Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough

Preface
Contents
Detection of Parkinson’s Disease Using Machine Learning
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Data
3.2 Data Preprocessing
3.3 Methods
3.4 Modeling
3.5 Proposed Web Application
4 Conclusion
References
East Meets West: Sentiment Analysis for Election Prediction
1 Introduction
2 Literature Review
3 Methodology
3.1 Proposed Architecture
3.2 Data Collection
3.3 Data Preprocessing
3.4 Sentiment Analysis Library for Annotation
3.5 Proposed Machine Learning Model for Sentiment Analysis
4 Results
5 Conclusion
References
Performance of Machine Learning Algorithms to Predict Right Mutual Funds of Indian Companies
1 Introduction
2 Review of Literature
3 Proposed Work
4 Experiments
4.1 Results Obtained Using Logistics Regression
4.2 Results obtained using Random Forest
4.3 Results Obtained Using Support Vector Regression
4.4 Results Obtained Using K-Nearest Neighborhood
4.5 Results Obtained Using Artificial Neural Network (ANN)
5 Conclusions
6 Future Work
Appendix A
References
Stock Market Prediction by Incorporating News Sentiments Using Bert
1 Introduction
2 Literature Survey
3 Research Methodology
4 Datasets Used
5 Data Preprocessing
6 Sentiment Analysis
7 Result and Analysis
8 Conclusion
References
Natural Selection Based Recommendation System for Personalization of Point of Interests Using Linguistic Techniques
1 Introduction
2 Objective
3 Literature Survey
3.1 Predicting Customer’s Preference in E-Commerce Recommendation System
3.2 Hybrid Personalized Recommended Model Based on Genetic Algorithm
3.3 A Genetic Algorithm for Generating Travel Itinerary Recommendation with Restaurant Selection
3.4 A Multi Criteria Review-Based Hotel Recommendation System
3.5 Personalized Book Recommendation System based on Opinion Mining Technique
3.6 Personalized Opinion-Based Recommendation
3.7 Summary
4 Methodology
5 Procedure
5.1 Part 1 – Generation of Attributes and Scoring
5.2 Part 2 – Computing Optimal Recommendation
6 Experimental Setup
6.1 Dataset Description
6.2 Preprocessing Steps
7 Results
7.1 User #1: U4INQZOPSUaj8hMjLIZ3KA
7.2 User #2: PKEzKWVFktMm2mGPjwd0Q
7.3 Summary of Results
8 Conclusion
References
Deep Learning Techniques for COVID-19 Pandemic: Application of Transfer Learning in Deep Networks
1 Introduction
2 Transfer Learning
3 The Need for Transfer Learning
4 Applications of Transfer Learning
4.1 CT Scans
4.2 Genomics
4.3 Mental Health
5 Conclusion
References
Comparison of Various Segmentation Techniques in Diabetic Retinopathy-A Review
1 Introduction
2 Deep Learning Based Method of Supervised Segmentation
3 Shallow Learning Based Method of Supervised Segmentation
4 Unsupervised Method of Segmentation
5 Discussion
6 Conclusion
References
Review on Insight into Elliptic Curve Cryptography
1 Introduction
2 Theoretical Principle
2.1 Symmetric Key Cryptography
2.2 Asymmetric Key Cryptography
3 Elliptic Curve Cryptography
4 Mathematical Preliminaries
4.1 Slope of a Line
4.2 Slope Intercept Form of a Line
4.3 Equation of a Line
4.4 Interpretation of Quadratic Graphs
4.5 Discrete Logarithm Problem
5 Methodology
5.1 Method of Diaphantus
6 Performance Analysis
7 Conclusions
References
Design and Implementation of Identifying Points on Elliptic Curve Efficiently Using Java
1 Introduction
2 Theoretical Principle
3 Methodology
3.1 Point Addition
3.2 Point Doubling
4 Performance Analysis
5 Conclusions
References
Multilingual Information Retrieval Chatbot
1 Introduction
2 Literature Review
3 Methodology
3.1 Database Creation
3.2 Text Preprocessing
4 Document Retrieval
4.1 TF-IDF (Term Frequency – Inverse Document Frequency)
4.2 Vectorization
4.3 Ranking Using Cosine Similarity
4.4 Wiki-Bot
4.5 Passage Extraction
4.6 Answer Extraction
4.7 Server
4.8 Multilingual Chatbot
5 Results
6 Limitations
7 Future Scope
8 Conclusion
References
Using Telematics Data for Traffic and Road Mishaps Prediction and Analysis of Driver Behavior
1 Introduction
2 Literature Survey
3 Dataset Description
4 Proposed Methodology
5 User Interface
6 Results and Discussion
7 Conclusion and Future Work
