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Biblioteca

MARC Lista (tabellare)
2010 XXIX International Conference of the Chilean Computer Science Society
2010 XXIX International Conference of the Chilean Computer Science Society
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2011
Soggetto topico Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 0-7695-4400-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996206461303316
[Place of publication not identified], : IEEE, 2011
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2010 XXIX International Conference of the Chilean Computer Science Society
2010 XXIX International Conference of the Chilean Computer Science Society
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2011
Soggetto topico Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 0-7695-4400-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910140999503321
[Place of publication not identified], : IEEE, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced computing : 11th international advanced computing conference, IACC 2021, Msida, Malta, December 18-19, 2021, revised selected papers / / Deepak Garg [and four others] editors
Advanced computing : 11th international advanced computing conference, IACC 2021, Msida, Malta, December 18-19, 2021, revised selected papers / / Deepak Garg [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (708 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Computer science
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-95502-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910544865303321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced computing : 11th international advanced computing conference, IACC 2021, Msida, Malta, December 18-19, 2021, revised selected papers / / Deepak Garg [and four others] editors
Advanced computing : 11th international advanced computing conference, IACC 2021, Msida, Malta, December 18-19, 2021, revised selected papers / / Deepak Garg [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (708 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Computer science
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-95502-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464548103316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced computing in industrial mathematics : 13th Annual Meeting of the Bulgarian Section of SIAM, December 18-20, 2018, Sofia, Bulgaria, revised selected papers / / Ivan Georgiev, Hristo Kostadinov, Elena Lilkova, editors
Advanced computing in industrial mathematics : 13th Annual Meeting of the Bulgarian Section of SIAM, December 18-20, 2018, Sofia, Bulgaria, revised selected papers / / Ivan Georgiev, Hristo Kostadinov, Elena Lilkova, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (440 pages)
Disciplina 510
Collana Studies in Computational Intelligence
Soggetto topico Mathematics
Matemàtica
Enginyeria industrial
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-71616-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Design of a Multi-objective Optimization Model for Wireless Sensor Networks -- 1 Introduction -- 2 Related Works -- 3 WSN Modeling -- 3.1 A Mathematical Model of WSN with Resource Restrictions -- 3.2 Results from the Simulation Experiment -- 4 Conclusions -- References -- Cross-Validated Sequentially Constructed Multiple Regression with Centered Predictors -- 1 Introduction -- 2 Centered Cross-Validated Sequentially Constructed Multiple Regression -- 3 Summary -- References -- Non-local Nonlinear Perturbation Analysis for a Nonlinear Matrix Equation Arising in Tree-Like Stochastic Processes -- 1 Introduction -- 2 Statement of the Problem -- 3 Main Results -- 4 Numerical Example -- 5 Conclusion -- References -- One Parameter Family of Elliptic Curves and the Equation x4+y4+kx2y2=z2 -- 1 Introduction -- 2 Basic Theorems -- 2.1 The Structure of Mordell-Weil Group -- 2.2 Theorems for Torsions -- 2.3 Theorems for the Rank -- 3 Results -- 3.1 The Main Idea and Results -- 3.2 Conclusion -- References -- An Inner Product Free Solution Method for an Equation of Motion with Indefinite Matrices -- 1 Introduction -- 2 The PRESB Preconditioning Method -- 2.1 Implementation -- 2.2 Eigenvalue Bounds of B-1A -- 3 The Familiar Chebyshev Iteration Method -- 3.1 Advantages -- 3.2 Numerical Tests -- 4 A Modification of the Chebyshev Iteration Method for Polynomially Preconditioned Matrices and an Application -- 4.1 An Equation of Motion -- 4.2 Modifications of the Chebyshev Iteration Method to Handle Outlier Eigenvalues -- 5 Concluding Remarks -- References -- Simulation Model for Investigation of the Behaviour of an Artificial Immune Algorithm for Generation of S-Boxes with Good Cryptographic Properties -- 1 Introduction -- 2 The Simulation Model -- 3 Some Basic Definitions About S-Boxes.
