Artificial Intelligence and Knowledge Processing: Methods and Applications

Welcome
Table of Content
Title
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FOREWORD
PREFACE
List of Contributors
Artificial General Intelligence; Pragmatism or an Antithesis?
   Abstract
   INTRODUCTION
   Elucidation of Echelons, the Hierarchy
   Ancient Mythological Milieu
   Perplexity of Technophobia26
   Incredulous of Celluloid Apocryphal
   Chaotic Proclamations of Digital Prowess
   Gregarious and Pervasive Transgenic Consciousness
   Apperceptive Terrestrial Systematization
   Conclusion
      Candid Exhortation
   CONSENT FOR PUBLICATON
   References
Applications of Artificial Intelligence in Robotics
   Abstract
   INTRODUCTION
   DIFFERENCE BETWEEN AI AND ROBOTICS
   PERCEPTION AND INTELLIGENT ROBOTS
   AI AND ADVANCED ROBOTICS TECHNIQUES
      Will Robots Replace the Human Workforce?
      Robots And Our Developing Environment
      AI, Robots Vs Humans
   ROBOTICS & AI FUTURE OF HUMANITY?
      A. Robots in School
      B. Robots in Health Care
      C. Robots to Analyze Emotions
      D. Robots in Industries
      E. Robots in the Aviation Industry
      F. Robotics in Defense Sectors
      G. Robots in the Mining Industry
   LIMITATIONS OF AI
   CONCLUSION
   CONSENT FOR PUBLICATON
   ACKNOWLEDGEMENTS
   REFERENCES
Smart Regime with IoT application using AI
   Abstract
   INTRODUCTION
   LAYERS OF IoT
   PRIMARILY WE ARE USING THESE TECHNOLOGIES IN: WEARABLES
   SMART HOMES AND BUILDINGS
      Self-Driving Vehicles
      Security Devices
      Traffic Control
      Face, Age & Height Detection System
      IoT in the Healthcare Industry
      IoT in the Agriculture Sector
      Smart City
   IoT Combination of Data Science and AI
      The Data Mining Process in IoT
   AI Libraries and Their Role in IoT Applications
      Keras
      TensorFlow
      NumPy
   MATPLOTLIB
   INNOVATIVE MILESTONES CAN BE ACHIEVED IN IOT USING AI
   CONCLUSION
   CONSENT FOR PUBLICATON
   ACKNOWLEDGEMENTS
   REFERENCES
Artificial Intelligence in Marketing and Operations
   Abstract
   INTRODUCTION
      Application of Artificial Intelligence in Marketing
   Impact of Artificial Intelligence on Customers
   Impact of Artificial Intelligence on Marketing
   Application of Artificial Intelligence in Operations
   Application Of Market Basket Analysis
      Architecture
   BASICS OF MARKET BASKET ANALYSIS
      Support
      Confidence
   Market Basket Analysis Applications
   Benefits Of Market Basket Analysis
   CONCLUSION
   CONSENT FOR PUBLICATON
   ACKNOWLEDGEMENTS
   REFERENCES
Data Insights by Using Data Visualization and Exploration
   Abstract
   INTRODUCTION
   Visualization as a Tool for Insight Discovery
      How to Visualize Data?
      Transform the Data
      Tools
      Why a Tool Like Data Visualization is so Effective?
