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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Artificial intelligence. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (239 pages)
    Edition: 1st ed.
    ISBN: 9783030862619
    Series Statement: Lecture Notes in Networks and Systems Series ; v.327
    DDC: 006.3
    Language: English
    Note: Intro -- Preface -- Organization -- Honorary Chairman -- Advisory Board -- Program Committee Chairs -- Organizing Committee Chair -- Workshop Chair -- Program Committee -- Organizing Committee -- DCAI 2021 Sponsors -- Contents -- A Theorem Proving Approach to Formal Verification of a Cognitive Agent -- 1 Introduction -- 2 Related Work -- 3 Logic Framework -- 4 Cognitive Agents -- 5 Agent Capabilities -- 6 Hoare Logic for Actions -- 7 Specifying Agent Programs -- 8 Concluding Remarks -- References -- Parallelization of the Poisson-Binomial Radius Distance for Comparing Histograms of n-grams -- 1 Introduction -- 2 Method -- 2.1 Sequential Computation of the PBR Distance -- 2.2 Parallel Computation of the PBR Distance for GPU -- 3 Experiments -- 4 Conclusion -- References -- CVAE-Based Complementary Story Generation Considering the Beginning and Ending -- 1 Introduction -- 2 Related Works -- 3 Technical Background -- 3.1 Hierarchical Recurrent Encoder Decoder -- 3.2 Variational Hierarchical Recurrent Encoder Decoder -- 3.3 Variational Hierarchical Conversation RNN -- 4 Complementary Story Generation -- 4.1 Story Generator Concatenating Two Stories -- 4.2 Story Generator Considering the Beginning and Ending -- 5 Evaluation Experiment -- 5.1 Dataset -- 5.2 Hyper-parameters -- 5.3 Evaluation Metrics -- 5.4 Results and Analysis -- 6 Conclusion -- References -- A Review on Multi-agent Systems and Virtual Reality -- 1 Introduction -- 2 Research Methodology -- 2.1 Planning -- 2.2 Development of the Study -- 2.3 Mapping Report -- 3 Mapping -- 4 Discussion -- 5 Results -- 5.1 What Applications Have Been Developed Combining VR and MAS? -- 5.2 What Benefits Does the Combined Use of These Technologies Bring? -- 6 Conclusions -- References -- Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability -- 1 Introduction. , 1.1 State of Art -- 1.2 Contributions and Paper Plan -- 2 Dataset and Preprocessing -- 2.1 Description of Binaries Dataset -- 2.2 Is the Malware Modified? -- 2.3 Image-Based Malware Transformation -- 3 Detection Based on Static Methods -- 3.1 Algorithms on Binary Files -- 3.2 Algorithms on Grayscale Images -- 3.3 Algorithms on RGB Images -- 4 Modified Binary Analysis and Attention Mechanism -- 4.1 Modified Binaries -- 4.2 Interpretibility of Results and Most Important Bytes -- 5 Conclusion and Results -- References -- Byzantine Resilient Aggregation in Distributed Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Problem Formulation -- 5 Resilient Aggregation in Distributed RL -- 6 Evaluation -- 6.1 Simulation Setup -- 6.2 Simulation Results -- 7 Conclusion -- References -- Utilising Data from Multiple Production Lines for Predictive Deep Learning Models -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Data -- 3.2 Model -- 3.3 Experiment -- 4 Result -- 5 Discussion and Conclusion -- References -- Optimizing Medical Image Classification Models for Edge Devices -- 1 Background -- 1.1 Motivation -- 1.2 Overview of Compression Techniques -- 2 Method -- 2.1 Dataset -- 2.2 Baseline FP32 Model -- 2.3 Quantization of the Model -- 2.4 Hardware Specifications and Costs -- 2.5 Measuring Accuracy and Inference Latency -- 2.6 Code Repository -- 3 Results and Discussion -- 3.1 Model Accuracy -- 3.2 Model Size -- 3.3 Inference Latency -- 4 Conclusion -- 5 Future Work -- References -- Song Recommender System Based on Emotional Aspects and Social Relations -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Architecture -- 3.2 Classifier of Emotions -- 3.3 Song Recommendation Methodology -- 3.4 Recommendations to Groups -- 4 Results -- 4.1 Evaluation Dataset -- 4.2 Experiments -- 5 Conclusions -- References. , Non-isomorphic CNF Generation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries and Problems Definitions -- 4 The Algorithm -- 5 Conclusion -- References -- A Search Engine for Scientific Publications: A Cybersecurity Case Study -- 1 Introduction -- 2 Related Work -- 3 Proposed Solution -- 3.1 Pipeline Description -- 4 Case Study -- 4.1 Results -- 5 Conclusion -- References -- Prediction Models for Coronary Heart Disease -- 1 Introduction -- 2 Methodology -- 2.1 Business Understanding -- 2.2 Data Understanding -- 2.3 Data Preparation -- 2.4 Modeling -- 2.5 Evaluation -- 3 Results and Discussion -- 4 Conclusion -- References -- Soft-Sensors for Monitoring B.Thuringiensis Bioproduction -- 1 Introduction -- 2 Material and Methods -- 2.1 Organism and Culture Media -- 2.2 Fermentation Conditions -- 2.3 Total Cell and Spores Count -- 2.4 Dry Matter -- 2.5 Quantification of Delta Endotoxins Production -- 2.6 Sugar Analysis -- 3 Support Vector Machine -- 4 Results -- 5 Conclusions -- References -- A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Data Collection -- 3.2 Data Exploration -- 3.3 Data Preparation -- 3.4 Evaluation Metrics -- 3.5 Decision Trees -- 3.6 Random Forests -- 4 Experiments -- 5 Results and Discussion -- 6 Conclusions -- References -- Machine Learning for Network-Based Intrusion Detection Systems: An Analysis of the CIDDS-001 Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Dataset Labelling -- 3.3 Dataset Preprocessing and Sampling -- 3.4 Models -- 4 Results and Discussion -- 4.1 Label Comparison -- 4.2 Discussion -- 5 Conclusion -- References -- Wind Speed Forecasting Using Feed-Forward Artificial Neural Network -- 1 Introduction -- 2 Related Works. , 3 Feed-Forward Artificial Neural Network -- 4 Database -- 5 Results -- 6 Conclusions -- References -- A Multi-agent Specification for the Tetris Game -- 1 Introduction -- 2 Background -- 3 Video Games and Specification as MAS -- 4 Case Study: Tetris -- 5 Results and Discussion -- 6 Conclusions -- References -- Service-Oriented Architecture for Data-Driven Fault Detection -- 1 Introduction -- 2 Background -- 2.1 Service-Oriented Architecture -- 2.2 Isolation Forest -- 3 System Architecture -- 4 Case Study -- 4.1 Predictive Maintenance Methodology -- 4.2 Experimental Results -- 5 Conclusion -- References -- Distributing and Processing Data from the Edge. A Case Study with Ultrasound Sensor Modules -- 1 Introduction -- 2 Related Work -- 3 Distributing Data for Intelligent Control -- 3.1 Changing the Distributed Data Model -- 3.2 Control Node Characterisation at the Edge Level -- 4 Case Study -- 5 Experiments and Results -- 6 Conclusions -- References -- Bike-Sharing Docking Stations Identification Using Clustering Methods in Lisbon City -- 1 Introduction -- 1.1 Lisbon Bicycles -- 1.2 Related Work -- 2 Methodology -- 2.1 Data -- 2.2 Process -- 3 Discussion and Results -- 3.1 Parque das Nações -- 3.2 Beato and Marvila -- 4 Conclusion -- References -- Development of Mobile Device-Based Speech Enhancement System Using Lip-Reading -- 1 Introduction -- 2 Lip-Reading Method Using VAE -- 3 Recognition Performance Study Regarding Users, Vocabulary Size, and Speaking Style -- 4 Development of Lip-Reading System Using Mobile-Phone -- 5 Discussion -- 6 Conclusion -- References -- Author Index.
