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Biblioteca

MARC Lista (tabellare)
Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
Autore Gupta Maanak <1989->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (182 pages)
Disciplina 004.678
Soggetto topico Cooperating objects (Computer systems)
Internet of things
Computer architecture
Internet de les coses
Arquitectura d'ordinadors
Soggetto genere / forma Llibres electrònics
ISBN 3-030-81089-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910544849803321
Gupta Maanak <1989->  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
Autore Gupta Maanak <1989->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (182 pages)
Disciplina 004.678
Soggetto topico Cooperating objects (Computer systems)
Internet of things
Computer architecture
Internet de les coses
Arquitectura d'ordinadors
Soggetto genere / forma Llibres electrònics
ISBN 3-030-81089-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464544703316
Gupta Maanak <1989->  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advancements in Interdisciplinary Research : First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers / / edited by Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma
Advancements in Interdisciplinary Research : First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers / / edited by Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (562 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Image processing - Digital techniques
Computer vision
Computer engineering
Computer networks
Social sciences - Data processing
Application software
Software engineering
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
Software Engineering
Intel·ligència artificial
Seguretat informàtica
Internet de les coses
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031237249
3031237242
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Novel Technologies enabled Secured Privacy Models and Optimized Networking Infrastructures toward Secure Industries -- Developments towards Sustainable Healthcare Sector -- Machine Learning and Deep Learning Enabled Applications in Different Sectors -- Robotics and Computer Vision for Intelligent Automation in Industries -- Trending Technologies: Frameworks and Applications focusing Real Life Issues.
Record Nr. UNINA-9910645893403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agricultural Internet of things : technologies and applications / / editors, Yong He [and three others]
Agricultural Internet of things : technologies and applications / / editors, Yong He [and three others]
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XI, 439 p. 184 illus., 133 illus. in color.)
Disciplina 635
Collana Agriculture automation and control
Soggetto topico Agriculture - Automation
Agricultura de precisió
Internet de les coses
Soggetto genere / forma Llibres electrònics
ISBN 3-030-65702-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.Introduction of Agricultural IoT -- 2.Agricultural IoT Standardization and System Applications -- 3.Data Communication and Networking Technologies -- 4.Soil Information Sensing Technology -- 5.Crop Information Sensing Technology -- 6.Field Condition Sensing Technology -- 7.Livestock and Aquaculture Information Sensing Technology -- 8.Agricultural Information Processing Technology -- 9.Agricultural Decision-Making Methods and Systems -- 10.IoT Management of Field Crops and Orchards -- 11.Plant Factory IoT Management -- 12.Livestock and Aquaculture IoT Systems -- 13.Agricultural Products Traceability System Applications -- 14.Integrated IoT Applications Platform Based on Cloud Technology and Big Data.
Record Nr. UNINA-9910495204903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial intelligence and IoT : smart convergence for eco-friendly topography / / editors, Kalaiselvi Geetha Manoharan, Jawaharlal Arun Nehru, Sivaraman Balasubramanian
Artificial intelligence and IoT : smart convergence for eco-friendly topography / / editors, Kalaiselvi Geetha Manoharan, Jawaharlal Arun Nehru, Sivaraman Balasubramanian
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (274 pages)
Disciplina 004.678
Collana Studies in Big Data
Soggetto topico Internet of things
Artificial intelligence
Internet de les coses
Intel·ligència artificial
Soggetto genere / forma Llibres electrònics
ISBN 981-336-400-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Smart IoT multimodal emotion recognition system using deep learning networks Artificial Intelligence and IoT framework for the health monitoring system Big Data Classification: Application and Challenges A survey on recent deep learning architectures Research Progress of MapReduce Big Data Processing Platform and Algorithm A CNN Based Traffic Sign Recognition System Deep learning algorithm and its applications to IoT and Computer Vision Exploiting Internet of Things (IOT) Services to Autism Children Emotion Recognition System
