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 dete...
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 bigdata 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 bigdata 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.
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...
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.
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 intelligenc...
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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.
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 pr...
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.
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 robotic...
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 computationalintelligence: enhancing autonomous control by machine intelligence.
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 t...
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.
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;...
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.
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-...
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.
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 imagi...
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.
The proceedings contain 62 papers. The topics discussed include: identification of a linear driver model based on simulator experiments;temperature modeling and simulation of the asphaltic emulsion in an industrial ta...
ISBN:
(纸本)9781479946945
The proceedings contain 62 papers. The topics discussed include: identification of a linear driver model based on simulator experiments;temperature modeling and simulation of the asphaltic emulsion in an industrial tank;data-driven model-free adaptive control of twin rotor aerodynamic systems;state estimation method for aircraft identification purposes;study on experimental plant of positioning control solutions for processes with variable moment of inertia;how to survive email;applied process mining in software development;evaluating software maintenance processes in small software company based on fuzzy screening;clone detection algorithm based on the abstract syntax tree approach;comparison of modified smith predictor and PID controller tuned by genetic algorithms for greenhouse climate control;and consideration about on-line parameters estimation of an induction generator model.
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