Artificial Intelligence and Natural Algorithms

Cover
Title
Copyright
End User License Agreement
Contents
Preface
List of Contributors
Data Computation: Awareness, Architecture and Applications
Vani Kansal1,* and Sunil K. Singh2
INTRODUCTION
SURVEY STRATEGIES
Big Data
Cloud Computing
Pervasive Computing
Reconfigurable Computing
Green Computing
EMBEDDED COMPUTING
Parallel Computing
Fog Computing
Internet of Things and Computing Technology
Blockchain
NGS-Throughput
Digital Image Processing
E-commerce
Healthcare Informatics and Clinical Research
SURVEY OUTCOMES
DATA COMPUTING CHALLENGES
RELIABLE INDUSTRY 4.0 BASED ON MACHINE LEARNING AND IOT FOR ANALYZING
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Different Techniques of Data Fusion in Internet of Things (IoT)
Harsh Pratap Singh1,*, Bhaskar Singh2, Rashmi Singh3 and Vaseem Naiyer3
INTRODUCTION
Accumulating and Sending Information
Receiving and Acting on Information
Doing Both
Key Challenges of IoT
DATA FUSION ARCHTECHTURE
Centralized Fusion Architecture
Distributed Fusion Architecture
Hybrid Fusion Architecture
LITERATURE REVIEW
MULTI-SENSOR DATA FUSION
Fuzzy Logic-Based Data Fusion
Bayesian-based Technique
Markov Process-based Technique
Demspter-Shafer Theory Based Technique
Thresholding Techniques and Others
APPLICATION OF IOT
Smart Environment
Health Care
IoT in Agriculture
Associated Industry
Smart Retail
Smart Energy and Smart Grid
Traffic Monitoring
Smart Parking
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Role of Artificial Intelligence in Medicine and Health Care
Upasana Pandey1,* and Arvinda Kushwaha1
INTRODUCTION
RECENT APPLICATIONS OF AI IN MEDICINE AND HEALTH CARE
Diagnosis of Disease and Prediction
In Reduction of Complications
Taking Care of Patients Under Treatment
In Assisting to Improve the Success Ratio of Treatment
Living Assistance
Biomedical Information Processing
AI in Biomedical Research
AI in Medical Imaging
LATEST AI TECHNIQUES IN MEDICAL SCIENCES
EFFECTS OF USAGE OF AI TECHNIQUES
Fast and Accurate Diagnostics Reduce the Mortality Rate
Reduce Errors Related to Human Fatigue
Decrease in Medical Cost
AREA OF CONCERNS
Care of Old Age People
Replacement of Humans with AI Techniques
Data Collection and its Security
RECENTLY USED AI-BASED MEDICAL TOOLS
CONCLUSION
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Threat Detection and Reporting System
Devika Bihani1,*, Saransh Sharma1 and Harshit Jain1
INTRODUCTION
RELATED WORK
PROPOSED METHOD
Weapon Detection
Violence Detection
Medical Emergency Detection
DATASET & PSEUDOCODE
PSEUDOCODE
CONCLUSION
CURRENT & FUTURE DEVELOPMENTS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Offbeat Load Balancing Machine Learning based Algorithm for Job Scheduling
Anand Singh Rajawat1,*, Kanishk Barhanpurkar2 and Romil Rawat2
INTRODUCTION
RELATED WORK
PROPOSED WORK
HYBRID APPROACH
PRODUCE POPULATION (PP)
FITNESS FUNCTION (FF)
NATIVE PREEMINENT (NP)
CROSSWAY
UPDATE GLOBAL PREEMINENT
RANDOM FOREST TRAINING
PROPOSED TRAINING ALGORITHM
PROCEDURE
PROPOSED ALGORITHM
IMPROVED GENETIC ALGORITHM WITH HYBRID ALGORITHM (HA (GA, KMC AND RF))
LOAD BALANCING UNDER CLOUD COMPUTING ENVIRONMENT
RELEVANT OPERATIONS OF GA
SIMULATION RESULT ANALYSIS
RESULT ANALYSIS
Conclusion and Future Work
FUTURE SCOPE
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
A Pattern Optimization for Novel Class in Multi-Class Miner for Stream Data Classification
Harsh Pratap Singh1,*, Vinay Singh2, Divakar Singh3 and Rashmi Singh4
INTRODUCTION
RELATED WORK FOR STREAM CLASSIFICATION
PROPOSED ALGORITHM FOR PATTERN CLASSIFICATION IN MCM
RESULT ANALYSIS
