Artificial Intelligence and Natural Algorithms

Welcome
Table of Content
Title
BENTHAM SCIENCE PUBLISHERS LTD.
    End User License Agreement (for non-institutional, personal use)
    Usage Rules:
        Disclaimer:
        Limitation of Liability:
    General:
PREFACE
List of Contributors
Data Computation: Awareness, Architecture and Applications
    Abstract
    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)
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    INTRODUCTION
    MATERIALS AND METHODOLOGY
        Dataset Preparation
        Proposed Work
        Preprocessing Section
            Deep Learning Models
                LeNet-5
                MobileNet-V2
        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
    Abstract
    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
                Mutant Reduction Techniques
                Mutant Sampling
                Mutant Clustering
                Selective Mutation
            Higher-order Mutants
            Execution Cost Reduction Techniques
                Mutation Type
            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
    Abstract
    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
    Abstract
    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
    Abstract
    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
    Abstract
    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