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[null,"1.","Record Nr.",null,"UNINA9910497102003321"]
[null,null,"Autore",null,"Raj Jennifer S"]
[null,null,"Titolo",null,"Intelligent Sustainable Systems : Proceedings of ICISS 2021"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore Pte. Limited, , 2021"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"981-16-2422-4"]
[null,null,"Descrizione fisica",null,"1 online resource (844 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems Ser. ; ; v.213"]
[null,null,"Soggetti",null,"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Editors and Contributors -- Deep Learning-Based Approach  for Parkinson's Disease Detection Using Region of Interest -- 1 Introduction -- 1.1 Subject-Level Classification -- 1.2 Region of Interest -- 1.3 Model Generalizability -- 1.4 Data Leakage -- 2 Literature Survey -- 3 Dataset Description -- 4 Methodology -- 4.1 Data Preprocessing -- 4.2 Architecture -- 4.3 Evaluation Metrics -- 5 Experiments and Results -- 5.1 Subject-Level Classification -- 5.2 Region of Interest -- 5.3 Model Generalizability -- 5.4 Effect of Data Leakage -- 6 Conclusion -- References -- Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Description -- 2.2 Retinal Synthetic Image Generation -- 2.3 CNN Classifier -- 3 Experimental Results and Discussions -- 4 Conclusion -- References -- A Novel Leaf Fragment Dataset and ResNet for Small-Scale Image Analysis -- 1 Introduction -- 2 Dataset Preparation -- 2.1 Data Collection -- 2.2 Image Pre-processing -- 2.3 Post-processing -- 2.4 Filename-Format -- 3 Residual Neural Network for Cotyledon-Type Identification and Plant Species Classification -- 3.1 Dataset Formulation and Feature Description -- 3.2 Residual Block -- 3.3 Methodology -- 4 Results -- 4.1 Cotyledon-Type Identification -- 4.2 Plant Species Classification -- 5 Discussion -- 6 Comparison Between Applied ResNet and ResNet-152 V2 -- 7 Conclusion and Possible Future Contributions -- References -- Prediction of Covid 19 Cases Based on Weather Parameters -- 1 Introduction -- 2 Review of Related Literature Paper -- 3 Methodology "]
[{"$nulls":4},"Used -- 3.1 Dataset Used -- 3.2 Correlation Study of the Factors -- 3.3 Mean Squared Error -- 3.4 Models Used for Study -- 3.5 Analysis Performed -- 4 Experiment Results."]
[{"$nulls":4},"4.1 Linear Regression -- 4.2 Decision Tree Regression -- 4.3 Random Forest Regression -- 5 Conclusion -- References -- CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Approaches -- 3.1 Unsupervised K-Means Clustering Algorithm -- 3.2 Secured Multi-party Addition Algorithm -- 3.3 Pailier Homomorphic Encryption -- 4 Work Done -- 5 Experimental Results and Discussion -- 5.1 Communication Overhead -- 5.2 Storage Overhead -- 5.3 Scalability -- 5.4 Encryption Cost -- 5.5 Runtime Analysis on Data Points -- 5.6 Runtime Analysis on Data Dimensionality -- 6 Limitations and Future Work -- 7 Concluding Remarks -- References -- Performance Evaluation of Hierarchical Clustering Protocols in WSN Using MATLAB -- 1 Introduction -- 2 Radio Model -- 3 Overview of Clustering Protocols -- 3.1 LEACH (Low-Energy Adaptive Clustering Hierarchy) -- 3.2 LEACH in Heterogeneous Environment -- 3.3 LEACH-C -- 3.4 SEP -- 3.5 DEEC -- 3.6 DDEEC -- 4 Simulation Scenario and Performance Metrics -- 5 Simulation Results -- 5.1 Scenario 1 -- 5.2 Scenario 2 -- 5.3 Scenario 3 -- 6 Conclusion -- References -- Speech Recognition Using Artificial Neural Network -- 1 Introduction -- 2 Theory -- 2.1 Artificial Neural Networks from the Viewpoint of Speech Recognition -- 2.2 Training -- 2.3 Proposed Model -- 3 Methodology -- 3.1 Different Approaches for Reducing the Error -- 3.2 Changing the Combination and Number of Inputs -- 3.3 Increasing the Number of Hidden Neurons -- 3.4 ANFIS (Adaptive Neuro-Fuzzy Inference System) -- 4 Simulation Results -- 5 Conclusion -- References -- Multi-objective Optimization for Dimension Reduction for Large Datasets -- 1 Introduction -- 2 Literature Review -- 3 Research Challenges -- 4 Feature Selection and Extraction -- 4.1 Principle Component Analysis (PCA)."]