Record Nr. UNINA-9910484769403321
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence of Things : First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part I / / edited by Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma
Artificial Intelligence of Things : First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part I / / edited by Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (402 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Database management
Machine learning
Application software
Software engineering
Artificial Intelligence
Database Management System
Machine Learning
Computer and Information Systems Applications
Software Engineering
Intel·ligència artificial
Internet de les coses
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-48774-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- AI and IoT Enabling Technologies -- Securing IoT Using Supervised Machine Learning -- 1 Introduction -- 2 IoT and Machine Learning -- 2.1 Supervised Machine Learning -- 2.2 Unsupervised Machine Learning -- 2.3 Deep Learning -- 2.4 Reinforcement Learning -- 3 Methods -- 3.1 UNSW-NB15 Dataset -- 3.2 Experimental Setup -- 3.3 Performance Measures -- 4 Results and Inferences -- 4.1 Using Hyperparameter Tuned Models -- 4.2 Using Feature Selection on Parameter-Tuned Models -- 4.3 Using Class Weights on Parameter-Tuned Models -- 4.4 Using Class Weights with Important Features on Parameter-Tuned Models -- 5 Observations -- 6 Conclusion -- References -- DDoS Attack Detection in IoT Environment Using Crystal Optimized Deep Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 System Model -- 3.1 Performance Improvement by Feature Extraction -- 3.2 Traffic Analyzer Module Based DDoS Detection -- 3.3 Crystal Optimized Deep Neural Network -- 4 Experimental Results and Analysis -- 4.1 Dataset Description -- 4.2 Performance Metrics -- 4.3 Experimental Results -- 4.4 Throughput -- 4.5 Average Throughput -- 4.6 Energy Consumption -- 4.7 Memory Utilization -- 5 Conclusion -- References -- Prediction Based Load Balancing in Cloud Computing Using Conservative Q-Learning Algorithm -- 1 Introduction -- 1.1 Characteristics of Cloud Computing -- 1.2 Cloud Service Models -- 1.3 Load Balancing -- 1.4 Classification of Load Balancing Techniques -- 1.5 Load Balancing Metrics -- 1.6 Motivation -- 1.7 Problem Statement -- 1.8 Research Objectives -- 2 Literature Review -- 3 Methodology -- 4 Experiment Results -- 5 Conclusion -- References -- An Attribute Selection Using Propagation-Based Neural Networks with an Improved Cuckoo-Search Algorithm -- 1 Introduction -- 1.1 Corpus-Based Approach -- 1.2 Machine Learning Utilization and Swarm Intelligence Approach.
2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Payable Outsourced Decryption for Functional Encryption Using BlockChain -- 1 Introduction -- 1.1 Challenges and Contribution -- 1.2 Related Works -- 2 Preliminaries -- 2.1 Blockchain and Smart Contracts -- 2.2 Functional Encryption with Outsourced Decryption -- 3 Security and Framework Definitions -- 3.1 Overview -- 3.2 Adversarial Model -- 4 Description of Protocol -- 4.1 Generic Construction -- 4.2 Instantiation -- 4.3 Integrating Into a Blockchain -- 5 Performance Analysis and Evaluation -- 5.1 Performance Analysis -- 5.2 Experiment Results -- 6 Conclusion -- References -- Multi-environment Audio Dataset Using RPi-Based Sound Logger -- 1 Introduction -- 2 Review of Similar Public and Private Databases -- 3 Experimental System for Sound Recording -- 3.1 Hardware Description -- 3.2 Software Description -- 3.3 Data Collection Algorithm -- 4 Audio Specifications -- 5 Database Description -- 6 Application Test Cases -- 7 Conclusion -- References -- A Comparative Analysis of Android Malware Detection Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 Feature Selection -- 4 Proposed Framework -- 5 Experimental Setup -- 6 Result and Discussion -- 6.1 Analysis Using Static Features -- 6.2 Analysis Using Dynamic Features -- 6.3 Analysis Using a Combination of Static and Dynamic Features -- 7 Comparison Analysis -- 8 Conclusion -- References -- Optimization of Virtual Machines in Cloud Environment -- 1 Introduction -- 1.1 Load Rebalancing -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Proposed Queuing Model -- 3.2 Proposed Placement Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References.
