Edizione	[1st ed. 2022.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica	1 online resource (406 pages)
Disciplina	929.605
Collana	Communications in Computer and Information Science
Soggetto topico	Computer systems Artificial intelligence Image processing - Digital techniques Computer vision Social sciences - Data processing Application software Education - Data processing Computer System Implementation Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Computers and Education
ISBN	3-031-23606-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
Record Nr.	UNISA-996508666903316

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
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

Autore	Nguyen Ngoc Thanh
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (779 pages)
Disciplina	006.3
Altri autori (Persone)	BotzheimJános GulyásLászló NunezManuel TreurJan VossenGottfried KozierkiewiczAdrianna
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
ISBN	3-031-41774-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Collective Intelligence and Collective Decision-Making -- Assessing the Effects of Expanded Input Elicitation and Machine Learning-based Priming for Crowd Stock Prediction -- RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-based Recommender Systems -- Personalized Quiz-Based Perfume Recommender System Using Social Data -- LSTM-based QoE Evaluation for Web Microservices’ Reputation Scoring -- Previous Opinions is All You Need - Legal Information Retrieval System -- An Agent-Based Network Model for Interpersonal Emotion Regulation in Human-Bot Interaction -- Deep Learning Techniques -- Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning -- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content during the Spread of the Coronavirus Pandemic -- Interpretation of immunofluorescence slides by Deep Learning techniques: Anti-nuclear antibodies case study -- An improved approach for Parkinson’s disease classification based on convolutional neural network -- A Convolutional Recurrent Neural Network model for Classification of Parkinson’s Disease from Resting State EEG signals -- Recognition of Alzheimer’s Disease based on Transfer Learning Approach using Brain MRI Images With Regularization -- Detection and analyzing satellite images by using Conventional neural network -- Classifying Chicken-Made Food Images Using Enhanced MobilNetV2 -- Natural Language Processing -- Initial approach to pharmaceutical opinion search in polish language -- WSDTN a novel dataset for Arabic word sense disambiguation -- CNN-BiLSTM model for Arabic Dialect Identification -- Active Learning with AraGPT2 for Arabic Named Entity Recognition -- FreMPhone: A French Mobile Phone Corpus for Aspect-based Sentiment Analysis -- OTSummarizer an Optimal Transport based approach for extractive text summarization -- Towards a hybrid document indexing approach for Arabic documentary retrieval system -- Sh-DistilBERT: new transfer learning model for Arabic Sentiment Analysis and Aspect Category Detection -- Data Minning and Machine learning -- A hybrid method of k-nearest neighbors with decision tree for water quality classification in aquaculture -- Evaluating Web Crawlers with Machine Learning Algorithms for Accurate Location Extraction from Job Offers -- A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning -- Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets -- AAPL forecasting using contemporary time series models -- Improving Gossip Learning via Limited Model Merging -- Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation -- Social Networks and Speek Communication -- A Comparative Analysis of Long Covid in the French Press and Twitter -- Semantic analysis of transit related tweets in London and Prague -- k-shell Without Decomposition -- Difficulties developing a children’s speech recognition system for languages with limited training data -- Kazakh-Uzbek Speech Cascade Machine Translation on Complete Set of Endings -- Cybersecurity and Internet of Things -- Human-related security threats and countermeasures of electronic banking and identity services - Polish case study -- Design and Development of IoT based Medical Cleanroom -- Reliable framework for Digital Forensics in Medical Internet of Things -- Federated Learning - Opportunities and Application Challenges -- Cooperative Strategies for Decision Making and Optimization -- A new Ant population based improvement heuristic for solving large scale TSP -- Comparison of various mutation operators of the bacterial memetic algorithm on the traveling salesman problem -- Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization -- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem -- Generalized objective function to ensure robust evaluation for evolutionary storage location assignment algorithms -- Bacterial Evolutionary Algorithm based Autoencoder Architecture Search for Anomaly Detection -- Digital Content Understanding and Apllication for Industry 4.0 -- Improved Object Detection by Utilizing the Image Stream -- Combination of DE-GAN With CNN-LSTM for Arabic OCR on Images with Colorful Backgrounds -- A Solution for Building a V-Museum Based on Virtual Reality Application -- Synthetic football sprite animations learned across the pitch -- Solving the Hydrophobic-Polar model with Nested Monte Carlo Search -- Ground Truth Data Generator In Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations -- Theoretical and empirical testing of the randomness of a quantum random number generator with quantum entanglement -- Computational Intelligence in Medical Applications -- Robust Brain Age Estimation via Regression Models and MRI-derived Features -- Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches. Electrocardiogram-based Heart Disease Classification with Machine Learning Techniques -- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-ray Images -- A New Approach For The Diagnosis of Children Personality Disorders Based On Semantic Analysis -- Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living -- Overview of Time Series Classification based on symbolic discretization for ECG applications -- Res 1D CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis.
Record Nr.	UNINA-9910746295203321