4 Description of the Simulated AIA for Generation of S-Boxes with Good Cryptographic Properties -- 5 Results from the Simulation -- 6 New S-Boxes -- References -- Self-consistent Monte Carlo Solution of Wigner and Poisson Equations Using an Efficient Multigrid Approach -- 1 Introduction -- 2 Wigner Monte Carlo Solver -- 3 Poisson Equation Solver (Multigrid Approach) -- 4 Boundary Conditions -- 5 Results -- 6 Conclusion -- References -- Modelled Versus Satellite Retrieved Estimation of the Direct Normal Irradiance and the Sunshine Duration over Bulgaria -- 1 Introduction -- 2 DISC Model and Reference Dataset -- 2.1 DISC Model Basics -- 2.2 Reference Dataset Description -- 3 Calculations and Comparisons -- 3.1 DNI Estimation -- 3.2 SDU Estimation -- 4 Conclusion -- References -- Numerical Identification of the Time Dependent Vertical Diffusion Coefficient in a Model of Air Pollution -- 1 Introduction -- 2 Mathematical Model and the Inverse Problem -- 3 Solution of the Semi-discrete Inverse Problem -- 4 The One-Dimensional Problem -- 4.1 Solution of the Direct Problem -- 4.2 Solution of the Fully Discrete Inverse Problem -- 5 Numerical Results -- 5.1 Direct Problem Test Examples -- 5.2 Inverse Problem Test Examples -- 5.3 Direct and Inverse Problem with Delta-Function Source -- References -- Generalized Net Model for Flying Ant Colony Optimization -- 1 Introduction -- 2 Short Remarks on Generalized Nets -- 3 Flaying Ant Colony Optimization -- 4 Modelling FACO by GNs -- 5 Conclusion -- References -- Numerical Determination of Time-Dependent Implied Volatility by a Point Observation -- 1 Introduction -- 2 The Inverse Problem -- 3 Solution of the Semi-discrete Inverse Problem -- 4 Solution of the Difference Direct Problem -- 5 Solution of the Difference Inverse Problem -- 5.1 Algorithm -- 6 Computational Results -- 6.1 Direct Problem -- 6.2 Inverse Problem.
7 Conclusions -- References -- Homotopy Analysis Method to Solve Volterra-Fredholm Fuzzy Integral Equations -- 1 Introduction -- 2 Basic Concepts -- 3 Bases of HAM -- 4 HAM for Solving 2D-NVFFIE -- 5 Convergence Analysis -- 6 Numerical Experiment -- References -- Spectral Fractional Laplacian with Inhomogeneous Dirichlet Data: Questions, Problems, Solutions -- 1 Introduction -- 1.1 Riesz Formulation -- 1.2 Spectral Formulation -- 2 Homogeneous Dirichlet Conditions -- 2.1 Analysis of Solution (11) -- 3 Inhomogeneous Spectral Fractional Laplacian -- 4 Numerical Tests -- 5 Concluding Remarks -- References -- Spike Timing Neural Model of Eye Movement Motor Response with Reinforcement Learning -- 1 Introduction -- 2 Model Structure -- 2.1 Sensory Information Processing Layers -- 2.2 Basal Ganglia -- 2.3 Superior Colliculus -- 3 Simulation Results and Discussion -- 4 Conclusions -- References -- Programming Techniques for Energy-Efficient Software -- Abstract -- 1 Programming Techniques for Energy-Efficient Software Approach -- 2 The Case Study MSP430™ Advanced Power Optimizations -- 3 TI EnergyTrace Technology™ -- 3.1 Energy Measurement Method -- 3.2 Energy Capture Modes -- 3.3 Limitations -- 4 The Case Study Verification -- 4.1 The Case Study -- 4.2 Feedback from ULP Advisor™ -- 4.3 Create a Reference Profile Using EnergyTrace Technology™ -- 4.4 Goals of Improvement and Compartment of Profiles -- 4.4.1 Pay Special Attention to Low-Power Mode Use -- 4.4.2 Analyse Code in ULP Advice Window -- 4.4.3 Compare the Profiles -- 4.5 Goals of Improvement and Compartment of Profiles -- 4.5.1 Analyse Code in ULP Advice Window -- 4.5.2 Analyse the States Window -- 4.6 Compare All Profiles -- 4.7 Absolute Power Consumption -- 5 Summary of MSP430™ Advanced Power Optimizations -- 6 Conclusions About X86 Low-Power Programming Techniques -- References.
