ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING
CONTENTS POST PANDEMIC: THE NEW ADVANCED SOCIETY 1 1 INTRODUCTION 1 1 1 THEMES 1 1 1 1 THEME: AREAS OF MANAGEMENT 1 1 1 2 THEME: FINANCIAL INSTITUTIONS CYBER CRIME 1 1 1 3 THEME: ECONOMIC NOTION 1 1 1 4 THEME: HUMAN DEPRESSION 1 1 1 5 THEME: MIGRANT LABOR 1 1 1 6 THEME: DIGITAL TRANSFORMATION (DT) OF EDUCATIONAL INSTITUTIONS 1 1 1 7 SCHOOL AND COLLEGES CLOSURES 1 2 CONCLUSIONS REFERENCES DISTRIBUTED LEDGER TECHNOLOGY IN THE CONSTRUCTION INDUSTRY USING CORDA 2 1 INTRODUCTION 2 2 PREREQUISITES 2 2 1 DLT VS BLOCKCHAIN 2 3 KEY POINTS OF CORDA 2 3 1 SOME SALIENT FEATURES OF CORDA 2 3 2 STATES 2 3 3 CONTRACT 2 3 3 1 CREATE AND ASSIGN TASK (CAT) CONTRACT 2 3 3 2 REQUEST FOR CASH (RT) CONTRACT 2 3 3 3 TRANSFER OF CASH (TT) CONTRACT 2 3 3 4 UPDATION OF THE TASK (UOT) CONTRACT 2 3 4 FLOWS 2 3 4 1 FLOW ASSOCIATED WITH CAT CONTRACT 2 3 4 2 FLOW ASSOCIATED WITH RT CONTRACT 2 3 4 3 FLOW ASSOCIATED WITH TT CONTRACT 2 3 4 4 FLOW ASSOCIATED WITH UOT CONTRACT 2 4 IMPLEMENTATION 2 4 1 SYSTEM OVERVIEW 2 4 2 WORKING FLOWCHART 2 4 3 EXPERIMENTAL DEMONSTRATION 2 5 FUTURE WORK 2 6 CONCLUSION IDENTITY AND ACCESS MANAGEMENT FOR INTERNET OF THINGS CLOUD 3 1 INTRODUCTION 3 2 INTERNET OF THINGS (IOT) SECURITY 3 2 1 IOT SECURITY OVERVIEW 3 2 2 IOT SECURITY REQUIREMENTS 3 2 3 SECURING THE IOT INFRASTRUCTURE 3 3 IOT CLOUD 3 3 1 CLOUDIFICATION OF IOT 3 3 2 COMMERCIAL IOT CLOUDS 3 3 3 IAM OF IOT CLOUDS 3 4 IOT CLOUD RELATED DEVELOPMENTS 3 5 PROPOSED METHOD FOR IOT CLOUD IAM 3 5 1 DISTRIBUTED LEDGER APPROACH FOR IOT SECURITY 3 5 2 BLOCKCHAIN FOR IOT SECURITY SOLUTION 3 5 3 PROPOSED DISTRIBUTED LEDGER-BASED IOT CLOUD IAM 3 6 CONCLUSION AUTOMATED TSR USING DNN APPROACH FOR INTELLIGENT VEHICLES 4 1 INTRODUCTION 4 2 LITERATURE SURVEY 4 3 NEURAL NETWORK (NN) 4 4 METHODOLOGY 4 4 1 SYSTEM ARCHITECTURE 4 4 2 DATABASE 4 5 EXPERIMENTS AND RESULTS 4 5 1 FFNN 4 5 2 RNN 4 5 3 CNN 4 5 4 CNN 4 5 5 PRE-TRAINED MODELS 4 6 DISCUSSION 4 7 CONCLUSION HONEYPOT: A TRAP FOR ATTACKERS 5 1 INTRODUCTION 5 1 1 RESEARCH HONEYPOTS 5 1 2 PRODUCTION HONEYPOTS 5 2 METHOD 5 2 1 LOW-INTERACTION HONEYPOTS 5 2 2 MEDIUM-INTERACTION HONEYPOTS 5 2 3 HIGH-INTERACTION HONEYPOTS 5 3 CRYPTANALYSIS 5 3 1 SYSTEM ARCHITECTURE 5 3 2 POSSIBLE ATTACKS ON HONEYPOT 5 3 3 ADVANTAGES OF HONEYPOTS 5 3 4 DISADVANTAGES OF HONEYPOTS 5 4 CONCLUSIONS EXAMINING SECURITY ASPECT