Smart Computing Techniques and Applications: Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 2 (Smart Innovation, Systems and Technologies, 224)

✍ Scribed by Suresh Chandra Satapathy (editor), Vikrant Bhateja (editor), Margarita N. Favorskaya (editor), T. Adilakshmi (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 801
• Category: Library

✦ Synopsis

This book presents best selected papers presented at the 4th International Conference on Smart Computing and Informatics (SCI 2020), held at the Department of Computer Science and Engineering, Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front which focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.

✦ Table of Contents

Conference Committees
Preface
List of Special Sessions Collocated with SCI-2020
Contents
About the Editors
An Intelligent Tracking Application for Post-pandemic
1 Introduction
2 Literature Survey
3 Proposed System
4 Result and Discussion
References
Investigation on the Influence of English Expertise on Non-native English-Speaking Students’ Scholastic Performance Using Data Mining
1 Related Literature
1.1 Language Expertise and Scholastic Accomplishment
2 Data Mining Process
3 Data Preparation
4 Data Selection
5 Modeling
6 Discussion and Conclusion
References
Machine Learning Algorithms for Modelling Agro-climatic Indices: A Review
1 Introduction
2 Machine Learning for Crop Yield Forecasting
3 Machine Learning for Crop Monitoring and Management
4 Research Directions and Challenges
5 Conclusion
References
Design of Metal-Insulator-Metal Based Stepped Impedance Square Ring Resonator Dual-Band Band Pass Filter
1 Introduction
2 Stepped Impedance SRR Design
3 Simulation Results
4 Conclusion
References
Covid-19 Spread Analysis
1 Introduction
2 Literature Survey
2.1 Symptoms
2.2 No Symptoms
2.3 Coronavirus Modes of Spread
2.4 Importance of Social Distance and Self-isolation
3 Existing System
4 Proposed System
5 Proposed System
6 Conclusion
References
Social Media Anatomy of Text and Emoji in Expressions
1 Introduction
2 Literature Review
3 Proposed Approach
4 Implementation and Results
4.1 Category-Segment Analysis
4.2 Category Comparative Analysis
4.3 Aggregated Anatomy of Categories
5 Conclusion
References
Development of Machine Learning Model Using Least Square-Support Vector Machine, Differential Evolution and Back Propagation Neural Network to Detect Breast Cancer
1 Introduction
2 Literature Survey
3 System Architecture
4 Methodology
4.1 Dataset Attributes
5 Module 1: Missing Value Replacement and Feature Scaling of Attributes
6 Module 2: Training Neural Network using LS-SVM and DE
7 Module 3: Training Neural Network Using Back Propagation Neural Network (BPNN)
8 Module 4: Tenfold Cross Validation Method:
9 Module 5: Experimental Results and Analysis
10 Conclusion
References
Distributed and Decentralized Attribute Based Access Control for Smart Health Care Data
1 Introduction
2 Literature Survey
2.1 Access Control
2.2 Blockchain
2.3 Smart Health Care on Cloud
2.4 Limitations of Existing System
3 Proposed Methodology
4 Results
5 Conclusion
6 Future Scope
References
Dynamic Node Identification Management in Hadoop Cluster Using DNA
1 Introduction
2 Hadoop Cluster
3 DHCP
4 DNA
5 Literature Survey
6 Problem Statement
7 Related Work
8 Result Analysis
9 Conclusion
References
A Scientometric Inspection of Research Based on WordNet Lexical During 1995–2019
1 Introduction
2 Data and Methodology
3 Analytical Study
3.1 Year-Wise Publications
3.2 Country-Wise Publications
3.3 Top Organization Publications
3.4 Author-Wise Publications
4 Conclusions
References