Modelling Human Biometeorological Conditions Using Meteorological Data from Reanalysis and Objective Analysis-Preliminary Results -- 1 Biometeorological Indices -- 2 Used Data and Performed Calculations -- 3 Results and Discussion -- 4 Conclusion -- References -- The Braided Group of a Square-Free Solution of the Yang-Baxter Equation and Its Group Algebra -- 1 Introduction -- 2 Preliminaries on Braided Groups -- 3 The Symmetric Group G(X,r) of a Finite Square-Free Symmetric Set (X,r) and Its Group Algebra K[G] -- 3.1 Square-Free Solutions and Their Algebraic Objects -- 3.2 The Braided Group G=G(X,r) -- 3.3 The Group Algebra k[G] over a Field k -- References -- Exploring Applicability of the InterCriteria Analysis to Evaluate the Performance of MOE and GOLD Scoring Functions -- 1 Introduction -- 2 Materials and Methods -- 2.1 Target Proteins -- 2.2 Dataset Preparation -- 2.3 Molecular Docking -- 2.4 MOE Software -- 2.5 GOLD Software -- 2.6 InterCriteria Analysis -- 2.7 ICrAData Software Package -- 3 Results and Discussion -- 4 Conclusions -- References -- Multiobjective Approach for Solving Engineering Robust Design Problems -- Abstract -- 1 Introduction -- 2 Multiobjective Decision Making Problem -- 3 An Application of Multiobjective Approach in Ship Design Optimization -- 4 Conclusion -- Acknowledgments -- References -- Iterative Implicit Schemes for Compaction-Driven Darcy Flow of Magma -- 1 Introduction -- 2 Model Formulation -- 3 Numerical Schemes -- 4 Computational Results -- 5 Conclusions -- References -- Finite Time Blow up of the Solutions to Double Dispersive Equations with Linear Restoring Force and High Energy -- 1 Introduction -- 2 Preliminaries -- 3 Proof of the Main Results -- 4 Discussions and Comments -- 4.1 Sign of the Nehari Functional I(0) -- 4.2 Comparison with Known Sufficient Condition -- 5 Conclusion -- References.
Coupled Thermo-Hydro-Mechanical Finite Element Simulation of Loess Slope Under Atmospheric Boundary Conditions -- 1 Introduction -- 2 Description of the Numerical Model -- 2.1 Atmospheric Boundary Conditions (ATM) -- 2.2 Initial and Boundary Conditions -- 2.3 Material Parameters -- 3 Results -- 3.1 Sensitivity to the Components of the ATM Boundary Conditions -- 3.2 Comparison between TH and THM Analyses -- 3.3 Plastic Strain Analysis and Development of the Failure Zone -- 4 Conclusion -- References -- Molecular Dynamics Simulations of His6-FLAG-hIFN Fusion Glycoproteins -- 1 Introduction -- 2 Materials and Methods -- 2.1 Fusion His6-FLAG-hIFN Protein Model -- 2.2 Glycan Models -- 2.3 MD Simulation Protocol -- 3 Results and Discussion -- 3.1 Dependence on Glycosylation Sites -- 3.2 Influence of Glycan Chain Length -- 4 Conclusions -- References -- Several Results Concerning the Barnes G-function, a Cosecant Integral, and Some Other Special Functions -- 1 Introduction -- 2 Correction of Some Formulas Given by Choi, Srivastava and Adamchik -- 3 Identities Involving the Inverse Tangent Integral Ti2 and Legendre's Chi-Function 2 -- References -- Influence of the Temperature on Simulated Annealing Method for Metal Nanoparticle Structures Optimization -- Abstract -- 1 Introduction -- 2 Available Approaches -- 3 The Simulated Annealing Method -- 4 Numerical Experiments -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Blood Flow Instabilities Related to Elasticity and Asymmetry of an Abdominal Aorta Aneurysm -- 1 Introduction -- 2 Model of Asymmetric Abdominal Aortic Aneurysm (AAAA) and Assumptions -- 3 Results and Discussions -- 3.1 Combined Effects of the Asymmetry and Elasticity of the Wall at Laminar Flow -- 3.2 Instabilities of the Flow Regimes at Lower Elastic Modulus in the Range of 400-477kPa -- 3.3 Flow in a Straight Tube.