IN INDUSTRIAL-BASED INTERNET OF THINGS 6 1 INTRODUCTION 6 2 PROCESS FRAME OF IOT BEFORE SECURITY 6 2 1 CYBER ATTACK 6 2 2 SECURITY ASSESSMENT IN IOT 6 2 2 1 SECURITY IN PERCEPTION AND NETWORK FRAME 6 3 ATTACKS AND SECURITY ASSESSMENTS IN IIOT 6 3 1 IOT SECURITY TECHNIQUES ANALYSIS BASED ON ITS MERITS 6 4 CONCLUSION A COOPERATIVE NAVIGATION FOR MULTI-ROBOTS IN UNKNOWN ENVIRONMENTS USING HYBRID JAYA-DE ALGORITHM 7 1 INTRODUCTION 7 2 RELATED WORKS 7 3 PROBLEM FORMULATION 7 4 MULTI-ROBOT NAVIGATION EMPLOYING HYBRID JAYA-DE ALGORITHM 7 4 1 BASIC JAYA ALGORITHM 7 5 HYBRID JAYA-DE 7 5 1 MUTATION 7 5 2 CROSSOVER 7 5 3 SELECTION 7 6 SIMULATION ANALYSIS AND PERFORMANCE EVALUATION OF JAYA-DE ALGORITHM 7 7 TOTAL NAVIGATION PATH DEVIATION (TNPD) 7 8 AVERAGE UNEXPLORED GOAL DISTANCE (AUGD) 7 9 CONCLUSION CATEGORIZATION MODEL FOR PARKINSON’S DISEASE OCCURRENCE AND SEVERITY PREDICTION 8 1 INTRODUCTION 8 2 APPLICATIONS 8 2 1 MACHINE LEARNING IN PD DIAGNOSIS 8 2 2 CHALLENGES OF PD DETECTION 8 2 3 STRUCTURING OF UPDRS SCORE 8 3 METHODOLOGY 8 3 1 OVERVIEW OF DATA DRIVEN INTELLIGENCE 8 3 2 COMPARISON BETWEEN DEEP LEARNING AND TRADITIONAL MACHINE 8 3 3 DEEP LEARNING FOR PD DIAGNOSIS 8 3 4 CONVOLUTION NEURAL NETWORK FOR PD DIAGNOSIS 8 4 PROPOSED MODELS 8 4 1 CLASSIFICATION OF PATIENT AND HEALTHY CONTROLS 8 4 2 SEVERITY SCORE CLASSIFICATION 8 5 RESULTS AND DISCUSSION 8 5 1 PERFORMANCE MEASURES 8 5 2 GRAPHICAL RESULTS 8 6 CONCLUSION AI-BASED SMART AGRICULTURE MONITORING USING GROUND-BASED AND REMOTELY SENSED IMAGES 9 1 INTRODUCTION 9 2 AUTOMATIC LAND-COVER CLASSI?CATION TECHNIQUES USING REMOTELY SENSED IMAGES 9 3 DEEP LEARNING-BASED AGRICULTURE MONITORING 9 4 ADAPTIVE APPROACHES FOR MULTI-MODAL CLASSI?CATION 9 4 1 UNSUPERVISED DA 9 4 2 SEMI-SUPERVISED DA 9 4 3 ACTIVE LEARNING-BASED DA 9 5 SYSTEM MODEL 9 6 1 802 15 4 MAC 9 6 2 DSME MAC 9 6 3 TSCH MAC 9 7 ANALYSIS OF IEEE 802 15 4 FOR SMART AGRICULTURE 9 7 1 E?ECT OF DEVICE SPECI?CATION 9 7 1 1 LOW-POWER 9 7 2 E?ECT OF MAC PROTOCOLS 9 8 EXPERIMENTAL RESULTS CONCLUSION & FUTURE DIRECTIONS 10 CAR BUYING CRITERIA EVALUATION USING MACHINE LEARNING APPROACH 10 1 INTRODUCTION 10 2 LITERATURE SURVEY 10 3 PROPOSED METHOD 10 4 DATASET 10 5 EXPLORATORY DATA ANALYSIS 10 6 SPLITTING OF DATA INTO TRAINING DATA AND TEST DATA 10 7 PRE-PROCESSING 10 8 TRAINING OF OUR MODELS 10 8 1 GAUSSIAN NAÏVE BAYES 10 8 2 DECISION TREE CLASSIFIER 