Sentiment Analysis of an Online Sentiment with Text and Slang Using Lexicon Approach
1 Introduction
2 Literature Review
3 Proposed Approach
4 Demonstration for Score Calculation
4.1 Experimental Setup
4.2 Results Evaluation
5 Conclusion
6 Limitations and Future Work
References
Fuzzy Logic Technique for Evaluation of Performance of Load Balancing Algorithms in MCC
1 Introduction
2 Literature Review
2.1 Software Quality Assessment Based on Fuzzy Logic
2.2 Deriving Quality Metris for Cloud Computing Systems
2.3 Dynamic Round Robin (DRR)
2.4 Load Balancing in Cloud Computing
2.5 Quality Metrics
3 Proposed Model for the Evaluation and Comparison of Load Balancing Algorithms
4 Conclusion and Future Work
References
Impact of Bio-inspired Algorithms to Predict Heart Diseases
1 Introduction
2 Related Work
3 Methodology
3.1 Optimization Techniques
3.2 Classification
4 Experiments and Results
5 Conclusion and Future Scope
Reference
Structured Data Extraction Using Machine Learning from Image of Unstructured Bills/Invoices
1 Introduction
2 Related Works
3 Proposed Structured Data Extraction
4 Results Analysis
5 Conclusion
References
Parallel Enhanced Chaotic Model-Based Integrity to Improve Security and Privacy on HDFS
1 Introduction
1.1 Data-Information-Knowledge-Wisdom-Decision (DIKWD) Pyramid
1.2 Big Data
1.3 Hadoop
2 Enhanced Quadratic Map
3 Proposed Model
3.1 Big Data Security System
3.2 Proposed Parallel Processing Authentication Model
4 Experimental Results
5 Conclusion
References
Exploring the Fog Computing Technology in Development of IoT Applications
1 Introduction
2 Motivation
3 Layered Framework of IOT and FC
3.1 Layered Framework of IOT
3.2 Layered Architecture of FC
4 Applications of FC and IOT
5 Load Balancing in FC Environment
6 Projected Methodology
7 Open Issues and Encouragements
8 Conclusion and Future Scope
References
NavRobotVac: A Navigational Robotic Vacuum Cleaner Using Raspberry Pi and Python
1 Introduction
2 Related Work
3 NavRobotVac Design
4 Functionality
4.1 Scanning Algorithm
4.2 Cleaning Algorithm
4.3 Obstacles Avoidance
5 Results and Discussions
6 Conclusion and Future Scope
References
A Hybrid Clinical Data Predication Approach Using Modified PSO
1 Introduction
2 Related Work
3 Proposed DSS Support System for Clinical Data Predication Approach Using C4.5 with PSO
4 Experiments and Result
5 Conclusions
References
Software Defect Prediction Using Optimized Cuckoo Search Based Nature-Inspired Technique
1 Introduction
2 Parallel Works
3 Proposed Modified Cuckoo Search Technique.
4 Results and Discussion
5 Conclusion
References
Human Facial Expression Recognition Using Fusion of DRLDP and DCT Features
1 Introduction
2 Methodology
2.1 Local Directional Pattern
2.2 Facial Expression Recognition Using DRLDP
2.3 Discrete Cosine Transformation
2.4 Support Vector Machine
2.5 Classification
2.6 Fusion
3 Experiments and Results
4 Conclusion and Future Scope
Reference
Brain Tumor Classification and Segmentation Using Deep Learning
1 Introduction
1.1 Mask R-CNN Architecture
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion
References
A Hybrid Approach Using ACO-GA for Task Scheduling in Cloud
1 Introduction
2 Evolutionary Algorithm for Task Scheduling (TS) in Cloud
2.1 Genetic Algorithm (GA) for Task Scheduling (TS)
2.2 Ant Colony Optimization (ACO) for Cloud TS
3 Proposed Hybrid ACO-GA Approach for Task Scheduling (TS) in Cloud
4 Implementation and Result Analysis
5 Conclusions
References
K-Means Algorithm-Based Text Extraction from Complex Video Images Using 2D Wavelet
1 Introduction
2 Proposed Algorithm
3 Simulated Result Analysis