3.4 Return to Stability at an Increase of the Elastic Modulus.
Record Nr. UNINA-9910483407403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (289 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Vision
Informàtica
Investigació
Soggetto genere / forma Congressos
Llibres electrònics
Soggetto non controllato Mathematics
ISBN 3-031-09469-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996478861003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (289 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Vision
Informàtica
Investigació
Soggetto genere / forma Congressos
Llibres electrònics
Soggetto non controllato Mathematics
ISBN 3-031-09469-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580172403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (698 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-16-3660-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Computing Methodologies -- Analysis of Developers' Sentiments in Commit Comments -- 1 Introduction -- 2 Related Literature -- 3 Research Methodology -- 3.1 Research Data -- 3.2 Sentiment Analysis -- 4 Results -- 5 Threat to Validity -- 6 Conclusions -- References -- Design of UML Diagrams for Intervention for Autism Children (IAC System) -- 1 Introduction -- 2 Functionalities of the System -- 3 Proposed IAC System -- 3.1 System Architecture -- 3.2 Data Flow Diagram -- 4 UML Diagrams -- 4.1 UML Usecase Diagram -- 4.2 UML Class Diagram -- 4.3 UML Activity Diagram -- 4.4 UML Sequence Diagram -- 4.5 UML Collaboration Diagram -- 4.6 UML State Machine Diagram -- 4.7 UML Component Diagram -- 4.8 UML Deployment Diagram -- 5 Experimental Results -- 6 Conclusion and Future Enhancement -- References -- Data Analysis and Forecasting of COVID-19 Outbreak in India Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Methodology -- 4 Result Analysıs -- 5 Conclusion -- References -- Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images -- 1 Introduction -- 2 Analysis Color Fundus Images -- 2.1 Image Pre-processing -- 2.2 Dataset -- 2.3 DRISHTI-GS -- 3 Partitioning -- 4 Fundus Photography Sustainability with the Latest Devices in Current Health-Care Also -- 5 Limitations in the Earlier Fundus Camera -- 6 Machine Learning Methods for Vessel Extraction -- 7 Conclusion -- References -- Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study -- 1 Introduction -- 2 Background -- 3 Model -- 4 Fuzzy Controller -- 5 Results -- 6 Conclusion -- References -- Cancer Prediction Using Novel Ranking Algorithms and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology.
3.1 Ranking Based Algorithms -- 3.2 MAR (Mean Accuracy Ranking) -- 3.3 CDR (Class Differential Ranking) -- 3.4 PCR (Per Class Ranking) -- 4 Experimentation and Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Applying Base Classifiers -- 4.4 Applying Ranking Based Algorithms -- 4.5 Final Model -- 4.6 Comparison of Results with Previous Work -- 5 Conclusion -- References -- Supervısed Learnıng Algorıthm: A Survey -- 1 Introduction -- 2 Methodologies Analysis in Supervised Learning -- 2.1 Logistic Regression -- 2.2 Support Vector Classifier -- 2.3 Decision Tree -- 2.4 Random Forest Classifiers -- 3 Related Work -- 4 Chart of References -- 5 Conclusıon and Future Scope -- References -- Searching Sub-classes Within Type Ia Supernova Using DBSCAN -- 1 Introduction -- 2 Data Set -- 3 Methodology -- 3.1 Validity of DBSCAN -- 4 Results -- 5 Conclusions -- 6 Scope of Study -- References -- Abnormality Detection Based on ECG Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Software Requirements -- 3.2 Our Methodology -- 4 Flowchart of the Proposed Model -- 5 Experiments and Results -- 5.1 Observation Table -- 6 Conclusion -- References -- Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach -- 1 Introduction -- 2 Literature Review -- 3 Algorithms and Techniques Used -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Bi-directional Long Short-Term Memory (Bi-LSTM) -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Data Analysis -- 4.3 Data Pre-processing -- 4.4 Data Conversion to Input Matrix -- 4.5 Build LSTM and Bi-LSTM Model -- 5 Experimental Results and Analysis -- 6 Conclusion and Future Scope -- References -- On the Effects of Substitution Matrix Choices for Pairwise Gapped Global Sequence Alignment of DNA Nucleotides -- 1 Background -- 2 Methods -- 3 Results and Discussion.
