Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25-26, 2023, Revised Selected Papers, Part I

• Autore: Satheeskumaran S
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (428 pages)
• Altri autori: ZhangYudong BalasValentina Emilia HongTzung-pei PelusiDanilo
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Transfer Learning Based Bi-GRU for Intrusion Detection System in Cloud Computing -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 Optimization Based Classification -- 4 Results and Discussion -- 4.1 Dataset Details -- 4.2 Performance Measures -- 5 Conclusion -- References -- Text to High Quality Image Generation Using Diffusion Model and Visual Transformer -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Algorithm -- 5 Results and Discussions -- 6 Experimentation -- 7 Comparison with Existing Models -- 8 Conclusion -- References -- Bequeathing the Blockchain Wallet in Public Blockchain Securing Wallet Sensitive Data -- 1 Introduction -- 1.1 Motivation of Research -- 1.2 Contribution -- 2 Preliminary -- 2.1 Blockchain -- 2.2 Encryption Algorithms Used -- 3 Proposed Method for Public Blockchain -- 4 Security Analysis -- 4.1 Comparison with Proposed Framework -- 4.2 Analysis on System Security -- 5 Conclusion -- References -- Few Shot Domain Adaptation Using Transformer and GNN-Based Fine Tuning -- 1 Introduction -- 2 Literature Review -- 3 Methodology/Experimental -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Model -- 4 Algorithm -- 5 Results and Discussion -- 6 Conclusion -- References -- Prediction of Diabetic Retinopathy Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Collection -- 3.2 Image Pre-processing -- 3.3 Data Visualization -- 3.4 Training the Data -- 3.5 Evaluating The Data -- 4 Results and Discussion -- 5 Conclusion -- References -- Maritime Vessel Segmentation in Satellite Imagery Using UNET Architecture and Multiloss Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing. ; 3.3 Model Architecture -- 3.4 Algorithm -- 3.5 Model Training -- 4 Result Analysis -- 5 Conclusion -- References -- A Blockchain-Based Ad-Hoc Network to Provide Live Updates to Navigation Systems -- 1 Introduction -- 2 Literature Survey -- 3 Relevant Use Cases -- 3.1 Sports Car with Low Ground Clearance -- 3.2 ATM Status -- 4 Blockchain-Based Ad-Hoc Network -- 4.1 Hardware -- 4.2 Framework -- 4.3 Workflow -- 5 Implementation and Results -- 6 Conclusion -- 7 Future Work -- References -- Recognition of Facial Expressions Using Geometric Appearance Features -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 MUG Dataset -- 3.2 Data Pre-processing -- 3.3 Feature Extraction -- 3.4 Classification -- 4 Experimental Results -- 5 Conclusion -- References -- Facial Emotion Recognition Using Deep Learning -- 1 Introduction -- 2 Background of the Work -- 3 Background -- 4 Methodology -- 4.1 Software Narrative -- 4.2 Open CV -- 4.3 NumPy -- 5 Problem Delineation -- 5.1 Flow Diagram of the Proposed Work -- 5.2 Algorithmic Steps -- 5.3 Dataset -- 5.4 Face Registraton -- 6 Results -- 7 Conclusion -- References -- Graph Based Semantically Extractive Tool for Text Summarization Using Similarity Score -- 1 Introduction -- 1.1 Abstractive Text Summarization -- 1.2 Extractive Text Summarization -- 1.3 Problem statement -- 2 Related Works -- 3 Proposed Methodology -- 4 Implementation -- 5 Results -- 6 Conclusion and Future Works -- References -- Cloud Based Attendance Management System Using Face Recognition with Haar Cascade Classifier and CNN -- 1 Introduction -- 1.1 The major face recognition algorithms discussed as: -- 2 Literature Study -- 3 Existing Solution -- 4 Methodology -- 4.1 CNN Architecture -- 4.2 Haar Cascades -- 5 Results and Discussion -- 6 Conclusion -- References. ; An Efficient Early Detection of Lung Cancer and Pneumonia with Streamlit -- 1 Introduction -- 2 Related Works -- 3 Methodologies of the Proposed Work -- 3.1 Methodology for Lung Cancer Detection -- 3.2 Methodology for Pneumonia -- 3.3 System Design -- 4 Results -- 4.1 Results and Discussion on Lung Cancer -- 4.2 Results and Discussion on Pneumonia -- 4.3 Results and Discussion on Streamlit Web Application -- 5 Conclusion -- References -- An Improved Filter Based Feature Selection Model for Kidney Disease Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Research Gap -- 3 Methods -- 3.1 Working Principle -- 3.2 Significant Feature Selection -- 3.3 Statement of the Problem -- 3.4 Proposed Approach -- 4 Result -- 4.1 Dataset Description -- 4.2 Discussion -- 4.3 Significant Feature Selection -- 5 Conclusion -- References -- A Novel Approach to Address Concept Drift Detection with the Accuracy Enhanced Ensemble (AEE) in Data Stream Mining -- 1 Introduction -- 2 Literature Review -- 2.1 Ensemble Drift Detection Methods -- 2.2 Problem Statement -- 3 Proposed Methodology -- 3.1 Proposed Method Steps -- 4 Possible Outcomes -- 5 Conclusion -- References -- Intelligent Computing Techniques for Sustainable Cybersecurity: Enhancing Threat Detection and Response -- 1 Introduction -- 1.1 Types of Cyber Security -- 1.2 Study's Contribution -- 2 Literature Review -- 3 Methodology -- 3.1 Data Description -- 3.2 Data Pre-processing -- 3.3 Feature Selection -- 3.4 Indices of Performance -- 4 Results and Discussion -- 5 Conclusion -- References -- Parkinson's Disease Progression: Comparative Analysis of ML Models and Embedded Algorithm -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Pre-processing -- 3.2 Dataset Split -- 3.3 Selection of ML Models -- 3.4 Hyperparameter Tuning -- 3.5 Model Evaluation -- 4 Results -- 5 Discussion -- 6 Conclusion. ; References -- System Evaluation of Team and Winner Prediction in One Day International Matches with Scenario Based Questionnaire -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection and Understanding -- 3.2 Feature Selection and Optimization -- 3.3 Hybrid CS-PSO -- 3.4 Learning Algorithms/Model Selection -- 3.5 Training and Testing -- 3.6 Parameter Tuning and Model Evaluation -- 4 Result Analysis -- 4.1 Result for Winner Prediction (Model 1, 2, and 3) -- 4.2 Result: Player Selection for Team Formation -- 5 System Evaluation -- 5.1 Manual Evaluation of Winner Prediction System -- 5.2 Manual Evaluation of Team Prediction System -- 6 Conclusion and Future Work -- References -- Data-Driven Precision: Machine Learning's Impact on Thyroid Disease Diagnosis and Prediction -- 1 Introduction -- 2 Implementation -- 2.1 Exploring Its Role and Diagnostic Techniques -- 2.2 Unveiling the Power of Classification and Regression -- 2.3 Unraveling Multinomial Logistic Regression: Considerations, Applications, and Interpretation -- 2.4 Simultaneous Approach -- 2.5 Support Vector Machine (SVM) Variants and Extensions -- 2.6 Gradient Boosting -- 3 Conclusion and Future Work -- References -- Modeling and Design of an Autonomous Amphibious Vehicle with Obstacle Avoidance for Surveillance Applications -- 1 Introduction -- 2 Related Work -- 3 Proposed Solution -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Prediction of Cardio Vascular Diseases Using Calibrated Machine Learning Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Gaussian Naïve Bayes (GNB) -- 3.2 Calibration -- 3.3 Sigmoid Calibration -- 3.4 Isotonic Calibration -- 3.5 Brier Score -- 4 Dataset -- 5 Experimental Results -- 5.1 Preprocessing -- 5.2 Input and Output Selection -- 5.3 Model Fitting -- 6 Conclusion -- References. ; Alzheimer's Disease Detection Using Resnet -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Proposed Model -- 3.2 Model Details -- 4 Result and Discussion -- 5 Conclusion -- References -- Dysarthria Speech Disorder Assessment Using Genetic Algorithm (GA)-Based Layered Recurrent Neural Network -- 1 Introduction -- 1.1 Motivation -- 2 Related Work -- 3 Methodology -- 3.1 Clustered Cuckoo Search Optimized Feature Subset Selection -- 3.2 Speech Signal Energy-Based Lung Capacity Estimation -- 3.3 GA-Based Layered Recurrent Neural Networks -- 4 Results and Discussions -- 4.1 Performance Measure of Accuracy -- 4.2 Performance Measure of Precision -- 4.3 Performance Measure of RMSE -- 5 Conclusion -- References -- Plant Disease Diagnosis with Novel Segmentation and Multiple Feature Selection Based on Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Crop Image Acquiring and Pre-processing Techniques -- 3.2 Segmentation Color and Shape Elements -- 3.3 Feature Extraction Color and Shape Elements -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- An Integrated Method to Monitor Indoor Air Quality Using IoT for Enhanced Health of COPD Patients -- 1 Introduction -- 2 Indoor Air Quality and Improved Living Environment -- 3 Related Works -- 4 Proposed Methodology - Materials and Methods -- 4.1 Thingsboard -- 4.2 Flutter Framework -- 5 Results and Discussions -- 6 Conclusion -- References -- Design and Development of Computational Methodologies for Agricultural Informatics -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 A Novel Data Mining Technique for Accurate Prediction of Leaf Diseases with Soil Characteristics -- 3.2 The Prediction of Leaf Disease and Soil Properties Using Multi-channel Convolutional Neural Network. ; 3.3 Multi-channel Multi-modal Concatenation-Based Deep Learning Model for Leaf Infection and Soil Property Prediction.
• Titolo autorizzato: Intelligent Computing for Sustainable Development
• ISBN: 3-031-61287-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910864194203321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series