Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 5th International Conference, BICS 2012, Shenyang, Liaoning, China, July 11-14, 2012 Proceedings / / edited by Huaguang Zhang, Amir Hussain, Derong Liu, Zhanshan Wang |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XVI, 421 p. 146 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Database management Information storage and retrieval Pattern recognition Computers Artificial Intelligence Information Systems Applications (incl. Internet) Database Management Information Storage and Retrieval Pattern Recognition Computation by Abstract Devices |
ISBN | 3-642-31561-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465437803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence, Data Science and Applications : ICAISE'2023, Volume 2 |
Autore | Farhaoui Yousef |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
Descrizione fisica | 1 online resource (637 pages) |
Altri autori (Persone) |
HussainAmir
SabaTanzila TaherdoostHamed VermaAnshul |
Collana | Lecture Notes in Networks and Systems Series |
ISBN | 3-031-48573-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organisation -- Introduction -- Contents -- Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- 1 Introduction -- 2 Related Works -- 3 Methodology and Results -- 3.1 Data -- 3.2 Text Representation -- 4 Experiments and Results -- 5 Conclusion and Future Works -- References -- Performance Analysis of Two Serial Concatenations of Decoders Over a Rayleigh Channel -- 1 Introduction -- 2 Rayleigh Fading -- 3 Used Decoding Algorithms and Serial Concatenation -- 3.1 Hartmann Rudolph Decoder -- 3.2 Hard Decision Decoder Based on Hash and Syndrome Decoding (HSDec) Decoder -- 3.3 Syndrome Decoding and Hash Techniques (SDHT) Decoder -- 3.4 Serial Concatenation -- 4 Simulation Results -- 5 Conclusion -- References -- Blockchain and Reputation Based Secure Service Provision in Edge-Cloud Environments -- 1 Introduction -- 2 The Proposed System Architecture -- 2.1 Main Components -- 2.2 Service Model -- 3 The Blockchain Integration -- 3.1 Blockchain Components -- 3.2 Consensus Process -- 3.3 Blockchain Management -- 4 Conclusions and Perspectives -- References -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Convolutional Neural Networks -- 2.3 Long Short-Term Memory -- 2.4 Convolutional Long Short-Term Memory (ConvLSTM) -- 2.5 Long-Term Recurrent Convolutional Networks (LRCN) -- 3 Results and Discussion -- 4 Conclusion -- References -- Classification Algorithms Implementation for Fire Prevention Data on Multiple Wireless Node Sensors -- 1 Introduction -- 2 Theory of Probability -- 3 Likelihood Algorithm -- 4 Bayesian Inference -- 5 CUSUM Algorithm -- 6 Result of Experiment -- 7 Conclusion -- References -- Implementation of an Intelligent Monitoring System Based on Quality 4.0 of the Induction Hardening Process.
1 Introduction -- 2 Literature Review -- 2.1 Industry 4.0 -- 2.2 Quality 4.0 -- 3 Case Study -- 3.1 Induction Hardening Machine -- 3.2 Smart Supervision System -- 4 Analysis and Discussion -- 5 Conclusion -- References -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- 1 Introduction -- 2 The SOC Estimation Methods -- 2.1 The Ampere Hour Counting Method -- 2.2 Least Squares Support Vector Machine (LSSVM) Method -- 3 Simulation and Results Discussion -- 4 Conclusion -- References -- Intrusion Detection in Software-Defined Networking Using Machine Learning Models -- 1 Introduction -- 2 Challenges of SDN Security -- 2.1 Distributed Denial of Services -- 2.2 Intrusion Detection System -- 3 Methodology -- 3.1 Performance Evaluation -- 3.2 Dataset -- 4 Result and Discussion -- 5 Conclusion -- References -- Neural Network for Link Prediction in Social Network -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Dataset Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Design and Optimization of a Compact Microstrip Bandpass Filter Using on Open Loop Rectangular Resonators for Wireless Communication Systems -- 1 Introduction -- 2 Design of the Proposed Bandpass Filter -- 3 Simulation Results and Discussion -- 4 Conclusion -- References -- YOLO-Based Approach for Intelligent Apple Crop Health Assessment -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Evaluation of Apple Health Using YOLOv5s, YOLOv5m, and YOLOv7 -- 2.2 Models Optimization -- 3 Results and Discussion -- 3.1 Setup Environment -- 3.2 Apple Disease Detection Image Dataset -- 3.3 Data Preprocessing -- 3.4 Performance Results -- 4 Conclusion -- References -- A Comprehensive Review on the Integration of Blockchain Technology with IPFS in IoT Ecosystem -- 1 Introduction -- 2 IoT-Blockchain Architecture. 3 Reviewed Works -- 4 Challenges and Future Research Directions -- 5 Conclusion -- References -- An Integrated Approach for Artifact Elimination in EEG Signals: Combining Variational Mode Decomposition with Blind Source Separation (VMD-BSS) -- 1 Introduction -- 2 Material and Methods -- 2.1 Datasets -- 2.2 The Variational Mode Decomposition -- 2.3 The Blind Source Separation -- 2.4 The Proposed Method -- 3 Results -- 4 Conclusion and Discussion -- References -- E-Health Blockchain: Conception of a New Smart Healthcare Architecture Based on Deep Reinforcement Learning -- 1 Introduction and Notations -- 1.1 Introduction -- 1.2 Notations -- 2 Related Works -- 3 Our Contribution -- 4 Conclusion -- References -- Dynamic Multi-compartment Vehicle Routing Problem: Formulation and Algorithm -- 1 Introduction -- 2 Problem Formulation -- 3 The Dynamic Adaptation to MCVRP Problem -- 4 Hybrid Adaptive Variable Neighborhood Search for DMCVRP -- 5 Computational Experiments -- 6 Conclusion -- References -- Anime Link Prediction Using Improved Graph Convolutional Networks -- 1 Introduction -- 2 Background -- 2.1 Graph Neural Network -- 2.2 Graph Construction -- 2.3 Types of Graph Neural Network (GNN) -- 3 Proposed Work -- 3.1 ImprovedGCN -- 3.2 Proposed Architecture -- 4 Experiments -- 4.1 Dataset for Evaluation -- 4.2 Environment -- 4.3 Experiment Results -- 5 Conclusion -- References -- Assessing the Evolution of Meteorological Seasons and Climate Changes Using Hierarchical Clustering -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Preprocessing -- 2.2 Background and Methodology -- 3 Findings and Discussion -- 4 Conclusion -- References -- Significance and Impact of AI on Pedagogical Learning: A Case Study of Moroccan Students at the Faculty of Legal and Economics -- 1 Introduction -- 2 Methodology -- 2.1 Sample and Data Collection Procedure. 2.2 Students' Personal Information/Demographic Data -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Securing Big Data: Current Challenges and Emerging Security Techniques -- 1 Introduction -- 2 Big Data and Its Characteristics -- 3 Big Data Security Challenges -- 4 Big Data Security Solutions -- 4.1 Classic Security Methods -- 4.2 Artificial Intelligence Security Techniques -- 4.3 Blockchain Security -- 5 Examples of Potential Attacks on BD Systems and Some Solutions -- 5.1 Examples of Potential Attacks -- 5.2 Solutions for Potential Attacks -- 6 Conclusion -- References -- Machine Learning for Early Fire Detection in the Oasis Environment -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Tool Description -- 3.3 Selected ML Algorithms -- 4 Results and Discussion -- 5 Conclusion -- References -- Voice-Based Detection of Parkinson's Disease Using Empirical Mode Decomposition, IMFCC, MFCC, and Deep Learning -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Study Between Fractional Linear Quadratic Regulator (Frac-LQR) and Sliding Mode Controller for the Stabilization the Three-Axis Attitude Control System of LEO Satellite Using Reaction Wheels -- 1 Introduction -- 2 The Dynamic Model of the Satellite Using Reaction Wheels -- 3 Controllability and Observability -- 4 Fractional Linear Quadratic Regulator (Frac-LQR) -- 5 Sliding Mode Controller (SMC) -- 6 Simulations and Results -- 7 Conclusion -- References -- UV-Nets: Semantic Deep Learning Architectures for Brain Tumor Segmentation -- 1 Introduction -- 2 Related Work -- 3 Materiel and Methods -- 3.1 Data -- 3.2 Data Preparation and Preprocessing -- 3.3 Methods -- 3.4 U-Net -- 3.5 V-Net -- 4 Results -- 4.1 Implementation Details -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion. 5 Conclusion -- References -- A Smart Mathematical Approach to Resource Management in Cloud Based on Multi-objective Optimization and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Our Contribution -- 3.1 Detailed Description of Our Contribution -- 4 Conclusion -- References -- Machine Learning in Cybersecurity: Evaluating Text Encoding Techniques for Optimized SMS Spam Detection -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Text Encoding Techniques -- 3 Results and Analysis -- 4 Conclusion -- References -- Design of a GaAs-FET Based Low Noise Amplifier for Sub-6 GHz 5G Applications -- 1 Introduction -- 1.1 Fifth Generation Wireless Communication -- 1.2 LNA -- 2 Theoretical Background -- 2.1 Transistor -- 2.2 Stability -- 2.3 Gain of Amplifier -- 2.4 Noise Figure -- 3 Design of Proposed LNA -- 4 Results and Discussion -- 5 Conclusion -- References -- Pyramid Scene Parsing Network for Driver Distraction Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pyramid Scene Parsing Network (PSPNet) -- 3.2 Proposed Method -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusion -- References -- A Survey on RFID Mutual Authentication Protocols Based ECC for Resource-Constrained in IoT Environment -- 1 Introduction -- 2 Review of ECC-Authentication Protocols for RFID Systems -- 3 Comparative Analysis -- 4 Conclusion -- References -- Advanced Prediction of Solar Radiation Using Machine Learning and Principal Component Analysis -- 1 Introduction -- 2 Related Works -- 3 Our Proposed Approach -- 4 Experimental Study -- 4.1 Environment -- 4.2 Discussion of Results -- 5 Conclusion -- References -- Blockchain and Machine Learning Applications in Overcoming Security Challenges for CPS and IoT Systems -- 1 Introduction -- 2 Background. 2.1 CPS Security. |
Record Nr. | UNINA-9910806196003321 |
Farhaoui Yousef
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Cham : , : Springer International Publishing AG, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence, Data Science and Applications : ICAISE'2023, Volume 1 |
Autore | Farhaoui Yousef |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (590 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
HussainAmir
SabaTanzila TaherdoostHamed VermaAnshul |
Collana | Lecture Notes in Networks and Systems Series |
ISBN | 3-031-48465-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organisation -- Introduction -- Contents -- Sustainability in Internet of Things: Insights and Scope -- 1 Introduction -- 2 Research Methodology -- 2.1 Assembling -- 2.2 Arranging -- 2.3 Assessing -- 3 Results and Discussion -- 3.1 RO1. To Quantify the Trends of Publication for Sustainability in IoT -- 3.2 RO2. To Identify Most Influential Research Source on Sustainability in IoT -- 4 Scope and Limitation of Study -- 5 Conclusion -- References -- Machine Learning in Finance Case of Credit Scoring -- 1 Introduction -- 2 Objectif -- 3 Methodology -- 4 Credit Scoring -- 4.1 Definition -- 4.2 Principle -- 5 Statistical Method: Logistic Regression -- 6 Machine Learning Methods -- 6.1 Definition: Machine Learning -- 6.2 Support Vector Machine (SVMs) -- 6.3 Decision Trees -- 6.4 AdaBoost Classifier -- 6.5 Random Forest Classifier -- 6.6 XGBoost -- 7 Case Study -- 7.1 Presentation of the Database -- 7.2 Ratios Used -- 7.3 Definition of the Parameters -- 7.4 Discussion -- References -- Prediction of Coefficient of Friction and Wear Rate of Stellite 6 Coatings Manufactured by LMD Using Machine Learning -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Intelligent Algorithms -- 3.2 Metrics -- 4 Results and Discussion -- 4.1 Feature Importance -- 4.2 Training Results -- 5 Conclusions -- References -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- 1 Introduction -- 2 Methodology -- 2.1 Data Description and Visualization -- 2.2 Exploratory Data Analysis -- 2.3 Determination of Stationarity -- 2.4 Lags Observing -- 2.5 Data Set Regressive Modeling -- 3 Model Comparison and Results -- 4 Conclusion and Outlook -- References -- A Detailed Study on the Game of Life -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 3.1 Detailed Algorithm Analysis.
3.2 Implementation of the Algorithmic Approaches in the PASCAL Programming Language -- 4 Presentation of Data and Outcomes -- 5 Conclusions and Future Work -- References -- A Decision-Making Model for Selecting Solutions and Improvement Actions Using Fuzzy Logic -- 1 Introduction -- 2 Proposed Model -- 2.1 Action Relevance Estimation -- 2.2 Indicators Definition -- 2.3 Modeling of Indicators -- 2.4 Fuzzy Inference -- 2.5 Defuzzification -- 3 Conclusion -- References -- Sensored Brushless DC Motor Control Based on an Artificial Neural Network Controller -- 1 Introduction -- 2 Materials and Methods -- 2.1 BLDC Motor System -- 2.2 Overview and Use of Controllers -- 3 Results and Discussions -- 4 Conclusions -- References -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- 1 Introduction -- 2 Background -- 3 Related Work -- 4 Problem Statement -- 5 Preliminaries -- 5.1 Process Variables and Alarm Tags -- 5.2 Notions of Alarm and Process Variables -- 5.3 Experimental Environment and Dataset -- 5.4 Machine Learning and Algorithms Used -- 6 Methodology -- 6.1 Overall Learning Process -- 6.2 Pre-processing -- 6.3 Merging Process Tag Data and Alarm Data -- 6.4 Train Machine Learning Model -- 6.5 Generate Feature Importance -- 7 Experiments and Results -- 7.1 Analysis of the Process Data and Alarm Data -- 7.2 Deriving the Relationship Between Alarm and Process Tags -- 7.3 Performance Evaluation of the Machine Learning Algorithms -- 8 Summary and Future Work -- References -- Improving the Resolution of Images Using Super-Resolution Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Improved Model Structure -- 4 Experimental -- 4.1 Evaluation Metrics -- 5 Result -- 5.1 Qualitative Evaluation -- 5.2 Quantitative Evaluation -- 6 Conclusion and Future Work. References -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Discussion and Results -- 5 Conclusion -- References -- Acceptance and Barriers of ICT Integration in Language Learning: In the Context of Teacher Aspirants from a Third World Country -- 1 Introduction -- 2 Methodology -- 2.1 Research Design -- 2.2 Respondents -- 2.3 Instrument -- 2.4 Data Gathering Procedure -- 2.5 Data Analysis Technique -- 3 Results and Discussion -- 4 Conclusion -- References -- Detection of Pesticide Responsible of Intoxication: An Artificial Intelligence Based Method -- 1 Introduction -- 2 Sate of Art -- 3 The Proposed Method -- 3.1 Database Description -- 3.2 Machine Learning Algorithms -- 4 Result and Discussion -- 5 Conclusion -- References -- A Literature Review of Tutoring Systems: Pedagogical Approach and Tools -- 1 Introduction and Background -- 2 Programmed Learning -- 2.1 Definition of Programmed Learning -- 2.2 Principles of Programmed Learning -- 2.3 Branch Programming by Crowder -- 3 Intelligent Tutors -- 3.1 Intelligent Tutoring System: Definition and Architecture -- 3.2 Example of intelligent Tutoring Systems -- 4 Conclusion -- References -- IoT in Agriculture: Security Challenges and Solutions -- 1 Introduction -- 2 Literature Review and Discussion -- 3 IoT-Based Agriculture Threats -- 4 The Proposed Hybrid Metamodel for Smart Agriculture -- 5 Conclusion and Future Works -- References -- Big Data Analytics in Business Process: Insights and Implications -- 1 Introduction -- 2 Research Methodology -- 3 Results and Discussion -- 4 Scope and Limitation of Study -- 5 Conclusion -- References. Chatbots for Medical Students Exploring Medical Students' Attitudes and Concerns Towards Artificial Intelligence and Medical Chatbots -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Socio-demographic Characteristics -- 3.2 Attitudes of Medical Student Toward Intelligent Chatbots in Medicine -- 3.3 Potential Applications of AI in Medicine Perceived by Medical Student -- 3.4 Medical Students Concerned About the Use of AI in Clinical Practice -- 4 Discussion -- 5 Conclusion -- References -- Design and Analysis of the Rectangular Microstrip Patch for 5G Application -- 1 Introduction -- 2 Design Parameters for Rectangular Patch Antenna -- 3 Results and Discussions -- 3.1 Return Loss -- 3.2 Voltage Standing Wave Ratio (VSWR) -- 3.3 Bandwidth -- 3.4 3D Radiation Pattern for Gain and Directivity -- 4 Conclusion -- References -- Reading in the 21st Century: Digital Reading Habit of Prospective Elementary Language Teachers -- 1 Introduction -- 2 Methodology -- 2.1 Research Design -- 2.2 Respondents -- 2.3 Research Instrument -- 2.4 Data Gathering Procedure -- 2.5 Data Analysis Technique -- 2.6 Ethical Consideration -- 3 Results and Discussion -- 4 Conclusion and Implications -- References -- Understanding and Designing Turing Machines with Applications to Computing -- 1 Introduction -- 2 Computational Steps -- 3 Turing Machines-Background -- 3.1 Conceptualizing Turing Machines -- 3.2 Result After Running a Command -- 4 Basic Concepts of the Theory of Algorithms with the Help of Turing Machines -- 5 Examples of Turing Machines -- 6 Conclusions and Future Work -- References -- How Can Cloud BI Contribute to the Development of the Economy of SMEs? Morocco as Model -- 1 Introduction -- 2 State of the Art -- 2.1 Cloud Computing -- 2.2 Business Intelligence -- 2.3 Cloud BI -- 3 Morocco, SMEs and Cloud BI -- 3.1 Important Stats and Discussions. 3.2 Benefits of Cloud BI in SMEs -- 3.3 SMEs Concerns About Using Cloud BI -- 4 Proposed Framework -- 4.1 Homomorphic Encryption -- 5 Conclusion and Perspectives -- References -- Deep Learning for Dynamic Content Adaptation: Enhancing User Engagement in E-commerce -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection and Preprocessing -- 2.2 Deep Learning Model for Dynamic Content Adaptation -- 2.3 Model Training -- 2.4 Model Evaluation -- 3 Results and Discussion -- 4 Conclusion -- References -- PID Versus Fuzzy Logic Controller Speed Control Comparison of DC Motor Using QUANSER QNET 2.0 -- 1 Introduction -- 2 Materials and Methods -- 2.1 DC Motor Material -- 2.2 PID Controller Method -- 2.3 Fuzzy Logic Controller Method -- 3 Simulation and Experimental Results -- 3.1 Simulation Results -- 3.2 Experimental Results -- 4 Conclusion -- References -- Unleashing Collective Intelligence for Innovation: A Literature Review -- 1 Introduction -- 2 Research Methodology -- 3 Results -- 4 Analysis -- 5 Conclusion -- References -- Which Data Quality Model for Recommender Systems? -- 1 Introduction -- 2 Data Quality -- 3 Data Quality Dimension -- 4 Data Quality Models -- 5 Comparison and Discussion -- 6 Conclusion and Future Works -- References -- Logistics Blockchain: Value-Creating Technology for the Port of Casablanca's Container Terminal -- 1 Introduction -- 1.1 The Study Context -- 1.2 Interest and Challenge of the Study -- 1.3 Approach and Research Methodology -- 2 Findings of the Digitization of the NPA on the Performance of the Port Container Terminals (PCTs) Process -- 3 Blockchain Logistics: An Opportunity to Achieve Desired Goals in PTC -- 4 Conclusion -- References -- Using Artificial Intelligence (AI) Methods on the Internet of Vehicles (IoV): Overview and Future Opportunities -- 1 Introduction -- 2 IoV and AI Methods Overview. 2.1 IoV Architecture. |
Record Nr. | UNINA-9910842295803321 |
Farhaoui Yousef
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Cham : , : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Cognitive Agent-based Computing-I [[electronic resource] ] : A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods / / by Muaz A Niazi, Amir Hussain |
Autore | Niazi Muaz A |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (65 p.) |
Disciplina | 006.3 |
Collana | SpringerBriefs in Cognitive Computation |
Soggetto topico |
Neurosciences
Computer science Mathematics Cognitive psychology Biophysics Biological physics Computer Science, general Mathematics, general Cognitive Psychology Biological and Medical Physics, Biophysics |
Soggetto non controllato |
Medicine
Neurosciences Computer science Mathematics Biomedicine Cognitive Psychology Biophysics and Biological Physics |
ISBN |
1-283-74213-6
94-007-3852-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cognitive Agent-basedComputing-I; Acknowledgments; Contents; Acronyms; Abstract; 1 Introduction; 1.1...About the AgentAgent Concept; 1.2...A Framework for Complex Adaptive Systems; 1.3...Modeling CASCAS; 1.4...Motivation; 1.5...Aims and Objectives; 1.6...Overview of the Briefs; References; 2 A Unified Framework; 2.1...Overview of the Proposed Framework; 2.2...Proposed Framework Levels Formulated in Terms of CASCAS Study Objectives; 2.3...Proposed Framework Levels Formulated in Relation to Available Data Types; 2.4...Overview of the Rest of the Parts; 2.4.1 Overview of Case Studies; 2.4.2 Outline of the Briefs
References3 Complex Adaptive Systems; 3.1...Overview; 3.2...Complex Adaptive Systems (CASCAS); 3.2.1 The Seven Basics of CASCAS; 3.2.2 Emergence; 3.3...Examples of CASCAS; 3.3.1 Natural CASCAS Example 1: CAS in Plants; 3.3.2 Natural CASCAS Example 2: CAS in Social Systems; 3.3.3 Artificial CASCAS Example 1: Complex Adaptive Communication Networks; 3.3.4 Artificial CASCAS Example 2: Simulation of Flocking Boids; References; 4 Modeling CASCAS; 4.1...AgentAgent-based Modeling and Agent-based Computing; 4.1.1 AgentAgent-oriented ProgrammingAgentAgent-Oriented Programming 4.1.2 Multi-agentagent Oriented Programming4.1.3 AgentAgent-based or Massively Multiagent Modeling; 4.1.4 Benefits of AgentAgent-based Thinking; 4.2...A Review of an AgentAgent-based Tool; 4.2.1 NetLogo Simulation: An Overview; 4.2.1.1 Overview of NetLogo for Modeling Complex Interaction ProtocolsOverview of NetLogo for Modeling Complex Interaction Protocols; 4.2.1.2 Capabilities in Handling a Range of Input Values; 4.2.1.3 Range of Statistics and Complex Metrics; 4.3...Verification and Validation of SimulationSimulation Models; 4.3.1 Overview; 4.3.2 Verification and Validation of ABMs 4.3.3 Related Work on V&V of ABMABM4.4...Overview of Communication Network Simulators; 4.4.1 Simulation of WSNs; 4.4.2 Simulation of P2P Networks; 4.4.3 Simulation of Robotic Swarms; 4.4.4 ABMABM for Complex Communication Networks SimulationSimulation; 4.5...Complex Network Modeling; 4.5.1 Complex Network Methods; 4.5.2 Theoretical Basis; 4.5.3 Centralities and Other Quantitative Measures; 4.5.3.1 Clustering Coefficient; 4.5.3.2 Matching Index; 4.5.4 Centrality Measures; 4.5.4.1 Degree Centrality; 4.5.4.2 Eccentricity Centrality; 4.5.4.3 Closeness Centrality 4.5.4.4 Shortest Path Betweenness Centrality4.5.5 Software Tools for Complex NetworksComplex Networks; 4.6...Conclusions; References; Index |
Record Nr. | UNINA-9910437823103321 |
Niazi Muaz A
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Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Cognitively Inspired Audiovisual Speech Filtering [[electronic resource] ] : Towards an Intelligent, Fuzzy Based, Multimodal, Two-Stage Speech Enhancement System / / by Andrew Abel, Amir Hussain |
Autore | Abel Andrew |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (134 p.) |
Disciplina | 006.454 |
Collana | SpringerBriefs in Cognitive Computation |
Soggetto topico |
Multimedia information systems
Optical data processing Natural language processing (Computer science) Multimedia Information Systems Image Processing and Computer Vision Natural Language Processing (NLP) |
ISBN | 3-319-13509-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Audio and visual speech relationship -- The research context -- 4 A two stage multimodal speech enhancement system -- Experiments, results, and analysis -- Towards fuzzy logic based multimodal speech filtering -- Evaluation of fuzzy logic proof of concept -- Conclusions and future work. . |
Record Nr. | UNINA-9910298267403321 |
Abel Andrew
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep Learning: Fundamentals, Theory and Applications [[electronic resource] /] / edited by Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (VII, 163 p. 66 illus., 46 illus. in color.) |
Disciplina | 610 |
Collana | Cognitive Computation Trends |
Soggetto topico |
Medicine
Artificial intelligence Algorithms Biomedicine, general Artificial Intelligence |
ISBN | 3-030-06073-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Introduction to Deep Density Models with Latent Variables -- Deep RNN Architecture: Design and Evaluation -- Deep Learning Based Handwritten Chinese Character and Text Recognition -- Deep Learning and Its Applications to Natural Language Processing -- Deep Learning for Natural Language Processing -- Oceanic Data Analysis with Deep Learning Models -- Index. |
Record Nr. | UNINA-9910337950003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Development of Multimodal Interfaces: Active Listening and Synchrony [[electronic resource] ] : Second COST 2102 International Training School, Dublin, Ireland, March 23-27, 2009, Revised Selected Papers / / edited by Anna Esposito, Nick Campbell, Carl Vogel, Amir Hussain, Anton Nijholt |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVII, 446 p. 193 illus.) |
Disciplina |
005.437
4.019 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Application software Computer engineering Multimedia information systems Computers and civilization Optical data processing User Interfaces and Human Computer Interaction Information Systems Applications (incl. Internet) Computer Engineering Multimedia Information Systems Computers and Society Image Processing and Computer Vision |
ISBN |
1-280-38622-3
9786613564146 3-642-12397-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Spacing and Orientation in Co-present Interaction -- Group Cohesion, Cooperation and Synchrony in a Social Model of Language Evolution -- Pointing Gestures and Synchronous Communication Management -- How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human? -- Accessible Speech-Based and Multimodal Media Center Interface for Users with Physical Disabilities -- A Controller-Based Animation System for Synchronizing and Realizing Human-Like Conversational Behaviors -- Generating Simple Conversations -- Media Differences in Communication -- Towards Influencing of the Conversational Agent Mental State in the Task of Active Listening -- Integrating Emotions in the TRIPLE ECA Model -- Manipulating Stress and Cognitive Load in Conversational Interactions with a Multimodal System for Crisis Management Support -- Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems -- Face-to-Face Interaction and the KTH Cooking Show -- Affect Listeners: Acquisition of Affective States by Means of Conversational Systems -- Nonverbal Synchrony or Random Coincidence? How to Tell the Difference -- Biometric Database Acquisition Close to “Real World” Conditions -- Optimizing Phonetic Encoding for Viennese Unit Selection Speech Synthesis -- Advances on the Use of the Foreign Language Recognizer -- Challenges in Speech Processing of Slavic Languages (Case Studies in Speech Recognition of Czech and Slovak) -- Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition -- Emotional Vocal Expressions Recognition Using the COST 2102 Italian Database of Emotional Speech -- Microintonation Analysis of Emotional Speech -- Speech Emotion Modification Using a Cepstral Vocoder -- Analysis of Emotional Voice Using Electroglottogram-Based Temporal Measures of Vocal Fold Opening -- Effects of Smiling on Articulation: Lips, Larynx and Acoustics -- Neural Basis of Emotion Regulation -- Automatic Meeting Participant Role Detection by Dialogue Patterns -- Linguistic and Non-verbal Cues for the Induction of Silent Feedback -- Audiovisual Tools for Phonetic and Articulatory Visualization in Computer-Aided Pronunciation Training -- Gesture Duration and Articulator Velocity in Plosive-Vowel-Transitions -- Stereo Presentation and Binaural Localization in a Memory Game for the Visually Impaired -- Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition -- Disfluencies and the Perspective of Prosodic Fluency -- Subjective Tests and Automatic Sentence Modality Recognition with Recordings of Speech Impaired Children -- The New Italian Audio and Video Emotional Database -- Spoken Dialogue in Virtual Worlds. |
Record Nr. | UNISA-996465334503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Development of Multimodal Interfaces: Active Listening and Synchrony [[electronic resource] ] : Second COST 2102 International Training School, Dublin, Ireland, March 23-27, 2009, Revised Selected Papers / / edited by Anna Esposito, Nick Campbell, Carl Vogel, Amir Hussain, Anton Nijholt |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVII, 446 p. 193 illus.) |
Disciplina |
005.437
4.019 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
User interfaces (Computer systems)
Application software Computer engineering Multimedia information systems Computers and civilization Optical data processing User Interfaces and Human Computer Interaction Information Systems Applications (incl. Internet) Computer Engineering Multimedia Information Systems Computers and Society Image Processing and Computer Vision |
ISBN |
1-280-38622-3
9786613564146 3-642-12397-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Spacing and Orientation in Co-present Interaction -- Group Cohesion, Cooperation and Synchrony in a Social Model of Language Evolution -- Pointing Gestures and Synchronous Communication Management -- How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human? -- Accessible Speech-Based and Multimodal Media Center Interface for Users with Physical Disabilities -- A Controller-Based Animation System for Synchronizing and Realizing Human-Like Conversational Behaviors -- Generating Simple Conversations -- Media Differences in Communication -- Towards Influencing of the Conversational Agent Mental State in the Task of Active Listening -- Integrating Emotions in the TRIPLE ECA