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Artificial intelligence-Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (272 pages)
    Edition: 1st ed.
    ISBN: 9783030238872
    Series Statement: Advances in Intelligent Systems and Computing Series ; v.1003
    Language: English
    Note: Intro -- Preface -- Organization -- Honorary Chairman -- Program Committee Chairs -- Workshop Chair -- Scientific Committee -- Organizing Committee -- Contents -- Artificial Intelligence Applications -- Development of a Dangerous Driving Suppression System Using Inverse Reinforcement Learning and Blockchain -- Abstract -- 1 Introduction -- 1.1 ISA (Intelligent Speed Adaptation) -- 1.2 Inverse Reinforcement Learning (IRL) -- 2 Proposed System -- 2.1 Architecture of IRL -- 2.2 Blockchain -- 3 Case-Study -- 3.1 Results -- 3.2 Discussion -- 4 Conclusions -- References -- Korean License Plate Recognition System Using Combined Neural Networks -- Abstract -- 1 Introduction -- 2 Vehicle Registration Plates of the Republic of Korea -- 3 Related Work -- 3.1 CNN-Based Approach for Car Number Plate Recognition -- 3.2 Convolutional Recurrent Neural Networks -- 4 Proposed System -- 4.1 License Plate Detection -- 4.2 Scene Text Recognition with Geometrical Image Transformation -- 5 Experiment Results and Evaluation -- 5.1 Datasets -- 5.2 Networks Training -- 5.3 Results -- 6 Conclusion and Future Work -- Acknowledgment -- References -- A Comparative Study of The Corpus for Story Creation System -- 1 Introduction -- 2 Related Study -- 2.1 Supporting Contents Creation -- 2.2 Story Creation -- 3 Construction of Story Creation System -- 3.1 Corpus Creation -- 3.2 Paragraph Vector Model -- 3.3 The Method of Route Creation -- 3.4 User Interface Implementation -- 3.5 Examples of Generated Sentences -- 4 Experiment 1 -- 4.1 Questionnaire Evaluation -- 4.2 The Comparative Result by System and Random Generation -- 4.3 Consideration -- 5 Change of Corpus Preprocessing -- 6 Experiment 2 -- 6.1 Experimental Method -- 6.2 Result and Consideration -- 7 Conclusion -- References -- A Short Survey on Chatbot Technology: Failure in Raising the State of the Art -- 1 Introduction. , 2 The Survey Report -- 3 Conclusions -- References -- Sale Forecast for Basic Commodities Based on Artificial Neural Networks Prediction -- Abstract -- 1 Introduction -- 2 Theoretical Review -- 3 Materials and Methods -- 3.1 Data -- 3.2 Description -- 4 Results -- 4.1 Autocorrelation Analysis -- 4.2 Selection of the Forecasting Method -- 5 Conclusions -- References -- Predicting Shuttle Arrival Time in Istanbul -- 1 Introduction -- 2 Proposed Approach -- 3 Analytics System Architecture -- 4 Preparing the Prediction Engine -- 5 Evaluation -- 6 Related Work -- 7 Conclusion and Future Works -- References -- Human-Computer Interaction in Intelligent Tutoring Systems -- Abstract -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 ITS -- 2.2 Affective Computing -- 2.3 Pattern Interaction Using Behaviour Biometrics -- 2.4 Attention and Learning Styles -- 3 Proposed Architecture -- 4 Methodology and Results -- 4.1 Population -- 5 Dataset -- 6 Conclusion and Future Work -- Acknowledgement -- References -- Bioinformatics, Biomedical Systems, e-health, Ambient Assisting Living -- Smart Cities: A Taxonomy for the Efficient Management of Lighting in Unpredicted Environments -- 1 Introduction: Comfort versus Energy Consumption in Smart Cities -- 2 State of the Art: Parameters to Measure the Characteristics of Vehicle Mobility in Smart Cities -- 2.1 Considerations on the Topology of the Tracks, Environment and Pedestrians -- 2.2 Considerations About Intelligent Control Systems for Road Environments -- 3 Proposal -- 3.1 Explanation of the Scenarios -- 3.2 Calculations -- 3.3 System Proposed -- 4 Conclusions -- References -- Integrative Biological, Cognitive and Affective Modeling of Caffeine Use on Stress -- Abstract -- 1 Introduction -- 2 Underlying Biological and Neurological Principles -- 3 The Temporal-Causal Network Model -- 4 Example Simulation. , 5 Mathematical Analysis -- 6 Discussion -- References -- Cognitive Modeling of Mindfulness Therapy: Effect of Yoga on Overcoming Stress -- Abstract -- 1 Introduction -- 2 Neurological Findings -- 3 Computational Model -- 4 Mathematical Analysis -- 5 Simulation Result -- 6 Discussion -- References -- A Healthcare Decision Support System to Overcome Therapeutic Centres Challenges -- 1 Introduction -- 2 Literature Review -- 3 Therapeutic Centre Challenges -- 3.1 Time Scheduling Problem -- 3.2 Communication -- 4 Decision Support Architecture -- 5 Conclusions and Future Work -- References -- Data Mining, Information Extraction, Semantic, Knowledge Representation -- An Intelligent Approach to Design and Development of Personalized Meta Search: Recommendation of Scientific Articles -- Abstract -- 1 Introduction -- 2 Theoretical Review -- 3 Materials and Methods -- 3.1 Topic Models -- 3.2 Description -- 3.3 Approximation # 1 -- 3.4 Approximation # 2 -- 3.5 Data -- 4 Results -- 5 Conclusions -- References -- Semantic Links Across Distributed Heterogeneous Data -- 1 Introduction -- 2 Architecture -- 2.1 Adaptors -- 2.2 Connector -- 3 Analysis -- 4 Conclusions -- References -- Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps Part 2: Improvement of Clustering Performance Based on Codebook Vector Density -- 1 Introduction -- 2 Related Work -- 3 Motion Measuring for Flat Finishing Skill Training -- 4 Feature Extraction Based on Y-Z Trajectory of Motion -- 5 Peculiarity Classification by Torus Type SOM -- 6 Clustering Torus SOM Result -- 7 Improvement of Classification Performance by Different Learning Schedules -- 8 Classification Experiment -- 9 Conclusion -- References -- An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities -- 1 Introduction -- 2 Related Works. , 2.1 Knowledge Graph Completion -- 2.2 KGC with Ontologies -- 2.3 KGC with Fresh Entities -- 3 An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities -- 4 Methodology -- 4.1 Baseline Model -- 4.2 Datasets -- 4.3 Training Protocol -- 4.4 Evaluation Protocol -- 5 Results and Discussion -- 6 Conclusion and Future Works -- References -- Exploitation of Open Data Repositories for the Creation of Value-Added Services -- Abstract -- 1 Introduction -- 2 A Process Model for Development -- 3 Mining of Open Data -- 3.1 Open Data Portal of the Madrid City Council -- 3.2 A Value-Added Service for Tourism in Madrid -- 4 Conclusions and Future Work -- Acknowledgment -- References -- Feature Extraction and Classification of Odor Using Attention Based Neural Network -- Abstract -- 1 Introduction -- 2 Key Components Used for the Proposed Method -- 2.1 GRU (Gated Recurrent Unit) -- 2.2 Seq2Seq Model -- 2.3 Attention Mechanism -- 3 Measurement of Odor Data -- 4 Proposed Model -- 5 Identification Method -- 6 Result -- 7 Discussion -- 8 Conclusions -- References -- A Conceptual Group Decision Support System for Current Times: Dispersed Group Decision-Making -- Abstract -- 1 Introduction -- 2 The Web-Based Group Decision Support System's Conceptual Model -- 2.1 Conceptual Flow -- 2.2 Architecture -- 3 Decision-Makers Representation -- 4 Group Support and Recommendation: Possible Perspectives -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Distributed Computing, Grid Computing, Cloud Computing -- Density Classification Based on Agents Under Majority Rule: Connectivity Influence on Performance -- Abstract -- 1 Introduction -- 2 A Brief Contextualization -- 2.1 Density Classification Task -- 2.2 Majority Rule -- 2.3 Circulant Graphs -- 3 DCT Formulation -- 4 Connectivity