Kooperativer Bibliotheksverbund

UID:

Umfang: 1 online resource (637 pages)

Ausgabe: 1st ed. 2024.

ISBN: 9783031485732 , 3031485734

Serie: Lecture Notes in Networks and Systems, 838

Inhalt: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

Anmerkung: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.

Weitere Ausg.: Print version: Farhaoui, Yousef Artificial Intelligence, Data Science and Applications Cham : Springer International Publishing AG,c2024 ISBN 9783031485725

Sprache: Englisch

DOI: 10.1007/978-3-031-48573-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: XXI, 616 p. 261 illus., 219 illus. in color. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783031485732

Serie: Lecture Notes in Networks and Systems, 838

Inhalt: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

Anmerkung: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783031485725

Weitere Ausg.: Printed edition: ISBN 9783031485749

Sprache: Englisch

DOI: 10.1007/978-3-031-48573-2

URL: https://doi.org/10.1007/978-3-031-48573-2

UID:

Umfang: 1 online resource (637 pages)

Ausgabe: 1st ed.

ISBN: 3-031-48573-4

Serie: Lecture Notes in Networks and Systems Series ; v.838

Anmerkung: Intro -- Preface -- Organisation -- Introduction -- Contents -- Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- 1 Introduction -- 2 Related Works -- 3 Methodology and Results -- 3.1 Data -- 3.2 Text Representation -- 4 Experiments and Results -- 5 Conclusion and Future Works -- References -- Performance Analysis of Two Serial Concatenations of Decoders Over a Rayleigh Channel -- 1 Introduction -- 2 Rayleigh Fading -- 3 Used Decoding Algorithms and Serial Concatenation -- 3.1 Hartmann Rudolph Decoder -- 3.2 Hard Decision Decoder Based on Hash and Syndrome Decoding (HSDec) Decoder -- 3.3 Syndrome Decoding and Hash Techniques (SDHT) Decoder -- 3.4 Serial Concatenation -- 4 Simulation Results -- 5 Conclusion -- References -- Blockchain and Reputation Based Secure Service Provision in Edge-Cloud Environments -- 1 Introduction -- 2 The Proposed System Architecture -- 2.1 Main Components -- 2.2 Service Model -- 3 The Blockchain Integration -- 3.1 Blockchain Components -- 3.2 Consensus Process -- 3.3 Blockchain Management -- 4 Conclusions and Perspectives -- References -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Convolutional Neural Networks -- 2.3 Long Short-Term Memory -- 2.4 Convolutional Long Short-Term Memory (ConvLSTM) -- 2.5 Long-Term Recurrent Convolutional Networks (LRCN) -- 3 Results and Discussion -- 4 Conclusion -- References -- Classification Algorithms Implementation for Fire Prevention Data on Multiple Wireless Node Sensors -- 1 Introduction -- 2 Theory of Probability -- 3 Likelihood Algorithm -- 4 Bayesian Inference -- 5 CUSUM Algorithm -- 6 Result of Experiment -- 7 Conclusion -- References -- Implementation of an Intelligent Monitoring System Based on Quality 4.0 of the Induction Hardening Process. , 1 Introduction -- 2 Literature Review -- 2.1 Industry 4.0 -- 2.2 Quality 4.0 -- 3 Case Study -- 3.1 Induction Hardening Machine -- 3.2 Smart Supervision System -- 4 Analysis and Discussion -- 5 Conclusion -- References -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- 1 Introduction -- 2 The SOC Estimation Methods -- 2.1 The Ampere Hour Counting Method -- 2.2 Least Squares Support Vector Machine (LSSVM) Method -- 3 Simulation and Results Discussion -- 4 Conclusion -- References -- Intrusion Detection in Software-Defined Networking Using Machine Learning Models -- 1 Introduction -- 2 Challenges of SDN Security -- 2.1 Distributed Denial of Services -- 2.2 Intrusion Detection System -- 3 Methodology -- 3.1 Performance Evaluation -- 3.2 Dataset -- 4 Result and Discussion -- 5 Conclusion -- References -- Neural Network for Link Prediction in Social Network -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Dataset Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Design and Optimization of a Compact Microstrip Bandpass Filter Using on Open Loop Rectangular Resonators for Wireless Communication Systems -- 1 Introduction -- 2 Design of the Proposed Bandpass Filter -- 3 Simulation Results and Discussion -- 4 Conclusion -- References -- YOLO-Based Approach for Intelligent Apple Crop Health Assessment -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Evaluation of Apple Health Using YOLOv5s, YOLOv5m, and YOLOv7 -- 2.2 Models Optimization -- 3 Results and Discussion -- 3.1 Setup Environment -- 3.2 Apple Disease Detection Image Dataset -- 3.3 Data Preprocessing -- 3.4 Performance Results -- 4 Conclusion -- References -- A Comprehensive Review on the Integration of Blockchain Technology with IPFS in IoT Ecosystem -- 1 Introduction -- 2 IoT-Blockchain Architecture. , 3 Reviewed Works -- 4 Challenges and Future Research Directions -- 5 Conclusion -- References -- An Integrated Approach for Artifact Elimination in EEG Signals: Combining Variational Mode Decomposition with Blind Source Separation (VMD-BSS) -- 1 Introduction -- 2 Material and Methods -- 2.1 Datasets -- 2.2 The Variational Mode Decomposition -- 2.3 The Blind Source Separation -- 2.4 The Proposed Method -- 3 Results -- 4 Conclusion and Discussion -- References -- E-Health Blockchain: Conception of a New Smart Healthcare Architecture Based on Deep Reinforcement Learning -- 1 Introduction and Notations -- 1.1 Introduction -- 1.2 Notations -- 2 Related Works -- 3 Our Contribution -- 4 Conclusion -- References -- Dynamic Multi-compartment Vehicle Routing Problem: Formulation and Algorithm -- 1 Introduction -- 2 Problem Formulation -- 3 The Dynamic Adaptation to MCVRP Problem -- 4 Hybrid Adaptive Variable Neighborhood Search for DMCVRP -- 5 Computational Experiments -- 6 Conclusion -- References -- Anime Link Prediction Using Improved Graph Convolutional Networks -- 1 Introduction -- 2 Background -- 2.1 Graph Neural Network -- 2.2 Graph Construction -- 2.3 Types of Graph Neural Network (GNN) -- 3 Proposed Work -- 3.1 ImprovedGCN -- 3.2 Proposed Architecture -- 4 Experiments -- 4.1 Dataset for Evaluation -- 4.2 Environment -- 4.3 Experiment Results -- 5 Conclusion -- References -- Assessing the Evolution of Meteorological Seasons and Climate Changes Using Hierarchical Clustering -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Preprocessing -- 2.2 Background and Methodology -- 3 Findings and Discussion -- 4 Conclusion -- References -- Significance and Impact of AI on Pedagogical Learning: A Case Study of Moroccan Students at the Faculty of Legal and Economics -- 1 Introduction -- 2 Methodology -- 2.1 Sample and Data Collection Procedure. , 2.2 Students' Personal Information/Demographic Data -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Securing Big Data: Current Challenges and Emerging Security Techniques -- 1 Introduction -- 2 Big Data and Its Characteristics -- 3 Big Data Security Challenges -- 4 Big Data Security Solutions -- 4.1 Classic Security Methods -- 4.2 Artificial Intelligence Security Techniques -- 4.3 Blockchain Security -- 5 Examples of Potential Attacks on BD Systems and Some Solutions -- 5.1 Examples of Potential Attacks -- 5.2 Solutions for Potential Attacks -- 6 Conclusion -- References -- Machine Learning for Early Fire Detection in the Oasis Environment -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Tool Description -- 3.3 Selected ML Algorithms -- 4 Results and Discussion -- 5 Conclusion -- References -- Voice-Based Detection of Parkinson's Disease Using Empirical Mode Decomposition, IMFCC, MFCC, and Deep Learning -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Study Between Fractional Linear Quadratic Regulator (Frac-LQR) and Sliding Mode Controller for the Stabilization the Three-Axis Attitude Control System of LEO Satellite Using Reaction Wheels -- 1 Introduction -- 2 The Dynamic Model of the Satellite Using Reaction Wheels -- 3 Controllability and Observability -- 4 Fractional Linear Quadratic Regulator (Frac-LQR) -- 5 Sliding Mode Controller (SMC) -- 6 Simulations and Results -- 7 Conclusion -- References -- UV-Nets: Semantic Deep Learning Architectures for Brain Tumor Segmentation -- 1 Introduction -- 2 Related Work -- 3 Materiel and Methods -- 3.1 Data -- 3.2 Data Preparation and Preprocessing -- 3.3 Methods -- 3.4 U-Net -- 3.5 V-Net -- 4 Results -- 4.1 Implementation Details -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion. , 5 Conclusion -- References -- A Smart Mathematical Approach to Resource Management in Cloud Based on Multi-objective Optimization and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Our Contribution -- 3.1 Detailed Description of Our Contribution -- 4 Conclusion -- References -- Machine Learning in Cybersecurity: Evaluating Text Encoding Techniques for Optimized SMS Spam Detection -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Text Encoding Techniques -- 3 Results and Analysis -- 4 Conclusion -- References -- Design of a GaAs-FET Based Low Noise Amplifier for Sub-6 GHz 5G Applications -- 1 Introduction -- 1.1 Fifth Generation Wireless Communication -- 1.2 LNA -- 2 Theoretical Background -- 2.1 Transistor -- 2.2 Stability -- 2.3 Gain of Amplifier -- 2.4 Noise Figure -- 3 Design of Proposed LNA -- 4 Results and Discussion -- 5 Conclusion -- References -- Pyramid Scene Parsing Network for Driver Distraction Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pyramid Scene Parsing Network (PSPNet) -- 3.2 Proposed Method -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusion -- References -- A Survey on RFID Mutual Authentication Protocols Based ECC for Resource-Constrained in IoT Environment -- 1 Introduction -- 2 Review of ECC-Authentication Protocols for RFID Systems -- 3 Comparative Analysis -- 4 Conclusion -- References -- Advanced Prediction of Solar Radiation Using Machine Learning and Principal Component Analysis -- 1 Introduction -- 2 Related Works -- 3 Our Proposed Approach -- 4 Experimental Study -- 4.1 Environment -- 4.2 Discussion of Results -- 5 Conclusion -- References -- Blockchain and Machine Learning Applications in Overcoming Security Challenges for CPS and IoT Systems -- 1 Introduction -- 2 Background. , 2.1 CPS Security.

Weitere Ausg.: Print version: Farhaoui, Yousef Artificial Intelligence, Data Science and Applications Cham : Springer International Publishing AG,c2024 ISBN 9783031485725

Sprache: Englisch