A Construction of Secure and Efficient Authenticated Key Exchange Protocol for Deploying Internet of Drones in Smart City -- 1 Introduction -- 2 Related Works -- 3 Motivation and Contribution -- 4 Threat Model -- 5 Physical Unclonable Functions -- 6 Network Model -- 7 Proposed Secure and Efficient Authenticated Key Exchange Protocol for Deploying Internet of Drones in Smart City -- 7.1 Initialization -- 7.2 Drone Registration -- 7.3 Mobile User Registration -- 7.4 Authentication and Key Agreement Process -- 8 Security Analysis -- 8.1 Impersonation Attacks -- 8.2 Replay Attack -- 8.3 Physical Capture Attack on Drones -- 8.4 Disclosed Session Key Attack -- 8.5 Offline Password Guessing Attack -- 8.6 Man-in-the-middle Attack -- 8.7 Ephemeral Secret Leakage Attack -- 8.8 Anonymity -- 8.9 Mutual Authentication -- 9 Performance Analysis -- 9.1 Computation Time -- 9.2 Communication Cost -- 10 Conclusion -- References -- Comparative Analysis of Quantum Key Distribution Protocols: Security, Efficiency, and Practicality -- 1 Introduction -- 2 Comparative Analysis -- 3 Research Challenges and Issues -- 4 Conclusion -- References -- Fog Intelligence for Energy Optimized Computation in Industry 4.0 -- 1 Introduction -- 2 Why DRL is Important in IIoT Offloading? -- 2.1 Related Work -- 2.2 Contribution -- 3 Network Model -- 4 Proposed DRL for Task Offloading -- 5 Experimental Analysis -- 5.1 Simulation Setup -- 5.2 Delay Analysis -- 5.3 Energy Analysis -- 5.4 Performance Analysis of DRL -- 6 Conclusion -- References -- Security Enhancement of Content in Fog Environment -- 1 Introduction -- 2 Cloud Computing -- 3 Challenges of Cloud Computing -- 3.1 Fog Computing -- 3.2 Benefits of Fog Computing -- 3.3 Disadvantages of Fog Computing -- 3.4 Cloud vs Fog and Edge Computing -- 4 Literature Review -- 5 Problem Statement -- 6 Proposed Model -- 6.1 At Sending End.
6.2 At the Receiver End -- 7 Result and Discussion -- 7.1 Implementation of Fog -- 8 Conclusion -- 9 Future Scope -- References -- Local Database Connectivity and UI Design for the Smart Automated Cooker -- 1 Introduction -- 2 Literature Survey -- 2.1 PyQt5 -- 2.2 MySqL Database -- 3 GUI Design and Database Connectivity -- 3.1 UI Designing -- 4 Results and Discussion -- 5 Challenges -- 6 Future Scope -- 7 Conclusion -- References -- A Detection Approach for IoT Traffic-Based DDoS Attacks -- 1 Introduction -- 1.1 IoT Platform -- 1.2 DDoS Attack -- 1.3 Recent Statistical Information of DDoS Attacks -- 1.4 Contributions -- 1.5 Structure of the Article -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Training Process -- 4 Experimental Environment -- 5 Results and Analysis -- 6 Conclusions -- References -- Comparison between Performance of Constraint Solver for Prediction Model in Symbolic Execution -- 1 Introduction -- 2 Symbolic Execution Environment -- 2.1 Symbolic Execution (SE) -- 2.2 Constraint Solver -- 3 Limitation of Symbolic Execution -- 3.1 Path Explosion -- 3.2 Search Heuristics -- 3.3 Pruning Redundant Paths -- 3.4 Lazy Test Generation -- 3.5 Constraint Solving -- 3.6 Redundant Constraint Elimination -- 3.7 Prioritization of Constraint Set -- 4 Literature Review -- 4.1 By Automatically Learning Search Heuristics -- 4.2 Improving Symbolic Execution through solver Selection Based on Machine Learning [12] -- 4.3 SMT Time Prediction Model [15] -- 5 Proposed Approach -- 5.1 Methodology -- 5.2 Framework -- 5.3 Experimental Setup -- 6 Result and Analysis -- 6.1 Comparison by F1 Score -- 6.2 Comparison by Timeout Query -- 6.3 Comparison by Original Solving Time -- 7 Conclusion and Future work -- References -- Cost-Deadline Constrained Robust Scheduling of Workflows Using Hybrid Instances in IaaS Cloud -- 1 Introduction -- 2 Related Work.