Influence on Performance -- 5 Concluding Remarks. , Acknowledgements -- References -- Fault Detection Mechanism of a Predictive Maintenance System Based on Autoregressive Integrated Moving Average Models -- Abstract -- 1 Introduction -- 2 Context -- 3 Predictive Models -- 4 Fault Detection Mechanism -- 5 Conclusion -- Acknowledgements -- References -- Object Recognition: Distributed Architecture Based on Heterogeneous Devices to Integrate Sensor Information -- 1 Introduction: The Environment Knowledge Acquisition Process -- 2 System Architecture -- 3 Experiments and Results -- 3.1 System Implemented -- 3.2 Scenario and Experiment Performed -- 3.3 Results -- 4 Conclusions and Future Work -- References -- A Gift-Exchange Model for the Maintenance of Group Cohesion in a Telecommunications Scenario -- 1 Introduction -- 2 Methodology and Tools -- 3 Design and Implementation -- 3.1 Model Assumptions -- 3.2 Agents -- 4 Simulation's Parameters -- 5 Simulation Dynamics -- 6 Results -- 6.1 Scenarios A and B -- 6.2 Scenarios C and D -- 6.3 Conclusions Obtained from Executed Simulations -- 7 Conclusions -- References -- New Algorithms -- A Sensitivity and Performance Analysis of Word2Vec Applied to Emotion State Classification Using a Deep Neural Architecture -- 1 Introduction -- 2 Word2Vec and Emotion State Classification -- 2.1 Sensitivity Analysis of Word2Vec Applied to Classify Emotion States Using a Deep Neural Network -- 2.2 Deep Neural Net Classifier -- 2.3 Methodology for Emotion State Classification -- 2.4 Results and Discussion -- 2.5 Analyzing the Computational Performance -- 3 Discussion and Future Works -- References -- Multi-view Cooperative Deep Convolutional Network for Facial Recognition with Small Samples Learning -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 DCNN -- 2.2 Multi-view DCNN Method -- 3 Experiments -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Results on FER2013. , 3.4 Results on RAF.
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Electronic data processing-Distributed processing-Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (350 pages)
    Edition: 1st ed.
    ISBN: 9783030530365
    Series Statement: Advances in Intelligent Systems and Computing Series ; v.1237
    DDC: 4.3600000000000003
    Language: English
    Note: Intro -- Preface -- Organization -- Honorary Chairman -- Program Committee Chairs -- Workshop Chair -- Advisory Board -- Scientific Committee -- Organizing Committee -- Local Organizing Committee -- DCAI 2020 Sponsors -- Contents -- A Risk-Driven Model for Traffic Simulation -- 1 Introduction -- 2 Driving Model -- 2.1 Formalisation of the Model -- 2.2 Movement Rules and Regulation Mechanism -- 2.3 Calibration of Parameters -- 3 Validation of the Behavioural Model -- 3.1 Perception Distance -- 3.2 Inter-vehicle Distance -- 3.3 Lane Switching -- 4 Conclusion -- References -- SMARTSEC4COP: Smart Cyber-Grooming Detection Using Natural Language Processing and Convolutional Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Preprocessing -- 2.2 W2V Transformation -- 2.3 Classification Model -- 3 Results -- 4 Conclusions and Future Work -- References -- Improving BERT with Focal Loss for Paragraph Segmentation of Novels -- 1 Introduction -- 2 Related Works -- 2.1 Imbalanced Classification -- 2.2 Text Segmentation -- 3 Datasets -- 4 Methodology -- 4.1 BERT -- 4.2 Loss Function -- 5 Experiment -- 5.1 Experimental Settings -- 5.2 Evaluation Metrics -- 5.3 Experimental Results -- 6 Conclusions and Future Works -- References -- Parallel Implementation of Nearest Feature Line and Rectified Nearest Feature Line Segment Classifiers Using OpenMP -- 1 Introduction -- 2 OpenMP Parallelization of NFL and RNFLS Classifiers -- 2.1 Nearest Feature Line and Its Parallelization -- 2.2 Rectified Nearest