[{"$nulls":4},"4.2 Linear Discriminant Analysis (LDA) -- 4.3 Correlation Analysis (CA) -- 4.4 Autoencoders (AE) -- 4.5 Swarm Intelligence -- 5 Proposed Methodology -- 6 Discussion -- 7 Conclusion -- References -- Modified Leader Algorithm for Under-Sampling the Imbalanced Dataset for Classification -- 1 Introduction -- 2 Proposed Work -- 2.1 Algorithm -- 3 Experimental Results -- 4 Conclusion -- References -- Weather Divergence of Season Through Regression Analytics -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Importing All the Packages -- 3.2 Importing Dataset -- 3.3 Multilinear Regression -- 3.4 Quantile Regression -- 3.5 Covariance and Correlation -- 3.6 Algorithm -- 4 Flowchart -- 5 Results -- 6 Conclusion -- 7 Future Scope -- References -- A Case Study of Energy Audit in Hospital -- 1 Introduction -- 2 Methodology -- 3 Data Analysis -- 3.1 Data Cleaning -- 3.2 Connected Load and Electricity Bill Analysis -- 3.3 Maximum Contract Demand Calculations -- 3.4 Transformer Analysis -- 3.5 Illumination Load Analysis -- 3.6 Cooling Load Analysis -- 3.7 PQ Analyzer -- 4 Discussion -- 5 Conclusion -- References -- The Comparison Analysis of Cluster and Non-cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System) -- 1 Introduction -- 2 Main Significance of Air Pollution Monitoring System in WSN -- 3 Literature Review -- 4 Category of the Routing Protocols Used in Air Pollution Monitoring System in WSN -- 4.1 Cluster-Based Routing Protocols in WAPMS -- 4.2 Non-cluster Based Protocols in WAPMS -- 5 Conclusion and Future Scope -- References -- Frequent Itemset Mining Algorithms-A Literature Survey -- 1 Introduction -- 2 Frequent Itemset Mining Algorithms-A Literature Survey -- 2.1 Building of LP-Tree -- 2.2 Construction of k-FIU-Tree is as Described as Below "]
[{"$nulls":4},"-- 3 Problems and Defınıtıons -- 4 Conclusion -- References."]
[{"$nulls":4},"Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Images -- 1 Introduction -- 2 Literature Survey -- 3 Research Database -- 4 Image Segmentation Techniques for Thermographs -- 5 Conclusion and Future Work -- References -- A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records -- 1 Introduction -- 2 Related Works -- 3 Big Data Applications-An Analysis -- 4 A Secured Big Data and ML-Based Framework -- 5 Classification on Privacy Preserving -- 6 Big Data Life Cycle -- 7 Cloud-Based Framework with Image Processing -- 8 Conclusion -- References -- Performance Analysıs of Different Classıfıcatıon Algorıthms for Bank Loan Sectors -- 1 Introduction -- 2 Build Data Model -- 3 Classıfıcatıon Algorıthms -- 3.1 Implementation of K-Nearest Neighbor (KNN) -- 3.2 Implementation of Decision Tree -- 3.3 Implementation of Support Vector Machine (SVM) -- 3.4 Implementation of Logistic Regression -- 4 Performance Metrics -- 4.1 Jaccard Similarity Score -- 4.2 F1 Score -- 4.3 Log Loss -- 5 Result Analysis -- 6 Conclusion -- References -- Universal Shift Register Designed at Low Supply Voltages in 20 nm FinFET Using Multiplexer -- 1 Introduction -- 2 Structural Design and Aspects in FinFETs -- 3 Design and Realization of 4-Bit Universal Shift Register -- 4 Simulation Results of 4-Bit Universal Shift Register -- 5 Conclusion -- References -- Predicting Graphical User Personality by Facebook Data Mining -- 1 Introduction -- 2 Related Work -- 3 Exam Dataset -- 4 My Personality Information -- 5 Results -- 6 Classification Models Assessment -- 7 Conclusion -- References -- Deep Learning in Precision Medicine -- 1 Introduction -- 2 Deep Learning in Medical Imaging -- 3 Deep Learning in Disease Detection -- 4 Deep Learning in Drug Discovery and Design."]
[{"$nulls":4},"5 Deep Learning in Personalized Healthcare -- 6 Summary -- References -- Improved Stress Prediction Using Differential Boosting Particle Swarm Optimization-Based Support Vector Machine Classifier -- 1 Introduction -- 2 Related Works -- 3 Differential Boosting Particle Swarm Optimization-Based Support Vector Machine (DBPSO-SVM) -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Validation Technique -- 4.3 Performance Metrics -- 4.4 Result Analysis -- 5 Conclusion -- References -- Closed-Loop Control of Solar Fed High Gain Converter Using Optimized Algorithm for BLDC Drive Application -- 1 Introduction -- 2 Overview of DC-DC Converter Fed BLDC Drive with PSO-PID Controller -- 3 Designing and Modelling of High Gain DC-DC Converter -- 4 Control of BLDC Drive-by Electronic Commutation -- 5 Control Algorithm -- 5.1 PSO Algorithm -- 6 Simulation Validation and Discussion of Proposed System -- 7 Conclusion -- References -- Internet of Things-Based Design of Smart Speed Control System for Highway Transportation Vehicles -- 1 Introduction -- 2 Proposed System Description -- 2.1 Cloud Server -- 2.2 Arduino Uno -- 2.3 WiFi Module -- 2.4 GSM Module -- 2.5 Motor Driver -- 2.6 GPS Module -- 2.7 LCD Display -- 3 Proposed System Implementation -- 3.1 Hardware Implementation -- 3.2 Software Implementation -- 4 Results and Discussions -- 5 Conclusion -- References -- Effective Ensemble Dimensionality Reduction Approach Using Denoising Autoencoder for Intrusion Detection System -- 1 Introduction -- 2 Related Works -- 3 Methodologies Adopted -- 3.1 Spearman's Cross-Correlation -- 3.2 Autoencoder -- 4 Proposed Work -- 4.1 Feature Encoding -- 4.2 Feature Scaling -- 4.3 Feature Selection -- 4.4 Feature Projection and Classification -- 5 Experiments and Results -- 5.1 Dataset -- 5.2 Data Preprocessing -- 5.3 Test Bed -- 5.4 Evaluation Metrics and Result Analysis."]
[{"$nulls":4},"6 Conclusion."]