3 Application and Resource Model -- 4 Proposed Work -- 5 Performance Evaluation -- 5.1 Analysis Based on Cost -- 5.2 Analysis Based on Makespan -- 5.3 Analysis Based on Fault Tolerance -- 6 Conclusion and Future Scope -- References -- AI and IoT for Smart Healthcare -- Comparative Performance Analysis of Machine Learning Algorithms for COVID-19 Cases in India -- 1 Introduction -- 2 Literature Review -- 3 Dataset and Methodology -- 3.1 Dataset -- 3.2 Model Configuration -- 3.3 Methodology -- 4 Results and Observations -- 5 Conclusion and Future Scope -- References -- Performance Analysis of Different Machine Learning Classifiers for Prediction of Lung Cancer -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Dataset -- 3.2 Modules -- 3.3 Algorithm -- 3.4 Ensemble Learning Prediction -- 4 Experimental Learning -- 4.1 Data Preprocessing -- 4.2 Data Mining -- 5 Results and Discussion -- 5.1 Logistic Regression -- 5.2 KNN -- 5.3 SVM -- 5.4 Kernel-SVM -- 5.5 Naïve Bayes -- 5.6 Decision Tree -- 5.7 Random Forest -- 5.8 Ensemble Learning Model -- 6 Conclusion -- References -- Localization Improvements in Faster Residual Convolutional Neural Network Model for Temporomandibular Joint - Osteoarthritis Detection -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Progressive Localized-Improved FRCNN Model -- 4 Experimental Results -- 5 Conclusion -- References -- Semi-Automated Diabetes Prediction Using AutoGluon and TabPFN Models -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 Prediction -- 3 Testbed and Analysis -- 3.1 Experimental Testbed -- 3.2 Analysis -- 4 Conclusion -- References -- Malnutrition Detection Analysis and Nutritional Treatment Using Ensemble Learning -- 1 Introduction -- 2 Literature Review -- 3 Existing System -- 4 Methodology/Proposed System -- 4.1 Collection and Classes of Datasets.
4.2 Implementation of the Model.
Record Nr. UNINA-9910767538403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence of Things : First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part II / / edited by Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma
Artificial Intelligence of Things : First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part II / / edited by Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (409 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Database management
Machine learning
Application software
Computer engineering
Computer networks
Computer systems
Artificial Intelligence
Database Management System
Machine Learning
Computer and Information Systems Applications
Computer Engineering and Networks
Computer System Implementation
Intel·ligència artificial
Internet de les coses
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-48781-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Message from the Patron -- Message from the Conference Chairs -- Message from the Conference Co-chairs -- Organization -- Contents - Part II -- Contents - Part I -- AI and IoT for Electrical, Electronics and Communication Engineering -- Amalgamation of Machine Learning Techniques with Optical Systems: A Futuristic Approach -- 1 Introduction -- 2 Past Work -- 3 Classification of Algorithm based on Optical Data -- 3.1 Feature Extraction from Data in Optical Communication for CNN [Image] -- 3.2 Sequential Data for Recurrent Neural Network -- 3.3 Augmented Data for GAN -- 4 Machine Learning Applications in Optical Systems -- 5 Present Work -- 6 Conclusion and Future Scope -- References -- Antenna Array Fault Detection Using Logistic Regression Technique -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement and Methodology Flow -- 4 Design of Antenna Array and Train Test Dataset Preparation -- 5 Logistic Regression ML Technique and Implementation -- 6 Results and Discussion -- 7 Conclusion -- References -- Internet Based Routing in Vehicular Named Data Networking -- 1 Introduction -- 2 Literature Survey -- 3 NDN Overview -- 3.1 Forwarding Process -- 4 Role of Routing in Named Data Networks -- 5 Forwarding Strategy -- 6 Experimental Setup and Result -- 7 Conclusion -- References -- A Very Deep Adaptive Convolutional Neural Network (VDACNN) for Image Dehazing -- 1 Introduction -- 2 Atmospheric Scattering model -- 3 Methodology -- 3.1 Categorization of Hazy Images -- 3.2 Training of VDCNNs -- 3.3 Image Restoration -- 4 Experimental Results -- 5 Conclusion -- References -- Automatic Door Unlocking System Using Facemask Detection and Thermal Screening -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Technique -- 3.1 Facemask Detection -- 3.2 Temperature Check -- 3.3 Alert System -- 4 Software and Hardware Interfacing.
