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Proceedings of the Fifth International Scientific Conference Intelligent Information Technologies for Industry (IITI'21)
Proceedings of the Fifth International Scientific Conference Intelligent Information Technologies for Industry (IITI'21)
Autore Kovalev Sergey
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (716 pages)
Altri autori (Persone) TarassovValery
SnaselVaclav
SukhanovAndrey
Collana Lecture Notes in Networks and Systems Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-87178-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910502642803321
Kovalev Sergey  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) / / edited by Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) / / edited by Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (713 pages)
Disciplina 670.28563
658.50028563
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-50097-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural networks -- Adaptive Diagnosis Model of Dempster-Shafer Based on Recurrent Neural-Fuzzy Network -- The method of clearing printed and handwritten texts from noise -- Interval Signs Enlargement Algorithm in the Classication Problem of Biomedical Signals -- Age and Gender Recognition on Imbalanced Dataset of Face Images with Deep Learning -- A Complex Approach to the Data Labeling E‑ciency Improvement -- Automation of Musical Compositions Synthesis Process Based on Neural Networks -- Convolutional Neural Network Application for Analysis of Fundus Images -- Approximation Methods for Monte Carlo Tree Search -- Labor intensity evaluation technique in software development process based on neural networks -- An Analysis of Convolutional Neural Network for Fashion Images Classication (Fashion-MNIST) -- Multiagent Systems -- Implementation of the real-time intelligent system based on theintegration approach -- Agent-based situational modeling and identication technological systems in conditions of uncertainty -- Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection -- Multi-Agent System of Knowledge Representation and Processing -- The Technique of Data Analysis Tasks Distribution in the Fog-Computing Environment -- Non-Classical Logic -- Model of the Operating Device with a Tunable Structure for the Implementation of the Accelerated Deductive Inference Method -- A Model Checking Based Approach for Verication of Attribute-Based Access Control Policies in Cloud Infrastructures. -- Detection of anomalous situations in an unforeseen increase in the duration of inference step of the agent in hard real time -- Bayesian Networks and Trust Networks, Fuzzy-Stocastical Modelling -- Protection System for a Group of Robots Based on the Detection of Anomalous Behavior -- Employees' social graph analysis: a model of detection the most criticality trajectories of the social engineering attack's spread -- An approach to quantication of relationship types between users based on the frequency of combinations of non-numeric evaluations -- Algebraic Bayesian networks: parallel algorithms for maintaining local consistency.
Record Nr. UNINA-9910483050503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) : Volume 1 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, Andrey Sukhanov
Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) : Volume 1 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, Andrey Sukhanov
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVI, 547 p. 194 illus.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-68321-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Synergetic Artificial Intelligence and Social Robotics -- Overall Design of the SLADE Data Acquisition System -- Analysis of design-technology workflows in the conditions of large enterprise -- Ontological Support of Design Thinking in Developments of Software Intensive Systems -- Step Theories of Active Logic and Extended Logical Programs -- About Transformations of a Numerical Time Series using a Linguistic Variable -- A fuzzy propositional logic with temporal intervals -- Neural Sensorless Control of Induction Motor -- Approach to the construction of a systemic concept -- Transformation of elements of geoinformation models in the synthesis of solutions.
Record Nr. UNINA-9910392725403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) : Volume 2 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, Andrey Sukhanov
Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) : Volume 2 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, Andrey Sukhanov
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XV, 470 p. 241 illus.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-68324-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Approach to the search for similar software projects based on the UML ontology -- Method for conceptual presentation of subject tasks in knowledge engineering for computer-aided design systems -- Energy Meter for Smart Home Purposes -- Reconfigurable Distributed Information and Control System Multiagent Management Approach -- Intellectualization of Sorting Processes based on Instrumental Definition of Analogies -- Sensing thermal processes with Piezoelectric Film Elements -- Multithreaded hybrid library -- On the Electrodynamics of Moving Bodies According to the Rotary Theory -- Design and implementation of high speed AES on a RISC microcontroller -- Electronic Differentials with Active Torque Distribution for IWD Vehicles.