References
Prediction of Diabetes Using Various Feature Selection and Machine Learning Paradigms
1 Introduction
2 Literature Review
3 Dataset and Experimental Setup
4 Methodology
4.1 Data Visualization
4.2 Data Pre-processing
4.3 Feature Selection
4.4 Data Classification
5 Experimental Results
5.1 Feature Selection Algorithms Analysis
5.2 Analysis of Classification Algorithms for Predicting Diabetes
5.3 Comparative Study
6 Future Work
7 Conclusion
References
Study and Survey of Depression Analysis and Prediction in Perspective of Machine Learning Approach
1 Introduction
2 Depression Study in INDIA
3 COVID-19 Survey Analysis
4 Artificial System and Multimodal Depression Analysis
5 Existing Machine Learning Approaches
6 Prevention with Smart Care Automated Facilities
7 Conclusion
References
Matching Pattern in DNA Sequences Using Machine Learning Approach Based on K-Mer Function
1 Introduction
2 Review of Literature
3 Proposed Methodology
3.1 SVM Linear
3.2 K-mer Pattern-Matching Algorithm
4 Results and Discussion
5 Conclusion
References
Prediction of Movie Genres Based on Its Synopsis and Title Using BiLSTM
1 Introduction
2 Literature Survey
3 Approach and Solution
3.1 Data Pre-processing
3.2 Transforming the Data
3.3 Model
4 Experimental Results
5 Conclusion
References
Blockchain Based Cryptocurrencies’ Fundamental and its Comparison
1 Introduction
1.1 Asymmetrical Cryptography
1.2 Distributed IT Architecture
2 Key Benefits of Blockchain
2.1 Robustness
2.2 Decentralized Ledger
2.3 Immutable
2.4 Transparency
2.5 Automation
2.6 Autonomy
3 Types of Blockchain Networks
3.1 Public Blockchain Network
3.2 Private Blockchain Network
3.3 Semi-private Blockchain Network
4 Consensus Mechanism
5 Types of Consensus Mechanism
5.1 PoW: Proof of Work
5.2 PoS: Proof of Stake
5.3 DPoS: Delegated Proof of Stake
5.4 PoSpace: Proof of Space
5.5 PoET: Proof of Elapsed Time
6 Blockchain Architecture
7 Cryptocurrencies
7.1 Bitcoin
7.2 Ethereum
7.3 Ripple (XRP)
7.4 Polygon
7.5 Bitcoin Cash
7.6 EOS
7.7 Stellar
7.8 Litecoin
7.9 NEO
7.10 Tron
8 Conclusion
References
Hierarchical Deep Learning Network Based Framework for Disaster Event Detection
1 Introduction
2 Deep Learning Approaches to Disaster Event Detection
3 Hierarchical Deep Learning Networks (HDLN)
4 Experimental Analysis and Results Discussion
5 Conclusion and Future Work
References
Agronomy Prediction by Stream Fractal Clustering on Geo Map in Real-Time
1 Introduction
1.1 Objective
2 Applications
3 Implementation
4 Conclusion
References
Isolated Microgrid Combined Economic Emission Dispatch Using Jellyfish Search Optimizer
1 Introduction
2 Objective Function
2.1 Traditional Unit Fuel Cost Function
2.2 Emission Function
2.3 Combined Economic Emission Dispatch Function
2.4 Renewable Energy Sources Cost Function
2.5 Final Cost Function of CEED
2.6 Constraints
3 Jellyfish Search Optimizer
3.1 Jellyfish Motion
3.2 Jellyfish Motion in Ocean
3.3 Time Control Function
3.4 Jellyfish Search Optimizer Implementation
4 Result and Analysis
5 Conclusion
References
Analysis of Multiple Component Based CNN for Similar Citrus Species Classification
1 Introduction
2 Recent Work
3 Experimental Results
3.1 Dataset
3.2 Single Component Based CNN Model
3.3 Multiple Component Based CNN Model
3.4 Discussion and Conclusion
References
Facial Recognition Using Image Encoding (Alternate Method)
1 Introduction
2 Literature Survey
3 Methodology
4 Conclusion
References
An Innovative Rapid Cursor Control System Using Eye Movement for a Physically Challenged Person
1 Introduction
2 Related Works
3 System Architecture
3.1 Proposed Algorithm
3.2 Algorithm
4 System Implementation
4.1 Deep Learning
4.2 Face Recognition
5 Results and Discussions
6 Conclusion
References
Stroke Awareness ChatBot Assistant with Stroke Risk Prediction Using Demographic Data
1 Introduction
2 Proposed Methodology
2.1 Machine Learning Models
2.2 Deep Learning Model
2.3 Model Integration and User Interface
3 Result
4 Conclusion
References
Object Detection Using SSD MobileNet on Indian Dataset
1 Introduction
1.1 Object Detection
1.2 SSD with MobileNet
2 Literature Review
