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1. |
Record Nr. |
UNINA9910794540303321 |
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Autore |
Mittal Neeraj |
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Titolo |
COVID-19 |
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Pubbl/distr/stampa |
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Sharjah : , : Bentham Science Publishers, , 2021 |
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©2021 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (223 pages) |
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Altri autori (Persone) |
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BhadadaSanjay K |
KatareO. P |
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Disciplina |
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Soggetti |
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COVID-19 (Disease) - Prevention |
COVID-19 (Disease) - Economic aspects |
COVID-19 (Disease) - Social aspects |
COVID-19 Pandemic, 2020- |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- List of Contributors -- Chapter 1 -- Sunishtha1, Govind Singh1 and Sanju Nanda1,* -- INTRODUCTION -- THE ATHENIAN PLAGUE -- PLAGUE OF JUSTINIAN -- THE BLACK DEATH -- SPANISH FLU -- AIDS -- SMALLPOX -- SARS -- SWINE FLU OR H1N1 PANDEMIC -- EBOLA -- COVID-19 -- ORIGIN OF CORONAVIRUS -- TYPES OF CORONAVIRUSES -- DISEASE ASSOCIATED WITH CORONAVIRUSES -- MURINE HEPATITIS VIRUS (MHV) -- Central Nervous System -- Hepatitis -- Pneumonitis -- BOVINE CORONAVIRUS -- HUMAN CORONAVIRUS -- ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 2 -- Hitesh Malhotra1,*, Anjoo Kamboj1 and Peeyush Kaushik1 -- INTRODUCTION -- GENOMIC STRUCTURE OF CORONAVIRUS -- STRUCTURAL PROTEINS -- Spike Protein -- Small Membrane Protein -- Membrane Protein -- Hemagglutinin-Esterase -- Nucleocapsid and Internal Proteins -- Replicase Protein -- VIRAL CYCLE -- OUTBREAKS OF CORONAVIRUS -- Porcine Coronavirus -- Avian Coronavirus -- Feline Coronavirus -- Bovine Coronavirus -- Murine Coronavirus -- Human Coronavirus -- SARS-CoV -- MERS-CoV -- |
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COVID-19 -- Introduction -- Chronology of COVID-19 -- Symptoms -- Transmission -- Treatment -- LIST OF ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 3 -- Kamya Goyal1,2,#, Shammy Jindal1,#, Tarun Kumar3, Jugnu Goyal4, Reena Sharma5, Ravinder Singh6 and Samir Mehndiratta7,8,* -- INTRODUCTION -- GEOGRAPHICAL DISTRIBUTION -- GLOBAL EPIDEMIOLOGY OF COVID-19 -- Effect of Age, Sex and other Factors on Covid-19-Related Deaths -- COVID-19 CASE COMPARISONS IN DIFFERENT REGION OF WORLD (WORLD HEALTH ORGANIZATION, 2020) -- COVID-19 IN INDIA -- REPORT BY ICMR ON COVID-19 ABOUT CONTAINMENT ZONE IN INDIA -- NATIONAL RESPONSES ON COVID-19 WORLDWIDE. |
Asia -- China -- South Korea -- Middle Eastern -- Iran -- Europe -- Spain -- France -- North America -- United States -- South America -- Africa -- Oceania -- EFFECT OF LOCKDOWN ON COVID-19 CASES IN TOP TEN MOST AFFECTED COUNTRIES OF WORLD -- THE ROLE OF WHO AND INGOS FOR PROVIDING DATA IN COVID-19 -- OUTCOMES FROM SOME PUBLISHED REPORTS ON COVID-19 EPIDEMIOLOGY -- Herd Immunity-COVID-19 -- CONCLUSION -- LIST OF ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 4 -- Anirban Ghosh1 and Shamsher Singh1,* -- INTRODUCTION -- TRANSMISSION OF COV -- Virus Life Cycle -- Role of Structural Proteins in The Pathogenesis -- A. Spike Protein -- B. Hemagglutinin-Esterase (HE) Protein -- C. Membrane (M) Protein -- D. Small Envelop (E) Protein -- E. Nucleocapsid (N) Protein and Internal (I) Protein -- F. Replicase Proteins -- G. CoV Associated Protein -- Pathophysiology from a Cell Biology Perspective -- Phase I. Asymptomatic Stage (First 1-2 Days of Infection) -- Phase II. Upper Airway and Conducting Airway Response (Next Few