4.1 Advanced IP Scanner -- 4.2 VNC Viewer -- 5 Results -- 6 Conclusion -- References -- Deep Learning Based Face Recognition System for Automated Identification -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Dataset Description -- 4.1 Dataset Standardization -- 4.2 Class Imbalance in Image Dataset M -- 4.3 Impact of Class Imbalance on Loss Function -- 5 Model Methodology -- 6 Experimental Results -- 7 Conclusion -- References -- Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machine Vision Under RGB Light -- 1 Introduction -- 2 Experimental Setup -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusions -- References -- Analysis of Detection and Recognition of Human Face Using Support Vector Machine -- 1 Introduction -- 1.1 Objectives of the Study -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Support Vector Machines -- 3.2 Training -- 4 Results -- 5 Conclusion and Future Scope -- References -- An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Network -- 1 Introduction -- 2 Recent Works -- 3 Proposed Method -- 3.1 Network Model -- 3.2 Energy Model -- 3.3 Cluster Head Selection Utilizing Modified Particle Swarm Optimization -- 3.4 Algorithm -- 4 Results and Simulation -- 4.1 Simulation Environment -- 4.2 Performance Evaluation -- 5 Conclusion and Future Work -- References -- Machine Learning Based Incipient Fault Diagnosis of Induction Motor -- 1 Introduction -- 2 Types of Faults Occurring in Electrical Machines -- 2.1 Stator Fault -- 2.2 Rotor Fault -- 2.3 Bearing Fault -- 3 Experimental Set-Up and Data Acquisition -- 4 Methodology -- 4.1 Kruskal Wallis Algorithm -- 4.2 Weighted KNN -- 5 Results and Discussion -- 6 Conclusion -- References -- Role of Federated Learning for Internet of Vehicles: A Systematic Review.
1 Introduction to Federated Learning -- 1.1 Categories of Federated Learning. -- 2 Related Work -- 3 Applications of Federated Learning -- 3.1 Google Keyboard -- 3.2 Intelligent Medical Diagnosis Systems -- 3.3 RSU Intelligence -- 3.4 Network Function Virtualization (NFV) Orchestration -- 3.5 Vehicular Intelligence -- 4 Conclusions and Future Direction -- References -- Optimal Rescheduling for Transmission Congestion Management Using Intelligent Hybrid Optimization -- 1 Introduction -- 2 Model Formulation -- 2.1 Equality Constraints -- 2.2 Inequality Constraints -- 3 A New Fuzzy Based Hybrid GA-PSO Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Predictive Load Management Using IoT and Data Analytics -- 1 Introduction -- 2 Problem Statement -- 2.1 Manual Load Shifting -- 2.2 Load Forecasting -- 2.3 Integration of Distributed Energy Resources -- 2.4 Lack of Communication Infrastructure -- 2.5 Implementation of Feed-In Tariff Scheme -- 2.6 Problems in Time of Day/Use (ToD/ToU) Pricing Scheme -- 2.7 Lack of Advancement of Battery Storage Systems -- 3 Literature Review -- 4 Methodology -- 4.1 Energy Measurement -- 4.2 Dataset Generation -- 4.3 Blynk IoT -- 4.4 Demand Prediction -- 4.5 Load Scheduling and Dynamic Tariff Structure -- 5 Conclusion -- References -- AI and IoT for Other Engineering Applications -- A BERT Classifier Approach for Evaluation of Fake News Dissemination -- 1 Introduction -- 2 Fake News Detection -- 2.1 Data Preprocessing Techniques -- 2.2 Feature Extraction Techniques -- 2.3 Classification Algorithms -- 3 Related Work -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion -- 7 Future Work -- References -- Emoji Based Sentiment Classification Using Machine Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Text Pre-processing.
