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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing / / edited by Gwanggil Jeon
| Advanced Machine Learning and Deep Learning Approaches for Remote Sensing / / edited by Gwanggil Jeon |
| Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (362 pages) |
| Disciplina | 621.3678 |
| Soggetto topico |
Deep learning (Machine learning)
Machine learning Remote sensing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910734348503321 |
| [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Computational Intelligence, Informatics and Big Data : First International Conference, ACIIBD 2024, Guangzhou, China, July 26–28, 2024, Proceedings / / edited by Gwanggil Jeon, Xiangjie Kong
| Applied Computational Intelligence, Informatics and Big Data : First International Conference, ACIIBD 2024, Guangzhou, China, July 26–28, 2024, Proceedings / / edited by Gwanggil Jeon, Xiangjie Kong |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (X, 178 p. 69 illus., 54 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Data mining
Data Mining and Knowledge Discovery |
| ISBN | 3-031-91853-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Computing and Big Data Modeling -- A New Power System Prediction Model Based on Expert System -- Application of Big Data Technology in Time-Frequency Data Management and Diagnosis -- Improving Generalization for Missing Data Imputation Via Dual Corruption Denoising Autoencoders -- Remote Intelligent Inspection Method of Man-Machine Interactive Computer Room Based on Digital Twin Technology -- Analysis of College Students’ Achievement Based on Data Mining -- Bridge Structure Health Assessment Algorithm Based on Heterogeneous Sensor Data Fusion Simulation -- The Volatility Prediction and Option Pricing Model of Correction Bias -- Attention-based Link Prediction with Contextualized Self-Supervision -- Intelligent System Design and Information Processing -- Lightweight MES System Research and Practice –A Medium-sized Discrete Manufacturing Enterprise as An Example -- A Genetic Deep Reinforcement Learning Approach with Prioritized Experience Replay Strategy to Solve the Influence Maximization Problem on Networks -- Continual Knowledge Graph Embedding by Structural Feature Distillation -- TZRT-RPC: A Hybrid Multi-OS Real-Time Communication Scheme Based on TrustZone -- Product Feature and Emotional Polarity Identification Method Based on ABSA Technology -- Development of an Intelligent Inspection and Analysis System for Special Equipment Report Sampling -- Cultural Digital Assets in the Metaverse -- Statistical Research of Medieval Phonology in Dunhuang Dialect -- A Runtime Design of WebAssembly Container for Embedded Real-time Operating Systems -- GraphModo: An Easy-to-Use Visual Construction System of Deep Learning Model. |
| Record Nr. | UNINA-9911007356303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence-Based Learning Approaches for Remote Sensing
| Artificial Intelligence-Based Learning Approaches for Remote Sensing |
| Autore | Jeon Gwanggil |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
| ISBN | 3-0365-6084-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybersecurity Vigilance and Security Engineering of Internet of Everything / / edited by Kashif Naseer Qureshi, Thomas Newe, Gwanggil Jeon, Abdellah Chehri
| Cybersecurity Vigilance and Security Engineering of Internet of Everything / / edited by Kashif Naseer Qureshi, Thomas Newe, Gwanggil Jeon, Abdellah Chehri |
| Autore | Naseer Qureshi Kashif |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (229 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
NeweThomas
JeonGwanggil ChehriAbdellah |
| Collana | Internet of Things, Technology, Communications and Computing |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Internet of things Security systems Communications Engineering, Networks Cyber-Physical Systems Internet of Things Security Science and Technology |
| ISBN | 3-031-45162-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part A: Security Threats and Vulnerabilities -- Internet of Everything: Evolution and fundamental concepts -- Cybersecurity Threats and Attacks in IoE Networks -- Attacks Detection Mechanism for IoE Networks -- Cyber Resilience, Principles, and Practices -- Future Cybersecurity Challenges for IoE Networks -- Part B: Security Vigilance and Security Engineering for IoE Networks -- Networking and Security Architectures for IoE Networks -- Machine Learning-Based Detection and Prevention Systems for IoE -- Role of Blockchain Models for IoE Infrastructures and Applications -- Cybersecurity as a Service -- Big data Analytics for Cybersecurity in IoE Networks -- Cybersecurity Standards and Policies for CPS in IoE -- Future Privacy, and Trust Challenges for IoE Networks -- Conclusion. |
| Record Nr. | UNINA-9910767586503321 |
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Naseer Qureshi Kashif
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data analytics for internet of things infrastructure / / Rohit Sharma, Gwanggil Jeon, Yan Zhang, editors
| Data analytics for internet of things infrastructure / / Rohit Sharma, Gwanggil Jeon, Yan Zhang, editors |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xv, 326 pages) : illustrations |
| Disciplina | 004.678 |
| Altri autori (Persone) |
SharmaRohit (Rohit Y.)