Days) -- Phase III. Hypoxia, Ground-glass Infiltrates, Progression to ARDs -- CONCLUSION -- LIST OF ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 5 -- Jasleen Kaur1, Baljinder Singh2, Bikash Medhi3 and Gurpreet Kaur1,* -- INTRODUCTION -- CLINICAL PRESENTATIONS OF COVID-19 INFECTION -- INTER-INDIVIDUAL VARIATIONS IN CLINICAL PRESENTATIONS DUE TO DIFFERENTIAL SUSCEPTIBILITY TOWARDS COVID-19 -- Neonates or Newborns (Upto 1 Month) -- Infants (1 Month-2 Years), Children (2-10 Years) -- Adolescent (11-19 Years), Young (20-35 Years) and Middle Aged (36-59 Years) Patients -- Elderly (> -- 60 Years) and Older (> -- 80 Years) Patients -- ACE2 -- Gender -- Blood Group -- Previous Immunization -- COMORBIDITY -- CONCLUSION. |
LIST OF ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 6 -- Richa Deshpande1,#, Aishwarya Joshi1,#, Nikunj Tandel1 and Rajeev K. Tyagi2,* -- COVID-19: A PANDEMIC DISEASE -- COVID-19: EARLY DETECTION BASED ON SYMPTOMS -- Clinical Analysis -- Hematological Analysis -- Chest CT -- COVID-19: MOLECULAR DETECTION OF VIRUS -- RT-PCR Based Assays -- Loop Mediated Isothermal Amplification (LAMP) -- CRISPR-Isothermal Amplification Based Assays -- Microarrays -- Metagenomic Sequencing Based Methods -- Gold Nanoparticles-Based Colorimetric Assay -- COVID-19: SERIOLOGICAL AND IMMUNOLOGICAL BASED DETECTION -- BIOMARKER IDENTIFICATION: APPROACH OF SEROLOGICAL PLATFORM -- Antibody Biomarkers -- Antigen Biomarkers -- Procalcitonin and Interleukin-6 as Prognostic COVID-19 Biomarkers -- SEROLOGICAL AND IMMUNOLOGICAL ASSAYS -- Enzyme-linked Immunosorbent Assay (ELISA) -- Lateral Flow Immunoassay -- Neutralization Assays -- |
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Luminescence-based Immunoassays -- Biosensor Tests -- Rapid Antigen Tests -- CONCLUDING REMARKS -- LIST OF ABBREVIATIONS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Subject Index. |
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Sommario/riassunto |
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Provides clinicians and scholars all the information on this disease in 2 volumes. Readers will find a concise and visual reference for this viral disease and will be equipped with the knowledge to assess and manage Sar-Cov-2 infection cases in clinical settings. This book is divided into two parts (I and II). Part I provides comprehensive information about 1 History of Coronaviruses, 2 Epidemiology of COVID-19, 3 Clinical presentation of this viral disease and 4 COVID-19 diagnosis. Part II covers broader topics about this communicable disease including 1 the prevention and treatment methodology, 2 mortality and long-term complications, 3 COVID-19 vaccines and future perspectives. Key Features: Covers all the aspects of COVID-19 making this a perfect textbook for virology and medical students. Chapter wise description and segregation of topics from pathophysiology to diagnosis and management of COVID-19. Six chapters in the first part which focus on clinical basics of COVID-19. Six chapters in the second part which cover broader topics for practical infection control. Multiple tables and figures which summarize and highlight important points. Presents a summary of the current standards for the evaluation and diagnosis of COVID-19. Features a detailed list of references, abbreviations, and symbols. This book is an essential textbook reference for medical students, scientists (virologists, pulmonologists) and public health officials who are required to understand COVID19 diagnosis and management as part of their clinical training or professional work. |
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2. |
Record Nr. |
UNINA9910754096403321 |
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Autore |
Dao Nhu-Ngoc |
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Titolo |