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Artificial Intelligence in Healthcare: on the Verge of Major Shift with Opportunities and Challenges
Nahid Sami1,* and Asfia Aziz1
INTRODUCTION
Why AI in Healthcare
AI TECHNIQUES IN HEALTHCARE
Machine Learning
Support Vector Machine
Neural Network
Deep Learning
Natural Language Processing
Opportunity and its Impact
Diagnosis
Therapy
Drug Development and Research
Rehabilitation of Elderly
The Future
Challenges and Limitations
Digitization of Clinical Data
Privacy and Security
Role of Stakeholder
Facing the Causality
Black Box Issue
CONCLUSION
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
A Review on Automatic Plant Species Recognition System by Leaf Image Using Machine Learning in Indian Ecological System
Sugandha Chakraverti1, Ashish Kumar Chakraverti2,*, Jyoti Kumar3, Piyush Bhushan Singh4 and Rakesh Ranjan5
INTRODUCTION
IMAGE PROCESSING
A Typical Image-Based Plant Identification System (SATTI Et Al., 2013)
Image Acquisition
Pre-processing
Feature Extraction
Color Features
Shape Features
A). Geometric Features
B). Morphological Features
C). Tooth Features
INDIAN PLANTS IMAGE DATA SETS
MACHINE LEARNING TECHNIQUES FOR LEAF RECOGNITION
DEVELOPMENTS OF AUTOMATIC SYSTEMS/MOBILE APPS FOR LEAF RECOGNITION
Plantifier
Garden
PlantNet
iNaturalist
KEY ATTRIBUTES
FlowerChecker
Agrobase
LEAF RECOGNITION APP
Methodology
Integration of the Front-End with the Backend
Description
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Recognizing Rice Leaves Disorders by Applying Deep Learning
Taranjeet Singh1,*, Krishna Kumar2, S. S. Bedi2 and Harshit Bhadwaj3
INTRODUCTION
PADDY DISEASES
DEEP LEARNING (DL)
Pretrained Neural Network (PNN)
CONCLUDING REMARKS
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Shallow Cloud Classification using Deep Learning and Image Segmentation
Amreen Ahmad1,*, Chanchal Kumar1, Ajay Kumar Yadav1 and Agnik Guha1
INTRODUCTION
What are Shallow Clouds?
Why is it Important to Study Shallow Clouds?
Motivation for an Automated System for Cloud Classification
Benefits
RELATED WORK
PROPOSED METHODOLOGY
Data Preprocessing
Data Analysis
Model Used
UNet
Idea Behind UNet
Architecture UNet
UNet on ResNet34 Backbone: Residual Network
Residual Blocks
Architecture
Cross Entropy
Dice Loss
RAdam Optima
Evaluation Metric
DATA SET
EXPERIMENTAL ANALYSIS
Exploratory Data Analysis
Data Augmentation
Visualization of Mask
Training
RESULTS
PREDICTED SEGMENTS
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Artificial Intelligence Based Lung Disease Classification By Using Evolutionary Deep Learning Paradigm
Archana P. Kale1,*, Ankita R. Angre1, Ankita R. Angre1 and Dhanashree V. Paranjape1
INTRODUCTION
RELATED WORK
METHODOLOGY
Collection of Datasets
Deep Learning Algorithm
Transfer Learning
Image Preprocessing and Features
Training of CNN Model
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Hybrid Deep Learning Model for Sleep Disorders Detection
Anand Singh Rajawat1,*, Kanishk Barhanpurkar1 and Romil Rawat2
INTRODUCTION
RELATED WORK
PROPOSED WORK
CONVOLUTIONAL NEURAL NETWORK
DEEP BELIEF NETWORK
SYSTEM ARCHITECTURE
DATA-SET
Algorithm
RESULT ANALYSIS
CONCLUDING REMARKS
FUTURE SCOPE
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Identification of Covid-19 Positive Cases Using Deep Learning Model and CT Scan Images
I. Kumar1,*, S.P Singh1, Shivam1, N. Mohd2 and J. Rawat3
INTRODUCTION
MATERIALS AND METHODOLOGY
Dataset Preparation
Proposed Work
Preprocessing Section
Deep Learning Models
Non-Linear Activation Function
EXPERIMENT AND RESULTS
Experimental Setup
RESULTS
CONCLUSION
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Application of Nature Inspired Algorithms to Test Data Generation/Selection/Minimization using Mutation Testing