4 Conclusion and Future Work -- References -- Case Based Reasoning Approaches for Reuse and Adaptation in Community Question Answering System -- 1 Introduction -- 2 Research Perspective -- 2.1 CQA Approach -- 2.2 Case Based Analysis for Reuse of Information -- 2.3 Textual Comparison Systems -- 2.4 Graphical Textual Likeliness Approach -- 2.5 Bayesian System for Query-Responses -- 3 Experimentation and Methodology -- 3.1 Graphical Configuration -- 3.2 Initial Processing -- 3.3 Similarity Methods -- 3.4 Reuse and Adaptation -- 4 Assessment -- 4.1 Characteristics and Threshold Limits -- 4.2 Association with Human Assessment -- 4.3 Recall and Precision -- 5 Discussion -- 6 Conclusions -- References -- Depression Detection During the Covid 19 Pandemic by Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Result Analysis from Literature Survey -- 5 Limitation -- 6 Conclusion and Future Work -- References -- Mucus Plug Blockage Detection in COVID-19 Patient's Chest X-Ray Using Instance Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Result Analysis -- 4 Conclusion -- References -- Applying Machine Learning to Detect Depression-Related Texts on Social Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Analysis -- 3.2 Tools -- 4 Data Exploration -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Usability Improvements in E-Governance Applications with Simple and Usable Interface (Design Stage) -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Proposed Tools and Technique -- 3.2 Proposed Data -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- 5.1 Future Scope for Researchers -- 5.2 Future Scope for Public Administrator -- References.
PGF Cyberpolicing to Defuse Fake Government of Telangana (FGoT), Fake Government of India (FGoI) and Cybercriminal Legacy -- 1 Introduction -- 2 What Is Fake Government of India - The First FGIIH? -- 3 PGF's AI Solution Approach to CSFGoT -- 4 Disaster Management of Big Data Crimes -- 4.1 The Corona Menace vis-a-vis the FGoT/FGoI Menace -- 5 Cognitive Visuals of Cyberpolicing R& -- D Chief's PGF Organizational Efforts for Adaptive Academic Management: Google Plus Social Network Account, Kcraiah's Snapshots -- 6 Conclusions -- References -- Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions -- 1 Introduction -- 2 Related Work -- 3 Energy Analysis - An Extended Version -- 4 COVID-19 and ML Algorithms -- 4.1 RandomForest - A Brief -- 4.2 COVID-19 Predictions -- 4.3 Popular Packages -- 5 Experimental Results -- 5.1 Validation Analysis -- 5.2 Prediction Analysis -- 5.3 Energy Consumption Analysis -- 6 Conclusion -- References -- Performance Analysis of Deep Learning Classification for Agriculture Applications Using Sentinel-2 Data -- 1 Introduction -- 2 Study Area and Satellite Dataset -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Deep Learning Process -- 3.3 Classification -- 4 Experimental Analysis -- 5 Conclusion -- References -- Smart Approach for Identification of Pneumonia Using Real-Time Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 System Blueprint -- 3.1 Processing System -- 3.2 Setting up System for Use -- 3.3 Anaconda IDE and Jupyter Notebook -- 3.4 Project Environment -- 3.5 Proposed Model -- 3.6 Modeling -- 3.7 Training -- 4 Experimental Results and Outcomes -- 4.1 Data Enrichment -- 4.2 Performance Measures -- 5 Experimental Results -- 5.1 Results -- 5.2 Accuracy and Loss of Proposed Model -- 6 Conclusion and Future Scopes -- References.