10 8 3 TUNING THE MODEL 10 8 4 KARNOUGH NEAREST NEIGHBOR CLASSIFIER 10 8 5 TUNING THE MODEL 10 8 6 NEURAL NETWORK 10 8 7 TUNING THE MODEL 10 9 RESULT ANALYSIS 10 9 1 CONFUSION MATRIX 10 9 2 GAUSSIAN NAÏVE BAYES 10 9 3 DECISION TREE CLASSIFIER 10 9 4 KARNOUGH NEAREST NEIGHBOR CLASSIFIER 10 9 5 NEURAL NETWORK 10 9 6 ACCURACY SCORES 10 10 CONCLUSION AND FUTURE WORK 11 BIG DATA, ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: A PARADIGM SHIFT IN ELECTION CAMPAIGNS 11 1 INTRODUCTION 11 2 BIG DATA REVEALS THE VOTERS’ PREFERENCE 11 2 1 USE OF SOFTWARE APPLICATIONS IN ELECTION CAMPAIGNS 11 2 1 1 TEAM JOE APP 11 2 1 2 TRUMP 11 2 1 3 MODI APP 11 3 DEEP FAKES AND ELECTION CAMPAIGNS 11 3 1 DEEP FAKE IN DELHI ELECTIONS 11 4 SOCIAL MEDIA BOTS 11 5 FUTURE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ELECTION CAMPAIGNS 12 IMPACT OF OPTIMIZED SEGMENT ROUTING IN SOFTWARE DEFINED NETWORK 12 1 INTRODUCTION 12 2 SOFTWARE-DEFINED NETWORK 12 3 SDN ARCHITECTURE 12 4 SEGMENT ROUTING 12 5 SEGMENT ROUTING IN SDN 12 6 TRAFFIC ENGINEERING IN SDN 12 7 SEGMENT ROUTING PROTOCOL 12 8 SIMULATION AND RESULT 12 9 CONCLUSION AND FUTURE WORK 13 AN INVESTIGATION INTO COVID-19 PANDEMIC IN INDIA 13 1 INTRODUCTION 13 1 2 PRECAUTIONARY MEASURES 13 1 3 WAYS OF SPREADING THE CORONAVIRUS 13 2 LITERATURE SURVEY 13 3 1 ROBOTS 13 3 2 DRONE TECHNOLOGY 13 3 3 CROWD SURVEILLANCE 13 3 4 SPRAYING THE DISINFECTANT 13 3 5 SANITIZING THE CONTAMINATED AREAS MONITORING TEMPERATURE USING THERMAL CAMERA 13 3 7 DELIVERING THE ESSENTIAL THINGS 13 3 8 PUBLIC ANNOUNCEMENT IN THE INFECTED AREAS 13 4 IMPACT OF COVID-19 ON BUSINESS 13 4 1 IMPACT ON FINANCIAL MARKETS 13 4 2 IMPACT ON SUPPLY SIDE 13 4 3 IMPACT ON DEMAND SIDE 13 4 4 IMPACT ON INTERNATIONAL TRADE 13 5 IMPACT OF COVID-19 ON INDIAN ECONOMY 13 6 DATA AND RESULT ANALYSIS 13 7 CONCLUSION AND FUTURE SCOPE 14 SKIN CANCER CLASSIFICATION: ANALYSIS OF DIFFERENT CNN MODELS VIA CLASSIFICATION ACCURACY 14 1 INTRODUCTION 14 2 LITERATURE SURVEY 14 3 METHODOLOGY 14 3 1 DATASET PREPARATION 14 3 2 DATASET LOADING AND DATA PRE-PROCESSING 14 3 3 CREATING MODELS 14 4 MODELS USED 14 5 SIMULATION RESULTS 14 5 1 CHANGING SIZE OF MAXPOOL2D(N,N) 14 5 2 CHANGING SIZE OF AVERAGEPOOL2D(N,N) 14 5 3 CHANGING NUMBER OF CON2D(32N–64N) LAYERS 14 5 4 CHANGING NUMBER OF CON2D-32*N LAYERS 14 5 5 ROC CURVES AND MSE CURVES 14 6 CONCLUSION 15 ROUTE MAPPING OF MULTIPLE HUMANOID ROBOTS USING FIREFLY-BASED ARTIFICIAL POTENTIAL FIELD ALGORITHM IN A CLUTTERED TERRAIN 15 1 INTRODUCTION 15 2 DESIGN OF PROPOSED ALGORITHM 15 2 1 MECHANISM OF ARTIFICIAL POTENTIAL FIELD 15 2 1 1 POTENTIAL FIELD GENERATED BY ATTRACTIVE FORCE OF GOAL 15 2 1 2 POTENTIAL FIELD GENERATED BY REPULSIVE FORCE OF OBSTACLE 15 2 2 MECHANISM OF FIREFLY ALGORITHM 15 2 2 1 ARCHITECTURE OF OPTIMIZATION PROBLEM BASED ON FIREFLY ALGORITHM 15 2 3 DINING PHILOSOPHER CONTROLLER 15 3 HYBRIDIZATION PROCESS OF PROPOSED ALGORITHM 15 4 EXECUTION OF PROPOSED ALGORITHM IN MULTIPLE HUMANOID ROBOTS 15 5 COMPARISON 15 6 CONCLUSION 16 INNOVATIVE PRACTICES IN EDUCATION SYSTEMS USING ARTIFICIAL INTELLIGENCE FOR ADVANCED SOCIETY 16 1 INTRODUCTION 16 2 LITERATURE SURVEY 16 2 1 AI IN AUTO-GRADING 16 2 2 AI IN SMART CONTENT 16 2 3 AI IN AUTO ANALYSIS ON STUDENT’S GRADE 16 2 4 AI EXTENDS FREE INTELLIGENT TUTORING 16 2 5 AI IN PREDICTING STUDENT ADMISSION AND DROP-OUT RATE 16 3 PROPOSED SYSTEM 16 3 1 DATA COLLECTION MODULE 16 3 2 DATA PRE-PROCESSING MODULE 16 3 3 CLUSTERING MODULE 16 3 4 PARTNER SELECTION MODULE 16 4 RESULTS 16 5 FUTURE ENHANCEMENTS 16 6 CONCLUSION 17 PSO-BASED HYBRID WEIGHTED K-NEAREST NEIGHBOR ALGORITHM FOR WORKLOAD PREDICTION IN CLOUD INFRASTRUCTURES 17 1 INTRODUCTION 17 2 LITERATURE SURVEY 17 2 1 MACHINE LEARNING 17 3 PROPOSED SYSTEM 17 3 1 LOAD AWARE CLOUD COMPUTING MODEL 17 3 2 WAVELET NEURAL NETWORK 17 3 3 EVALUATION USING LOOCV MODEL 17 3 4 K-NEAREST NEIGHBOR (K-NN) ALGORITHM 17 3 5 PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM HWKNN OPTIMIZATION ALGORITHM BASED ON PSO 17 3 7 PSO-BASED HWKNN (PHWKNN) LOAD PREDICTION ALGORITHM 17 4 EXPERIMENTAL RESULTS 17 5 CONCLUSION 18 AN EXTENSIVE SURVEY ON THE PREDICTION OF BANKRUPTCY 18 1 INTRODUCTION 18 2 LITERATURE SURVEY 18 2 1 DATA PRE-PROCESSING 18 2 1 1 BALANCING OF IMBALANCED DATASET 18 2 1 2 OUTLIER DATA HANDLING 18 2 2 CLASSIFIERS 18 2 3 ENSEMBLE MODELS 18 3 SYSTEM ARCHITECTURE AND SIMULATION RESULTS 18 4 CONCLUSION 19 FUTURE OF INDIAN AGRICULTURE USING AI AND MACHINE LEARNING TOOLS AND TECHNIQUES 19 1 INTRODUCTION 19 2 OVERVIEW OF AI AND MACHINE LEARNING 19 3 REVIEW OF LITERATURE 19 4 APPLICATION OF AI & MACHINE LEARNING IN AGRICULTURE 19 5 CURRENT SCENARIO AND EMERGING TRENDS OF AI AND ML IN INDIAN AGRICULTURE SECTOR 19 6 OPPORTUNITIES FOR AGRICULTURAL OPERATIONS IN INDIA 19 7 CONCLUSION