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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 | ||
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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
| 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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An Introduction to Neural Network Methods for Differential Equations / / by Neha Yadav, Anupam Yadav, Manoj Kumar
| An Introduction to Neural Network Methods for Differential Equations / / by Neha Yadav, Anupam Yadav, Manoj Kumar |
| Autore | Yadav Neha |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (124 p.) |
| Disciplina | 006.32 |
| Collana | SpringerBriefs in Computational Intelligence |
| Soggetto topico |
Neural networks (Computer science)
Differential equations Physics Applied mathematics Engineering mathematics Computer science - Mathematics Mathematical Models of Cognitive Processes and Neural Networks Ordinary Differential Equations Numerical and Computational Physics, Simulation Mathematical and Computational Engineering Computational Mathematics and Numerical Analysis |
| ISBN | 94-017-9816-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- 1 Overview of Differential Equations -- 2 History of Neural Networks -- 3 Preliminaries of Neural Networks -- 4 Neural Network Methods for Solving Differential Equations -- Conclusion -- Appendix -- References -- Index. |
| Record Nr. | UNINA-9910299676803321 |
Yadav Neha
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| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2015 | ||
| 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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Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2024 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das
| Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2024 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das |
| Autore | Pundir Aditya Kumar Singh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (212 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavAnupam
DasSwagatam |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Automatic control Computational Intelligence Artificial Intelligence Control and Systems Theory |
| ISBN |
9789819776320
9819776325 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Gesture Assisted Real Time Implementation of Rock Paper Scissors Employing SqueezeNet -- Towards Identifying High-performing Feature Descriptors for Depth based Hand Signs Recognition -- Classification Of Chess Pieces using Distributed Deep Learning -- Gomoku Parallelization with Ray: Elevating Traditional Gaming Experience -- Object Detection Model Performance Analysis for Garbage Detection on Resource-Limited Platforms -- Fuzzy Based Fraud Prediction System In Digital Transaction -- Automated Classification of Musical Genres: A Machine Learning Approach with Random Forest and Feature Engineering -- Hybrid Approach for Heart and Liver Disease Prediction -- Utilizing twitter data and NLP to analyze and predict public sentiment trends in mental health -- Optimal Test Cases Generation using Evolutionary Soft Computing Techniques -- Enhancing Security in Blockchain Based System with Sharding via Advanced Encryption Standard (AES) Algorithm -- Designing A Blockchain Based Secure Scheme for Oil and Gas Supply Chain System using Hyperledger Fabric and InterPlanetary File System (IPFS) -- Exploring Anomaly Detection Techniques for Crime Detection. |
| Record Nr. | UNINA-9910919815103321 |
|
Pundir Aditya Kumar Singh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2023 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das
| Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2023 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das |
| Autore | Pundir Aditya Kumar Singh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavAnupam
DasSwagatam |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Automatic control Quantitative research Computational Intelligence Artificial Intelligence Control and Systems Theory Data Analysis and Big Data |