4 Conclusion
References
Opinion Mining-Based Conjoint Analysis of Consumer Brands
1 Introduction
2 Literature Review
3 Proposed Approach
4 Experimental Setup
4.1 Data Details
4.2 Text Preprocessing and Sentiment Score Computation
5 Results and Discussion
6 Conclusions and Future Directions
References
Task Scheduling in Cloud Using Improved Genetic Algorithm
1 Introduction
2 Task Scheduling Problem in Cloud
3 Improved Genetic Algorithm (I-GA) for Scheduling
3.1 Encoding and Decoding of Chromosomes
3.2 Generation of Initial Population
3.3 Fitness Function
3.4 Genetic Manipulation
3.5 I-GA Reschedule
4 Simulation Results
5 Conclusion
References
Sentiment Analysis for Telugu Text Using Cuckoo Search Algorithm
1 Introduction
2 Related Work
3 Dataset
4 Methodology
4.1 Pre-processing
4.2 Clustering
5 Result
6 Conclusion
References
Automation of Change Impact Analysis for Python Applications
1 Introduction
2 Literature Survey
2.1 Change Impact Analysis
2.2 Existing Tools
3 Methodology
3.1 Proposed Work
3.2 Proposed Algorithm
3.3 Implementation Steps
3.4 Performance Metrics
4 Results
4.1 Gensim
4.2 Zulip
4.3 Bokeh
4.4 Result
5 Conclusion and Future Work
References
Enhancing Item-Based Collaborative Filtering for Music Recommendation System
1 Introduction
2 Related Work
2.1 Demographic-Based Model
2.2 Collaborative Filtering (CF) Model
2.3 Content-Based Model
3 Enhancing Item-Based Collaborative Model
3.1 Combining KNN with Item-Based-CF Model
3.2 Combining Item-Based CF with Context
4 Results
5 Conclusion and Future Scope
References
Deep Learning-Based Enhanced Classification Model for Pneumonia Disease
1 Introduction
2 Literature Review
3 Proposed Model
4 Result and Discussion
5 Conclusion and Future Work
References
Automatic Fake News Detector in Social Media Using Machine Learning and Natural Language Processing Approaches
1 Introduction
2 Related Work
3 System Design
3.1 Workflow Model
3.2 Process Flow
3.3 Dataset
3.4 Vectorisation
3.5 Modelling the Classifiers
4 Experiments and Results Discussion
5 Conclusions and Future Scope
References
A Novel Method for Optimizing Data Consumption by Enabling a Custom Plug-In
1 Introduction
2 Dynamic Content
3 Mechanism of Dynamic Content
4 Statistics for Internet Data Usage
5 Custom Plug-In
6 Advantages
7 Conclusion
8 Future Work
References
An Effective Mechanism for the Secure Transmission of Medical Images Using Compression and Public Key Encryption Mechanism
1 Introduction
2 Related Works
3 Elliptic Curve Cryptography
4 Proposed System
4.1 Send Phase
4.2 Receive Phase
5 Results and Discussion
5.1 Performance Analysis
6 Conclusion
References
A Systematic Survey on Radar Target Detection Techniques in Sea Clutter Background
1 Introduction
2 General Model Blocks of Target Detection
3 Review of Related Work
4 Conclusion
References
An Ensemble Model for Predicting Chronic Diseases Using Machine Learning Algorithms
1 Introduction
2 Machine Learning Algorithms
3 Related Work
4 Methodology
5 Experimental Results
6 Conclusion and Future Scope
Reference
COVID-19 Face Mask Live Detection Using OpenCV
1 Introduction
2 Proposed Methodology
2.1 Extract the Region of Interest
3 Results and Analysis
4 Conclusion and Future Scope
References
Chest X-Ray Image Analysis of Convolutional Neural Network Models with Transfer Learning for Prediction of COVID Patients
1 Literature Review and Shortcomings
2 Overall Architecture
2.1 Dataset Preparation
3 Convolutional Neural Network
3.1 CNN Models
3.2 Dataset Exploratory Analysis
4 Results and Discussion
4.1 Implementation Setup
4.2 Performance Analysis
5 Conclusion