3.2 Using TF-IDF and a Bag-of-Word Feature Engineering for Supervised Machine Learning Models -- 3.3 A Classifier for Classifying -- 4 Result and Discussion -- 5 Conclusion -- References -- Comparative Analysis of Structural Characteristics of Social Networks and Their Relevance in Community Detection -- 1 Introduction -- 2 Related Work -- 3 Structural Characteristics of Social Networks -- 3.1 Network Order -- 3.2 Length (Size) of a Graph -- 3.3 Distance Between Two Vertices -- 3.4 Network Connectedness (Network Density) -- 3.5 Eccentricity of a Graph -- 3.6 Diameter and Periphery -- 3.7 Radius and Centre of a Graph -- 3.8 Degree Distribution -- 3.9 Strength of Ties -- 3.10 Degree Centrality -- 3.11 Closeness Centrality -- 3.12 Eigenvector Centrality (Hubs) -- 3.13 Betweenness Centrality -- 3.14 Local Clustering (LCC) -- 3.15 Global Clustering/Transitivity/Triadic Closure -- 3.16 Clique -- 3.17 Node Cover -- 3.18 Structural Holes -- 3.19 Boundary Spanners -- 3.20 Cut Ratio -- 4 Network Visualization Tools -- 4.1 Comparative Analysis of Various Network Visualization Tools -- 5 Community Detection (CD) -- 6 Evaluation Metrics for Effective Community Detection -- 6.1 Modularity -- 6.2 Density/Edge Density -- 6.3 Total Number of Intra-edges and Inter-edges -- 6.4 Contraction -- 6.5 Expansion -- 6.6 Conductance -- 6.7 Purity -- 6.8 Metrics for Community Evaluation Based on Confusion Matrix -- 6.9 Normalized Mutual Information (NMI) -- 7 Conclusion -- References -- A Meta-data Based Feature Selection Mechanism to Identify Suspicious Reviews -- 1 Introduction -- 2 Earlier Findings -- 3 Features Selection Strategies -- 3.1 Filter Methods -- 3.2 Wrapper Methods -- 3.3 Embedded Methods -- 3.4 A Concatenation Approach Using Meta-data -- 4 Experimental Setup and Result -- 5 Conclusion and Future Scope -- References -- Fake News Detection Using Machine Learning.
1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Data Preprocessing -- 3.2 Feature Extraction -- 3.3 Algorithms Used For Classification -- 3.4 Metrics Used to Access the Performance of Model -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Tuning of Hyperparameters and CNN Architecture to Detect Phone Usage During Driving -- 1 Introduction -- 2 Theory and Formula -- 3 Proposed Framework -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 4 Results and Discussions -- 4.1 The Effect of Number of Epochs -- 4.2 The Effect of Number of Hidden Layers -- 4.3 The Effect of Dropout Layers -- 4.4 Changing the CNN Architecture -- 4.5 Comparison of the Best Models by Hyperparameter Tuning -- 5 Conclusion -- References -- Security Defect Identification of Android Applications by Permission Extraction using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminary Methods -- 3.1 Static Code Analysis -- 3.2 Machine Learning -- 4 Experimental Setup -- 5 Results and discussion -- 6 Conclusion -- References -- Analysis of Employee Attrition using Statistical and Machine Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Phases of analysis -- 4 Result -- 5 Conclusion -- References -- A Time Series Analysis-Based Stock Price Prediction Framework Using Artificial Intelligence -- 1 Introduction -- 1.1 Contribution and Organization of Paper -- 2 Literature Review -- 3 Architecture of Proposed Models -- 4 Experiment Study -- 4.1 Dataset -- 4.2 Technical Indicators -- 4.3 Data Pre-processing and Model Design -- 4.4 Result and Discussion -- 5 Conclusion -- References -- Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity Translation -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 4 Proposed System.
