检索结果-内蒙古大学图书馆

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - cibd 2014: 2014 ieee symposium on computational intelligence in big data, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 ieee symposium on computational intelligence in big data, cibd 2014

ISBN: (纸本)9781479945412

The proceedings contain 18 papers. The topics discussed include: sparse Bayesian approach for feature selection;sentiment analysis for various SNS media using naive Bayes classifier and its application to flaming detection;increasing big data front end processing efficiency via locality sensitive bloom filter for elderly healthcare;challenges in designing an online healthcare platform for personalised patient analytics;application of sparse matrix clustering with convex-adjusted dissimilarity matrix in an ambulatory hospital specialist service;microarray big data integrated analysis for the prediction of robust diagnostics signature for triple-negative breast cancer;mining the prescription-symptom regularity of TCM for HIV/AIDS based on complex network;regularity of herbal formulae for HIV/AIDS patients with syndromes based on complex networks;and methods and technologies of traditional Chinese medicine clinical information datamation in real world.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Serverless Microservice Architecture for Cloud-Edge intelligence in Sensor Networks

引用

ieee SENSORS JOURNAL 2025年第5期25卷 7875-7885页

作者： Loconte, Davide Ieva, Saverio Gramegna, Filippo Bilenchi, Ivano Fasciano, Corrado Pinto, Agnese Loseto, Giuseppe Scioscia, Floriano Ruta, Michele Di Sciascio, Eugenio Polytech Univ Bari Dept Elect & Informat Engn I-70125 Bari Italy LUM Giuseppe Degennaro Univ Dept Engn I-70010 Casamassima Italy

Machine learning (ML) is increasingly exploited in a wide range of application areas to analyze data streams from large-scale sensor networks, train predictive models, and perform inference. The cloud-edge intelligence (CEI) computing paradigm integrates cloud infrastructures for resource-intensive ML tasks with devices at the border of a local network for distributed data preprocessing, small-scale model training, and prediction tasks. This can achieve a tunable trade-off of ML accuracy with improved data privacy, response latency, and bandwidth usage. Prevalent CEI architectures are based on microservices encapsulated in containers, but serverless computing is emerging as an alternative model. It is based on stateless event-driven functions to facilitate the development and provisioning of application components, increase the infrastructure elasticity, and reduce management effort. This article proposes a novel CEI framework for sensor-based applications, exploiting serverless computing for data management and ML tasks. Small-scale model training occurs at the edge with local data for quick prediction response, while large-scale models are trained in the cloud with the full sensor network data, and then, they are fed back to edge nodes for a progressive accuracy improvement. A fully functional prototype has been built by leveraging open-source software tools, selected devices for field sensing and edge computing (EC), and a commercial cloud platform. Experiments validate the feasibility and sustainability of the proposal, compared with an existing container-oriented microservice architecture.

关键词： Cloud computing Sensors Training Computer architecture Microservice architectures computational modeling data models Accuracy Internet of Things Intelligent sensors Cloud-edge intelligence (CEI) machine learning (ML) microservices sensor networks serverless computing

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - CIDM 2014: 2014 ieee symposium on computational intelligence and data Mining, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

5th ieee symposium on computational intelligence and data Mining, CIDM 2014

ISBN: (纸本)9781479945191

The proceedings contain 67 papers. The topics discussed include: clustering data over time using kernel spectral clustering with memory;agglomerative hierarchical kernel spectral data clustering;quantum clustering - a novel method for text analysis;generalized information theoretic cluster validity indices for soft clusterings;a density-based clustering of the self-organizing map using graph cut;new bilinear formulation to semi-supervised classification based on kernel spectral clustering;convex multi-task relationship learning using hinge loss;precision-recall-optimization in learning vector quantization classifiers for improved medical classification systems;semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy;and relational data partitioning using evolutionary game theory.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - CIES 2014: 2014 ieee symposium on computational intelligence for Engineering Solutions, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 ieee symposium on computational intelligence for Engineering Solutions, CIES 2014

