yusuke1997/dblp-id-title huggingface dataset:
Situation aware RFID system: evaluating abnormal behavior detecting approach
Fine-Grained Tailoring of Component Behaviour for Embedded Systems
Consumer-centric service-oriented architecture: a new approach
Third IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, SEUS 2005, Seattle, WA, USA, May 16-17, 2005
Real-time support of flash memory file system for embedded applications
Managing the Aladdin Home Networking System: An Experience Report
Exploring the Design Space for Network Protocol Stacks on Special-Purpose Embedded Systems
SLAP: A Location-Aware Software Infrastructure for Smart Space
Distributed k-NN Query Processing for Location Services
Crash Recovery in FAST FTL
A Study of Developing Virtual Prototyping by Using JavaBean Interface Tool and SystemC Engine
A fault tolerance mechanism for network intrusion detection system based on intelligent agents (NIDIA)
GENSEN: A Topology Generator for Real Wireless Sensor Networks Deployment
Leveraging GIS Technologies for Web-Based Smart Places Services
Service Orchestration Using the Chemical Metaphor
An objectified naming system for providing context transparency to context-aware applications
Real-Sense Media Representation Technology Using Multiple Devices Synchronization
Software Technologies for Embedded and Ubiquitous Systems, 5th IFIP WG 10.2 International Workshop, SEUS 2007, Santorini Island, Greece, May 2007. Revised Papers
DPDP: An Algorithm for Reliable and Smaller Congestion in the Mobile Ad-Hoc Network
CALM: an intelligent agent-based middleware for community computing
From Model Driven Engineering to Verification Driven Engineering
Reactive Clock Synchronization for Wireless Sensor Networks with Asynchronous Wakeup Scheduling
A Novel Approach for Security and Robustness in Wireless Embedded Systems
Advancements in Dependable Time-Triggered Communication
Automated Maintainability of TTCN-3 Test Suites Based on Guideline Checking
Self-describing and Data Propagation Model for Data Distribution Service
A Model-Driven Software Development Approach Using OMG DDS for Wireless Sensor Networks
Model-Based Testing of GUI-Driven Applications
A Single-Path Chip-Multiprocessor System
Location-Aware Web Service by Utilizing Web Contents Including Location Information
Power Modeling of Solid State Disk for Dynamic Power Management Policy Design in Embedded Systems
Algorithmic Skeletons for the Programming of Reconfigurable Systems
A data mining based genetic algorithm
An Efficient Method to Create Business Level Events Using Complex Event Processing Based on RFID Standards
Resource Management Based on Personal Service Aggregations in Smart Spaces
On Distributed Real-Time Scheduling in Networked Embedded Systems in the Presence of Crash Failures
Context-Aware Deployment of Services in Public Spaces
Probabilistic Optimization and Assessment of Voting Strategies for X-by-Wire Systems
Data Services in Distributed Real-Time Embedded Systems
Integrated Notification Architecture Based on Overlay Against DDoS Attacks on Convergence Network
Joining a Distributed Shared Memory Computation in a Dynamic Distributed System
Software Technologies for Embedded and Ubiquitous Systems, 7th IFIP WG 10.2 International Workshop, SEUS 2009, Newport Beach, CA, USA, November 16-18, 2009, Proceedings
Development of Distributed Programming Developing Tool-Kit Based on Object Group Model
Soft Real-Time Task Response Time Prediction in Dynamic Embedded Systems
A QoS model and testing mechanism for quality-driven Web services selection
RG-EDF: An I/O Scheduling Policy for Flash Equipped Sensor Devices
Hyrax - A Hyperlink-Based Application Framework for Smart Devices
The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems and the Second International Workshop on Collaborative Computing, Integration, and Assurance, SEUS 2006 / WCCIA 2006, Gyeongju, South Korea, April 27-28, 2006
A Fault-Tolerant Scheduling Scheme for Hybrid Tasks in Distributed Real-Time Systems
OTAWA: An Open Toolbox for Adaptive WCET Analysis
QoS-Adaptive Router Based on Per-Flow Management over NGN
Software Technologies for Embedded and Ubiquitous Systems, 6th IFIP WG 10.2 International Workshop, SEUS 2008, Anacarpi, Capri Island, Italy, October 1-3, 2008, Proceedings
A leader election protocol for eventually synchronous shared memory systems
Methods for Increasing Coverage in Wireless Sensor Networks
Towards a Middleware Approach for a Self-configurable Automotive Embedded System
Cross-Platform Verification Framework for Embedded Systems
The MHS methodology: analysis and design for context-aware systems
Resolving Performance Anomaly Using ARF-Aware TCP
Searching Visual Media Service Providers Using ASN.1-Based Ontology Reasoning
Making Middleware Secure on Embedded Terminals
An Experimental Framework for the Analysis and Validation of Software Clocks
Building a Customizable User Interface Framework Using Hyperlinks for Smart Devices
Analysis of User Perceived QoS in Ubiquitous UMTS Environments Subject to Faults
