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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Fourth Congress on Intelligent Systems : CIS 2023, Volume 1 / / edited by Sandeep Kumar, Balachandran K., Joong Hoon Kim, Jagdish Chand Bansal |
Autore | Kumar Sandeep |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (477 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Artificial intelligence Robotics Computational Intelligence Artificial Intelligence |
ISBN | 981-9990-37-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. A Simple way to predict Heart Disease using AI -- 2. Automating Dose Prediction in Radiation Treatment Planning using Self-Attention based Dense Generative Adversarial Network -- 3. Track Learning Agent using Multi-Objective Reinforcement Learning -- 4. Performance Assessment of Gaussian Filter Based Image Fusion Algorithm -- 5. A Cognitive Comparative Analysis of Geometric Shape-based Cryptosystem -- 6. A Lesion Feature Engineering Technique based on Gaussian Mixture Model to Detect Cervical Cancer -- 7. Energy Optimization of Electronic Vehicle Using Blockchain Method -- 8. Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals -- 9. Novel Approach for Stock Prediction using Technical Analysis & Sentiment Analysis -- 10. Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces. |
Record Nr. | UNINA-9910845088503321 |
Kumar Sandeep
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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] | ||
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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 |
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 | ||
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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 |
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 |
Kumar Sandeep
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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