Feature Line Segment and Its Parallelization -- 3 Experimental Results -- 4 Conclusions -- References -- Let's Accept a Mission Impossible with Formal Argumentation, or Not -- 1 Introduction -- 1.1 Research Problem -- 1.2 The Objective -- 1.3 Related Work -- 2 Technical Preliminaries. , 3 Causal Abstract Argumentation or Bipolar Argumentation with Causal Support Interpretation -- 3.1 Acceptability Semantics -- 4 Conclusion -- References -- Analysis of Partial Semantic Segmentation for Images of Four-Scene Comics -- 1 Introduction -- 2 Related Work -- 2.1 DeepLabv3+ -- 2.2 Comic Engineering -- 3 Dataset -- 4 Experimental Setup -- 5 Numerical Experiment -- 6 Conclusion -- References -- Two Agent-Oriented Programming Approaches Checked Against a Coordination Problem -- 1 Introduction -- 2 Jadescript and Jason in Brief -- 3 The Santa Claus Coordination Problem -- 4 Quantitative Comparison -- 5 Conclusion -- References -- Context-Aware Information for Smart Retailers -- 1 Introduction -- 2 Basic Approach -- 3 Design and Implementation -- 3.1 Context Information Manager -- 3.2 Runtime System -- 3.3 Mobile Agent-Based Content -- 4 Current Status -- 5 Related Work -- 6 Conclusion -- References -- Morphometric Characteristics in Discrete Domain for Brain Tumor Recognition -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Base -- 2.2 Pre-processing and ROI Definition -- 2.3 Form Descriptors -- 2.4 Contact Surface Area -- 2.5 Discrete Curvature -- 2.6 Discreet Tortuosity -- 2.7 Volumetric Ratio -- 3 Results -- 4 Discussion and Conclusion -- References -- Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles -- 1 Introduction -- 2 Context and Related Work -- 2.1 Data Fusion -- 2.2 Related Work -- 3 Proposed Approach -- 3.1 Terminology and Outline of the Study -- 3.2 Criteria for Selecting Sources -- 3.3 The Algorithm -- 4 Implementation and Experimentation -- 4.1 Results of Experiments and Discussion -- 5 Conclusion and Perspectives -- References -- A Lightweight Pedestrian Detection Model for Edge Computing Systems -- 1 Introduction -- 2 Related Works. , 2.1 Deep Learning-Based Detection Approaches -- 2.2 Design of Lightweight Detection Models -- 3 The Proposed Approach -- 4 Experimental Results -- 5 Conclusion -- References -- Collaborative Recommendations in Online Judges Using Autoencoder Neural Networks -- 1 Introduction -- 2 Related Works and Background -- 2.1 Programming Contests and Online Judges -- 2.2 Recommender Systems in OJs -- 2.3 Recommender Systems and Artificial Neural Networks -- 3 Recommending Tasks Using Autoencoder Neural Network -- 4 Experimental Evaluation -- 5 Conclusions -- References -- Natural Language Inference in Ordinary and Support Verb Constructions -- 1 Introduction -- 2 The Software: NLPYTALY -- 2.1 The Software: Sentence (1) -- 2.2 The Software: Sentence (2) -- 3 Support vs. Ordinary Verbs -- 4 Conclusion -- References -- Comparative Analysis Between Different Automatic Learning Environments for Sentiment Analysis -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pre-processing -- 2.2 Characteristic Extraction -- 2.3 Training Phase -- 2.4 Test Phase -- 2.5 Evaluation -- 2.6 Accuracy and Recall -- 3 Obtained Results -- 3.1 Data Set -- 3.2 Experimental Results -- 4 Comparison of Results Between Python and Weka -- 5 Conclusions -- References -- Context-Aware Music Recommender System Based on Automatic Detection of the User's Physical Activity -- 1 Introduction -- 2 Context-Aware Recommendation Systems in Music -- 2.1 Related Work -- 2.2 Adding the Context: Influence of Music on Activity Performance -- 3 Case Study: CARS in Music Streaming Services -- 3.1 Classification of Physical Activity -- 3.2 Classification of the Songs According to the Activity -- 3.3 Recommendation to the User -- 3.4 User Testing Evaluation -- 4 Conclusions and Future Lines -- References -- Classification of Chest Diseases Using Deep Learning -- 1 Introduction -- 2 Problem Statement. , 3 Proposed Solution -- 3.1 Proposed Architecture -- 3.2 Training Process -- 4 Results and Discussion -- 4.1 Training and Validation Results -- 4.2 Comparison with the Original ChestX-Ray8 Model -- 4.3 Discussion on Limitations and Extensions of the Proposed Approach -- 5 Conclusions -- References -- Mobile Device-Based Speech Enhancement System Using Lip-Reading -- 1 Introduction -- 2 Preliminary UI Testing of the Speech Enhancement System -- 3 Word Recognition Algorithm -- 3.1 Data Collection and Preprocessing of the Lip-Reading System -- 3.2 Feature Extraction of Viseme Images -- 3.3 Generation of the Feature Vector Sequences -- 3.4 Generation of the Training Data for Word Recognition Model -- 3.5 Word Recognition Experiment Using VAE Encoder and CNN -- 4 Discussion -- 5 Conclusions -- References -- Mobile Networks and Internet of Things: Contributions to Smart Human Mobility -- 1 Introduction -- 2 A Survey on Connectivity Platforms in IoT -- 3 Mobile Networks Applications -- 3.1 5G Architecture -- 3.2 Impact on Cities -- 4 Emergent Mobile Technologies and Infrastructures -- 4.1 Impact on IoT -- 4.2 Impact on Asset Tracking Applications -- 5 Conclusions -- References -- Design and Implementation of a System to Determine Property Tax Through the Processing and Analysis of Satellite Images -- 1 Introduction -- 2 Methodology -- 2.1 Neural Networks -- 2.2 Obtaining the Reference -- 2.3 Edge Detection -- 3 Results and Discussion -- 4 Conclusions -- References -- Multi-step Ultraviolet Index Forecasting Using Long Short-Term Memory Networks -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Data Collection -- 3.2 Data Exploration -- 3.3 Data Preparation -- 3.4 Evaluation Metrics -- 3.5 LSTMs -- 4 Experiments -- 5 Results and Discussion -- 6 Conclusions -- References. , Multispectral Image Analysis for the Detection of Diseases in Coffee Production -- 1 Introduction -- 2 Related Studies -- 3 Materials and Methods -- 3.1 Study Area -- 3.2 Used Images -- 3.3 Field Sampling for Training and Validation -- 3.4 Band Combination -- 3.5 Calculation of the Normalized Difference Vegetation Index (NDVI) -- 3.6 Segmentation and Classification of Images -- 4 Experiments and Results -- 5 Conclusions and Future Research -- References -- Photograph Classification Based on Main Theme and Multiple Values by Deep Neural Networks -- 1 Introduction -- 2 Dataset -- 2.1 Construction of Dataset -- 2.2 Label of Dataset -- 3 Experiment -- 3.1 Classification -- 3.2 Visualization -- 4 Consideration -- 5 Conclusion -- References -- In-Vehicle Violence Detection in Carpooling: A Brief Survey Towards a General Surveillance System -- 1 Introduction -- 2 State of the Art -- 3 The Sample Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Multiagent Systems and Role-Playing Games Applied to Natural Resources Management -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Multiagent Systems -- 2.2 Role-Playing Games -- 2.3 Natural Resources Management -- 2.4 Integration of the Areas -- 2.5 Methodologies -- 2.6 Related Projects -- 3 The Proposed RPG -- 3.1 The Calculation Engine -- 4 Conclusions and Further Works -- References -- A Systematic Review to Multiagent Systems and Regulatory Networks -- 1 Introduction -- 2 Methodology -- 3 Results Analysis -- 4 Conclusions -- References -- The Reversibility of Cellular Automata on Trees with Loops -- 1 Introduction -- 2 Linear Cellular Automata on Trees with Loops -- 2.1 General Considerations -- 2.2 Linear CA on Full Trees with Loops -- 3 Solving the Reversibility Problem -- 4 Conclusions and Further Work -- References -- Virtual Reality Tool for Learning Sign Language in Spanish. , 1 Introduction.
