 more
doaj   +1 more source

Research on Truth Discovery Method for Privacy Protection of Long-Tail Data [PDF]

Jisuanji gongcheng
Crowd-sensing technology allows to conveniently collect data from a large number of sensing devices. However, owing to issues such as device accuracy and background noise, the perception results of participants in crowdsensing tasks are often unreliable.
WEN Aijun, LIU Zesan, WANG Zhenya, FU Chenghua
doaj   +1 more source

Computational algorithm and parameter optimization for a multi-server system with unreliable servers and impatient customers

Journal of Computational and Applied Mathematics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chia-Huang Wu, Jau-Chuan Ke
openaire   +2 more sources

Some Characterizations of the Exponential Distribution related to a Single-server Queueing System with an Unreliable Server

, 2002
Consider a single-server queueing system with an unreliable server and service repetition. In this system, if the service is interrupted, the service is restarted anew immediately and ends whenever the service period is failure free.
Wu, Sin-Ru
core  

A maximum entropy approach for the < p, N >-policy M/G/1 queue with a removable and unreliable server

, 2014
This paper analyzes a single removable and unreliable server in the -policy M/G/1 queue in which the server breaks down according to a Poisson process and the repair time obeys an arbitrary distribution. We assume that when the number of customers in the
Wang, K.H., 王國雄, Huang, K.B.
core   +1 more source

An Unreliable Batch Arrival Retrial Queueing System With Bernoulli Vacation Schedule and Linear Repeated Attempts: Unreliable Retrial System With Bernoulli Schedule

, 2020
This article deals with the steady-state behavior of an MX/G/1 retrial queue with the Bernoulli vacation schedule and unreliable server, under linear retrial policy.
Gautam Choudhury, Lotfi Tadj
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

GalaxyTBM: template-based modeling by building a reliable core and refining unreliable local regions

BMC Bioinformatics, 2012
Background Protein structures can be reliably predicted by template-based modeling (TBM) when experimental structures of homologous proteins are available.
Ko Junsu, Park Hahnbeom, Seok Chaok
doaj   +1 more source