4.1 Source Text Rewriting.
Record Nr. UNINA-9910767532603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cyber physical, computer and automation system : a study of new technologies / / edited by Endra Joelianto, Arjon Turnip, and Augie Widyotriatmo
Cyber physical, computer and automation system : a study of new technologies / / edited by Endra Joelianto, Arjon Turnip, and Augie Widyotriatmo
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (251 pages) : illustrations
Disciplina 620.82
Collana Advances in Intelligent Systems and Computing
Soggetto topico Internet of things
Intelligent agents (Computer software)
Human-machine systems
Sistemes persona-màquina
Agents intel·ligents (Programes d'ordinador)
Control automàtic
Actuadors
Internet de les coses
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-334-062-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Editors -- Management of the Computer-Controlled Hygrothermal Properties in the Room Using the Internet with Ventilator Connection -- 1 Introduction -- 2 Methodology -- 3 Measurement Equipment Description -- 4 Experimental Work -- 5 Results and Discussion the Data Analysis -- 5.1 Temperature -- 5.2 Humidity -- 5.3 Differences -- 5.4 Curve Fitting -- 6 Contactless Transmission of Signal -- 7 Efficiency of Ventilator Implication -- 8 Conclusions -- References -- Design of Smart Security with Face Recognition Method on Internet of Things Using Raspberry Pi -- 1 Introduction -- 2 Methodology -- 2.1 Digital Image Processing -- 2.2 Internet of Things -- 3 Experiment and Results -- 4 Conclusions -- References -- Is Human Behavior the Real Challenge in Combating Phishing -- 1 Introduction -- 2 Theoretical Background -- 2.1 Unified Theories of Acceptance and Use of Technology Model (UTAUT) -- 2.2 Usage -- 2.3 Manage -- 2.4 Elaboration of Likelihood Model (ELM) -- 2.5 Trust -- 2.6 Big Five Personality -- 3 Research Model -- 4 Results -- 4.1 E-Mail Usage and Practice -- 4.2 Variable Validity -- 4.3 Variable and Hypothesis Testing -- 5 Discussion -- 6 Limitation -- References -- Perseverance of Observability in Hovering Quadcopter Under Sensor Faults -- 1 Introduction -- 2 The Dynamics of Quadcopter (QC) as Cascade System -- 2.1 Models of QC Elements -- 2.2 Augmented Model of Quadcopter -- 2.3 Linear Model for Hovering Quadcopter -- 3 Effect of Sensor Faults -- 4 The Controllability Analysis of Cascade System in Hovering Quadcopter -- 5 The Observability Analysis of Cascade System in Hovering Quadcopter -- 5.1 The Case of Perfect IMU Sensor -- 5.2 The Case of Failure in Accelero Sensor -- 5.3 The Case of Failure in Gyro Sensor -- 6 Simulation -- 7 Conclusion -- References.
Integration of FIR and Butterworth Algorithm for Real-Time Extraction of Recorded ECG Signals -- 1 Introduction -- 2 Methods -- 3 Results and Discussions -- 4 Conclusion -- References -- Multi-network Transmission Using Socket Programming to Support Command and Control Systems -- 1 Introduction -- 2 Literature Review -- 2.1 TCP/IP -- 2.2 Socket Programming -- 2.3 Client Server -- 2.4 Interoperability -- 3 Research Methodology -- 3.1 System Analysis -- 3.2 System Design -- 3.3 System Development -- 3.4 Testing -- 3.5 Implementation -- 4 Conclusion and Future Work -- References -- Control Prototype of Manipulator Robot for Skin Cancer Therapy -- 1 Introduction -- 2 Methodology -- 2.1 Modeling of Manipulator Robot -- 2.2 PID Control Optimized by Extremum Seeking Control -- 3 Results and Analysis -- 4 Conclusions -- References -- Video-Based Container Tracking System Using Deep Learning -- 1 Introduction -- 2 Deep Tracking -- 2.1 Convolutional Layer -- 2.2 Pooling Layer -- 2.3 Fully Connected Layer -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Multi-Label Classification Using Problem Transformation Approach and Machine Learning on Text Mining for Multiple Event Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collecting -- 3.2 Labeling -- 3.3 Preprocessing -- 3.4 Classification -- 4 Data Analysis -- 5 Experiment Results and Evaluation -- 5.1 Experiment Step -- 5.2 Evaluation of Binary Classification -- 5.3 Evaluation of Multi-Class Classification -- 5.4 Evaluation of Multi-Label Classification -- 6 Conclusion -- References -- Development of an Automatic Control System for Controlling of Soil pH Using a Microcontroller -- 1 Introduction -- 2 Method -- 3 Result and Discussion -- 4 Conclusion -- References -- Influences of Off-Ramp Volumes on Mean Speed Based on METANET Model.