Record Nr. UNINA-9910392725303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Seventh International Scientific Conference Intelligent Information Technologies for Industry (IITI'23) : Volume 1
Proceedings of the Seventh International Scientific Conference Intelligent Information Technologies for Industry (IITI'23) : Volume 1
Autore Kovalev Sergey
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2023
Descrizione fisica 1 online resource (444 pages)
Altri autori (Persone) KotenkoIgor
SukhanovAndrey
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-43789-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Invited Papers -- Intelligent Interfaces and Systems for Human-Computer Interaction -- 1 Introduction -- 2 Intelligent Synthesis -- 2.1 Video Modality -- 2.2 Audio Modality -- 2.3 Text Modality -- 2.4 Multimodality -- 3 Intelligent Analysis -- 3.1 Video Modality -- 3.2 Audio Modality -- 3.3 Text Modality -- 3.4 Multimodality -- 4 Conclusions -- References -- Three Knowledge Sources and Three Constituents of Artificial Intelligence Foundation -- 1 Introduction -- 2 Data vs. Knowledge -- 3 Data Science -- 4 From Knowledge Engineering to Knowledge Science: A Perspective -- 5 Digital Twin As a Source of Various Knowledge -- 6 Discussion: Integration and Interaction of Knowledge from Different Types of Sources -- 7 Conclusion -- References -- Machine Learning and Its Applications -- Comparative Analysis of Data Synthesis Methods for Prognostic Models Development in Cardiology -- 1 Introduction -- 2 Related works -- 3 Methods and materials -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Artificial Intelligence Approach to Palladium Nanocatalysts Diagnostics Automation -- 1 Introduction -- 2 Model-Based Training DRL Agents -- 3 Optimal Control Algorithms and Spectral Profile Analysis -- 4 Conclusion -- References -- Methodology for Detecting and Feature Selection of an Information Attack in the Process of Mediatization -- 1 Introduction -- 2 Related Work -- 3 Methodology for Detection and Feature Selection -- 3.1 Information Attack Model -- 3.2 Approach to Detection and Feature Selection -- 4 Case Study -- 5 Conclusion -- References -- Planning Maneuvers for Autonomous Driving Based on Offline Reinforcement Learning: Comparative Study -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Offline RL -- 3.2 Conservative Q-learning -- 4 Approach -- 4.1 CommonRoad Scenarios.
4.2 Trajectories Generation -- 5 Experiments -- 6 Conclusion -- References -- Big Five: What User Posts Say? -- 1 Introduction -- 1.1 Prerequisites for Research -- 1.2 Big Five -- 1.3 Related Work -- 2 Problem Statement -- 3 Methods -- 3.1 Description Dataset -- 3.2 Data Preprocessing -- 3.3 Used Models -- 3.4 Methodology for Evaluating the Results of Experiments -- 3.5 Results -- 4 Discussion -- 5 Conclusion -- References -- Gated Recurrent Unit Autoencoder for Fault Detection in Penicillin Fermentation Process -- 1 Introduction -- 2 Literature Review -- 3 Domain Adaptation -- 4 Deep Learning Models -- 4.1 Gated Recurrent Unit -- 4.2 GRU Based Autoencoder -- 4.3 GRU-AE Based Fault Detection -- 5 Experiments and Results -- 5.1 Dataset -- 5.2 Data Preprocessing -- 5.3 Model Training -- 5.4 Results -- 6 Conclusion -- References -- Resume Recommendation using RNN Classification and Cosine Similarity -- 1 Introduction -- 2 Related Works -- 2.1 Resume Classifier Related Works -- 2.2 Resume Recommender Related Works -- 3 The Proposed Two-Fold Algorithm Approach -- 3.1 Resume Classification -- 3.2 Experimental Results and Evaluation -- 4 Resume Recommendation -- 4.1 Similarity Function -- 4.2 Computing Similarity Function -- 5 Discussion and Conclusion -- References -- Machine Learning for Adaptive Analysis and Evaluation of Soil Slopes -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 The Model of Cluster Analysis -- 3.2 BCubed Clustering Quality Metric -- 3.3 Agglomerative Clustering Algorithm -- 4 Results -- 4.1 Pre-processing of the Data Frame -- 4.2 Field Segmentation -- 4.3 Formation of ``Winners'' and ``Losers'' -- 4.4 Clustering -- 4.5 Angle Calculation -- 4.6 Quality Assessment -- 5 Proposed Decision -- 6 Conclusion and Future Work -- References.