JeonGwanggil ZhangYan |
| Collana | Internet of Things Series |
| ISBN | 3-031-33808-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Key Features -- Contents -- About the Editors -- Big Data in Cloud Today: A Comprehensive Survey -- 1 Introduction -- 2 Characteristics of Big Data -- 3 Classification of Big Data -- 4 Importance of Big Data -- 5 Examples for Big Data -- 6 Tools and Techniques -- 7 Big Data Analytics and Its Benefits -- 8 Cloud Computing -- 9 Working of Cloud Computing -- 10 Conclusion -- References -- Cloud of Things Platform for a Water Meter Network -- 1 Introduction -- 2 Related Work and Problem Motivation -- 2.1 Related Work -- 2.2 IoT Paradigm -- 2.3 Problem Motivation -- 3 Proposed IoT Architecture -- 3.1 System Model -- 3.2 Methodology -- 3.3 Development of Active Switch -- 3.4 Development of an Active Sensor -- 3.5 Integration -- 4 Simulation and Result -- 4.1 Setup Process -- 4.2 Analysis -- 5 Conclusion -- References -- Online Newspaper Development within the Internet of Things Environment: The Role of Computer-Mediated Communication -- 1 Computer-Mediated Communication -- 2 Scholarly Information Related to CMC -- 3 CMC and Development of Online Newspapers -- 3.1 Advantages of Online Newspapers -- 3.2 Delivery of Online News and Information -- 3.3 CMC Journalism Is a Better Option -- 4 Interactivity with News Through CMC and Issues Within IoT Environment -- 4.1 CMC as a Tool for Organizations and Governments to Spread Information and News -- 4.2 The Use of Social Media and Its Social Outcomes Concerning CMC -- 4.3 Emerging Issues Related to the Use of CMC -- 4.4 Reconfiguration of Territorially and Interest-Based Associations -- 4.5 Introduction of New Artifacts and Their Social Outcomes -- 4.6 The Mutual Shaping of Consumers and Technologies -- 5 Conclusion -- References -- FATS (Fuzzy Authentication to Provide Trust-Based Security) in VANET to Mitigate Black Hole Attack -- 1 Introduction -- 2 VANET Architecture.