References
Predicting Customer Loyalty in Banking Sector with Mixed Ensemble Model and Hybrid Model
1 Introduction
2 Literature Survey
2.1 Data Mining Techniques
2.2 Ensemble Algorithms
2.3 Artificial Neural Network
2.4 Hybrid Models
3 System Architecture
3.1 Data Pre-processing
3.2 Feature Engineering
3.3 Model Creation
3.4 Evaluation of Models
4 Implementation and Evaluation
5 Conclusion and Future Work
References
Design Patterns and Microservices for Reengineering of Legacy Web Applications
1 Introduction
2 Performance Scaling Using Singleton Pattern-Based Reliable Database Connections
3 Providing Unified Interface for Multiple Remittence Options Using Facade Pattern
4 Saving the Result Sets in Various File Formats Using Strategy Pattern Ensuring Extendibility
5 Keeping Only One Database Active Using Factory Method Ensuring Extendibility
6 Integration of Agile Programming Into Pattern-Oriented FMS
7 Microservices
8 Migrating Legacy Financial Management Systems into Modernization
9 Strangler Fig Application
10 Results
11 Conclusions and Future Work
References
A Comparative Study on Single Image Dehazing Using Convolutional Neural Network
1 Introduction
2 Multiple Images-Based Dehazing Methods
3 Single Image Dehazing by Prior-Based Methods
4 Work on DeHazing on Deep Neural Networks
5 Discussion and Analysis
6 Conclusion
References
Plasmodium falciparum Detection in Cell Images Using Convolutional Neural Network
1 Related Works
2 Introduction
3 Methods
3.1 Dataset Description
3.2 Model Architecture
4 Result
5 Conclusion
References
An Online Path Planning with Modified Autonomous Parallel Parking Controller for Collision Avoidance
1 Introduction
2 Problem Description
3 Sensor-Based Online Parking System
4 Simulation Results
4.1 CLMR Model
4.2 Environment Simulation
5 Conclusion
References
Real-Time Proximity Sensing Module for Social Distancing and Disease Spread Tracking
1 Introduction
2 Literature Survey
3 Methodology of the Proposed System
3.1 Hardware
3.2 NTSA Algorithm Integrated to MCU
3.3 Software Architecture
4 Experimental Results
5 Conclusion
References
Automatic Depression Level Analysis Using Audiovisual Modality
1 Introduction
2 Related Work
3 Framework
3.1 Overview
3.2 Visual Module
3.3 Audio Module
4 Experimental Results
4.1 AVEC 2014 Dataset
4.2 Experimental Setting
4.3 Performance Comparison
5 Conclusion
References
A Notification Alert System with Heartbeat and Temperature Sensors for Abnormal Health Conditions
1 Introductions
2 Literature Survey
3 Proposed System
3.1 Launching of System
3.2 Algorithm Description
3.3 Flow Chart
4 Implementation
4.1 Setup of NodeMCU
4.2 Pulse Monitoring
4.3 Evaluation
4.4 Messaging Service
5 Results and Discussion
6 Conclusion and Future Scope
References
Recommender System for Resolving the Cold Start Challenges Using Classification
1 Introduction
1.1 New User Cold Start Problem
1.2 New Item Cold Start Problem
2 Proposed Work
2.1 Dataset Description
2.2 Data Exploration
2.3 Statistics Calculation
2.4 Feature Observation
2.5 Train-Test Splitting
2.6 Correlation Coefficient
3 Result Analysis
3.1 Evaluation Metrics
3.2 Comparison with Different Models
4 Conclusion
References
A Skyline Based Technique for Web Service Selection
1 Introduction
2 Related Work
3 Background
4 Experiment
5 Results and Discussion
6 Conclusion
References
Novel Trust Model to Enhance Availability in Private Cloud
1 Introduction
1.1 Availability in Cloud Computing
2 Trust
2.1 Definition of Trust
2.2 Nature of Trust
2.3 Principles of Trust
2.4 Trust in Cloud Computing
3 Trust Evaluation Models for Cloud
4 Proposed Trust Model