A Comparative Study of Deep Learning Techniques for Emotion Estimation Based on E-Learning Through Cognitive State Analysis -- 1 Introduction -- 1.1 Emotion Identification with Facial Expressions -- 1.2 Facial Expression Analysis in E-Learning Systems -- 1.3 Introduction to Cognitive State Analysis in Education -- 2 Related Work -- 3 Comparison Among Various Methods -- 4 Result Analysis from Literature Review -- 5 Conclusion -- References -- Detection of Epileptic Seizures in Long-Term Human EEG by Improved Linear Discriminant Analysis (ILDA) -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Convolutional Neural Networks -- 4.1 Linear Discriminant Analysis -- 5 Results -- 5.1 Performance Analysis -- 6 Conclusion -- References -- Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Dataset Training Flowchart -- 2.3 Output Data Flowchart -- 3 Experiment and Results -- 3.1 Procedure -- 3.2 Results -- 4 Advantages and Disadvantages -- 4.1 Advantages -- 4.2 Disadvantages -- 5 Conclusion -- References -- An Attention Based Automatic Image Description Generation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture -- 4 Training Process -- 5 Experiments Conduction and Result Analysis -- 5.1 Data set -- 5.2 Visualizations from Our Attention Models -- 5.3 Results Obtained -- 6 Conclusion -- 7 Future Scope -- References -- Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds -- 1 Introduction -- 2 Materials and Methods -- 2.1 Audio Features in the Time Domain -- 2.2 Zero-Crossing Rate -- 3 Results -- 3.1 Dataset -- 4 Conclusion -- References -- Mobilenet V2-FCD: Fake Currency Note Detection -- 1 Introduction -- 2 Literature Study -- 3 Proposed System -- 3.1 Data Collection -- 3.2 Data Pre-processing.
3.3 Data Augmentation.
Record Nr. UNINA-9910485587203321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (698 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-16-3660-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Computing Methodologies -- Analysis of Developers' Sentiments in Commit Comments -- 1 Introduction -- 2 Related Literature -- 3 Research Methodology -- 3.1 Research Data -- 3.2 Sentiment Analysis -- 4 Results -- 5 Threat to Validity -- 6 Conclusions -- References -- Design of UML Diagrams for Intervention for Autism Children (IAC System) -- 1 Introduction -- 2 Functionalities of the System -- 3 Proposed IAC System -- 3.1 System Architecture -- 3.2 Data Flow Diagram -- 4 UML Diagrams -- 4.1 UML Usecase Diagram -- 4.2 UML Class Diagram -- 4.3 UML Activity Diagram -- 4.4 UML Sequence Diagram -- 4.5 UML Collaboration Diagram -- 4.6 UML State Machine Diagram -- 4.7 UML Component Diagram -- 4.8 UML Deployment Diagram -- 5 Experimental Results -- 6 Conclusion and Future Enhancement -- References -- Data Analysis and Forecasting of COVID-19 Outbreak in India Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Methodology -- 4 Result Analysıs -- 5 Conclusion -- References -- Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images -- 1 Introduction -- 2 Analysis Color Fundus Images -- 2.1 Image Pre-processing -- 2.2 Dataset -- 2.3 DRISHTI-GS -- 3 Partitioning -- 4 Fundus Photography Sustainability with the Latest Devices in Current Health-Care Also -- 5 Limitations in the Earlier Fundus Camera -- 6 Machine Learning Methods for Vessel Extraction -- 7 Conclusion -- References -- Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study -- 1 Introduction -- 2 Background -- 3 Model -- 4 Fuzzy Controller -- 5 Results -- 6 Conclusion -- References -- Cancer Prediction Using Novel Ranking Algorithms and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology.