ISBN: (纸本)9781479945108

The proceedings contain 28 papers. The topics discussed include: if we take into account that constraints are soft, then processing constraints becomes algorithmically solvable;why ricker wavelets are successful in processing seismic data: towards a theoretical explanation;fuzzy local linear approximation-based sequential design;incorporating decision maker preference in multiobjective evolutionary algorithm;visualizing uncertainty with fuzzy rose diagrams;reliable condition monitoring of an induction motor using a genetic algorithm based method;artificial intelligence-based modeling and optimization of microdrilling processes;a tabu-search algorithm for two-machine flow-shop with controllable processing times;and from offline to onboard system solution for a control sequence optimization problem.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - EALS 2014: 2014 ieee symposium on Evolving and Autonomous Learning Systems, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 ieee symposium on Evolving and Autonomous Learning Systems, EALS 2014

ISBN: (纸本)9781479944958

The proceedings contain 18 papers. The topics discussed include: anomaly detection based on eccentricity analysis;recursive possibilistic fuzzy modeling;embodied artificial life at an impasse: can evolutionary robotics methods be scaled?;topological stability of evolutionarily unstable strategies;real time road traffic monitoring alert based on incremental learning from tweets;influence of the data codification when applying evolving classifiers to develop spoken dialog systems;an apprenticeship learning hyper-heuristic for vehicle routing in HyFlex;classification and segmentation of fMRI spatio-temporal brain data with a NeuCube evolving spiking neural network model;and self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - CICARE 2014: 2014 ieee symposium on computational intelligence in Healthcare and e-Health, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 2nd ieee symposium on computational intelligence in Healthcare and e-Health, CICARE 2014

ISBN: (纸本)9781479945283

The proceedings contain 27 papers. The topics discussed include: a feasibility study of using a single kinect sensor for rehabilitation exercises monitoring: a rule based approach;automating assessment in video game teletherapy: data cutting;an efficient computer aided decision support system for breast cancer diagnosis using echo state network classifier;intelligent image processing techniques for cancer progression, detection, recognition and prediction in the human liver;an approximate inverse recipe method with application to automatic food analysis;the design, implementation and evaluation of a relaxation service with facial emotion detection;intelligent emotions stabilization system using standardized images, breath sensor and biofeedback - new concept;and cognitively inspired speech processing for multimodal hearing technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014: 2014 ieee symposium Series on computational intelligence - CICS 2014: 2014 ieee symposium on computational intelligence in Cyber Security, Proceedings

IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational ...

引用

2014 ieee symposium on computational intelligence in Cyber Security, CICS 2014

ISBN: (纸本)9781479945221

The proceedings contain 13 papers. The topics discussed include: biobjective NSGA-II for optimal spread spectrum watermarking of color frames: evaluation study;G-NAS: a grid-based approach for negative authentication;user identification through command history analysis;quantifying the impact of unavailability in cyber-physical environments;automated testing for cyber threats to ad-hoc wireless networks;automatic attack surface reduction in next-generation industrial control systems;supervised learning to detect DDoS attacks;benchmarking two techniques for tor classification: flow level and circuit level classification;spark-based anomaly detection over multi-source VMware performance data in real-time;the analysis of feature selection methods and classification algorithms in permission based android malware detection;a novel bio-inspired predictive model for spam filtering based on dendritic cell algorithm;and a theoretical Q-learning temporary security repair.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - MCDM 2014: 2014 ieee symposium on computational intelligence in Multi-Criteria Decision-Making, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 ieee symposium on computational intelligence in Multi-Criteria Decision-Making, MCDM 2014