Research on Video Pedestrian Tracking Based on the Combination of Optical Flow Method and Target Tracking Network -- 1 Introduction -- 1.1 Tracking Model Based on Traditional Methods -- 1.2 Tracking Model Based on Deep Learning Methods -- 2 Related Work -- 2.1 Siamese-Based Tracking Model -- 2.2 Self-attention -- 2.3 Variational Optical Flow Method -- 3 Transformer-Based Target Tracking Model -- 3.1 Overall Framework of SiamSA Tracking Model -- 3.2 Variational Optical Flow Model Based on Deep Learning Priors -- 3.3 Optical Flow Vector Correction Search Area -- 4 Experiments -- 4.1 Effect of Self-attention -- 4.2 Improved Optical Flow Model -- 4.3 Effect of Search Area Update Model -- 5 Conclusion -- References -- Development and Testing Intelligent Video Surveillance Systems Based on the CNN Algorithm -- 1 Introduction -- 2 Analog Overview -- 2.1 Solutions Based on OpenCV Methods -- 2.2 Convolutional Neural Network Models -- 2.3 Determining the Accuracy of Forecast Data -- 3 Suggested Solutions -- 3.1 Object Detection Based on OpenCV and Convolution Neural Network -- 3.2 Tracking and Dynamic Identity Stack Creation Algorithm -- 4 Computer Simulation Scenarios as Datasets -- 5 Experimental Results -- 5.1 Testing the Object Detection Algorithm -- 5.2 Testing the Tracking Algorithm -- 6 Conclusion -- References -- Impact of Loss Functions on the Training of LiDAR-based Place Recognition Models -- 1 Introduction -- 2 Related Work -- 2.1 LiDAR-based Place Recognition Methods -- 2.2 Loss Functions in Place Recognition -- 3 Methodology -- 3.1 Loss Function -- 3.2 Methods -- 3.3 Training Details -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Neural Attention Forests: Transformer-Based Forest Improvement -- 1 Introduction -- 2 Preliminaries.
2.1 Nadaraya-Watson Regression and Attention -- 2.2 Attention-based Random Forest -- 3 The Neural Attention Forest Architecture -- 4 The Neural Attention Forest as a Transformer -- 5 Numerical Experiments -- 6 Concluding Remarks -- References -- Audio-Visual Multi-modal Meeting Recording System -- 1 Introduction -- 1.1 Background -- 1.2 Main Contribution -- 1.3 Paper Structure -- 2 Training Strategy -- 2.1 Contrast Learning -- 2.2 Domain Generalization -- 3 Dataset -- 3.1 Dataset of AVSR -- 3.2 Dataset of SPR -- 4 Models -- 4.1 AVSR Model -- 4.2 SPR Model -- 5 Experiment -- 5.1 AVSR Model Training -- 5.2 SPR Model Training -- 5.3 Test -- 6 System Deployment -- 6.1 User Interface -- 6.2 Function Realization -- 7 Conclusion -- References -- Evolutional Modeling -- Studying the Efficiency of Parameter Scaling in Optimal Control Problems with Parallel Memetic Algorithm -- 1 Introduction -- 2 Problem Formulation -- 3 Gasoline's Catalytic Reforming Reaction -- 4 Memetic Parallel Mind Evolutionary Computation Algorithm -- 5 Computational Experiments -- 5.1 Study of the Parameter Scaling Efficiency -- 5.2 Analysis from the Chemical Perspective -- 5.3 Analysis from the Optimization Perspective -- 6 Conclusions -- References -- Canonical Representation of Transport Networks and Their Identification Based on Evolutionary Modeling -- 1 Introduction -- 2 Operations on Basic Structures of Transport Networks -- 2.1 Serial Connection -- 2.2 Adding a Feedback Loop -- 2.3 Parallel Connection -- 3 Model Parameter Identification Method -- 4 Learning Theory Methods in Transport Network Identification -- 5 Conclusion -- References -- Modified Adaptive Particle Swarm Algorithm -- 1 Introduction -- 2 Approach to the Representation of Solutions in an Algorithm based on Swarm Intelligence -- 3 Modified Algorithm for the Adaptive Behavior of a Bee Colony.
4 Hybridization of the Structure of Swarm Intelligence -- 5 Experimental Studies -- 6 Conclusion -- References -- Development and Research of Algorithms for the Synthesis of Combinational Logic Circuits Based on the Evolutionary Approach -- 1 Introduction -- 2 Problem Statement -- 3 Evolutionary Algorithm for Synthesizing Combinational Circuits -- 4 Results of Computational Experiments -- 5 Conclusions -- References -- Fuzzy Models -- Co-active of Fuzzy Temporal Ontological Models and Fuzzy Temporal Cognitive Models for the Analysis and Forecasting of Complicated Systems -- 1 Introduction -- 2 Fuzzy Temporal Ontological Model -- 3 Fuzzy Relational Temporal Cognitive Model -- 4 Forecast Assessment of the Condition and Risks of the IEMS Malfunction -- 5 Conclusion -- References -- Synthesis of Intelligent Tracking Filter with Fuzzy for Parameter Setting in Problems of Air Traffic Management Automation -- 1 Introduction -- 2 Formulation of the Problem -- 3 Construction of the Equation of the Target Motion Based on the Condition for the Maximum of the Generalized Power Function for a Discrete Time Setting -- 4 The Synthesis of the Intelligent Tracking Filter -- 5 Mathematical Simulation -- 6 Conclusion -- References -- Intelligent Decision-Making -- Making Diagnostic Decisions Based on the Assessment of Mixed Production Rules -- 1 Introduction -- 2 Development of Mixed Production Rules -- 3 Application of a Complex Approach to MPR for Diagnosing the Asynchronous Electric Motor -- 4 Conclusion -- References -- Ontology-Based Methodology for Knowledge Maps Design -- 1 Introduction -- 2 Knowledge Maps: Short Overview -- 3 Ontologies as a Conceptual Skeleton of a Knowledge Domain -- 4 Four Meta-steps to Create a Knowledge Map -- 5 Conclusion -- References -- Operating with Fuzzy Cases in Distributed Intelligent Systems -- 1 Introduction.