3.1 Ranking Based Algorithms -- 3.2 MAR (Mean Accuracy Ranking) -- 3.3 CDR (Class Differential Ranking) -- 3.4 PCR (Per Class Ranking) -- 4 Experimentation and Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Applying Base Classifiers -- 4.4 Applying Ranking Based Algorithms -- 4.5 Final Model -- 4.6 Comparison of Results with Previous Work -- 5 Conclusion -- References -- Supervısed Learnıng Algorıthm: A Survey -- 1 Introduction -- 2 Methodologies Analysis in Supervised Learning -- 2.1 Logistic Regression -- 2.2 Support Vector Classifier -- 2.3 Decision Tree -- 2.4 Random Forest Classifiers -- 3 Related Work -- 4 Chart of References -- 5 Conclusıon and Future Scope -- References -- Searching Sub-classes Within Type Ia Supernova Using DBSCAN -- 1 Introduction -- 2 Data Set -- 3 Methodology -- 3.1 Validity of DBSCAN -- 4 Results -- 5 Conclusions -- 6 Scope of Study -- References -- Abnormality Detection Based on ECG Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Software Requirements -- 3.2 Our Methodology -- 4 Flowchart of the Proposed Model -- 5 Experiments and Results -- 5.1 Observation Table -- 6 Conclusion -- References -- Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach -- 1 Introduction -- 2 Literature Review -- 3 Algorithms and Techniques Used -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Bi-directional Long Short-Term Memory (Bi-LSTM) -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Data Analysis -- 4.3 Data Pre-processing -- 4.4 Data Conversion to Input Matrix -- 4.5 Build LSTM and Bi-LSTM Model -- 5 Experimental Results and Analysis -- 6 Conclusion and Future Scope -- References -- On the Effects of Substitution Matrix Choices for Pairwise Gapped Global Sequence Alignment of DNA Nucleotides -- 1 Background -- 2 Methods -- 3 Results and Discussion.
4 Conclusion and Future Work -- References -- Case Based Reasoning Approaches for Reuse and Adaptation in Community Question Answering System -- 1 Introduction -- 2 Research Perspective -- 2.1 CQA Approach -- 2.2 Case Based Analysis for Reuse of Information -- 2.3 Textual Comparison Systems -- 2.4 Graphical Textual Likeliness Approach -- 2.5 Bayesian System for Query-Responses -- 3 Experimentation and Methodology -- 3.1 Graphical Configuration -- 3.2 Initial Processing -- 3.3 Similarity Methods -- 3.4 Reuse and Adaptation -- 4 Assessment -- 4.1 Characteristics and Threshold Limits -- 4.2 Association with Human Assessment -- 4.3 Recall and Precision -- 5 Discussion -- 6 Conclusions -- References -- Depression Detection During the Covid 19 Pandemic by Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Result Analysis from Literature Survey -- 5 Limitation -- 6 Conclusion and Future Work -- References -- Mucus Plug Blockage Detection in COVID-19 Patient's Chest X-Ray Using Instance Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Result Analysis -- 4 Conclusion -- References -- Applying Machine Learning to Detect Depression-Related Texts on Social Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Analysis -- 3.2 Tools -- 4 Data Exploration -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Usability Improvements in E-Governance Applications with Simple and Usable Interface (Design Stage) -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Proposed Tools and Technique -- 3.2 Proposed Data -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- 5.1 Future Scope for Researchers -- 5.2 Future Scope for Public Administrator -- References.