1 Introduction -- 2 METANET Model -- 3 Influences of Off-Ramp Volumes on Mean Speed -- 4 Numerical Implementation -- 5 Conclusion -- References -- An Adaptive Queue-Length Estimator Based on Stochastic Hybrid Model -- 1 Introduction -- 2 Stochastic Hybrid Model of Queue Length -- 3 Jump Markov Model Structure -- 4 Online Bayesian State-Parameter Estimation for Stochastic Hybrid System -- 4.1 State Estimation of Hybrid System -- 4.2 Parameter Tuning for Kernel Smoothing -- 4.3 Dirichlet Distribution -- 5 Online Bayesian Performance Evaluation -- 6 Conclusion -- References -- Electric Wheelchair Controlled-Based EMG with Backpropagation Neural Network Classifier -- 1 Introduction -- 2 Methods -- 3 Design and Application -- 4 Methods -- 5 Conclusions -- References -- Effect of Methadone on the Brain Activity in Close Eyes Condition -- 1 Introduction -- 2 Method -- 3 Signal Processing -- 4 Results and Discussion -- 5 Conclusion -- References -- Estimating Corn Weight Using Mixed Model with Linear Covariance Function Matrix -- 1 Introduction -- 2 The Method -- 3 Data and Simulation Procedure -- 4 Simulation Results -- 5 Conclusion -- References -- Design and Implementation of Automatic Weather Station Using MQTT Protocol -- 1 Introduction -- 2 Weather Station Component -- 2.1 Weather Station -- 2.2 Microcontroller -- 2.3 Protocol Message Queuing Telemetry Transport (MQTT) -- 2.4 Quality of Service (QoS) -- 3 Implementation -- 3.1 Design of Automatic Weather Station -- 3.2 Power Supply for Automatic Weather Station -- 4 Testing Phase and Result -- 4.1 Testing Accuracy of Automatic Weather Station -- 4.2 Bandwidth Testing -- 4.3 Delay Testing -- 4.4 Packet Size Testing -- 5 Conclusion -- References -- Rainfall Prediction in Tengger Indonesia: A System Dynamics Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Rainfall -- 2.2 System Dynamics.
3 Simulation -- 3.1 Development of Model -- 3.2 Simulation -- 4 Result and Discussion -- 5 Conclusion -- References -- Adequacy Assessment of Grid-Connected Nanogrid -- 1 Introduction -- 2 Nanogrid -- 3 Reliability Analysis of Power System -- 3.1 Outage and Interruption -- 3.2 Stages of Nanogrid Adequacy Assessment -- 3.3 Reliability Indicator -- 4 Result and Discussions -- 5 Conclusion -- References -- Electroencephalography-Based Neuromarketing Using Pegasos on Partition Membership Data -- 1 Introduction -- 2 Research Method -- 2.1 Data Collecting -- 2.2 Feature Extraction -- 2.3 Propositionalization -- 2.4 Pegasos -- 2.5 Evaluation -- 3 Results and Analysis -- 3.1 The Performance of Base Classifiers -- 3.2 The Performance of Combination of Base Classifiers with the Propositionalization -- 4 Conclusion -- References -- A Literature Review for Non-player Character Existence in Educational Game -- 1 Introduction -- 2 Systematic Literature Review Methodology -- 3 Method -- 3.1 Research Question -- 3.2 Search Strategy -- 3.3 Quality Assessment -- 4 Result and Discussion -- 4.1 Searching and Classification Paper -- 4.2 RQ: NPC Existence and Its Method -- 5 Conclusion -- References.
Record Nr. UNINA-9910484515003321
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Data science and intelligent systems Proceedings of 5th Computational Methods in Systems and Software 2021 . Volume 2 / / Radek Silhavy, Petr Silhavy, Zdenka Prokopova, editors
Data science and intelligent systems Proceedings of 5th Computational Methods in Systems and Software 2021 . Volume 2 / / Radek Silhavy, Petr Silhavy, Zdenka Prokopova, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (1073 pages)
Disciplina 006.3
Collana Lecture notes in networks and systems
Soggetto topico Artificial intelligence
Control theory
Internet of things
Intel·ligència artificial
Teoria de control
Internet de les coses
Enginyeria de programari
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-90321-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510569503321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Development and future of internet of drones (IoD) : insights, trends and road ahead / / Rajalakshmi Krishnamurthi, Anand Nayyar, Aboul Ella Hassanien, editors
Development and future of internet of drones (IoD) : insights, trends and road ahead / / Rajalakshmi Krishnamurthi, Anand Nayyar, Aboul Ella Hassanien, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (275 pages)
Disciplina 004.678
Collana Studies in Systems, Decision and Control
Soggetto topico Internet of things
Drone aircraft - Automatic control
Aerial surveillance - Automatic control
Drons
Internet de les coses
Aprenentatge automàtic
Intel·ligència artificial
Soggetto genere / forma Llibres electrònics
ISBN 3-030-63339-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483663903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui