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Fourth Congress on Intelligent Systems : CIS 2023, Volume 3



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Autore: Kumar Sandeep Visualizza persona
Titolo: Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024
©2024
Edizione: 1st ed.
Descrizione fisica: 1 online resource (426 pages)
Disciplina: 006.3
Altri autori: KBalachandran  
KimJoong Hoon  
BansalJagdish Chand  
Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis -- 1 Introduction -- 1.1 Drusen -- 1.2 Choroidal Neovascularization (CNV) -- 2 Related Work -- 3 Review Analysis -- 3.1 Convolutional Neural Networks (CNNs) -- 3.2 Generative Adversarial Networks (GANs) -- 4 Conclusion -- References -- An Adaptive Detection Mechanism for IoT Devices Anomalies Using AI/ML Based on User Pattern -- 1 Introduction -- 1.1 Background -- 2 Related Work -- 3 Proposed Framework -- 3.1 AI Model -- 3.2 Data Preparation and Preprocessing -- 3.3 Model Flow -- 4 Conclusion and Future Scope -- References -- Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools -- 1 Introduction -- 2 Description of the Study -- 3 Universal Automation Tool for Testing Android and iOS Applications -- 3.1 Page Object Generation Module -- 3.2 Module for Generating Test Scenarios -- 3.3 Module for Receiving Application Assemblies -- 3.4 Mobile Device Farm Integration Module -- 4 Discussion -- 5 Conclusions -- References -- Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Model -- 4 Results -- 5 Conclusion -- References -- An Insightful Analysis of Preprocessing Methods Used in EEG Signals for Computer-Assisted Cognitive Domain -- 1 Introduction -- 2 Material and Methods -- 3 Preprocessing Taxonomy for EEG Signals -- 3.1 Importing Raw Data -- 3.2 Downsampling -- 3.3 Filtering -- 3.4 Re-referencing the Data -- 3.5 Removing Bad Segments -- 3.6 Removing Bad Channels -- 3.7 Artifact Removal -- 3.8 Epoching -- 4 Conclusions and Future Scope -- References.
Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data Set -- 1 Introduction -- 2 Related Work -- 3 Data Set Collection and Annotation Procedure -- 3.1 Data Collection -- 3.2 Annotation Procedure -- 4 Personal Emotional Bias-PEB -- 5 Experimentation and Results -- 5.1 Multivariate Regression -- 6 Conclusions -- References -- A Survey on Feature Selection, Classification, and Optimization Techniques for EEG-Based Brain-Computer Interface -- 1 Introduction -- 2 Literature Review -- 2.1 EEG-Based BCI -- 2.2 Feature Selection for BCI -- 2.3 Classification Method-Based BCI -- 2.4 Optimization Methods in BCI -- 3 Research Challenges, Gaps and Limitations -- 4 Conclusion -- References -- Mean Teacher Model with Consistency Regularization for Semi-supervised Detection of COVID-19 Using Cough Recordings -- 1 Introduction -- 2 Related Works -- 3 Materials and Methodology -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 Data Augmentation -- 3.4 Feature Extraction and Feature Selection -- 3.5 Proposed Framework for COVID-19 Classification -- 3.6 Performance Metrics -- 4 Result and Discussion -- 4.1 Cross-Validation Results -- 4.2 Test Set Performance -- 5 Conclusion -- References -- Multimodal Early Fusion Strategy Based on Deep Learning Methods for Cervical Cancer Identification -- 1 Introduction -- 2 Methodology -- 2.1 Transfer Learning -- 2.2 Novel Fusion Strategy -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Implementation Environment -- 3.3 Evaluation Metrics -- 4 Conclusion -- References -- Comparing Online and Face-to-Face Training with Employees Perspective -- 1 Introduction -- 2 Literature Review -- 3 Objective -- 4 Methodology -- 5 Points Received from Interview -- 6 Questionnaire Analysis -- 7 Discussion and Implications -- 8 Suggestions -- References.
Enhancing Chatbot Interaction with Emotion Detection for Improved Understanding: EmoBot -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Preparation -- 3.2 Model Architecture -- 3.3 Training the Model -- 3.4 Emotion Prediction -- 3.5 Streamlit and LangChain Integration -- 4 Results -- 5 Conclusion and Future Works -- References -- Bridging Language Barriers: Exploring Hindi-to-English Speech-to-Speech Translation for Multilingual Communication -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Methodology -- 4.1 Speech-To-Text -- 4.2 Text Translation -- 4.3 Text-To-Speech -- 5 Results and Discussion -- 5.1 Speech-to-Text -- 5.2 Text Translation -- 5.3 Text-To-Speech -- 6 Conclusion and Future Works -- References -- CNN-Based Assistive Technology Platform for Hearing Impairments Individuals -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Dataset Collection -- 3.2 Data Augmentation -- 3.3 Feature Extraction and Model Training -- 3.4 Mobile Application Development -- 4 Implementation and Results -- 4.1 Performance Evaluation -- 4.2 Results -- 5 Conclusion -- References -- Underwater Image Denoising and Semantic Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Two-Dimensional-Variational Mode Decomposition -- 4 Findings and Analysis of the Experiment -- 4.1 Description of the Dataset -- 5 Conclusion -- References -- Ensuring Audit-Free Cloud Using CFF with AES-SHA in Cloud Computing -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Approach -- 4 Segments Description -- 5 Performance Evaluation -- 6 Conclusion -- References -- DC-CNNPAD to Enhance the Detection Rate for Iris Presentation Attack -- 1 Introduction -- 2 Problem Statement -- 3 Related Work -- 4 Proposed Methodology -- 4.1 Data Pre-processing -- 4.2 Dual-Channel CNN PAD Design -- 4.3 Fusion Techniques.
5 Results and Analysis -- 6 Conclusion -- References -- Augmented Reality based Navigation for Indoor Environment using Unity Platform -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Prototype and Testing -- 4 Results -- 5 Conclusion -- References -- Identification of Phishing URLs Using Machine Learning Models -- 1 Introduction -- 2 Literature Survey -- 3 Models Comparison -- 3.1 Standalone Models -- 3.2 Ensemble Models -- 3.3 Deep Learning Models -- 3.4 Model Selection -- 4 Dataset -- 5 Features -- 6 Conclusion -- References -- Segmentation of Brain Tumours Using Optimised U-Net Architecture -- 1 Introduction -- 2 Literature Review -- 3 Existing System and Proposed System -- 4 Module Description -- 5 Design Phase -- 5.1 U-Net Architecture -- 5.2 OpenCV -- 5.3 Scikit-Image -- 6 Dataset Models -- 6.1 Flair -- 6.2 T1 -- 6.3 T1ce -- 6.4 T2 -- 6.5 Dataset Models Design -- 7 Implementation and Testing -- 7.1 Input and Output -- 8 Experimental Results -- 8.1 Efficiency of the Proposed System -- 8.2 Training and Prediction -- 9 Conclusion and Future Improvements -- References -- On script upper CmathcalC-Perfection of Tensor Product of Graphs -- 1 Introduction -- 2 Preliminaries -- 3 Results on script upper CmathcalC-Perfection on Tensor Product of Graphs -- 4 Summary and Conclusion -- References -- War Strategy Optimization for Optimal Integration of Public Fast Charging Stations in Radial Feeders -- 1 Introduction -- 2 Modeling of Concepts -- 3 Problem Formulation -- 4 War Strategy Optimization -- 4.1 Attack Strategy -- 4.2 Rank and Weight Updation -- 4.3 Defense Strategy -- 4.4 Replacement/Relocation of Weak Soldiers -- 5 Simulation Results -- 5.1 Base Case -- 5.2 Network Performance with Distributed EV Load Penetration -- 5.3 Network Performance with Optimal Allocation of PFCSs -- 6 Conclusion -- References.
Comparative Analysis of Blockchain Technology in Healthcare Data Management -- 1 Introduction -- 2 Literature Survey -- 2.1 Research on Blockchain Technology in Healthcare -- 2.2 Blockchain Technology and Its Applications -- 2.3 Traditional Security Frameworks in Healthcare -- 3 Blockchain Technology -- 3.1 Blockchain Technology in Healthcare Management -- 4 Advantages of Blockchain Technology Over Traditional Security Frameworks -- 5 Case Studies and Real-World Implementations -- 6 Challenges and Limitations of Blockchain Technology -- 7 Conclusion -- References -- Certificate Generation and Validation Using Blockchain -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture Diagram -- 4 Implementation -- 5 Results and Discussion -- 6 Conclusion -- References -- A Review on Deep Learning Algorithms in the Detection of Autism Spectrum Disorder -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Convolutional Neural Network -- 3.2 Recurrent Neural Network -- 3.3 Long Short-Term Memory Network -- 3.4 Convolution Recurrent Neural Network (CRNN) -- 4 Discussions -- 5 Conclusion -- References -- Key Elements for Managing Autonomous Organizational Systems -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Autonomous Organizational Systems -- 5 Decision Making -- 6 Applicable Theories -- 7 Key Elements -- 7.1 Technical Elements -- 7.2 Social (Human) Elements -- 7.3 Conceptual Framework of the Key Elements -- 8 Conclusion -- References -- Summarization of Daily News Using TextRank and TF-IDF Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 TextRank Algorithm -- 3.2 TF-IDF Algorithm -- 4 Performance Evaluation Measures -- 5 Experimental Results -- 5.1 Original Text -- 5.2 Summary Produced by TextRank Algorithm -- 5.3 Summary Produced by TF-IDF Algorithm -- 6 Observations and Findings.
References:.
Titolo autorizzato: Fourth Congress on Intelligent Systems  Visualizza cluster
ISBN: 981-9990-43-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910845500303321
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Serie: Lecture Notes in Networks and Systems Series