All Stories

  1. Key factors of industry 5.0-based organizational sustainability
  2. Probabilistic or possibilistic expert knowledge modeling? Dunning-Kruger curve helps to choose!
  3. WEBA dataset as the Reflection of Work content effect on Workload perception in Real life Working conditions
  4. Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties
  5. Version [1.0]- HAT-VIS — A MATLAB-based hypergraph visualization tool
  6. Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models
  7. Model-Centric Integration of Uncertain Expert Knowledge into Importance Sampling-Based Parameter Estimation
  8. The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification
  9. Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems
  10. Network science and explainable AI-based life cycle management of sustainability models
  11. Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0
  12. Particle filtering supported probability density estimation of mobility patterns
  13. Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems
  14. Machine Learning-Supported Designing of Human–Machine Interfaces
  15. Machine learning -based decision support framework for CBRN protection
  16. Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter
  17. Multilayer Network‐Based Evaluation of the Efficiency and Resilience of Network Flows
  18. Analysis and Clustering-Based Improvement of Particle Filter Optimization Algorithms
  19. Extension of HAAS for the Management of Cognitive Load
  20. Neighborhood Ranking-Based Feature Selection
  21. Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment—A Systematic Scoping Review
  22. Data sharing in Industry 4.0 - AutomationML, B2MML and International Data Spaces-based solutions
  23. Az információmenedzsment szerepe az ABV-védelemben
  24. Matrix factorization-based multi-objective ranking–What makes a good university?
  25. Goal-Oriented Tuning of Particle Filters for the Fault Diagnostics of Process Systems
  26. 3D Scanner-Based Identification of Welding Defects—Clustering the Results of Point Cloud Alignment
  27. Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management
  28. Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0
  29. Expert-Based Modular Simulator for Municipal Waste Processing Technology Design
  30. Hypergraph and network flow-based quality function deployment
  31. Sectoral Analysis of Energy Transition Paths and Greenhouse Gas Emissions
  32. Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services
  33. Hypergraph-based analysis and design of intelligent collaborative manufacturing space
  34. Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion
  35. Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy
  36. Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development
  37. A multi-block clustering algorithm for high dimensional binarized sparse data
  38. Processing indoor positioning data by goal-oriented supervised fuzzy clustering for tool management
  39. Factor analysis, sparse PCA, and Sum of Ranking Differences-based improvements of the Promethee-GAIA multicriteria decision support technique
  40. Network-Based Topological Exploration of the Impact of Pollution Sources on Surface Water Bodies
  41. Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management
  42. Data-driven business process management-based development of Industry 4.0 solutions
  43. Identification of sampling points for the detection of SARS-CoV-2 in the sewage system
  44. Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions
  45. Scheduling Under Uncertainty for Industry 4.0 and 5.0
  46. Big data analytics opportunities for applications in process engineering
  47. Comprehensible Visualization of Multidimensional Data: Sum of Ranking Differences-Based Parallel Coordinates
  48. Learning Interpretable Mixture of Weibull Distributions—Exploratory Analysis of How Economic Development Influences the Incidence of COVID-19 Deaths
  49. Genetic programming-based symbolic regression for goal-oriented dimension reduction
  50. Data-driven comparative analysis of national adaptation pathways for Sustainable Development Goals
  51. Quality vs. quantity of alarm messages - How to measure the performance of an alarm system
  52. Indoor Positioning Systems Can Revolutionise Digital Lean
  53. Data describing the relationship between world news and sustainable development goals
  54. Sparse PCA Support Exploration of Process Structures for Decentralized Fault Detection
  55. Test Plan for the Verification of the Robustness of Sensors and Automotive Electronic Products Using Scenario-Based Noise Deployment (SND)
  56. Decision trees for informative process alarm definition and alarm-based fault classification
  57. Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model
  58. The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking
  59. Modelling for Digital Twins—Potential Role of Surrogate Models
