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Advances in Harmony Search, Soft Computing and Applications / / edited by Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
| Advances in Harmony Search, Soft Computing and Applications / / edited by Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 254 p. 117 illus., 78 illus. in color.) |
| Disciplina |
006.3
005.1 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Machine learning Computational Intelligence Machine Learning |
| ISBN | 3-030-31967-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483604603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fourth Congress on Intelligent Systems : CIS 2023, Volume 3
| Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 |
| Autore | Kumar Sandeep |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (426 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KBalachandran
KimJoong Hoon BansalJagdish Chand |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9990-43-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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:. |
| Record Nr. | UNINA-9910845500303321 |
Kumar Sandeep
|
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fourth Congress on Intelligent Systems : CIS 2023, Volume 1
| Fourth Congress on Intelligent Systems : CIS 2023, Volume 1 |
| Autore | Kumar Sandeep |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (477 pages) |
| Collana | Lecture Notes in Networks and Systems Series |
| Soggetto topico | Intelligent systems |
| ISBN | 981-9990-37-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910845088503321 |
|
Kumar Sandeep
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fourth Congress on Intelligent Systems : CIS 2023, Volume 2
| Fourth Congress on Intelligent Systems : CIS 2023, Volume 2 |
| Autore | Kumar Sandeep |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BalachandranK
KimJoong Hoon BansalJagdish Chand |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9990-40-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Comparative Study of Various Machine Learning Techniques for Parkinson Disease Detection Based on Handwriting -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Acquisition and Collection -- 3.2 Feature Extraction from Images -- 3.3 Machine Learning for Classification -- 4 Results and Discussion -- 4.1 Metrics -- 5 Conclusion -- References -- A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing -- 1 Introduction -- 2 Air Pollutants -- 2.1 Carbon Monoxide (CO) -- 2.2 Carbon Dioxide (CO2) -- 2.3 Nitrogen Compounds (NO) -- 2.4 Sulfur Dioxide (SO2) -- 2.5 Ozone (O3) -- 2.6 Particulate Matter (PM) -- 3 Methodology -- 4 Review Analysis -- 5 Conclusion and Future -- References -- Fingerprint-Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Work Flow -- 3.2 Preprocessing and Image Splitting -- 3.3 Image Shuffling -- 3.4 Template Generation -- 3.5 Large Number Generation -- 3.6 Prime Numbers Generation -- 3.7 Public-Private Key Generation -- 4 Results and Discussion -- 4.1 Data Set -- 4.2 Execution Time -- 4.3 Key Generation Range -- 4.4 Security Analysis -- 5 Conclusion -- References -- Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Proposed MRI Brain Tumor Detection Model and Detection Unit -- 2.3 Evaluation Matrix -- 3 Experimental Result and Discussion -- 3.1 Results After Preprocessing -- 3.2 Overall Performance -- 4 Conclusion -- References -- Media Steganography Using CNN with Blockchain-Enabled Secure File Transfer -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusion.
References -- Diagnosing ADHD and Personality Disorders as Per DSM-5 Using Novel APK, PDPK, and DDPK Machine Learning Algorithms -- 1 Introduction -- 1.1 Developmental Psychology -- 1.2 Developmental Disorder -- 1.3 Psychopathology -- 1.4 Diagnosing Developmental Disorders as Per DSM-5 -- 1.5 Significance of Accurate Diagnosis of Developmental Disorders -- 1.6 Objectives of the Research Work -- 2 ML Approach to Psychopathology -- 3 Review of Literature -- 4 Methodology -- 4.1 APK Unsupervised ML Algorithm -- 4.2 PDPK Unsupervised ML Algorithm -- 4.3 DDPK Unsupervised ML Algorithm -- 5 Results -- 5.1 APK ML Algorithm Diagnosing the Prevalence or the Onset of ADHD -- 5.2 PDPK Algorithm Diagnosing the Prevalence of Personality Disorders -- 5.3 DDPK Algorithm for the Differential Diagnosis of Personality Disorder -- 6 Discussion -- 7 Conclusions -- 8 Limitations of the Research -- 9 Future Enhancements -- References -- Inception Time Model for Structural Damage Detection Using Vibration Measurements -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Inception Time Model -- 3 Data Set Description -- 3.1 Shear Frame Structure -- 3.2 ASCE Benchmark Structure -- 3.3 Generation of Data Set -- 4 Results and Analysis -- 4.1 Performance Measure -- 4.2 Analysis of Results for Shear Frame Structure -- 4.3 Analysis of Results for ASCE Benchmark Structure -- 5 Conclusion -- References -- Exploring Challenges and Innovations in E-Commerce Recommendation Systems: A Comprehensive Review -- 1 Introduction -- 2 Background Knowledge -- 2.1 Collaborative Filtering (CF) -- 2.2 Content-Based Filtering (CBF) -- 3 Studies on Recommendation Systems -- 3.1 Importance of Personalised Recommendation -- 3.2 Combination of Collaborative Filtering and Other Approaches -- 3.3 Handling Problems in Recommendation -- 3.4 Different Approaches for Recommendations. 3.5 Coupon Usage in Recommendation -- 4 Conclusion -- References -- Enhanced Ensemble Classifiers for Heart Disease Prediction -- 1 Introduction -- 2 State of Art Related to Heart Disease Prediction -- 3 Proposed Methodology -- 3.1 Input Dataset and Feature Selection Process -- 3.2 Novel Enhanced Ensemble Classifiers (EEC) -- 3.3 Ensemble Classifier Training -- 3.4 Ensemble Classifier Training -- 3.5 Building Enhanced Ensemble Classifier (EEC) Models -- 4 Experimental Result of EEC Model -- 4.1 Discussions -- 5 Conclusion -- References -- Study of RNN with Its CNN-Based Hybridization for Temporal Remote Sensing Data Processing to Map Rabi Crops -- 1 Introduction -- 2 Recurrent Neural Networks -- 3 Convolutional Neural Networks -- 4 Hybridization of RNN with CNN Models -- 5 Area of Study and Dataset Used -- 5.1 Study Area -- 5.2 Utilized Dataset -- 6 Methodology -- 7 Results and Discussion -- 8 Conclusion -- References -- Safeguarding Healthcare: Leveraging Machine Learning for Enhanced Cybersecurity in the Internet of Medical Things -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Preprocessing and Encoding -- 3.2 Dataset Partitioning and Scaling -- 3.3 Model Design and Training -- 4 Experimental Results -- 4.1 Training and Validation -- 4.2 Performance Analysis -- 4.3 Evaluation -- 5 Discussion and Future Work -- 6 Conclusion -- References -- BIMA: Blockchain-Enabled Fog Computing for Intensive Medical Assistance to Elder Patients -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Priority Setting for Incoming Tasks -- 3.2 Task Allocation Using Adaptive Learning -- 3.3 Miner Selection Using Fuzzy System -- 3.4 Proof of Analysis (PoA): An Energy Efficient Consensus Mechanism for Validation of Block -- 4 Performance Evaluation -- 5 Conclusion -- References. On Some Graphs Whose Domination Number Is the Perfect Italian Domination Number -- 1 Introduction -- 2 Main Results -- 2.1 Characterising Graphs with gamma Subscript upper I Superscript p Baseline left parenthesis upper G right parenthesis equals gamma left parenthesis upper G right parenthesisγIp(G)=γ(G) -- 2.2 Bounds on StartAbsoluteValue upper V left parenthesis upper G right parenthesis EndAbsoluteValue|V(G)|, gamma left parenthesis upper G right parenthesis equals gamma Subscript upper I Superscript p Baseline left parenthesis upper G right parenthesisγ(G)=γIp(G) -- 2.3 gamma Subscript upper I Superscript p Baseline left parenthesis upper G right parenthesisγIp(G) in terms of gamma left parenthesis upper G right parenthesisγ(G) -- 3 Conclusion -- References -- Role of Convolutional Neural Networks in Hyperspectral Imaging Applications: A Review -- 1 Introduction -- 2 Fundamentals of HSI -- 2.1 Structure of Hyperspectral Image -- 2.2 Components of HSI System -- 3 Introduction to ML -- 4 Introduction to Deep Learning and Convolutional Neural Network -- 4.1 DL -- 4.2 CNN -- 4.3 Remote Sensing -- 4.4 Food Quality Assessment -- 4.5 Agriculture and Horticulture -- 4.6 Medical Imaging -- 5 Conclusion -- References -- VARUNA: The Remote-Controlled Fire Fighter Robot -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Block Diagram -- 3.2 Components -- 3.3 Working -- 3.4 CAD Models -- 4 Results and Discussion -- 5 Conclusion -- References -- Investigations on Deep Learning Pre-trained Model Inception-V3 Using Transfer Learning for Remote Sensing Image Classification on Benchmark Datasets -- 1 Introduction -- 2 Pre-trained Models Employed with Transfer Learning -- 3 Overview of Inception-V3 -- 4 Experimental Setup for Remote Sensing Image Classification Using Pre-trained Model Inception-V3 -- 4.1 Datasets Description. 4.2 Evaluation Metrics Used for Model Assessment in Image Classification -- 5 Investigations on Test Accuracy and Test Loss on Benchmark Datasets Using Inception-V3 -- 6 Results Depicted Through Experimentation -- 7 Conclusion and Future Directions -- References -- Review of the Deep Learning Models for Anomaly Detection-Based Video Scrutiny System -- 1 Introduction -- 2 Related Work -- 3 Overview of Surveillance -- 3.1 Anomaly Detection -- 4 Proposed Methodology -- 4.1 Deep Learning Models -- 4.2 Restricted Boltzmann Machine -- 4.3 Auto-encoders -- 4.4 Convolution Neural Network Model -- 5 Limitations -- 6 Conclusion -- References -- Survey on Non-fungible Tokens in Blockchain with Attacks and Challenges -- 1 Introduction -- 2 Literature Review -- 3 NFT Methodology -- 4 Attacks on NFT -- 5 NFT Challenges -- 6 Conclusion and Future Work -- References -- Spatial Co-location Pattern Mining-A Survey of Recent Trends -- 1 Introduction -- 2 Basic Concept -- 3 Multilevel-Global and Local Patterns -- 4 Approaches to Co-location Pattern Mining -- 5 Recent Trends in Spatial Co-location Pattern Mining -- 6 Conclusion and Open Challenges -- References -- A Survey on Anomaly Detection in Network with ML Techniques -- 1 Introduction -- 1.1 Classification of Anomalies -- 2 Machine Learning for Anomaly Detection -- 2.1 Evaluation Index -- 3 Related Work -- 3.1 Anomaly Detection in Various Networks Using Supervised Machine Learning -- 3.2 Anomaly Detection in Various Networks Using Unsupervised Machine Learning -- 3.3 Anomaly Detection in Various Networks Using Semi-supervised Machine Learning -- 3.4 Anomaly Detection in Various Networks Using Reinforcement Learning -- 4 Challenges in Various Networks with ML Technique via DoS and DDoS -- 5 Conclusion and Future Work -- References. Chaos Control in a Time Delayed Phytoplankton-Zooplankton System with Harvesting of Zooplankton. |
| Record Nr. | UNINA-9910847072003321 |
|
Kumar Sandeep
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Harmony Search Algorithm : Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) / / edited by Joong Hoon Kim, Zong Woo Geem
| Harmony Search Algorithm : Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) / / edited by Joong Hoon Kim, Zong Woo Geem |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (455 p.) |
| Disciplina | 004 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Artificial intelligence
Computational intelligence Algorithms Artificial Intelligence Computational Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-662-47926-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA. |
| Record Nr. | UNINA-9910254181903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Harmony Search and Nature Inspired Optimization Algorithms [[electronic resource] ] : Theory and Applications, ICHSA 2018 / / edited by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim
| Harmony Search and Nature Inspired Optimization Algorithms [[electronic resource] ] : Theory and Applications, ICHSA 2018 / / edited by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (1,209 pages) |
| Disciplina | 005.1 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Computer vision Data mining Computational Intelligence Image Processing and Computer Vision Data Mining and Knowledge Discovery |
| ISBN | 981-13-0761-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484451903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of 7th international conference on harmony search, soft computing and applications : ICHSA 2022 / / Joong Hoon Kim [and four others] editors
| Proceedings of 7th international conference on harmony search, soft computing and applications : ICHSA 2022 / / Joong Hoon Kim [and four others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (xv, 522 pages) : illustrations (chiefly color) |
| Disciplina | 005.1 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico | Computer algorithms |
| ISBN | 981-19-2948-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910591034703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings on International Conference on Data Analytics and Computing [[electronic resource] ] : ICDAC 2022 / / edited by Anupam Yadav, Gaurav Gupta, Puneet Rana, Joong Hoon Kim
| Proceedings on International Conference on Data Analytics and Computing [[electronic resource] ] : ICDAC 2022 / / edited by Anupam Yadav, Gaurav Gupta, Puneet Rana, Joong Hoon Kim |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XII, 396 p. 178 illus., 127 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Natural language processing (Computer science) Machine learning Computational Intelligence Artificial Intelligence Big Data Natural Language Processing (NLP) Machine Learning |
| ISBN | 981-9934-32-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Denoising Techniques for ECG Arrhythmia Classification Systems: An Experimental Approach -- 1 Introduction -- 2 Denoising Techniques -- 2.1 Cascaded Median Filter -- 2.2 Wavelet-Based Denoising -- 3 Experimental Methodology -- 4 Performance Measures -- 5 Results of Experimental Analysis -- 6 Conclusion -- References -- CNN Architecture-Based Image Retrieval of Colonoscopy Polyp Frames -- 1 Introduction -- 2 Related Works -- 3 Materials and Method -- 3.1 Dataset Description -- 3.2 Data Preparation and Augmentation -- 3.3 Developed Colonoscopy Polyp Image Retrieval Pipeline -- 4 Results and Discussion -- 4.1 Feature Mapping -- 4.2 Comparison with the Existing SOTA Pipelines -- 5 Conclusion -- References -- A KP-ABE-Based ECC Approach for Internet of Medical Things -- 1 Introduction -- 1.1 Related Works -- 2 Mathematical Preliminaries -- 2.1 Elliptic Curve Discrete Logarithm Problem (ECDLP) -- 2.2 Elliptic Curve Cryptograpy -- 2.3 Access Structure -- 2.4 Linear Secret Sharing (LSS) Scheme -- 3 Proposed Scheme -- 3.1 Overview of the Proposed Scheme -- 3.2 System Model -- 3.3 Construction of Proposed Scheme -- 4 Results and Discussion -- 5 Conclusion -- References -- A Discrete Firefly-Based Task Scheduling Algorithm for Cloud Infrastructure -- 1 Introduction -- 2 Background -- 3 Proposed Work -- 3.1 Problem Formulation -- 3.2 Introduction to Firefly Algorithm -- 3.3 Discrete Firefly Approach for Task Scheduling -- 4 Simulation -- 5 Conclusion -- References -- An Efficient Human Face Detection Technique Based on CNN with SVM Classifier -- 1 Introduction -- 1.1 Face Recognition and Detection Process -- 1.2 Motivation and Contribution -- 2 Related Work -- 3 Face Detection Techniques -- 3.1 LBPH -- 3.2 Eigenfaces -- 3.3 Fisherface -- 4 Proposed CNN-Based Approach -- 5 Experiment Results and Analyses.
5.1 Environmental Setup -- 5.2 Results and Discussion -- 5.3 Training Time -- 5.4 Time for Prediction -- 6 Conclusion and Future Scope -- References -- Results on Periodicity of Memristive Inertial Neural Networks with Mixed Delays -- 1 Introduction -- 2 Preliminaries -- 3 Main Result -- 4 Illustrative Example -- 5 Conclusion -- References -- A Comparative Analysis of Gradient-Based Optimization Methods for Machine Learning Problems -- 1 Introduction -- 2 Optimization Methods with Adaptive Gradient and Learning Rate -- 2.1 Stochastic Gradient Descent with Momentum (SGDm) -- 2.2 AdaGrad -- 2.3 AdaDelta -- 2.4 RMSProp -- 2.5 Adam -- 2.6 AdaMax -- 2.7 Nadam -- 3 Experiments -- 3.1 Data Sets -- 3.2 Experimental Settings -- 3.3 Problem 1 -- 3.4 Problem 2 -- 3.5 Problem 3 -- 4 Conclusion -- References -- Vegetation Cover Estimation Using Sentinel-2 Multispectral Data -- 1 Introduction -- 2 Methodology -- 3 Dataset and Location of Study -- 3.1 Data Selection -- 3.2 Preprocessing -- 3.3 Classification -- 3.4 Accuracy Assessment -- 3.5 Change Detection -- 3.6 Percentage Vegetation Cover -- 3.7 Area Calculation -- 4 Results and Discussion -- 4.1 Classification and Validation -- 4.2 Change Detection -- 4.3 Area Estimation and Crop Contribution -- 5 Conclusion -- References -- Wheat Crop Acreage Estimation Using Vegetation Change Detection with Multi-layer Neural Network -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area and Data Set -- 2.2 Data Processing and Data Collection -- 3 Methodology -- 3.1 Multi-layer Neural Network -- 4 Results -- 4.1 Vegetation Change Map -- 4.2 Vegetation Area Estimation Using Difference Map -- 4.3 Wheat Crop Mapping and Classification -- 5 Discussion -- 6 Conclusion -- References -- Modified Hybrid GWO-SCA Algorithm for Solving Optimization Problems -- 1 Introduction -- 2 GWO -- 3 SCA -- 4 Modified Hybrid GWO-SCA. 5 Results and Discussion and Experimental Setup -- 6 Conclusion -- References -- Multi-disease Classification Including Localization Through Chest X-Ray Images -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 3.1 Dataset -- 3.2 Convolutional Neural Network -- 3.3 Localization -- 3.4 Evaluation Standard -- 4 Experimental Setup -- 5 Experimental Results and Discussion -- 5.1 Accuracy in Training and Validation -- 5.2 Training and Validation Loss -- 5.3 Confusion Matrix -- 5.4 F1-Score, Recall, and Precision -- 6 Conclusion -- References -- Performance Analysis of Energy-Efficient Cluster-Based Routing Protocols with an Improved Bio-inspired Algorithm in WSNs -- 1 Introduction -- 2 Related Work-Existing Algorithms and Protocols -- 3 Conventional Butterfly Optimization Algorithm -- 4 The Proposed Algorithm: Improved Version of BOA -- 5 Simulation Results and Comparative Analysis -- 6 Conclusion and Future Directions -- References -- Comparative Analysis of YOLO Algorithms for Intelligent Traffic Monitoring -- 1 Introduction -- 2 Comparative Analysis of YOLO Algorithm -- 3 Proposed Methodology -- 3.1 Vehicle Detection Using YOLO -- 3.2 Vehicle Tracking Algorithms -- 3.3 Data Collection Plan -- 4 Results and Discussion -- 4.1 Training and Testing of Different YOLO Versions -- 4.2 Statistical Test -- 4.3 Vehicle Tracking Using YOLO V4 Deep SORT -- 5 Conclusion and Future Scope -- References -- Performance Analysis of Mayfly Algorithm for Problem Solving in Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Inspiration and Methodology -- 3.1 Modified MO -- 3.2 Convergence Graph -- 3.3 Comparative Analysis -- 4 Applications of MA -- 5 Conclusion and Future Scope -- References -- An Empirical Comparison of Community Detection Techniques for Amazon Dataset -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Louvain Method. 3.2 Girvan-Newman Algorithm (GNM) -- 3.3 Label Propagation Algorithm -- 3.4 CNM (Clauset Newman) Algorithms -- 4 Results -- 5 Conclusion and Future Scope -- References -- Attention-Based Model for Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Word Embedding -- 3.2 LSTM -- 4 Proposed Model -- 5 Experiment and Results -- 5.1 Dataset -- 5.2 Experimental Setting -- 5.3 Performance Metrics -- 5.4 Results -- 6 Conclusion -- References -- Lightning Search Algorithm Tuned Simultaneous Water Turbine Governor Actions for Power Oscillation Damping -- 1 Introduction -- 2 Hydro Turbine Modelling -- 3 Hydro Governor with Generator Modelling -- 4 Modelling of SPV Generation -- 5 Objective Function -- 6 LSA Algorithm -- 7 Result and Discussion -- 8 Conclusion -- References -- A Framework for Syntactic Error Detection for Punjabi and Hindi Languages Using Statistical Pattern Matching Approach -- 1 Introduction -- 2 Existing Systems Grammar Checking Techniques Used -- 2.1 Rule-Based Approach -- 2.2 Syntax-Based Approach -- 2.3 Statistics-Based Approach -- 2.4 Machine Learning-Based Approach -- 2.5 Hybrid Approach-Based Automated Grammar Checker -- 3 Proposed Methodology -- 3.1 Development of POS Patterns -- 3.2 Check the Correctness of Hindi/Punjabi Language Sentences -- 4 Result Outcomes and Discussion -- 5 Conclusion and Future Scope -- References -- Modified VGG16 Transfer Learning Approach for Lung Cancer Classification -- 1 Related Works -- 2 Methodology -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 Transfer Learning -- 3 Experimental Results -- 4 Conclusions -- References -- Metaheuristic Algorithms based Analysis of Turning Models -- 1 Introduction -- 2 Review of Literature on Machine Conditioning and Model Optimization -- 3 Machining Parameter Optimization Models. 4 Methodology: Laplace Crossover and Power Mutation Genetic Algorithm (LXPM) -- 4.1 Computational Steps of LXPM -- 4.2 Laplace Crossover -- 4.3 Power Mutation -- 4.4 Constraint Handling in LXPM -- 4.5 Parameter Settings -- 5 Computational Analysis -- 6 Conclusions -- References -- Ensemble-Inspired Multi-focus Image Fusion Framework -- 1 Introduction -- 2 Proposed Framework -- 2.1 Feature Extraction Process -- 2.2 Learning Framework -- 3 Experimental Results and Discussions -- 3.1 Experimental and Evaluation Setup -- 3.2 Performance Evaluation Results -- 4 Conclusion -- References -- Automated Human Tracing Using Gait and Face Using Artificial Neural Network in Surveillance System -- 1 Introduction -- 2 Research Objectives -- 3 Introduction of Multimodal Biometrics -- 4 Machine Learning -- 5 Proposed Method -- 6 Conclusion and Future Scope -- References -- Lossless Compression Approach for Reversible Data Hiding in Encrypted Images -- 1 Introduction -- 2 Proposed Approach -- 2.1 Encryption -- 2.2 Embedding -- 2.3 Secret Data and Image Retrieval -- 3 Demonstration -- 4 Experimental Results and Analysis -- 4.1 Security Analysis -- 4.2 Comparison -- 5 Conclusion -- References -- Boosting Algorithms-Based Intrusion Detection System: A Performance Comparison Perspective -- 1 Introduction -- 2 Classification of IDS -- 3 Related Work -- 4 Proposed IDS -- 5 Evaluation and Discussion -- 6 Conclusion -- References -- ROI Segmentation Using Two-Fold Image with Super-Resolution Technique -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Histogram Equalization -- 3.2 Gray Scale Erosion -- 3.3 Thresholding -- 3.4 Concealed Image Creation -- 3.5 Two-Fold Image Creation -- 4 Dataset -- 5 Results and Discussions -- 6 Comparative Analysis -- 7 Conclusion -- References. Heart Disease Prediction Using Stacking Ensemble Model Based on Machine Learning Approach. |
| Record Nr. | UNINA-9910741141703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Third Congress on Intelligent Systems : Proceedings of CIS 2022, Volume 2 / / edited by Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal
| Third Congress on Intelligent Systems : Proceedings of CIS 2022, Volume 2 / / edited by Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal |
| Autore | Kumar Sandeep |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (850 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SharmaHarish
BalachandranK KimJoong Hoon BansalJagdish Chand |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Robotics Computational Intelligence Artificial Intelligence |
| Soggetto non controllato | Science |
| ISBN |
9789811993794
9789811993787 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Patch Extraction and Classifier for Abnormality Classification in Mammography Imaging -- Improving the Performance of Fuzzy Rule Based Classification Systems using Particle Swarm Optimization -- Tuning Extreme Learning Machine by Hybrid Planet Optimization Algorithm: An Application for Diabetes Classification -- Towards Computation Offloading Approaches in IoT-Fog-Cloud Environment: Survey on Concepts, Architectures, Tools and Methodologies -- Prediction of COVID-19 Pandemic spread using Graph Neural Networks -- Event Based Time-To-Contact Estimation with Depth Image Fusion -- mCD and Clipped RBM based DBN for Optimal Classification of Breast Cancer -- Digital Disruption in Major Ports with Special Reference to Chennai Port, Kamarajar Port and Tuticorin Port -- SmartTour: A Blockchain-based Smart Tourism Platform using Improvised SHA -- Detection of Starch in Turmeric using Machine Learning Methods -- A study of Crypto-Ransomware using Detection Techniques for Defence Research -- Internet of Things (IOT) Based Smart Agriculture System Implementation and Current Challenges -- Physical Unclonable Function and Smart Contract based Authentication Protocol for Medical Sensor Network -- Developing Prediction Model for Hospital Appointment No-Shows using Logistic Regression. |
| Record Nr. | UNINA-9910734096103321 |
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Kumar Sandeep
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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