3 Attacks and Threats Generated in VANET -- 3.1 Selfish Node Attack -- 3.2 Jellyfish Attack -- 3.3 Data Flooding Attack -- 3.4 Black Hole Attack -- 4 Prominent Issues Caused by a Black Hole Node -- 5 Fuzzy Logic and Its Role in the Proposed Approach -- 5.1 Introduction About Fuzzy Logic -- 5.2 Mamdani Fuzzy Inference System -- 5.2.1 Max-Min Inference Method -- 5.2.2 Max-product inference method -- 6 Fuzzy Logic Trust-Based Authentication Schemes in VANET -- 7 Proposed Algorithm FATS (Fuzzy Authentication to Provide Trust-Based Security) for Black Hole Attack Detection -- 7.1 Pseudocode for Providing a Communication Link to the New Node -- 7.2 Formation of Fuzzy Rules Using Mamdani Inference System in MATLAB -- 8 Implementation of FATS -- 9 Conclusion -- References -- AI-Based Chatbot Agents as Drivers of Purchase Intentions: An Interdisciplinary Study -- 1 Introduction -- 2 Conceptual Background and Development of Hypothesis -- 3 Informational Support of Chatbots and Predicting Purchase Intentions -- 4 Trust, Emotional Credibility, and Predicting Purchase Intentions -- 5 Research Gap -- 6 Objectives -- 7 Methods -- 7.1 Sampling Framework and Questionnaire Design -- 7.2 Measures -- 8 Research Tools and Techniques -- 9 Measurement Model -- 10 Analysis of Structural Model -- 11 Conclusion and Future Research Works -- 12 Limitations -- References -- An Intelligent Model for Identifying Fluctuations in the Stock Market and Predicting Investment Policies with Guaranteed Returns -- 1 Introduction -- 2 Literature Survey -- 3 Impact of Big Data in Stock Market -- 3.1 Big Data -- 3.1.1 Big Data Architecture -- 3.2 Structure of Big Data -- 3.2.1 Structured Data -- 3.2.2 Unstructured Data -- 3.2.3 Semistructured Data -- 3.3 Big Data in the Stock Market -- 3.4 Nature of Dynamic Data in the Stock Market -- 4 Proposed Model (Fig. 2) -- 4.1 Objectives. 4.2 Mathematical Implementation -- 4.2.1 Statistical Analysis -- 4.2.2 Fuzzy Inferences -- 5 Implementation -- 5.1 Data Preparation -- 5.2 Data Cleaning and Data Preprocessing -- 5.2.1 Data Normalisation -- 5.3 Fuzzy Inference -- 5.3.1 Axis Bank -- 5.3.2 Tata Steel -- 5.3.3 Titan -- 5.3.4 Threshold Value -- 5.3.5 Parameters -- 5.3.6 Fuzzy Rules -- 6 Results and Discussion -- 6.1 Performance Analysis -- 7 Conclusion -- References -- Sandwiched Metasurface Antenna for Small Spacecrafts in IoT Infrastructure -- 1 Introduction -- 2 Antenna Design and Geometrical Analysis -- 3 Results, Data Analysis, and Discussions -- 4 Conclusions and Future Works -- References -- Development of Laser-Beam Cutting-Edge Technology and IOT-Based Race Car Lapse Time Computational System -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Block Diagram -- 3.2 Simulation of Proposed System -- 4 Results and Discussion -- 5 Conclusion -- References -- A Study of Cloud-Based Solution for Data Analytics -- 1 Introduction -- 2 Methodology -- 2.1 Amazon Web Services (AWS) Cloud Platform for Data Analytics -- 2.1.1 Architecture Study of a Data Analytics System Using AWS -- 2.1.2 Data Ingestion and Processing -- 2.1.3 Data Preparation -- 2.1.4 AI/ML Workbench -- 2.2 Google Cloud Platform (GCP) for Data Analytics -- 2.2.1 Architecture Study of a Data Analytics System Using GCP -- 2.2.2 Data Ingestion and Processing -- 2.2.3 Data Preparation -- 3 Comparative Analysis of Services Required from AWS and GCP -- 4 Challenges -- 5 Conclusion -- References -- An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning -- 1 Introduction -- 2 Similar Works Done -- 3 Fundamentals of Big Data -- 3.1 Properties of Big Data -- 3.2 Big Data in Entertainment Industry -- 3.2.1 Uses of Big Data in Media and Entertainment. 