Intelligence of Things : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 |
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Pubbl/distr/stampa |
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Cham : , : Springer, , 2023 |
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©2023 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (452 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies Series ; ; v.187 |
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Altri autori (Persone) |
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ThinhTran Ngoc |
NguyenNgoc Thanh |
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Soggetti |
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Artificial intelligence |
Internet of things |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Contents -- State-of-the-Art and Theoretical Analyses -- FPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 1.3 Outline -- 2 Preliminary -- 2.1 IoT Layers and Threats -- 2.2 IoT Security vs. Traditional Security -- 3 FPGA-Based Security for Edge Devices -- 4 AI-Based Security for Edge Devices -- 4.1 Processor-Based AI Approaches -- 4.2 FPGA-Based AI Approaches -- 5 FPGA/AI-Powered Security for Edge Devices: Open Issues -- 6 Conclusion -- References -- A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images -- 1 Introduction -- 2 Deep Learning-Based Thyroid Cancer Detection Using Ultrasound Image -- 2.1 Convolutional Neural Networks - CascadeMaskR-CNN -- 2.2 VGG16, VGG19, and Inception v3 -- 2.3 ThyNet -- 2.4 Generative Adversarial Networks (GANs) -- 3 Discussion -- 4 Conclusion -- References -- Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filtering -- 1 Introduction -- 2 Related Work -- 3 Bio-Inspired Clustering Model for User-Based Collaborative Filtering (BICCF) -- 4 Experiments and |
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Results -- 4.1 Setting -- 4.2 Evaluation -- 5 Conclusions -- References -- Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems -- 1 Introduction -- 2 DRL-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Framework -- 2.1 System Model and Problem Formulation -- 2.2 Proposed Deep Reinforcement Learning Framework -- 3 Evaluation -- 4 Conclusion -- References -- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process -- 1 Introduction -- 2 Research Problem -- 3 Mathematical Model -- 3.1 Problem Statement -- 3.2 Constraints -- 3.3 Mathematical Model -- 4 Methodology -- 5 Testing and Evaluation. |
6 Conclusion -- References -- Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learning -- 1 Introduction -- 2 Conflict-Averse Methods for MOL -- 2.1 Multi-objective Learning Problems -- 2.2 Conflicting Gradients -- 2.3 Convergence and Learning Rate Issues -- 2.4 AdaCAGrad: Adaptive Conflict-Averse Multi-gradient Descent -- 3 Experiments -- 3.1 Toy Optimization Example -- 3.2 Image Classification -- 4 Conclusion -- References -- Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimization -- 1 Introduction -- 2 Multicriteria Portfolio Selection Problem -- 3 Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals -- 3.1 Intuitionistic Fuzzy Goals -- 3.2 Transformation to Deterministic Model -- 4 Computational Experiment -- 5 Conclusion -- References -- Research and Develop Solutions to Traffic Data Collection Based on Voice Techniques -- 1 Introduction -- 2 Related Work -- 3 Definition of Problem and End-to-End ASR System -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Language Modeling -- 3.4 Training End-to-End ASR -- 3.5 Decoding and Transcription -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Result -- 4.3 Analysis and Discussion -- 5 Conclusion -- References -- Using Machine Learning Algorithms to Diagnosis Melasma from Face Images -- 1 Introduction -- 2 Diagnostic Data for Melasma -- 3 Machine Learning Algorithm -- 3.1 About YOLO V8 -- 3.2 Anchor-Free Detection -- 3.3 Model for Diagnosing Melasma -- 3.4 Results of Model Evaluation -- 4 Conclusions -- References -- Reinforcement Learning for Portfolio Selection in the Vietnamese Market -- 1 Introduction -- 2 Overview -- 2.1 State-of-the-Art Reinforcement Learning -- 2.2 Related Work -- 3 Method -- 3.1 Modeling the Stock Trading Problem -- 3.2 Environment for Vietnamese Market -- 3.3 Noise Filter. |