2 Searching for a Decision Based on Cases.
Record Nr. UNINA-9910746282603321
Kovalev Sergey  
Cham : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) : Volume 1 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) : Volume 1 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (533 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Industrial engineering
Production engineering
Computational Intelligence
Artificial Intelligence
Industrial and Production Engineering
ISBN 3-030-01818-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Connected Vehicle Prognostics Framework for Dynamic Systems -- Human-Computer Cloud for Decision Support: Main Ontological Models and Dynamic Resource Network Configuration -- Enterprise Total Agentication as a Way to Industry 4.0: Forming Artificial Societies via Goal-Resource Networks -- Context-Dependent Guided Tours: Approach and Technological Framework -- Retention to Describe Knowledge of Complex Character and its Formalization in Category Theory -- Proximity of Multi-Attribute Objects in Multiset Metric Spaces -- Evidence Theory for Complex Engineering System Analyses -- Analysis of software development process in respect to anomaly detection -- A Model of Multiagent Information and Control System Distributed Data Storage -- Representation and Use of Knowledge for the Reconguration of the Mechanical Transport System -- Synthesis Of Adaptive Algorithms For Estimating The Parameters Of Angular Position Based On The Combined Maximum Principle -- Synthesis of intelligent discrete algorithms for estimation with model adaptation based on the combined maximum principle -- The approach to extracting semantic trees from texts to build an ontology from wiki-resources -- Ontology-based Semantic Models for Industrial IoT Components Representation -- An Approach To Optimization Of Ray-Tracing In Volume Visualization Based On Properties Of Volume Elements -- Discovering of Part-Whole Relations Used in Architectural Prototyping of Project Tasks -- Multi-level ontological model of Big Data processing -- Ontological Modeling for Industrial Enterprise Engineering -- Designing The Knowledge Base For The Intelligent Inertial Regulator Based On Quasi-optimal Synthesis Of Controls Using The Combined Maximum Principle -- Assessing the software developer's quality using fuzzy estimates -- A Fuzzy Control Method for Priority Driven Embedded Device -- Interpretability of fuzzy temporal models -- Control Of The Cognitive Process In Hard Real-time Environment In The Context Of The Expanded Stepping Theories Of Active Logic -- Method of the Maximum Dynamic Flow Finding in the Fuzzy Graph with Gains -- Hybrid bioinspired algorithm of 1.5 dimensional bin-packing.
Record Nr. UNINA-9910483430803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) : Volume 2 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) : Volume 2 / / edited by Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (458 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Industrial engineering
Production engineering
Computational Intelligence
Artificial Intelligence
Industrial and Production Engineering
ISBN 3-030-01821-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer-Aided Event Tree Synthesis on the Basis of Case-Based Reasoning -- Security of Information Processes in Supply Chains -- External consistency maintenance algorithm for chain and stellate structures of algebraic Bayesian networks: statistical experiments for running time analysis -- Perspectives of Fast Clustering Techniques -- Impact of Security Aspects at the IOTA protocol -- Cryptographic Protocol Security Verification Of The Electronic Voting System Based On Blinded Intermediaries -- Learning Bayesian Network Structure for Risky Behavior Modelling -- On continuous user authentication via hidden free-text based monitoring -- Synthesis and Learning of Socially Significant Behavior Model with Hidden Variables -- Adaptation of the nonlinear stochastic filter on the basis of irregular exact measurements -- Visual analysis of information dissemination channels in social network for protection against inappropriate content -- The problem of the anomaly detection in time series collections for dynamic objects -- Prediction and Detection of User Emotions Based on Neuro-Fuzzy Neural Networks in Social Networks -- Deep Learning in Vehicle Pose Recognition on Two-Dimensional Images -- Feature extraction of high-frequency patterns with the a priori unknown parameters in noised electrograms using spectral entropy -- Results of using neural networks to automatically creation musical compositions based on color image -- Intelligent integrated system for computer-aided design and complex technical objects’ training -- Methods of Conceptual Modeling of Intelligent Decision Support Systems for Managing Complex Objects at All Stages of Its Life Cycle -- About the integration of learning and decision-making models in intelligent systems of real-time -- Intelligent planning and control of integrated expert system construction.
Record Nr. UNINA-9910483430703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

Data di pubblicazione