  60. Estimation of machine setup and changeover times by survival analysis
  61. Integrated Survival Analysis and Frequent Pattern Mining for Course Failure-Based Prediction of Student Dropout
  62. Frequent Itemset Mining and Multi-Layer Network-Based Analysis of RDF Databases
  63. The intertwining of world news with Sustainable Development Goals: An effective monitoring tool
  64. Event‐Tree Based Sequence Mining Using LSTM Deep‐Learning Model
  65. Industry 4.0‐Driven Development of Optimization Algorithms: A Systematic Overview
  66. Ontology‐Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production
  67. The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications
  68. Mixture of Survival Analysis Models-Cluster-Weighted Weibull Distributions
  69. Machine Learning Based Analysis of Human Serum N-glycome Alterations to Follow up Lung Tumor Surgery
  70. Data describing the regional Industry 4.0 readiness index
  71. Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard- and ontology-based methodologies and tools
  72. Directions of membrane separator development for microbial fuel cells: A retrospective analysis using frequent itemset mining and descriptive statistical approach
  73. Integration of real-time locating systems into digital twins
  74. Real-Time Locating System in Production Management
  75. Analytic Hierarchy Process and Multilayer Network-Based Method for Assembly Line Balancing
  76. Focal points for sustainable development strategies—Text mining-based comparative analysis of voluntary national reviews
  77. A multilayer and spatial description of the Erasmus mobility network
  78. Mixtures of QSAR models: Learning application domains of p K predicto rs
  79. Application to the Analysis of Heat Exchanger Networks
  80. Introduction
  81. Network-Based Analysis of Dynamical Systems
  82. Reduction of Relative Degree by Optimal Control and Sensor Placement
  83. Structural Controllability and Observability Analysis in Complex Networks
  84. Summary
  85. The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems
  86. Are Regions Prepared for Industry 4.0?
  87. Evaluation of Regional I4.0 Readiness: Data Analysis and Composite Indicator Development
  88. Introduction
  89. Measures of Regional Industry 4.0 + Readiness
  90. Regional Aspects of Industry 4.0
  91. Summary: The Applicability of the I4.0+ Index
  92. Application Domain Discovery of Thermodynamic Models by Mixture of Experts Learning
  93. Fuzzy activity time-based model predictive control of open-station assembly lines
  94. Multilayer network based comparative document analysis (MUNCoDA)
  95. Pairwise comparison based failure mode and effects analysis (FMEA)
  96. Genetic programming-based development of thermal runaway criteria
  97. Review and structural analysis of system dynamics models in sustainability science
  98. Network analysis dataset of system dynamics models
  99. Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
  100. Learning and predicting operation strategies by sequence mining and deep learning
  101. Data-driven multilayer complex networks of sustainable development goals
  102. P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems
  103. A Review of Semantic Sensor Technologies in Internet of Things Architectures
  104. Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
  105. Network model-based analysis of the goals, targets and indicators of sustainable development for strategic environmental assessment
  106. Frequent pattern mining in multidimensional organizational networks
  107. Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations
  108. Operating regime model based multi-objective sensor placement for data reconciliation
  109. The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness
  110. Evaluating the Interconnectedness of the Sustainable Development Goals Based on the Causality Analysis of Sustainability Indicators
  111. Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree
  112. Enabling Technologies for Operator 4.0: A Survey
  113. Test-sequence optimisation by survival analysis
  114. Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines
  115. Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming
  116. Multilayer Network-Based Production Flow Analysis
  117. Hierarchical Representation Based Constrained Multi-objective Evolutionary Optimisation of Molecular Structures
  118. Novel Failure Model for the Purpose of Modeling the Imperfect Proof-Testing
  119. Graph configuration model based evaluation of the education-occupation match
  120. Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation
  121. Hierarchical Frequent Sequence Mining Algorithm for the Analysis of Alarm Cascades in Chemical Processes
  122. Learning operation strategies from alarm management systems by temporal pattern mining and deep learning
  123. Sequence Mining Based Alarm Suppression
  124. Controllability and observability in complex networks – the effect of connection types
  125. Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data
  126. Group Contribution Method-based Multi-objective Evolutionary Molecular Design
  127. Minimization of off-grade production in multi-site multi-product plants by solving multiple traveling salesman problem
  128. Mixed dissimilarity measure for piecewise linear approximation based time series applications
  129. Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems
  130. Multiobjective optimization for efficient energy utilization in batch biodiesel production
  131. Redesign of the supply of mobile mechanics based on a novel genetic optimization algorithm using Google Maps API
  132. Interpretability of Hinging Hyperplanes
  133. Interpretability of Neural Networks
  134. Interpretability of Support Vector Machines
  135. Introduction
  136. Summary
  137. Online Monitoring of Catalyst Deactivation Based on Data Reconciliation and Flowsheeting Simulator
  138. Novel techniques and an efficient algorithm for closed pattern mining
  139. Energy monitoring of process systems: time-series segmentation-based targeting models
  140. Fuzzy c-Medoid Graph Clustering
  141. Data-driven development and maintenance of soft-sensors
  142. Bit-Table Based Biclustering and Frequent Closed Itemset Mining in High-Dimensional Binary Data
  143. Life-cycle Modelling for Fault Detection – Extraction of PCA Models from Flowsheeting Simulators
  144. Statistical Process Control based Energy Monitoring of Chemical Processes
  145. Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
  146. Economic oriented stochastic optimization in process control using Taguchi’s method
  147. Fisher information matrix based time-series segmentation of process data
  148. Hinging hyperplane based regression tree identified by fuzzy clustering and its application
  149. Graph-Based Visualisation of High Dimensional Data
  150. Graph-Based Clustering Algorithms
  151. Vector Quantisation and Topology Based Graph Representation
  152. Improvement of PSO Algorithm by Memory-Based Gradient Search—Application in Inventory Management
  153. Graph-Based Clustering and Data Visualization Algorithms
  154. Partial Least Squares Model based Process Monitoring using Near Infrared Spectroscopy
  155. Correlation based dynamic time warping of multivariate time series
  156. Biclustering of High-throughput Gene Expression Data with Bicluster Miner
  157. Interpretable support vector regression
  158. New trends on bio-inspired computation
  159. On-line detection of homogeneous operation ranges by dynamic principal component analysis based time-series segmentation
  160. Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes
  161. Economic load dispatch using population-variance harmony search algorithm
  162. How to design a powerful family of particle swarm optimizers for inverse modelling
  163. Controller tuning of district heating networks using experiment design techniques
  164. Analysis of premalignant pancreatic cancer mass spectrometry data for biomarker selection using a group search optimizer
  165. Using analytic network process and turbo particle swarm optimization algorithm for non-balanced supply chain planning considering supplier relationship management
  166. A simplex differential evolution algorithm: development and applications
  167. An analytical approach to the similarities between swarm intelligence and artificial neural network
  168. Viral system algorithm: foundations and comparison between selective and massive infections
  169. Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm
  170. Fisher information based time-series segmentation of streaming process data for monitoring and supporting on-line parameter estimation in energy systems
  171. Detection of Safe Operating Regions: A Novel Dynamic Process Simulator Based Predictive Alarm Management Approach
  172. A Novel Approach to Solve Multiple Traveling Salesmen Problem by Genetic Algorithm
  173. A Novel Bitmap-Based Algorithm for Frequent Itemsets Mining
  174. Dynamic Time Warping of Segmented Time Series
  175. Application of non-linear dynamic optimization in advanced process control of product grade transitions of polymerization processes
  176. Supervised Fuzzy Clustering Based Initialization of Fuzzy Partitions for Decision Tree Induction
  177. Optimal experiment design techniques integrated with time-series segmentation
  178. Process development based on model mining and experiment design techniques
  179. Local and global mappings of topology representing networks
  180. Decision tree and first-principles model-based approach for reactor runaway analysis and forecasting
  181. Topology Representing Networks for the Visualization of Manifolds
  182. Compact fuzzy association rule-based classifier
  183. Integrated Process and Control System Model for Product Quality Control - Application to a Polypropylene Plant
  184. Decision tree based qualitative analysis of operating regimes in industrial production processes
  185. Analyzing trends by symbolic episode representation and sequence alignment
  186. Analysis of the runaway in an industrial heterocatalytic reactor
  187. Process modeling and simulation for optimization of operating processes
  188. Effects of Catalyst Activity Profiles on the Operating Conditions of an Industrial Polymerization Reactor
  189. Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories
  190. Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm
  191. Additive Sequential Evolutionary Design of Experiments
  192. Effects of catalyst activity profiles on the scale-up of polymerization reactors
  193. Fuzzy Association Rule Mining for Model Structure Identification
  194. Process-data-warehousing-based operator support system for complex production technologies
  195. Interactive evolutionary computation in process engineering
  196. Monitoring process transitions by Kalman filtering and time-series segmentation
  197. Feedback linearizing control using hybrid neural networks identified by sensitivity approach
  198. Genetic Programming for the Identification of Nonlinear Input−Output Models
  199. Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series
  200. Effects of catalyst activity profiles on the operating conditions of an industrial polymerization reactor
  201. Interactive particle swarm optimization
  202. Effective Optimization for Fuzzy Model Predictive Control
  203. Model order selection of nonlinear input–output models––a clustering based approach
  204. Tendency model-based improvement of the slave loop in cascade temperature control of batch process units
  205. DISTRIBUTION OF PRIORITY POLYCYCLIC AROMATIC HYDROCARBONS IN THE SEDIMENT OF LAKE BALATON, HUNGARY
  206. Exploratory data analysis of trace elements in clinker
  207. Process analysis and product quality estimation by Self-Organizing Maps with an application to polyethylene production
  208. Supervised fuzzy clustering for the identification of fuzzy classifiers
  209. Incorporating Prior Knowledge in a Cubic Spline ApproximationApplication to the Identification of Reaction Kinetic Models
  210. Learning fuzzy classification rules from labeled data
  211. Fuzzy Self-Organizing Map based on Regularized Fuzzy c-means Clustering
  212. Determining the Model Order of Nonlinear Input-Output Systems by Fuzzy Clustering
  213. System Identification Using Delaunay Tessellation of Self-Organizing Maps
  214. Fuzzy Model Identification for Control
  215. Fuzzy Model Identification
  216. Introduction
  217. Fuzzy Models of Dynamical Systems
  218. Fuzzy Model based Control
  219. Fuzzy Model Structures and their Analysis
  220. Operator support system for multi product processes-application to polyethylene production
  221. Tendency model-based improvement of the slave loop in cascade temperature control of batch process units
  222. Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
  223. Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
  224. Trace elements in clinker
  225. Trace elements in clinker
  226. Fuzzy Clustering for the Identification of Compact Fuzzy Classifiers
  227. Fuzzy model-based predictive control by instantaneous linearization
  228. Learning Fuzzy Classification Rules from Data
  229. Fuzzy modeling with multivariate membership functions: gray-box identification and control design
  230. Hybrid Fuzzy Convolution Model and its Application in Predictive Control
  231. Hybrid fuzzy convolution modelling and identification of chemical process systems
  232. Design and Application of Block-Oriented Fuzzy Models — Fuzzy Hammerstein Model
  233. Inverse fuzzy-process-model based direct adaptive control
  234. Application of fuzzy clustering and piezoelectric chemical sensor array for investigation on organic compounds
  235. Hybrid convolution model and its application in predictive pH control
  236. Adaptive Fuzzy Inference System and Its Application in Modelling and Model Based Control
  237. Introduction to Fuzzy Data Mining Methods
  238. Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures
  239. Interactive Evolutionary Computation in Identification of Dynamical Systems
  240. Introduction to Fuzzy Data Mining Methods
  241. Geodesic Distance Based Fuzzy Clustering
  242. Visualization and Complexity Reduction of Neural Networks
  243. Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity
  244. Visualization of Topology Representing Networks
  245. FUZZSAM - visualization of fuzzy clustering results by modified Sammon mapping
  246. Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs
  247. A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines
  248. Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees