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Proceedings of International Conference on Computational Intelligence and Data Engineering : ICCIDE 2022 / / edited by Nabendu Chaki, Nagaraju Devarakonda, Agostino Cortesi
| Proceedings of International Conference on Computational Intelligence and Data Engineering : ICCIDE 2022 / / edited by Nabendu Chaki, Nagaraju Devarakonda, Agostino Cortesi |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (564 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
| ISBN | 981-9906-09-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- A Review of Deep Learning Methods in Automatic Facial Micro-expression Recognition -- 1 Introduction -- 2 Micro-expression Datasets -- 2.1 Spontaneous Micro-expression Corpus (SMIC) -- 2.2 Chinese Academy of Sciences Micro-expression (CASME) Dataset -- 2.3 Chinese Academy of Sciences Micro-expression (CASME II) Dataset -- 3 Micro-expression Recognition -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Performance Metrics -- 5 Conclusion -- References -- Mathematical Modeling of Diabetic Patient Model Using Intelligent Control Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 4 Conclusion -- References -- End-to-End Multi-dialect Malayalam Speech Recognition Using Deep-CNN, LSTM-RNN, and Machine Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology and Design -- 3.1 The Proposed Methodology -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Building the Accented ASR System -- 4 Experimental Results -- 5 Conclusion and Future Scope -- References -- JSON Document Clustering Based on Structural Similarity and Semantic Fusion -- 1 Introduction -- 2 Literature Survey -- 3 JSim -- 3.1 Schema Extraction -- 3.2 Similarity Computation -- 3.3 Clustering -- 4 Experimental Evaluation -- 4.1 Results -- 4.2 Discussion -- 5 Conclusions -- References -- Solar Power Forecasting to Solve the Duck Curve Problem -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Duck Curve -- 3.2 Data Acquisition and Inputs -- 3.3 Flowchart -- 3.4 Machine Learning Algorithms Tested -- 4 Results -- 4.1 Performance of Machine Learning Models -- 4.2 Random Forest Performance Metrics -- 4.3 Calculation of Generated Power for VIT Chennai -- 4.4 Duck Curve for VIT Chennai -- 4.5 Case Study -- 5 Conclusion -- References.
Dynamic Optimized Multi-metric Data Transmission over ITS -- 1 Introduction -- 2 Related Multi-cast Mobility Models -- 3 Proposed Implementation -- 3.1 Procedure for selection of Multi-cast Node -- 3.2 Acknowledgment (ACK) Procedure in NOSMR -- 3.3 Representation of Acknowledgement Data Frame -- 4 Experimental Results -- 5 Conclusion and Future Work -- 6 Proof of the Concept -- References -- Solar Energy-Based Intelligent Animal Reciprocating Device for Crop Protection Using Deep Learning Techniques -- 1 Introduction -- 2 Real-World Problems of Image Classification -- 3 Test System Description -- 4 Methodology -- 4.1 Convolutional Neural Networks (CNNs) -- 4.2 Recurrent Neural Networks (RNNs) -- 5 Experimental Processing -- 6 Conclusion -- References -- Toward More Robust Classifier: Negative Log-Likelihood Aware Curriculum Learning -- 1 Introduction -- 2 Literature Survey -- 3 Uncertainty Estimation -- 3.1 Mathematical Formulas for Uncertainty Quantification -- 4 Negative Log-Likelihood and Uncertainty -- 4.1 Likelihood Versus Probability -- 4.2 Maximum Likelihood Estimation -- 4.3 Negative Log-Likelihood and Its Relationship with SoftMax Activations -- 5 Methodology -- 6 Results -- 7 Conclusion -- References -- Design of Fuzzy Logic Controller-Based DPFC Device for Solar-Wind Hybrid System -- 1 Introduction -- 2 Proposed Dynamic System -- 2.1 Concept of Wind Energy Conversion System -- 2.2 Concept of Solar PV System -- 3 Distributed Power Flow Controller -- 3.1 Central Control -- 3.2 Series Control -- 3.3 Shunt Control -- 4 DPFC with Fuzzy Logic Controller -- 5 Results and Discussion -- 5.1 Simulation Results of PV/Wind Hybrid System Without Any Custom Device -- 5.2 Simulation Results of PV/Wind Hybrid System with UPFC -- 5.3 Simulation Results of PV/Wind Hybrid System with DPFC -- 5.4 Simulation Results DPFC Device with Fuzzy Logic Controller. 5.5 Comparative Analysis -- 6 Conclusion -- References -- Analysis of EEG Signal with Feature and Feature Extraction Techniques for Emotion Recognition Using Deep Learning Techniques -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Datasets -- 3.2 Preprocessing -- 3.3 Extraction of Features -- 3.4 Feature Selection (FS) -- 3.5 Classifier -- 4 Discussion and Results -- 5 Conclusion -- References -- Innovative Generation of Transcripts and Validation Using Public Blockchain: Ethereum -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Web Server Module -- 3.2 Certificate Verification Module -- 3.3 Raft Consensus Module -- 3.4 Inter-planetary File System -- 3.5 Hyperledger Fabric Channel Module -- 3.6 Hyperledger Fabric Transaction -- 3.7 Paxos Module -- 3.8 Organization Inclusion and Deletion -- 3.9 Feedback Module -- 3.10 Cloud Deployment Module -- 4 Experimental Results -- 4.1 Performance Metrics -- 5 Conclusion and Future Work -- References -- Windows Malware Hunting with InceptionResNetv2 Assisted Malware Visualization Approach -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Overview -- 3.2 Grayscale Malware Images -- 3.3 InceptionResNetv2 CNN -- 4 Experiments -- 4.1 Dataset Details -- 4.2 Evaluation Metrics -- 5 Results and Analysis -- 6 Conclusions and Future Scope -- References -- Custom-Built Deep Convolutional Neural Network for Breathing Sound Classification to Detect Respiratory Diseases -- 1 Introduction -- 1.1 Significance of the Proposed Model -- 1.2 Research Gap and Contributions of the Paper -- 2 Literature Survey -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusions and Future Scope -- References -- Infrastructure Resiliency in Cloud Computing -- 1 Introduction -- 2 Methodology -- 2.1 System Set-Up Stage -- 3 Experimental Results -- 4 Conclusion -- 4.1 Limitations. 4.2 Recommendation -- 4.3 Future Research -- References -- Deep Learning Model With Game Theory-Based Gradient Explanations for Retinal Images -- 1 Introduction -- 2 Materials and Method -- 2.1 Integrated Gradients -- 2.2 Smooth-Grad -- 2.3 Shapley Values -- 2.4 Proposed SHAP Gradient DR Model -- 3 Results and Discussion -- 3.1 Dataset Description -- 3.2 Performance Evaluation of DR Classification -- 3.3 Analysis of the Explainability SHAP Gradient DR Model -- 4 Conclusion -- References -- A Comparative Analysis of Transformer-Based Models for Document Visual Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Text-Based Visual Question Answering -- 2.2 Transformer-Based Natural Language Processing Models -- 2.3 Multimodal Learning in Vision and Language Tasks -- 3 Methodology -- 3.1 Method for Text Extraction -- 3.2 Method for Answer Extraction Transformer-Based Models -- 4 Experiments and Results -- 4.1 DocVQA -- 4.2 Experimental Setup -- 4.3 Results Obtained by Various Models on DocVQA -- 4.4 Experiments -- 5 Conclusion and Future Work -- References -- Develop Hybrid Wolf Optimization with Faster RCNN to Enhance Plant Disease Detection Performance Analysis -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Feature Extraction -- 3.3 Predicting Diseased Spots -- 4 Experimental Evaluation -- 4.1 Prediction of Accuracy and Speed -- 5 Conclusion -- References -- An Efficient CatBoost Classifier Approach to Detect Intrusions in MQTT Protocol for Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Message Queuing Telemetry Transport (MQTT) -- 4 Proposed Method for CatBoost Classifier -- 4.1 Research Methodology -- 5 Results and Discussion -- 5.1 Imbalanced Dataset -- 6 Conclusion -- References -- Self-regulatory Fault Forbearing and Recuperation Scheduling Model in Uncertain Cloud Context. 1 Introduction -- 1.1 Cloud Computing -- 1.2 Task Scheduling -- 1.3 Fault Tolerance -- 1.4 Types of Failures in Cloud Environment -- 2 Literature Review -- 2.1 Cloud and Its Uncertainties -- 2.2 Resource Provisioning Strategies for Improving QoS -- 2.3 Fault Tolerance and Detection Techniques -- 2.4 Fault Tolerance and Management Techniques -- 2.5 Challenges Identified -- 3 Proposed Methodology -- 3.1 Experimental Setup and Dataset Description -- 3.2 RFDR Model -- 3.3 Fault Injection Mechanism -- 3.4 Fault Detection Mechanism -- 3.5 Recovery Mechanism -- 3.6 Failure Metrics and QoS Parameters Used -- 4 Experimental Evaluation and Results -- 4.1 Analyzing Performance of RFDR in Various Scheduling Algorithms -- 5 Conclusion -- References -- A Comprehensive Survey on Student Perceptions of Online Threat from Cyberbullying in Kosova -- 1 Introduction -- 1.1 Cyberbullying Consequences -- 2 Related Work -- 3 Methodology -- 3.1 Research Questions -- 3.2 Limitations -- 3.3 Data Analysis Procedures -- 3.4 Data Presentation -- 3.5 Types of Questionnaire Questions -- 4 Results -- 5 Discussion -- 6 Future Work -- 7 Conclusions -- References -- Addressing Localization and Hole Identification Problem in Wireless Sensor Networks -- 1 Introduction -- 2 Technological Background -- 3 Proposed System -- 3.1 Addressing Localization -- 3.2 Hole Identification and Healing -- 3.3 Implementation and Result Analysis -- 4 Conclusion and Future Work -- References -- The Impact of ICMP Attacks in Software-Defined Network Environments -- 1 Introduction -- 2 Literature Review -- 3 Internet Control Message Protocol (ICMP) -- 3.1 Operations of ICMP Protocol -- 3.2 ICMP Messages -- 3.3 ICMP Message Types -- 3.4 ICMP Message Format -- 4 ICMP Attacks in SDN Environments -- 4.1 Application Layer Flooding -- 4.2 SYN Flooding -- 5 Experiment and Results -- 5.1 CPU Utilization. 5.2 Control Channel Bandwidth. |
| Record Nr. | UNINA-9910731457203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Computational Intelligence and Data Engineering : Proceedings of ICCIDE 2018 / / edited by Nabendu Chaki, Nagaraju Devarakonda, Anirban Sarkar, Narayan C. Debnath
| Proceedings of International Conference on Computational Intelligence and Data Engineering : Proceedings of ICCIDE 2018 / / edited by Nabendu Chaki, Nagaraju Devarakonda, Anirban Sarkar, Narayan C. Debnath |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 258 p. 138 illus., 87 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Data mining Big data Computational Intelligence Data Mining and Knowledge Discovery Big Data |
| ISBN | 981-13-6459-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Performance Evaluation of Guest Operating System Following Obliteration of Pre-Installed Features -- Formalization of SOA Design Patterns Using Model-Based Specication Technique -- Computational Analysis of Differences in Indian and American Poetry -- Feature Selection for Driver Drowsiness Detection -- Monitoring and Recommendations of Public Transport Using GPS Data -- An Efficient Automatic Brain Tumor Classification using LBP Features and SVM based Classifier -- Analyzing Student Performance in Engineering Placement Using Data Mining -- Cepstrum Based Road Surface Recognition Using Long Range Automotive Radar -- Market Data Analysis by Using Support Vector Machine Learning Technique -- Pre-processing Techniques for Detection of Blurred Images -- Automatic Edge Detection and Growth Prediction of Pleural Effusion Using Raster Scan Algorithm -- Automatic Evaluation of Programming Assignments Using Information Retrieval Techniques. |
| Record Nr. | UNINA-9910483871703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of International Conference on Computational Intelligence and Data Engineering : ICCIDE 2017 / / edited by Nabendu Chaki, Agostino Cortesi, Nagaraju Devarakonda
| Proceedings of International Conference on Computational Intelligence and Data Engineering : ICCIDE 2017 / / edited by Nabendu Chaki, Agostino Cortesi, Nagaraju Devarakonda |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 372 p. 188 illus.) |
| Disciplina | 006.301 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Data mining Big data Computational Intelligence Data Mining and Knowledge Discovery Big Data |
| ISBN | 981-10-6319-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- List of Reviewers -- Program Committee -- About the Editors -- Table of Contents -- 30 Chapters -- Author Index. |
| Record Nr. | UNINA-9910299582703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||