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  • 4
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of agricultural and food chemistry 40 (1992), S. 175-178 
    ISSN: 1520-5118
    Source: ACS Legacy Archives
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    FEMS microbiology letters 68 (1990), S. 0 
    ISSN: 1574-6968
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Escherichia coli K-12 produces both the OmpF and OmpC porins, the relative amounts of which in the outer membrane are affected in a reciprocal manner by the osmolarity of the growth medium. In contrast, E. coli B produces only the OmpF porin, regardless of the medium osmolarity. In this study, it was revealed that there is an extensive deletion within the ompC locus of the E. coli B chromosome. Cloning and nucleotide sequencing of the regulatory gene, ompR, of E. coli B revealed that there are two amino acid alterations (Lys-6 to Asn and Ala-130 to Thr) in the amino acid sequence of the OmpR protein, as compared with that of E. coli K-12. It is suggested that these particular amino acid alterations are responsible for the constitutive expression of the ompF gene observed in E. coli B.
    Type of Medium: Electronic Resource
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  • 6
    Publication Date: 2015-06-17
    Description: Cortical neural activities lead to changes in the cerebral blood flow (CBF), which involves astrocytic control of cerebrovascular tone. However, the manner in which astrocytic activity specifically leads to vasodilation or vasoconstriction is difficult to determine. Here, cortical astrocytes genetically expressing a light-sensitive cation channel, channelrhodopsin-2 (ChR2), were transcranially activated with a blue laser while the spatiotemporal changes in CBF were noninvasively monitored with laser speckle flowgraphy in the anesthetised mouse cortex. A brief photostimulation induced a fast transient increase in CBF. The average response onset time was 0.7 ± 0.7 sec at the activation foci, and this CBF increase spread widely from the irradiation spot with an apparent propagation speed of 0.8–1.1 mm/sec. The broad increase in the CBF could be due to a propagation of diffusible vasoactive signals derived from the stimulated astrocytes. Pharmacological manipulation showed that topical administration of a K+ channel inhibitor (BaCl2; 0.1–0.5 mM) significantly reduced the photostimulation-induced CBF responses, which indicates that the ChR2-evoked astrocytic activity involves K+ signalling to the vascular smooth muscle cells. These findings demonstrate a unique model for exploring the role of the astrocytes in gliovascular coupling using non-invasive, time-controlled, cell-type specific perturbations. Scientific Reports 5 doi: 10.1038/srep11455
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
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  • 7
    Publication Date: 2017-01-28
    Description: Non-lymphoid organs , are not merely the sites for effector T-cell-function.Ectopic accumulations of lymphoid cells arise in non-lymphoid organs under long-lived self-perpetuating chronic inflammation. 1 These accumulations are called tertiary lymphoid organs (TLOs), and they function as antigen-presenting sites. 1 TLOs are characterized by their cellular, organizational, chemokine, and vascular similarity to lymph nodes (LNs). 1 This article is protected by copyright. All rights reserved.
    Print ISSN: 0007-0963
    Electronic ISSN: 1365-2133
    Topics: Medicine
    Published by Wiley-Blackwell
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