On the Schedulability Analysis for Dynamic QoS Management in Distributed Embedded Systems
Designing Fault-Tolerant Component Based Applications with a Model Driven Approach
Community Computing Model Supporting Community Situation Based Strict Cooperation and Conflict Resolution
Model Based Synthesis of Embedded Software
Optimizing Mobile Application Performance with Model-Driven Engineering
The GENESYS Architecture: A Conceptual Model for Component-Based Distributed Real-Time Systems
Achievement of High-speed Processing by Autonomous Decentralized Processing and Decentralized Algorithm in a Wired-and-Wireless Integrated IC Card Ticket System
Formal Specification of Gateways in Integrated Architectures
Self-organizing Resource-Aware Clustering for Ad Hoc Networks
On-Chip Bus Architecture Optimization for Multi-core SoC Systems
Automatically building service evaluation metadata in a grid environment
Code Generation for Embedded Java with Ptolemy
Error Detection Rate of MC/DC for a Case Study from the Automotive Domain
An Embedded Integration Prototyping System Based on Component Technique
Towards an Artificial Hormone System for Self-organizing Real-Time Task Allocation
Building a bridge for heterogeneous sensor networks
Exact Schedulability Analysis for Static-Priority Global Multiprocessor Scheduling Using Model-Checking
Approximate Worst-Case Execution Time Analysis for Early Stage Embedded Systems Development
Safety Property Analysis Techniques for Cooperating Embedded Systems Using LTS
Application of Safety Analyses in Model Driven Development
Real-Time Access Guarantees for NAND Flash Using Partial Block Cleaning
Applying Architectural Hybridization in Networked Embedded Systems
Testing Embedded Control Systems with TTCN-3
PSM approach to Web service composition
Event-Driven Power Management for Wireless Sensor Networks
Development of Field Monitoring Server System and Its Application in Agriculture
Delay-Aware Mobile Transactions
A Framework for Supporting the Configuration and Automatic Integration of Heterogeneous Location Sensors
Implementation of New Services to Support Ubiquitous Computing for Town Life
Energy-Efficient Process Allocation Algorithms in Peer-to-Peer Systems
A Task Decomposition Scheme for Context Aggregation in Personal Smart Space
Composition Kernel: A Multi-core Processor Virtualization Layer for Rich Functional Smart Products
Ubiquitous Verification of Ubiquitous Systems
Design and Implementation of Peripheral Sharing Mechanism on Pervasive Computing with Heterogeneous Environment
Another real-time operating system and unified MAC protocol for home controlling and monitoring
An Operating System Architecture for Future Information Appliances
Towards Trustworthy Self-optimization for Distributed Systems
An Effective Path Selection Method in Multiple Care-of Addresses MIPv6 with Parallel Delay Measurement Technique
Measurement-Based Worst-Case Execution Time Analysis
A Review on System Architectures for Sensor Fusion Applications
Message from the Technical Program Co-Chairs
Energy-Aware Routing for Wireless Sensor Networks by AHP
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps
YOLO TrashNet: Garbage Detection in Video Streams
A kinodynamic planning-learning algorithm for complex robot motor control
Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems
Tackling uncertainties in self-optimizing systems by strategy blending
Dead-zone logic in autonomic systems
User modeling in changeable environments
Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network
Situational Awareness I2X Pipeline Methodology for LiDAR-based Sensor Networks at the Edge of Internet of Things
Adaptive animation generation using web content mining
Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification
Multi-Word-Co-occurrence collection from texts for health-problem diagnosis
Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data
Spatio-Temporal Data Clustering using Deep Learning: A Review
Wind turbine modeling with the slopes algorithm
A 2 DOF predictive control based on evolving fuzzy model
Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability
An experimental protocol for the evaluation of open-ended category learning algorithms
A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast
On-line active learning based on enhanced reliability concepts
ANFIS data driven modeling and real-time Fuzzy Logic Controller test for a Two Tanks Hydraulic System
Kernel evolution for support vector classification
A Proposal of Case-Based Approach to Clinical Pathway Modeling Support
Efficient SQL adaptive query processing in cloud databases systems
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease
Online Sequential Ensembling of Fuzzy Systems
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem
Improving cells recognition by local database categorization in Artificial Immune System algorithm. Application to breast cancer diagnosis