ISBN: (纸本)9781479944682

The proceedings contain 28 papers. The topics discussed include: Robustness Threshold Methodology for Multi-criteria based Ranking using Imprecise data;Generating Diverse and Accurate Classifier Ensembles Using Multi-Objective Optimization;Selection of Solutions in Multi-Objective Optimization: Decision Making and Robustness;A Multi-objective Genetic Algorithm based on NSGA /I for Deriving Final Ranking from a Medium-Sized Fuzzy Outranking Relation;Clustering Decision Makers with respect to similarity of views;Multi-Genomic Algorithms;A Perceptual Fuzzy Neural Model;Multi-criteria Approaches for Predictive Model Generation: A Comparative Experimental Study;Evaluation of E-commerce System Trustworthiness Using Multi-criteria Analysis;and Nonlinear Programming Models and Method for Interval- Valued Multi-objective Cooperative Games.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ieee SSCI 2014 - 2014 ieee symposium Series on computational intelligence - CIBCI 2014: 2014 ieee symposium on computational intelligence in Brain Computer Interfaces, Proceedings

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...

引用

2014 ieee symposium on computational intelligence in Brain Computer Interfaces, CIBCI 2014

ISBN: (纸本)9781479945443

The proceedings contain 10 papers. The topics discussed include: development of an autonomous BCI wheelchair;across-subject estimation of 3-back task performance using EEG signals;abnormal event detection in EEG imaging - comparing predictive and model-based approaches;sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface;electroencephalographic method using fast Fourier transform overlap processing for recognition of right- or left-handed elbow flexion motor imagery;development of SSVEP-based BCI using common frequency pattern to enhance system performance;EEG-based golf putt outcome prediction using support vector machine;non-supervised technique to adapt spatial filters for ECoG data analysis;identification of three mental states using a motor imagery based brain machine interface;and EEG subspace analysis and classification using principal angles for brain-computer interfaces.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Joint Task Partitioning and Resource Allocation in UAV-Enabled Vehicular Edge Computing Based on Deep Reinforcement Learning

引用

ieee Internet of Things Journal 2025年第11期12卷 15453-15466页

作者： Liang, Hongbin Zhang, Han Ale, Laha Hong, Xintao Wang, Lei Jia, Qiong Zhao, Dongmei Southwest Jiaotong University School of Transportation and Logistics National United Engineering Laboratory of Integrated and Intelligent Transportation National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu611756 China Southwest Jiaotong University School of Computing and Artificial Intelligence Chengdu611756 China Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Chinese Academy of Sciences Laboratory of Noise and Vibration Research Institute of Acoustics Beijing100190 China McMaster University Department of Electrical and Computer Engineering HamiltonONL8S 4K1 Canada

Vehicle Edge Computing (VEC) leverages compact cloud computing at the mobile network edge to meet the processing and latency needs of vehicles. By bringing computation closer to the vehicles, VEC reduces data transmission, minimizes latency, and boosts performance for compute-intensive applications. However, during peak hours of urban road traffic, the scarce computational resources available at edge servers could pose challenges in fulfilling the processing needs of vehicles. Introducing Unmanned Aerial Vehicles (UAVs) as supplementary edge computing nodes could significantly mitigate the aforementioned issue. In this paper, we propose a flexible edge computing framework in which a fleet of UAVs function as mobile computational service providers, offering computation offloading services to multiple vehicles. We design and optimize a computation offloading model for the UAV-enabled vehicle edge computing environment. The proposed model tackles the task offloading challenge, aiming to optimize UAV revenue and task processing efficiency while considering the constraints of UAVs' restricted computational power and energy resources. Towards this end, our model jointly considers two key factors: task partitioning and computational resource allocation. To tackle the challenges posed by the aforementioned non-convex optimization problem, we construct a Markov Decision Process (MDP) model for the multi-UAV-enabled mobile edge computing system and introduce an innovative Multi-Agent Deep Reinforcement Learning (MADRL) framework addressing the decision-making challenge represented by MDP model. Comprehensive simulation outcomes illustrate that our devised task offloading technique outperforms other optimization methods. © 2014 ieee.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：