4 Proposed Model -- 4.1 Mathematical Background -- 4.2 Ant Colony Optimization (ACO) -- 4.2.1 Theoretical Considerations on ACO -- 4.3 Data Preparation -- 5 Results and Discussion -- 5.1 Performance Analysis -- 5.1.1 Evaluation Metrics -- 6 Conclusion -- References -- Techniques to Identify Image Objects Under Adverse Environmental Conditions: A Systematic Literature Review -- 1 Introduction -- 1.1 Morphological Operations on Image -- 1.2 Impact of the Environment on Objects -- 2 Methodology and Research Description -- 3 Findings and Results -- 4 Conclusion -- References -- Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic -- 1 Introduction -- 2 Current Perspectives on Technology-Enhanced Language Teaching and Learning -- 3 Computer-Mediated Communication and Interaction Approach -- 4 Research on Remote Teaching in Crisis Situations -- 5 Technology Acceptance Model -- 6 Responsive Online Teaching in Crises -- 7 Bloom's Digital Taxonomy -- 8 Recommendations -- 9 Conclusion -- References -- The Symbiotic Relation of IoT and AI for Applications in Various Domains: Trends and Future Directions -- 1 Introduction -- 2 Recent Works on IoT and AI in Various Domains -- 2.1 Healthcare -- 2.2 Sustainability -- 2.3 Information Security -- 2.4 Education -- 2.5 Pollution Monitoring (Table 5) -- 2.6 Robotics (Table 6) -- 2.7 Other Related Works -- 3 Conclusion and Future Directions -- References -- Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches -- 1 Introduction -- 2 Related Works -- 2.1 Text Summarization Using Deep Learning -- 2.2 Need for Text Summarization in Big Data Analytics -- 3 BERT -- 3.1 BERT Architecture -- 3.2 Phases in Generating the Summary -- 3.2.1 Input Document -- 3.2.2 Interval Segment Embedding -- 3.2.3 Embedding -- 3.2.4 Segment Embeddings -- 3.2.5 Position Embeddings. 3.2.6 Summarization -- 3.2.7 Inter Sentence Transformer -- 4 GPT-2 -- 5 Experiment Setup -- 5.1 About the Dataset -- 5.2 Training the Models -- 5.3 Evaluation Metrics -- 5.4 Summary Snippets -- 6 Comparison of Results -- 7 Conclusion -- References -- Leveraging Secured E-Voting Using Decentralized Blockchain Technology -- 1 Introduction -- 2 Blockchain -- 2.1 What Is Blockchain? -- 2.2 Working of a Blockchain -- 2.2.1 Elliptic Curve Digital Signature Technique (ECDSA) -- 2.3 Features of Blockchain Technology -- 2.3.1 Immutability -- 2.3.2 Auditability -- 2.3.3 Persistency -- 2.3.4 Decentralization -- 2.3.5 Anonymity -- 3 Types, Consensus Protocols, and Unfilled Gaps -- 3.1 Types of Blockchain -- 3.1.1 Public Blockchain -- 3.1.2 Private Blockchain -- 3.1.3 Consortium Blockchain -- 3.1.4 Hybrid Blockchain -- 3.2 Consensus Protocols -- 3.2.1 Proof of Work -- 3.2.2 Proof of Burn -- 3.2.3 Proof of Stake -- 3.2.4 Delegated Proof of Stake -- 3.2.5 Proof of Elapsed Time -- 3.2.6 Proof of Participation -- 3.2.7 Proof of Authority -- 3.2.8 Proof of Importance -- 3.2.9 Proof of Capacity -- 3.2.10 Proof of History -- 3.3 Challenges Faced by Existing Systems -- 3.3.1 Paper and Ballot Systems -- 3.3.2 Digital E-Voting Systems -- 4 Recent Advances -- 5 Conclusion -- References -- Multilayer Security and Privacy Provision in Internet of Things Networks: Challenges and Future Trends -- 1 The Internet of Things -- 2 Architecture and Technologies of IoT -- 3 Security Requirements in Distributed IoT Applications -- 4 Existing Challenges and Issues in IoT -- 4.1 Security Issues in the Network Layer -- 4.2 Security Issues at Physical Layer -- 5 Countermeasures for Security in IoT -- 5.1 Attacks on and Threats to IoT -- 5.2 Defenses Against IoT Attacks on Each Layer -- 6 Privacy Issues in IoT -- 6.1 Existing Security Models for IoT Networks -- 7 The Future of IoT -- 7.1 Top-Ten IoT Developments. |
| Record Nr. | UNISA-996550554203316 |
| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data Analytics for Internet of Things Infrastructure / / edited by Rohit Sharma, Gwanggil Jeon, Yan Zhang
| Data Analytics for Internet of Things Infrastructure / / edited by Rohit Sharma, Gwanggil Jeon, Yan Zhang |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xv, 326 pages) : illustrations |
| Disciplina | 004.678 |
| Altri autori (Persone) |
SharmaRohit (Rohit Y.)