Autonomous learning multi-model classifier of 0-Order (ALMMo-0)
On-line identification with regularised Evolving Gaussian process
New fuzzy approximate model for indirect adaptive control of distributed solar collectors
Online self-evolving fuzzy controller for autonomous mobile robots
Automatic visual identification of correct matches in unmanned aerial vehicle images for visual-based attitude estimation
An Active Learning Approach for Classifying Explosion Quakes
Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods
Evolution of an adaptive unsupervised speech controlled system
Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet
Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach
A property of learning chunk data using incremental kernel principal component analysis
Real-time video thresholding using evolutionary techniques and cross entropy
Analysis of adaptation law of the robust evolving cloud-based controller
A Simplified Structure Evolving Method for Fuzzy System structure learning
IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024
Multi-expert evolving system for objective psychophysiological monitoring and fast discovery of effective personalized therapies
Reflected PSO for Robot Path Planning
A non-parametric hierarchical clustering model
An adaptable deep learning system for optical character verification in retail food packaging
Reliable localized on-line learning in non-stationary environments
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022
Network robustness and topological characteristics in scale-free networks
Kalman filtering with a new state-space model for three-phase systems: Application to the identification of symmetrical components
Time series forecasting using Artificial Neural Networks vs. evolving models
Evolving iterative methods for simultaneous identification and control
Comparison of conventional closed-loop controller with an adaptive controller for a disturbed thermodynamic system
An agent based model of stress in the workplace
Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems
Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining
Estimation of moving agents density in 2D space based on LSTM neural network
Ultrasonic sensor-based human detector using one-class classifiers
Deep reinforcement learning for frontal view person shooting using drones
Evolving fuzzy systems for pricing fixed income options
Incremental classification of process data for anomaly detection based on similarity analysis
Color adaptation for protanopia using differential evolution-based fuzzy clustering: A case study in digitized paintings
Intelligent system for automatic reconfiguration of distribution networks
A genetic algorithm for self-optimization in safety-critical resource-flow systems
Supplementary decision system for messages coming from the interpretation of anomalies in time series
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study
Resolving global and local drifts in data stream regression using evolving rule-based models
Wind turbine modeling with an analytic algorithm
Dynamically evolving clustering for data streams
Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces
Evolving fuzzy models for the position control of magnetic levitation systems
Evolving possibilistic fuzzy modeling for equity options pricing
Evolving fuzzy model for short-term prediction of energy consumption profiles
Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems
Initial study on evolving state space neural networks (eSSNN)
On the transferability of local model-agnostic explanations of machine learning models to unseen data
Drift detection in data stream classification without fully labelled instances
Credit scoring based on a continuous scale for on-line credit quality control
An efficient approach for parameter estimation of PV model using DE and fuzzy based MPPT controller
Online person identification and new person discovery using appearance features
Decoy Meta-Clustering Through Rough Graded Possibilistic C-Medoids
Content-based audio classification using collective network of binary classifiers
Convolutional neural networks to detect Parkinson's disease based on voice recordings and transfer learning
Transformers-based time series forecasting for piezometric level prediction
Scalable implementation of dependence clustering in Apache Spark
Privacy-preserving distributed learning with chaotic maps
Autonomous visual self-localization in completely unknown environment
Using Machine Learning for early prediction of Heart Disease
A sensory-neural network for medical diagnosis
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore
Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions
Dilated Long Short-Term Attention For Chaotic Time Series Applications
Correlation-enhanced Dynamic Graph Learning for Temporal Link Prediction
Evolving fuzzy linear regression trees with feature selection
Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers
What are the most influential factors in a vehicle platoon?