Nishtha Jatana1,* and Bharti Suri1
INTRODUCTION
Basics of Software Testing
TEST COVERAGE AND ADEQUACY PRELIMINARIES
Structural Testing
Program Based Testing
Specification-based Testing
Error Seeding
Mutation Testing
Perturbation Testing
Error-based (Infection Based) and Domain Analysis Testing
STUDY OF MUTATION TESTING
The Process of Mutation Testing
Mutant Operators
Applications of Mutation Testing
Program Mutation
Specification Mutation
Problems in Mutation Testing
Solutions to Problems in Mutation Testing
Cost Reduction Techniques
Higher-order Mutants
Execution Cost Reduction Techniques
Execution Type
Advanced Platform Support
Equivalent Mutant Handling Technique
Search-Based Mutation Testing
Application of Mutation Testing for Handling the Test Suite
Test Case Generation Techniques
Test Case Selection and Minimization Techniques
Test Case Prioritization Techniques
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Multimodal Genetic Optimized Feature Selection for Online Sequential Extreme Learning Machine
Archana P. Kale1,*, Shefali P. Sonavane1, Shashwati P. Kale1 and Aditi R. Wade2
INTRODUCTION
PROPOSED MG-OSELM APPROACH
Datasets
Preprocessing Subsystem
Feature Subset Selection Subsystem
Classification Subsystem
EXPERIMENTAL RESULTS
MG-ELM and ELM
MG-OSELM and OSELM
CONCLUSION
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
A New Non-Stigmergic-Ant Algorithm to Make Load Balancing Resilient in Big Data Processing for Enterprises
Samia Chehbi Gamoura1,*
INTRODUCTION
RELATED WORKS AND PROBLEM STATEMENT
Business Big Data Processing, Workload Management, and Load Balancing
Swarm Intelligence for Load Balancing
PROPOSED APPROACH
Key Concepts
Concept of Neighborhood and Meta-Clustering
Concepts of Inner and Outer Load Balancing
PB-DNA Algorithm
Formulation and Settings
Methodology and Simulation Settings
C. Methods and metrics extraction
EXPERIMENTATION AND RESULTS
Dataset Collection and Case Study
Data Visualization
Benchmarking n°1: PB-DNA Vs. Predictive and Reactive Methods (Robustness Challenge)
Benchmarking n°2: PB-DNA Vs. Predictive Methods (Scalability Challenge)
Benchmarking n°3: PB-DNA vs. other Reactive Methods (Resilience Challenge)
CONCLUSION AND FUTURE WORKS
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Computational Algorithms and Study of Elastic Artery and their Applications
Anil Kumar1,*
INTRODUCTION
DYNAMICAL STUDY OF PULSATILE FLOW
PERFORMANCE OF PULSATILE FLOW IN ELASTIC ARTERIES
PERFORMANCE OF WAVE REFLECTIONS BRANCHING AND TETHERING
COMPUTATIONAL TECHNIQUES FOR BLOOD FLOW
Finite Difference Technique
Crank –Nicolson Scheme
BASIC EQUATION OF BLOOD FLOW
DESCRIPTION OF MATHEMATICAL MODEL
COMPUTATIONAL ALGORITHM
RESULTS AND DISCUSSION
CONCLUSION
APPLICATIONS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Performance Analysis of CCS on Inclined Plane using Fuzzy-PID Controller
Saty Prakash Yadav1,* and Amit Kumar Singh1
INTRODUCTION
Mathematical Modelling and Controller Design
Mathematical Modelling
Controller Design
PID CONTROLLER
PROCEDURE OF PID TUNING WITH OSCILLATION Z-N METHOD
ADVANTAGES OF PID CONTROLLER
DISADVANTAGE OF PID CONTROLLER
FUZZY LOGIC CONTROLLER (FLC)
FUZZIFICATION
FUZZY RULE INTERFACE (FRI)
EBRAHIM MAMDANI FUZZY MODEL (EMFM)
Sugeno Fuzzy Model (SFM)
Tsukamoto Fuzzy Model
DEFUZZIFICATION
MEMBERSHIP FUNCTION (MF)
Types of Membership Functions
ADVANTAGE OF FLC
FUZZY- PID (F-PID) CONTROLLER
RESULTS AND DISCUSSION
CONCLUSION
Future Developments
LIST OF ABBREVIATIONS
CONSENT OF PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Subject Index
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