4.1 Methodology
4.2 Model Framework
4.3 Trust Evaluation Process
4.4 Trust Evaluation Algorithm
5 Results and Discussions
6 Conclusions
References
Feature Impact on Sentiment Extraction of TEnglish Code-Mixed Movie Tweets
1 Introduction
2 Related Work
3 Corpus Creation and Annotation
3.1 Corpus Creation
3.2 Data Annotation
3.3 Inter Annotator Agreement
4 Machine Learning-Based Approach
5 Results
6 Conclusion and Future Work
References
Linear and Ensembling Regression Based Health Cost Insurance Prediction Using Machine Learning
1 Literature Review and Shortcomings
2 Overall Architecture
2.1 Dataset Preparation
3 Feature Analysis
3.1 Anova Test Analysis
3.2 Dataset Exploratory Analysis
4 Results and Discussion
4.1 Implementation Setup
4.2 Performance Analysis
5 Conclusion
References
An Adaptive Correlation Clustering-Based Recommender System for the Long-Tail Items
1 Introduction
2 Related Work
2.1 Adaptive Clustering
2.2 Correlation Based Clustering
2.3 Proposed Adaptive Correlation Clustering
3 Experimental Settings
3.1 The Derived Variables
4 The Proposed Method
4.1 Method to Predict Rating Value for a Given UserId and MovieId (Fig. 1)
4.2 o Generate Recommendation List for a Given UserId (Fig. 2)
5 Experimental Results
5.1 Rating Prediction for 105 Users (Userids 751–855)
5.2 Rating Prediction for 20 Movieids
5.3 Recommendation List
6 Conclusion
Appendix
References
Plant Leaf Identification Using HOG and Random Forest Regressor
1 Introduction
2 Literature Review
3 Overview of Image Identification Method
3.1 Histogram of Oriented Gradients (HOG)
3.2 Random Forest Algorithm with Python and Sci-Kit-Learn Library
4 Dataset and Experiment
5 Performance Study
6 Conclusion
Reference
Deep Learning Based Facial Feature Detection for Ethnicity Recognition
1 Introduction
2 Related Works
3 Proposed Methodology
4 Results and Discussion
5 Conclusion
References
Scanning Array Antenna Radiation Pattern Design Containing Asymmetric Null Steering Based on L-ASBO
1 Introduction
2 Literature Survey
3 Linear Array Antenna
4 Objective Function Definition
5 Proposed Method
5.1 L-ASBO: Learning ASBO
6 Experimental Results
7 Conclusion
Reference
A Modified Novel Signal Flow Graph and Memory-Based Radix-8 FFT Processor Design
1 Introduction
2 Modified Signal Flow Graph of Radix 8 FFT
3 Memory-Based FFT Architecture
3.1 Conflict-Free Address Strategy
4 Results and Comparison
5 Conclusion
References
Vouch augmented Program Courses Recommendation System for E-Learning
1 Introduction
2 Shortcomings of the Existing LMS
3 Objectives of the Proposed Research
3.1 To Quantify the Level of Focus (LoF) for a Learner in a Time Series
3.2 To Enhance the Capabilities of Self-learning in the Students
3.3 To Fiddle the Complexity of the Course Contents with the Learning Curve of the Aspirant Learner
3.4 To Qualitatively Model the Interaction Scenarios Between the Host and the Participant for Realizing the Program Outcomes
3.5 To Design and Develop a Technology Fabric to Offer Wide Variety of Use Cases for All the Actors
3.6 To Evolve a Vouching-Based Online Teaching Learning Technology Platform with Suitable Metrics and Measures
4 Proposed Agent-Based Reinforced Learning Model (vLMS)
5 Technology Stack to Implement the vLMS
6 Conclusions
References
Heart Disease Prediction Using Extended KNN (E-KNN)
1 Introduction
2 Literature Review
3 Approach
4 Dataset
4.1 Chi-Squared Value
4.2 Extended K-Nearest Neighbor
4.3 K-Nearest Neighbor
5 Results and Discussion
6 Conclusion
References
Prediction Analysis of Diabetes Using Machine Learning
1 Introduction
2 Literature Survey
3 Methodology
3.1 Proposed Method
3.2 Algorithms
4 Implementation
4.1 Technologies Used
4.2 Logistic Regression
4.3 Support Vector Machine
5 Results and Discussion
6 Conclusion
References
Enhanced Goodput and Energy-Efficient Geo-Opportunistic Routing Protocol for Underwater Wireless Sensor Networks
1 Introduction
2 Related Work
3 Geo-Opportunistic Routing Protocol Design
3.1 Packet Forwarding Prioritization
3.2 Forwarding Set Determination Algorithm
4 Performance Metrics Evaluation of the Proposed Routing Protocols
4.1 Network Goodput
4.2 Energy Consumption
5 Conclusion
References
Early Detection of Pneumonia from Chest X-Ray Images Using Deep Learning Approach
1 Introduction
2 Review of Literature
3 Research Gap, Motivation of Research, Research Objective and Organization of the Paper
3.1 Research Gap
3.2 Motivation of Research
3.3 Research Objective
3.4 Organization
4 Methods and Materials
4.1 Method Used
4.2 Materials Used
4.3 Pre-processing of the Data
5 Development of CNN Detection Model
6 Simulation-Based Experiments
7 Analysis of the Results
8 Conclusions
References
Detection of Network Anomaly Sequences Using Deep Recurrent Neural Networks
1 Introduction
2 Related Work
3 Pre Processing
4 Methodology
5 Results and Discussions
6 Conclusion and Future Work
References
Driver Drowsiness Detection Using Convolution Neural Networks
1 Introduction
2 Existing Approaches
3 Proposed Approach
4 Experimental Work
5 Experimental Results
6 Conclusions
References
Glaucoma Detection Using Morphological Filters and GLCM Features
1 Introduction
2 Proposed Framework for Diagnosis of Glaucoma
2.1 Pre-processing
2.2 Features Extraction and Classification
3 Results and Discussion
3.1 Automated Processing of Retinal Images
3.2 Characteristic Extraction
3.3 Performance Analysis of Classifiers
4 Conclusion
References
Analysis of Encryption Algorithm for Data Security in Cloud Computing
1 Introduction
2 Literature Survey
3 Proposed Method of Hybrid Encryption Model
3.1 Two-Tier Hybrid Model
3.2 Three-Tier Hybrid Model
4 Empirical Evaluation of the Method and Results
5 Conculsion
References
A Machine Learning Approach in Data Perturbation for Privacy-Preserving Data Mining
1 Introduction
2 Literature Survey
2.1 Related Work
2.2 Overview of Noise Addition Schema in Decision Tree
3 Privacy-Preserving Perturbation
3.1 Construction of Training Dataset
3.2 Model Planning
3.3 Model Building
3.4 Algorithm for Model Perturbation
3.5 Distributed Data Mining Architecture
4 Experiments and Results
5 Conclusion
References
IoT Service-Based Crowdsourcing Ecosystem in Smart Cities
1 Introduction
2 Model Introduction
3 Algorithm for Saving Energy
3.1 Performance and Cost Matrices
3.2 Numerical Results and Analysis
4 Conclusions
References
On Interior, Exterior, and Boundary of Fuzzy Soft Multi-Set Topology
1 Introduction
2 Some Topological Concepts Related to Fuzzy Soft Multi-Set Topology
3 Conclusion
References
Early Prediction of Pneumonia Using Convolutional Neural Network and X-Ray Images
1 Introduction
2 Literature Survey
3 Dataset Description
3.1 Data Collection
3.2 Data Preprocessing
4 Proposed Algorithm
4.1 Model Building
4.2 Application Building
5 Results and Conclusion
References
Predicting the Energy Output of Wind Turbine Based on Weather Condition
1 Introduction
2 Literature Survey
2.1 Proposed Solution
3 Theoritical Analysis
3.1 Spyder
4 Experimental Investigation
4.1 Data Preprocessing
4.2 Model Building
4.3 Data Visualization
5 Proposed Architecture
6 Results and Conclusions
References
A Study and Early Identificatıon of Leaf Diseases in Plants Using Convolutional Neural Network