3 Implementation
3.1 Experimental Setup
3.2 Dataset
3.3 Labelling Images
3.4 Transfer Learning
3.5 Metrics Used
3.6 Results
4 Conclusion
References
Machine Learning Algorithms for DDoS Attack Detection in Cybersecurity
1 Introduction
2 Related Work
3 Datasets
4 Data Curation
4.1 Random Sampling
4.2 Data Cleaning/Feature Engineering
4.3 Feature Selection
5 Implementing ML Algorithms
5.1 Decision Tree
5.2 Random Forest
5.3 K Nearest Neighbour
5.4 Naïve Bayes
5.5 Stochastic Gradient Boosting
6 Results and Analysis
7 Limitations
8 Conclusion
References
Signature Extraction from Bilingual Document Images Using Blobs Method
1 Introduction
2 Related Work
3 Proposed Method
4 Results and Discussion
5 Conclusion
References
A Review of Routing Algorithms in Internet of Things
1 Introduction
1.1 Applications of IoT
1.2 Routing Issues in IoT
2 Literature Review
3 Classification of Routing Algorithms
3.1 Location-Aided Routing Algorithms
3.2 Layer Processing Routing
3.3 Data Centric
3.4 MultiPath
3.5 Mobility Routing
4 Comparative Analysis and Review of Different Routing Protocols
5 Conclusion
References
Early Identification of Rumors in Social Media: A Survey
1 Introduction
2 Rumor Classification System
2.1 Rumour Detection
2.2 Rumour Tracking
2.3 Stance Classification
2.4 Veracity Classification
3 Related Work
3.1 Social Media Rumor Detection
3.2 Multi-task Learning
3.3 Meta-learning
3.4 Unseen Domain
4 Analysis of Techniques Used
5 Data Sets for Rumor Detection
6 Open Challenges
7 Conclusion
References
Music Recommendation System Using Speech-Based Emotion Recognition
1 Introduction
2 Dataset
2.1 Emotion Recognition Dataset
2.2 Recommender Dataset
3 Method
3.1 Emotion Recognition Model
3.2 Recommender Model
4 Results
4.1 Emotion Recognition Results
4.2 Recommender Results
5 Conculsion
References
Safety and Prevention Measure to Reduce the Spread of Corona Virus at Places of Mass Human Navigation-A precautious way to Protect from Covid-19
1 Introduction
2 Literature Review
3 Proposed Method
4 Objectives
5 Methodology
6 Flow Chart of the Implementation
7 Results and Discussion
8 Conclusion
References
Contaminant Sole Disinfectant–A Methodical Approach to Reduce the Spread of Covid
1 Introduction
2 Existing Method
3 Proposed Method
4 Aim and Objective
5 Methodology
6 Flow Chart of the Implementation
7 Results
8 Conclusion
References
Effective Monitoring of Onion Production Stored in Ware House to Reduce the Commercial Commodity Wastage and Improve Reutilization
1 Introduction
2 Existing Method
3 Proposed Method
4 Objectives of the Proposed Work
5 Methodology
6 Flow Chart of the Implementation
7 Results and Discussion
8 Conclusion
References
Covid-19 Tracker App Using Android Based Application Program to Track the Covid-19 Cases All Over the Countries
1 Introduction
2 System Design
2.1 APIs
2.2 Importing Libraries
3 Implementation and its Advanced Methods
4 Implementation Results
4.1 Preliminary Setup
4.2 Result
5 Related Work
6 Conclusion
References
Self Defence System for Women Safety with Location Tracking and SMS Alerting Through GPS and GSM Networks
1 Introduction
2 Existing System
2.1 Objectives
3 Methodology
4 Software and Hardware
5 Experimental Results
6 Conclusion and Future Scope
References
Raspberry Pi Based Crowd and Facemask Detection with Email and Message Alert
1 Introduction
2 Existing System
3 Methodology
4 Software and Hardware
5 Experimental Results
6 Conclusion and Future Work
References
Person Identity and Gender Estimation Using Gait Biometrics: A Review
1 Introduction
2 Gait Biometrics
2.1 Model-Based Approach
2.2 Model-Free Approach
3 Framework for Gait Recognition
3.1 Gait Acquisition
3.2 Pre-processing
3.3 Feature Extraction
3.4 Feature Selection
3.5 Classification
4 Gait Datasets
5 Gender Determination
6 Challenges in Gait Recognition
6.1 Occlusion
6.2 View and Appearance Changes
7 Future Scope
7.1 Creation of Dataset
7.2 View Variations
7.3 Change in Appearance
7.4 Adaptive Models for Background
7.5 Reducing Feature Space
8 Conclusion
References
Design and Development of a CNN Model Based Android Application for Detection of Plant Leaf Diseases In-Home Grown Plants in Saudi Arabia