Hybridizing firefly algorithm with invasive weed optimization for engineering design problems
Evolving fuzzy model based performance identification for production control
An incremental self-trained ensemble algorithm
Man-machine cooperation for the on-line training of an evolving classifier
An immune evolution mechanism for the study of stress factors in supervised and controlled systems
Robust Evolving Cloud-based Controller (RECCo)
An adaptive energy-aware routing protocol for MANETs using the SARSA reinforcement learning algorithm
A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems
Study a deep learning-based audio classification for detecting the distance of UAV
Embedded vision system with hardware acceleration
Evolving fuzzy model in fault detection system
Cross-relating heterogeneous Text Streams for Credibility Assessment
Fuzzy decision trees for dynamic data
Uninorm based regularized fuzzy neural networks
A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing
On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: A first study on the TSP
Dynamic pattern recognition for the diagnosis of evolving systems
SIOPRED performance in a Forecasting Blind Competition
Training in a Virtual Learning Environment: A Process Mining Approach
Adaptive kernel smoothing regression using vector quantization
Evolving participatory learning fuzzy modeling for financial interval time series forecasting
Keynote speaker 2: Real time data mining
An entropy-based method for estimating demographic trends
Nonlinear Quadratic Estimator with selective error state weighting
Active fuzzy rule induction
ML-Assisted Monitoring and Characterization of IoT Sensor Networks
Evolving fuzzy clustering algorithm based on maximum likelihood with participatory learning
Classification of data streams with skewed distribution
Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling
Edge Implementation of Unsupervised Self-evolving Vision Classifier
Thematical and Impact Differences Between National and International Collaboration on Artificial Intelligence Research
A Meta-cognitive Interval Type-2 fuzzy inference system classifier and its projection based learning algorithm
Drift detection and monitoring in non-stationary environments
Support-based distance measurement between lattices
A fuzzy-genetic tactical resource planner for workforce allocation
Control system with evolving Gaussian process models
Predicted probability enhancement for multi-label text classification using class label pair association
Solving Stochastic Root-Finding with adaptive d-ary search
Evolution of a digital organism playing Go
Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System
Case studies with evolving fuzzy grammars
Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis
Online Design of Experiments with Fuzzy Confidence Interval for Identification of Nonlinear Dynamical Processes
EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules
eVQ-AM: An extended dynamic version of evolving vector quantization
The IEEE Computer Society Smart Grid Vision Project opens opportunites for computational intelligence
Uncovering the conceptual evolution of sentiment analysis research field during the period 2017-2021
Multi-Task YOLO for Vehicle Colour Recognition and Automatic License Plate Recognition
A batch-incremental process fault detection and diagnosis using mixtures of probablistic PCA
Enhanced K-means Color Clustering Based on SLIC Superpixels Merging incorporated within the Entomology Software: AInsectID
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts
Updating knowledge in Large Language Models: an Empirical Evaluation
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario
Evolving controller design for decoupled multivariate plants
A self-organising fuzzy neural network with locally recurrent self-adaptive synapses
Ensemble method based on individual evolving classifiers
Modeling and simulation of a small wind turbine system based on PMSG generator
Language independent rule based classification of printed & handwritten text
A new computer control system for mental stress management using fuzzy logic
Introduction of adaptive TS model using recursive Gustafson-Kessel algorithm in short term load forecasting
An evolving algorithm based on unobservable components neuro-fuzzy model for time series forecasting
Automated Offline Design-Space Exploration and Online Design Reconfiguration for CNNs
Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation
Possible use of evolving c-regression clustering for energy consumption profiles classification
Re-usable features in a hierarchical concept network for autonomous learning in complex games
Fuzzy controller in the cargo control wagons dump
2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020
Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals
Monitoring of vulcano Puracé through seismic signals: Description of a real dataset
Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system
2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2016, Natal, Brazil, May 23-25, 2016
Incremental recursive fisher linear discriminant for online feature extraction
Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering
Genetic decision mechanism for reasoning and behaviour generation in adaptive intelligent agents
A data-driven adaptive model-identification based large-scale sensor management system: Application to self powered neutron detectors
Online Monitoring of Stance from Tweets: The case of Green Pass in Italy
Exploiting Categorization of Online News for Profiling City Areas
Evolving activity recognition from sensor streams
Granular evolving fuzzy robust feedback linearization
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018
Evolving fuzzy-madel-based on c-regression clustering
Evolving neural network with extreme learning for system modeling
A Robot-Assisted Missing Child Search Approach
Towards safer indoor spaces: A machine learning based CO2 forecasting approach for smart systems
Implementation of SPA in Radiology Information System
A new evolving clustering algorithm for online data streams
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration
Sequential learning of differential trend
2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, EAIS 2011, Paris, France, April 14-15, 2011
Application of Multi-objective Evolutionary Algorithms in automatic restoration of radial power distribution systems
Space-Based Nonlinear Dynamic Inversion Control for Aircraft Continuous Descent Approach
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter
Adapting meeting tools to agent decision
Genotype-phenotype with BNF mapping: An automatic approach of producing a computer program
Design and Development of a Social, Educational and Affective Robot
Robust evolving control of a two-tanks pilot plant
An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks
Bacteria Taxonomic Classification using Graph Neural Networks
A multi-population firefly algorithm for dynamic optimization problems
Controlling evaluation duration in On-line, on-board evolutionary robotics
An adaptive spiking neural network with Hebbian learning