Model -- Manipulating Stress and Cognitive Load in Conversational Interactions with a Multimodal System for Crisis Management Support -- Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems -- Face-to-Face Interaction and the KTH Cooking Show -- Affect Listeners: Acquisition of Affective States by Means of Conversational Systems -- Nonverbal Synchrony or Random Coincidence? How to Tell the Difference -- Biometric Database Acquisition Close to “Real World” Conditions -- Optimizing Phonetic Encoding for Viennese Unit Selection Speech Synthesis -- Advances on the Use of the Foreign Language Recognizer -- Challenges in Speech Processing of Slavic Languages (Case Studies in Speech Recognition of Czech and Slovak) -- Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition -- Emotional Vocal Expressions Recognition Using the COST 2102 Italian Database of Emotional Speech -- Microintonation Analysis of Emotional Speech -- Speech Emotion Modification Using a Cepstral Vocoder -- Analysis of Emotional Voice Using Electroglottogram-Based Temporal Measures of Vocal Fold Opening -- Effects of Smiling on Articulation: Lips, Larynx and Acoustics -- Neural Basis of Emotion Regulation -- Automatic Meeting Participant Role Detection by Dialogue Patterns -- Linguistic and Non-verbal Cues for the Induction of Silent Feedback -- Audiovisual Tools for Phonetic and Articulatory Visualization in Computer-Aided Pronunciation Training -- Gesture Duration and Articulator Velocity in Plosive-Vowel-Transitions -- Stereo Presentation and Binaural Localization in a Memory Game for the Visually Impaired -- Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition -- Disfluencies and the Perspective of Prosodic Fluency -- Subjective Tests and Automatic Sentence Modality Recognition with Recordings of Speech Impaired Children -- The New Italian Audio and Video Emotional Database -- Spoken Dialogue in Virtual Worlds. |
Record Nr. | UNINA-9910481954703321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Electronics, Communications and Networks V [[electronic resource] ] : Proceedings of the 5th International Conference on Electronics, Communications and Networks (CECNet 2015) / / edited by Amir Hussain |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (IX, 426 p. 187 illus., 95 illus. in color.) |
Disciplina | 621.382 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Power electronics
Computer communication systems Electrical engineering Power Electronics, Electrical Machines and Networks Computer Communication Networks Communications Engineering, Networks |
ISBN | 981-10-0740-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Design Gysel Power Divider/Combiner with Harmonic Suppression Using Cross-Shaped Transmission Line -- Detecting Communities Based on Edge-Fitness and Node-Similarity in Social Networks -- An Adaptive Spatial-Temporal Error Concealment Scheme based on H.264/AVC -- Research on Data Recording and Playback System for Virtual Testing Framework -- Research on a Credit Reservation Mechanism for Concurrent Multi-service -- A MAC Protocol for Medical Emergency Monitoring Wireless Body Area Networks -- Weighted Modularity on k-path Graph. |
Record Nr. | UNINA-9910254241203321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Multimodal Sentiment Analysis [[electronic resource] /] / by Soujanya Poria, Amir Hussain, Erik Cambria |
Autore | Poria Soujanya |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (223 pages) |
Disciplina | 006.3 |
Collana | Socio-Affective Computing |
Soggetto topico |
Neurosciences
Multimedia information systems Optical data processing Natural language processing (Computer science) Translation and interpretation Multimedia Information Systems Image Processing and Computer Vision Natural Language Processing (NLP) Translation |
ISBN | 3-319-95020-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Introduction and Motivation -- Background -- Literature Survey and Datasets -- Concept Extraction from Natural Text for Concept Level Text Analysis -- EmoSenticSpace: Dense concept-based affective features with common-sense knowledge -- Sentic Patterns: Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns -- Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis -- Conclusion and Future Work -- Index. |
Record Nr. | UNINA-9910298407903321 |
Poria Soujanya
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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