1 Introduction
1.1 Purpose of the Study and Work Methods
1.2 Methodology
2 Technical Specification
3 System Design Analysis
3.1 System Architecture Diagram
4 Details of Implementation
4.1 Application Interface
5 Results and Discussion
6 Conclusion
References
Melanoma Skin Segmentation Process Using PCA and Morphological Methods
1 Introduction
2 Literature Survey
3 Results and Discussions
4 Analysis
5 Conclusion
References
Safety Locker System with Image Identification by Using IOT
1 Introduction
2 Literature Survey
3 Proposed System and Its Implementation
4 Conclusion and Future Scope
References
Simultaneous Scheduling of Machines, Tools and Jobs in Multimachine Flexible Manufacturing System by Using Black Widow Optimization Algorithm
1 Introduction
2 Literature Review
3 Problem Formulation
3.1 Problem Definition
3.2 FMS Environment
3.3 Assumptions and Constraints
4 Steps in BWO Algorithm
4.1 Initial Population
4.2 Procreate
4.3 Cannibalism
4.4 Mutation
4.5 Convergence
4.6 Parameter Setting
4.7 Pseudo Code of BWO Algorithm
4.8 Flow Chart
5 Results and Discussion
6 Conclusion
References
Design and Development of Voice and Gesture Controlled Multitasking Robot
1 Introduction
2 Proposed System
2.1 Arrow Keys
2.2 Terminal Window
2.3 Accelerometer
2.4 Button and Slider
2.5 Voice Contro
2.6 Working Principle
3 Results
4 Conclusion and Future Scope
References
Novel Method for the Segmentation of Brain Images Using the Fcm Clustering Approach as Well as Rough Set
1 Introduction
2 Literature Survey
2.1 FCM Clustering Algorithm
2.2 Theory of Rough Sets
3 Segmentation of Brain Images to use the FCM Clustering Method and a Preliminary Set
3.1 Segmentation of the Brain Image for Development and Application
3.2 Pre-Processing
3.3 On the Basis of FCM, a Fundamental Understanding of Table Construction and Region Division
3.4 Computation of Attribute Weight and Simplicity of Regional Difficulties Involved in Connection with Value Reduction
4 Results and Discussion
5 Conclusion
References
IoT Based Live Monitoring Public Transportation Security System by Using Raspberry Pi, GSM& GPS
1 Introduction
2 Motivation for the Project
3 Proposed System
4 Block Diagram
4.1 Working Principle
5 Software Implementation
5.1 VNC Viewer
5.2 PYTHON
6 Project Results
7 Conclusion
References
Integrating of Aquaculture and Agriculture by Using IoT Technology
1 Introduction
2 Proposed System
3 Design Flow
4 Results
5 Conclusion
References
Study of Mechanical Properties on Hybrid Fibre Reinforced Concrete
1 Introduction/Literature Review
2 Materials
3 Experimental Program
4 Results and Discussion
4.1 Compression Strength Test
4.2 Tensile Strength Test
4.3 Flexural Strength Test
4.4 Regression Analysis
5 Conclusions
References
Experimental Investigation on Effect of Magnetic Water on Concrete by Partial Replacement of Cement with Steel Slag and Quartz Powder
1 Introduction
2 Literature Review
3 Experimental Investigation
3.1 Mix Proportion
3.2 Casting of Specimens
4 Results
4.1 Compressive Strength
4.2 Split Tensile Strength
4.3 Flexural Strength for Beams
5 Conclusion
References
Enhanced Security for Smart Door Using Biometrics and OTP
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Results
5 Conclusion
References
An Enhanced Image Processing Model for Earlier Detection and Analysis of Diabetic Foot Hyperthermia Through Cognitive Approach
1 Introduction
2 Background
3 Methodology
4 Conclusion
References
Intelligent Greenhouse Monitoring and Automatic Controlling Protocol by Using Python on Raspberry Pi
1 Introduction
1.1 Objectives
1.2 Existing System
2 Literature Analysis
3 Methodology
3.1 Block Diagram
3.2 Hardware Implementation
3.3 Software and IOT Structure Implementation
4 Results
5 Conclusion and Future Work
5.1 Limitations of Proposed System
References
Design of Smart Classroom in Educational Institutes for Smart and a Sustainable Campus Based on Internet of Things
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Raspberry Pi
3.2 Face Recognition Camera
3.3 Sensors
4 Results
5 Conclusion
References