| ISBN |
9789819957927
9819957923 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Conference Program Committee -- Preface -- Contents -- Performance Analysis of UAV Routing Protocol Based on Mobility Models -- 1 Introduction -- 2 Mobility Model and Routing Protocol -- 3 Methodology and Experimental Evaluation -- 4 Results and Discussions -- 5 Conclusion and Future Enhancements -- References -- Evaluation of Lubricant Film Thickness in Helical Gear on Contact Line at Critical Points by Using Elastohydrodynamic Model and It's Comparison with Kisssoft Result -- 1 Introduction -- 1.1 Contact Zone -- 1.2 Determination of Important Point of Contact Line -- 1.3 Contact Geometry -- 1.4 Literature Review -- 1.5 Problem Definition -- 1.6 Software Packages in Use -- 1.7 Elastohydrodynamic Lubrication (EHL) Model Development -- 1.8 Surface Elastic Deflection-Evaluation -- 1.9 Formation of Deformation Equation -- 1.10 Results and Discussions -- 1.11 Conclusion and Future Scope -- References -- ABC Algorithm for Evaluating the Performance of the SVC and Optimal Power Flow -- 1 Introduction -- 2 The Formulation of the OPF's Problems -- 3 The Artificial Bee Colony Algorithm Description -- 4 Test Results -- 5 Conclusions -- References -- ELPDI: A Novel Ensemble Learning Approach for Pulmonary Disease Identification -- 1 Introduction -- 2 Related Works -- 2.1 VGG-16 -- 2.2 Inception-V4 -- 2.3 ResNet-50 -- 3 Ensemble Learning for Identification of Pulmonary Disease -- 3.1 Converting Audio Files into Spectrograms -- 3.2 Classification of Generated Spectrograms -- 4 Results -- 4.1 Dataset Description -- 5 Conclusion -- References -- JAYA-Based Task Scheduling Algorithm in Fog-Cloud Environment -- 1 Introduction -- 2 Related Work -- 2.1 JAYA -- 3 Task Scheduling Using I-JAYA -- 3.1 I-JAYA Algorithm -- 4 Performance Evaluation -- 4.1 Simulation Study -- 5 Conclusion and Future Work -- References.
BLOCK-FEMF: Efficient Forensic Evidence Management Framework Using Blockchain Technology -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Implementation -- 4.1 Adding Users to the Blockchain Network -- 4.2 Transfer Ownership -- 4.3 Adding Evidence to the Case -- 4.4 Retrieving of Evidence from Case File -- 5 Results and Discussions -- 5.1 Gas Value Consumption -- 5.2 Time Consumption -- 5.3 Comparative Study Analysis -- 6 Conclusion -- References -- Bacterial Spot Classification in Bell Pepper Plants Based on Convolutional Neural Network Architecture -- 1 Introduction -- 2 Literature Review -- 3 Transfer Learning -- 4 Google Net and ResNet Architecture -- 4.1 Google Net -- 4.2 ResNet -- 5 Methodology of the Work -- 5.1 Aim of the Project -- 5.2 Procedure of the Work -- 5.3 Result Generated -- 6 Conclusion -- References -- Prediction of Bone Mineral Density Using AI to Detect Osteoporosis -- 1 Introduction -- 2 Methodology for Collection of Data -- 2.1 Data Description -- 2.2 Machine Learning Algorithms -- 2.3 Tableau -- 3 Result -- 4 Conclusions -- References -- On the Depth of Convolutional Neural Networks for Image Classification Problems -- 1 Introduction -- 2 Related Works and Motivation -- 3 Network Models -- 3.1 Depth Level 1 (Model 1) -- 3.2 Depth Level 2 (Model 2) -- 3.3 Depth Level 3 (Model 3) -- 3.4 Depth Level 4 (Model 4) -- 4 Experiments and Observation -- 4.1 Datasets Description -- 4.2 Prediction Performance -- 4.3 Comparative Study and Discussion -- 5 Conclusion -- References -- A Modified Tilt Integral Derivative (MTID) Controller Design Using Direct Synthesis Approach -- 1 Introduction -- 1.1 DOF Control Schemes -- 1.2 DOF Control Schemes on Fractional Order Framework -- 2 Methodology -- 2.1 Direct Synthesis Method -- 2.2 Controller Design for Processes 1 -- 2.3 Controller Design for Processes 2. 2.4 Controller Structure -- 2.5 Selection of Controller Parameter αcl -- 3 Results and Discussions -- 3.1 Case Study-1 -- 3.2 Case Study-2 -- 4 Conclusions -- References -- A Novel Modified Semicircular Patch Antenna for Next Generation Communication -- 1 Introduction -- 2 Antenna Design -- 3 Results and Discussions -- 4 Comparison Between Previously Designed Antennas and Proposed Antenna -- 5 Conclusion -- References -- Panoptic Driving Perception Using Deep Learning Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Encoder -- 3.2 Decoders -- 3.3 Loss Function -- 3.4 Distance Computation -- 3.5 Experimental Setup -- 4 Results -- 4.1 Lane and Line Detection -- 5 Conclusion -- References -- Schistosomiasis Prevention Undermined by Water Point Forecasting: An Approach Based on Data Fusion Model -- 1 Introduction -- 2 Background on Evidence Theory -- 2.1 Modeling -- 2.2 Estimation -- 2.3 Combination -- 2.4 Decision -- 3 Proposed Data Fusion Architecture -- 4 Implementation of Evidence Theory -- 4.1 Mass Modeling and Estimation -- 4.2 Combination of Mass Functions -- 5 Evaluation -- 5.1 Experimental Setup -- 6 Results -- 6.1 Infestation States Observed for Each Scenario -- 6.2 Overall Performance of the FuMalMMO Model -- 7 Conclusion -- References -- A Comparative Study of Classification Algorithms for the Prediction of Communication Effectiveness -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- A Dynamic Threshold-Based Cognitive Radio Energy Detection Algorithm for Multi-carrier Waveforms -- 1 Introduction -- 2 System Model -- 3 Simulation Results -- 4 Conclusion -- References -- Comparison of Different Alphabetically Shaped Microstrip Patch Antennas in the S-Band Using HFSS -- 1 Introduction -- 2 Proposed Antenna Designs. 2.1 E-Shaped Antenna -- 2.2 H Shaped Antenna -- 2.3 U Shaped Antenna -- 3 Simulation Results -- 3.1 E Shaped Antenna -- 3.2 H Shaped Antenna -- 3.3 U Shaped Antenna -- 4 Conclusion -- References -- Using MNIST Dataset for De-Pois Attack and Defence -- 1 Introduction -- 2 Literature Review -- 3 Business and Data Understanding -- 4 Data Preparation and Data Modelling -- 5 Deployment, Analysis and Results -- References -- Direction Detection of Select Stocks with Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Fundamental and Technical Analysis -- 2.2 Algorithmic Trading -- 2.3 Supervised and Unsupervised Learning -- 2.4 Classification Machine Learning Techniques -- 2.5 Confusion Matrix for Classification Models -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Exploration -- 3.3 Data Pre-processing -- 3.4 Data Modeling -- 4 Implementation and Results -- 4.1 Model Evaluation Using Logistic Regression Classifier for Go Long Direction Prediction -- 4.2 Model Evaluation Using Random Forest Classifier for Go Long Direction Prediction -- 4.3 Model Evaluation Using Extreme Gradient Boost Classifier for Go Long Direction Prediction -- 4.4 Direction Detection and Go Long Direction Prediction Using the Best Classifier Model -- 4.5 Utility from the Business Perspectives -- 4.6 Risk Adjusted Returns -- 5 Conclusion and Future Scope -- References -- Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Material and Methods -- 4 Proposed Model -- 5 Data Understanding -- 5.1 Incident Proportion by Employment Type -- 5.2 Incident Proportion by Incident Type -- 5.3 Incident Proportion by Month -- 5.4 Incident Proportion by Gender -- 5.5 Incident Proportion by Causing Effect -- 5.6 Incident Proportion by Plant -- 5.7 Incident Proportion by Location. 5.8 Incident Proportion by Injury Illness Type -- 6 Implementation -- 6.1 Structured Data -- 6.2 Combined Data -- 7 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910755082703321 |
|
Pundir Aditya Kumar Singh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent trends in communication and intelligent systems : proceedings of ICRTCIS 2020 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das
| Recent trends in communication and intelligent systems : proceedings of ICRTCIS 2020 / / edited by Aditya Kumar Singh Pundir, Anupam Yadav, Swagatam Das |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (xx, 220 pages) : illustrations |
| Disciplina | 004.6 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico | Computer networks |
| ISBN | 981-16-0167-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484754103321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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