1 Introduction
1.1 Why no to Manual Detection of Disease? [7]
1.2 How Detection Through Machine Learning Justifies the Process! [7]
2 Literature Review
3 Dataset Description
4 Proposed Methodology
5 Convolution Layer
6 Non-Linear Layer
7 Pooling Layer
8 Fully Connected Layer
9 Results and Discussion
10 Conclusion
References
Distributed and Energy Balanced Routing for Heterogeneous Wireless Sensor Network
1 Introduction
2 Literature Survey
3 Proposed Method
4 Simulation Results
5 Conclusion
References
ESRRAK-Efficient Self-Route Recovery in Wireless Sensor Networks Using ACO Aggregation and K-Means Algorithm
1 Introduction
2 Literature Survey
3 ESRRAK Design and Implementation
3.1 Network Formation
3.2 Minimum K-Hop Calculation
3.3 Path Repair
3.4 Cluster Head Selection
3.5 Data Aggregation and Routing
4 Energy Performance Modeling
5 Results and Discussion
6 Conclusion
Reference
An Explanation of Personal Variations on the Basis of Model Theory or RKT
1 Introduction
2 Consciousness and Actions
3 Explanation for the Variations in the Actions Performed
4 Conclusion
References
Fingerprint Enhancement Using Fuzzy Logic and Deep Neural Network
1 Introduction
1.1 Proposed Method
1.2 Pre-processing
1.3 Fuzzy Logic
2 Deep Neural Network Classification
2.1 Feature Extraction GLCM and DWT2
3 Results
3.1 Receiver Operating Characteristics (ROC)
3.2 Equal Error Rate (ERR)
4 Conclusion
Gaussian Filter-Based Speech Segmentation Algorithm for Gujarati Language
1 Introduction
2 Methodology
2.1 Gujarati Language
2.2 Syllable Unit
2.3 Text Database Collection and Speaker Selection (Speech Database)
2.4 Labeling and Speech Corpus
3 Speech Segmentation at Syllable Level
3.1 Speech Segmentation Using Gaussian Filter Method: [5]
4 Experimental Results
5 Conclusion
References
Smart Farming Technology with AI & Block Chain: A Review
1 Introduction
2 Literature Review
3 Existing System
4 Proposed System
5 Expected Result
6 Conclusion
References
Design and Development of Electronic System for Predicting Nutrient Deficiency in Plants
1 Introduction
2 Literature Review
3 Scope of Research
3.1 Objectives
4 Proposed System
5 Expected Outcome
6 Conclusion
References
Classification of Hyperspectral Images with Various Spatial Features
1 Introduction
2 Literature Survey
3 Existing System
4 Purposed System
5 Algorithm
6 Bayesian Relevance Feedback
7 Expected Results
8 Conclusion
References
Detecting and Classifying Various Diseases in Plants
1 Introduction
2 Literature Review
3 Existing System
4 Proposed System
4.1 Steps Required for Proposed System
5 Algorithms
6 Expected Results
7 Conclusion
References
Offline Handwritten Dogra Script Recognition Using Convolutional Neural Network
1 Introduction
2 Related Work
3 Dataset
3.1 Acquisition of Input Image
3.2 Pre-Processing
3.3 Segmentation
4 Methodology
5 Experimental Results
6 Conclusion
References
“Device Design of 30 and 10 nm Triple Gate Single Finger Fin-FET for on Current (ION) and off Current (IOFF) Measurement”
1 Introduction
1.1 Review of Literature
2 MOSFET and FIN-FET Structure
2.1 Threshold Voltage
2.2 Overdrive Voltage
3 Device Design of FIN-FET
4 Conclusion
References
Fact Check Using Multinomial Naive Bayes
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Basic Textual Fact Check
3.2 OCR Functionalities
3.3 Combining and Deploying the Program Over a 24/7 Working Server
3.4 System Goals
3.5 Overall Design
4 Proposed Algorithm
4.1 Multinomial Naive Bayes
4.2 Improvising the Bayes Classifier
5 Experimental Results
6 Advantages
7 Disadvantages
8 Conclusion
References
Author Index