4 Experimental Evaluation -- 4.1 Data Pre-processing -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 5 Conclusion -- References -- AIoT Technologies -- A Systematic CL-MLP Approach for Online Forecasting of Multiple Key Performance Indicators -- 1 Introduction -- 2 Preliminaries -- 3 Related Works -- 3.1 Time Series Forecasting Models -- 3.2 Online Learning -- 4 CL-MLP -- 4.1 Our Workflow -- 4.2 Model Construction -- 4.3 Online Learning -- 5 Experiment Results -- 5.1 Dataset -- 5.2 Our Results -- 6 Conclusion -- References -- Neutrosophic Fuzzy Data Science and Addressing Research Gaps in Geographic Data and Information Systems -- 1 Introduction -- 2 Neutrosophic Fuzzy Data Sciences -- 3 Neutrosophic Fuzzy GIS- Map -- 4 Neutrosophic Crisp Open in GIS Topology -- 5 Conclusion and Future Work -- References -- Inhibitory Control during Visual Perspective Taking Revealed by Multivariate Analysis of Event-Related Potentials -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Stimulus -- 2.3 Procedure -- 2.4 Analysis -- 3 Results -- 3.1 Go vs No/Go Condition in the Self and Other Conditions Combined -- 3.2 Go vs No/Go Condition in the Self and Other |
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Perspective Condition -- 4 Discussion -- References -- A Novel Custom Deep Learning Network Combining 1D-Convolution and LSTM for Rapid Wine Quality Detection in Small and Average-Scale Applications -- 1 Introduction -- 2 Material and Methodology -- 2.1 Data Description -- 2.2 Sampling Procedure -- 2.3 Computation Algorithm -- 3 Computation Algorithm -- 4 Validation Strategy -- 5 Result and Discussion -- 6 Conclusion -- References -- IoT-Enabled Wearable Smart Glass for Monitoring Intraoperative Anesthesia Patients -- 1 Introduction -- 1.1 Surgical Patient Monitoring System -- 1.2 Literature Review -- 2 Experimental Setup and Procedure -- 3 Results and Discussions -- 4 Conclusion -- References. |
Traffic Density Estimation at Intersections via Image-Based Object Reference Method -- 1 Introduction -- 2 Related Work -- 3 Problem Definition and Proposed Solutions -- 3.1 Problem Definition -- 3.2 Proposed Solutions -- 4 Experiment Setup and Result -- 4.1 Overall System Architecture -- 4.2 Automatic Access -- 4.3 Data Setup -- 4.4 Error Rate Calculation -- 4.5 Result and Evaluation -- 5 Conclusion and Future Work -- References -- Improving Automatic Speech Recognition via Joint Training with Speech Enhancement as Multi-task Learning -- 1 Introduction -- 2 Related Work -- 3 ASR-SE: A MTL Approach -- 4 Experiments and Results -- 5 Conclusion -- References -- Solving Feature Selection Problem by Quantum Optimization Algorithm -- 1 Introduction -- 2 Feature Selection Model -- 3 Solving Feature Selection Problems by CVaR-QAOA -- 3.1 Quantum Approximate Optimization Algorithm -- 3.2 CVaR Optimization for QAOA -- 3.3 Apply CVaR-QAOA to Feature Selection Problem -- 4 Numerical Simulation -- 5 Conclusion and Feature Work -- References -- A Methodology of Extraction DC Model for a 65 nm Floating-Gate Transistor -- 1 Introduction -- 2 Floating-Gate Transistor Concepts -- 2.1 Device Structure -- 2.2 DC Operation -- 3 Methodology in Model Extraction -- 4 Result -- 4.1 Drain Current Versus Control Gate Voltage at Initial Condition -- 4.2 Drain Current Versus Control Gate Voltage When VSB Varies -- 4.3 Drain Current Versus Control Gate Voltage When VD Varies -- 4.4 Drain Current Versus Drain Voltage When VCG Varies -- 5 Conclusion -- References -- imMeta: An Incremental Sub-graph Merging for Feature Extraction in Metagenomic Binning -- 1 Introduction -- 2 Methods -- 2.1 Fundamentals and Notations -- 2.2 Algorithms -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Performance Metrics -- 3.3 Results -- 3.4 Parameter Evaluation -- 4 Conclusion -- References. |
Virtual Sensor to Impute Missing Data Using Data Correlation and GAN-Based Model -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Virtual Sensor Components -- 4.1 Generator -- 4.2 Discriminator -- 4.3 Data Correlation Arrangement -- 4.4 Hint -- 4.5 Objective -- 5 Algorithm -- 6 Experiments -- 6.1 Performance of the Proposed Virtual Sensor -- 6.2 Virtual Sensor Prediction Accuracy -- 7 Conclusions and Future Work -- References -- An Edge AI-Based Vehicle Tracking Solution for Smart Parking Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 4.1 Training Phase -- 4.2 Evaluation -- 5 Conclusion -- References -- Low-Light Image Enhancement Using Quaternion CNN -- 1 Introduction -- 2 Background -- 2.1 Quaternion Algebra -- 2.2 Quaternion Convolutional Neural Network -- 2.3 CNN Approaches for Image Enhancements -- 3 Proposed Quaternion Attention Unet -- 3.1 Quaternion ResUnet -- 3.2 Quaternion Attention Module -- 3.3 The proposed Quaternion Attention Unet model -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Training of Quaternion CNN -- 4.3 Performance Evaluations -- 5 Conclusion and Future Work -- References -- |
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Leverage Deep Learning Methods for Vehicle Trajectory Prediction in Chaotic Traffic -- 1 Introduction -- 1.1 Vehicle Trajectory Prediction -- 1.2 The Challenges in Vietnamese Traffic -- 2 Related Work -- 3 Methods -- 3.1 Vehicle Detection -- 3.2 Vehicle Tracking -- 3.3 Vehicle Trajectory Prediction -- 4 Experiment -- 4.1 Experimental Setup and Implementation -- 4.2 Metrics -- 4.3 Experimental Result -- 5 Conclusion -- References -- AIoT System Architectures -- Wireless Sensor Network to Collect and Forecast Environment Parameters Using LSTM -- 1 Introduction -- 2 Related Work -- 3 Proposing System -- 3.1 System Overview -- 3.2 System Details -- 4 Simulation and Result -- 4.1 Product. |
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Sommario/riassunto |
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This book contains the proceedings from the Second International Conference on Intelligence of Things (ICIT 2023) held in Ho Chi Minh City, Vietnam. It explores the integration of artificial intelligence (AI) with the Internet of Things (IoT) to form the AIoT, a technology aimed at enhancing IoT operations through intelligent adaptations. The volume consists of selected papers presenting cutting-edge research and applications in AIoT, emphasizing the advancements in data engineering and technologies. The book is intended for scholars, researchers, and professionals interested in the latest developments in AIoT and data technologies. |
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3. |
Record Nr. |
UNIORUON00079498 |
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Autore |
STAMER, Josef P. |
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Titolo |
L'Islam en Afrique au sud du Sahara / P. Josef Stamer |
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Pubbl/distr/stampa |
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Estella ( (Navarra), : Editorial Verbo Divino, 1996 |
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ISBN |
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Edizione |
[2eme ed] |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Islam - Africa subsahariana |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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