PGF Cyberpolicing to Defuse Fake Government of Telangana (FGoT), Fake Government of India (FGoI) and Cybercriminal Legacy -- 1 Introduction -- 2 What Is Fake Government of India - The First FGIIH? -- 3 PGF's AI Solution Approach to CSFGoT -- 4 Disaster Management of Big Data Crimes -- 4.1 The Corona Menace vis-a-vis the FGoT/FGoI Menace -- 5 Cognitive Visuals of Cyberpolicing R& -- D Chief's PGF Organizational Efforts for Adaptive Academic Management: Google Plus Social Network Account, Kcraiah's Snapshots -- 6 Conclusions -- References -- Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions -- 1 Introduction -- 2 Related Work -- 3 Energy Analysis - An Extended Version -- 4 COVID-19 and ML Algorithms -- 4.1 RandomForest - A Brief -- 4.2 COVID-19 Predictions -- 4.3 Popular Packages -- 5 Experimental Results -- 5.1 Validation Analysis -- 5.2 Prediction Analysis -- 5.3 Energy Consumption Analysis -- 6 Conclusion -- References -- Performance Analysis of Deep Learning Classification for Agriculture Applications Using Sentinel-2 Data -- 1 Introduction -- 2 Study Area and Satellite Dataset -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Deep Learning Process -- 3.3 Classification -- 4 Experimental Analysis -- 5 Conclusion -- References -- Smart Approach for Identification of Pneumonia Using Real-Time Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 System Blueprint -- 3.1 Processing System -- 3.2 Setting up System for Use -- 3.3 Anaconda IDE and Jupyter Notebook -- 3.4 Project Environment -- 3.5 Proposed Model -- 3.6 Modeling -- 3.7 Training -- 4 Experimental Results and Outcomes -- 4.1 Data Enrichment -- 4.2 Performance Measures -- 5 Experimental Results -- 5.1 Results -- 5.2 Accuracy and Loss of Proposed Model -- 6 Conclusion and Future Scopes -- References.
A Comparative Study of Deep Learning Techniques for Emotion Estimation Based on E-Learning Through Cognitive State Analysis -- 1 Introduction -- 1.1 Emotion Identification with Facial Expressions -- 1.2 Facial Expression Analysis in E-Learning Systems -- 1.3 Introduction to Cognitive State Analysis in Education -- 2 Related Work -- 3 Comparison Among Various Methods -- 4 Result Analysis from Literature Review -- 5 Conclusion -- References -- Detection of Epileptic Seizures in Long-Term Human EEG by Improved Linear Discriminant Analysis (ILDA) -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Convolutional Neural Networks -- 4.1 Linear Discriminant Analysis -- 5 Results -- 5.1 Performance Analysis -- 6 Conclusion -- References -- Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Dataset Training Flowchart -- 2.3 Output Data Flowchart -- 3 Experiment and Results -- 3.1 Procedure -- 3.2 Results -- 4 Advantages and Disadvantages -- 4.1 Advantages -- 4.2 Disadvantages -- 5 Conclusion -- References -- An Attention Based Automatic Image Description Generation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture -- 4 Training Process -- 5 Experiments Conduction and Result Analysis -- 5.1 Data set -- 5.2 Visualizations from Our Attention Models -- 5.3 Results Obtained -- 6 Conclusion -- 7 Future Scope -- References -- Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds -- 1 Introduction -- 2 Materials and Methods -- 2.1 Audio Features in the Time Domain -- 2.2 Zero-Crossing Rate -- 3 Results -- 3.1 Dataset -- 4 Conclusion -- References -- Mobilenet V2-FCD: Fake Currency Note Detection -- 1 Introduction -- 2 Literature Study -- 3 Proposed System -- 3.1 Data Collection -- 3.2 Data Pre-processing.
3.3 Data Augmentation.
Record Nr. UNISA-996464506403316
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
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Advances in Computer Science for Engineering and Education IV : (ICCSEEA2021) ; Kyiv, Ukraine, January 23-24, 2021 / / Zhengbing Hu, Sergey Petoukhov, Ivan Dychka, Matthew He, editors
Advances in Computer Science for Engineering and Education IV : (ICCSEEA2021) ; Kyiv, Ukraine, January 23-24, 2021 / / Zhengbing Hu, Sergey Petoukhov, Ivan Dychka, Matthew He, editors
Autore Hu Zhengbing
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (473 pages)
Altri autori (Persone) PetoukhovSergey
DychkaIvan
HeMatthew
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Informàtica
Enginyeria de programari
Intel·ligència artificial
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-80472-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495168003321
Hu Zhengbing  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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