JeonGwanggil ZhangYan |
| Collana | Internet of Things, Technology, Communications and Computing |
| Soggetto topico |
Cooperating objects (Computer systems)
Telecommunication Application software Cyber-Physical Systems Communications Engineering, Networks Computer and Information Systems Applications |
| ISBN |
9783031338083
3031338081 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Big Data in Cloud Today – A Comprehensive Survey -- Chapter 2. Cloud of things platform for water meter network -- Chapter 3. Online newspaper development within the Internet of Things environmental: A Role of Computer-mediated communication -- Chapter 4. FATS-Fuzzy Authentication to provide Trust based Security in VANET to Mitigate Black Hole Attack -- Chapter 5. AI-Based Chatbot Agents as Drivers of Purchase Intentions- An Interdisciplinary Study -- Chapter 6. An Intelligent Model for Identifying the Fluctuation of the Stock Market and Predict the Investment Policies with Assured Return -- Chapter 7. Sandwiched Metasurface Antenna for Small Spacecrafts in IoT Infrastructure -- Chapter 8. Development of Laser Beam Cutting Edge Technology and IoT Based Race Car Lapse Time Computational System -- Chapter 9. A Study of Cloud Based Solution for Data Analytics -- Chapter 10. An Intelligent Model for Optimizing Sparsity Problem towards Movie Recommendation Paradigm using Machine Learning -- Chapter 11. Techniques to identify image objects in adverse environmental conditions – A Systematic Literature Review -- Chapter 12. Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic using IoT Infrastructure -- Chapter 13. The symbiotic relation of IOT and AI for the applications in various domains: Trends and future directions -- Chapter 14. Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches -- Chapter 15. Leveraging Secured E-Voting using Decentralized Blockchain Technology -- Chapter 16. Multi-Layer Security and Privacy Provision in Internet of Things Networks: Challeneges and Future Trend -- Chapter 17. A methodology for the development of soft sensors with Kafka-ML. |
| Record Nr. | UNINA-9910746286103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics for Smart Grids Applications—A Key to Smart City Development / / edited by Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar
| Data Analytics for Smart Grids Applications—A Key to Smart City Development / / edited by Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar |
| Autore | Kumar Sharma Devendra |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (466 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
SharmaRohit
JeonGwanggil KumarRaghvendra |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Big data Data Engineering Computational Intelligence Big Data |
| ISBN |
9783031460920
3031460928 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Analytics For Smart Grids And Applications - Present And Future Directions -- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning -- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions -- Smart Grid Management for Smart City Infrastructure using Wearable Sensors -- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application -- Prediction and Classification For Smart Grid Applications -- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions. |
| Record Nr. | UNINA-9910767529203321 |
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Kumar Sharma Devendra
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics for Smart Robotics and Its Applications / / edited by Rohit Sharma, Gwanggil Jeon
| Data Analytics for Smart Robotics and Its Applications / / edited by Rohit Sharma, Gwanggil Jeon |
| Autore | Sharma Rohit |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (419 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) | JeonGwanggil |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Engineering - Data processing
Automatic control Robotics Automation Computational intelligence Big data Data Engineering Control, Robotics, Automation Computational Intelligence Big Data |
| ISBN | 3-031-87697-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Scalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System -- Face Mask Detection using Multimedia Data and Deep Learning Techniques -- Digital Twin Robots for Securing IoT Based Healthcare 4.0 Application: Key Technologies, Integration Trends and Recent Advancement -- Evolution of FinFET SRAM Cells for Smart Robotics: A Comprehensive Review -- Robot Path Planning Using Triangular Inequality -- Smart Factory Architecture, Infrastructure and Design of Manufacturing Systems using Robotics. |
| Record Nr. | UNINA-9911015639303321 |
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Sharma Rohit
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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