   Data Visualization and Big Data
   Characteristics of the Big Data
      Architecture
   The following workloads are among those that big data solutions frequently include
   Big Data Architectures Should be taken into Consideration
   Main Advantages and Disadvantages of Big Data
      Advantages of Big Data
      Disadvantages of Big Data
   Big Data and Data Visualization Relationship
   While big data visualization has its benefits, there are also some serious disadvantages for enterprises. The following are their names
   Data Exploration
   CONCLUSION
      Data Visualization\'s Future
   CONSENT FOR PUBLICATON
   ACKNOWLEDGEMENTS
   REFERENCES
Application of Computer Vision to Laboratory Experiments
   Abstract
   Introduction: Background
   The Coupled Pendulum Experiment
   The Flywheel Experiment
   CONCLUSION
   References:
Violence Detection for Smart Cities using Computer Vision
   Abstract
   INTRODUCTION
   LITERATURE SURVEY
   METHODOLOGY
      Feature Extraction
      Transfer Learning
      Binary Classification using LSTM
   MODEL TRAINING AND OPTIMIZATION
   RESULTS AND DISCUSSION
   CONCLUSION
   REFERENCES
A Big Data Analytics Architecture Framework for Oilseeds and Textile Industry Production and International Trade for Sub-Saharan Africa (SSA)
   Abstract
   INTRODUCTION
      Background
   STATEMENT OF THE PROBLEM
      Research Aim
      Research Objectives
      Research Questions
      Literature Survey
   OILSEEDS AND TEXTILE PRODUCTION COMPETITIVE CHALLENGES IN SSA
      • A Lack of Demand from the Apparel Industry
      • Lack of Understanding of Local and Global Market Opportunities
      • Insufficient Availability of Dependable Electricity at Affordable Prices
      • A Lack of Infrastructure for the Treatment of Waste Water and Clean Water
      • A Lack of Competitive Access to Capital
      • Lack of Professional or Trained Labor
   CONCEPTUAL FRAMEWORK FOR ADOPTION OF BIG DATA ANALYTICS
      Methodology
      Results and Discussion
         Critical Challenges around the Applications of Big Data Analytics in the Oilseeds and Textile Industries
   IMPLEMENTATION OF AN AI CHATBOT AND E-COMMERCE
   DATA ANALYSIS OF OILSEEDS PRODUCTION IN SSA
      Soybean
      Groundnuts
      Cowpea
      Shea Butter
      Limited Availability of Better Seeds
      A Lack of Agriculture Equipment
      Poor Soil Fertility
      Input Market Restrictions
      Market Restrictions
      Low Acceptance Rates for New Technologies
   TEXTILE PRODUCTION CAPACITY AND COMPETITIVE FACTORS
   Conclusion and Recommendations on the Cotton and Textile Industry in SSA
   Big Data Analytics Framework Model for Oilseeds and Textile Production in SSA
   The Big Data Framework\'s Structure
   CONCLUSION
   REFERENCES
A Design of Lighting and Cooling System for Museum and Heritage Sites
   Abstract
   INTRODUCTION
   Methodology
      Pre-Scanning of LMS
      Results and Discussion: Lighting Module Design
      Cooling Effect Study by Temperature Monitoring Vs Time and Distance
      Proposed Cooling Effect Enhancement System Design
   CONCLUDING REMARKS
   REFERENCES
Predict Network Intruder Using Machine Learning Model and Classification
   Abstract
   INTRODUCTION
   RELEVANT RESEARCH
   METHODOLOGY
      Dataset Specification
      Experimentalism
      Information-Gain
      Tools Used for Analysis
   EXPERIMENTALISM
      Data Preparation Process
      Feature Selection Based On IG
      Experimental Result
      Experimental Analysis
   CONCLUSION
   REFERENCES
Machine Learning Based Crop Recommendation System
   Abstract
   INTRODUCTION
      Effect of Soil Types on Crop Production
      Effect of Rainfall on Crop Production
      Role of Temperature in Crop Production
      Crop Recommendation System
   THEORETICAL BACKGROUND
      Overview of Machine Learning
      SciKit-learn
      Dataset
      Data Pre-processing
      Streamlit
   MACHINE LEARNING ALGORITHMS
      Logistic Regression
      Decision Tree
      k-nearest Neighbours (KNN) Algorithm
      Naive Bayes Algorithm
   IMPLEMENTATION
      Data Pre-processing
      Applying Machine Learning Algorithms
      Application
   RESULTS AND DISCUSSION
   CONCLUSION
   REFERENCES
Artificial Neural Networks based Distributed Approach for Heart Disease Prediction
   Abstract
   INTRODUCTION
   RELATED WORK
   OVERVIEW OF THE MODEL
   EXPERIMENTAL SETUP
   RESULTS
   CONCLUSION
   REFERENCES
Reinforcement Learning Based Automated Path Planning in Garden Environment using Depth - RAPiG-D
   Abstract
   INTRODUCTION
   RELATED WORKS
   METHODOLOGY
   RESULTS AND DISCUSSION
      Software Implementation
      Hardware Implementation
   CONCLUSION
   FUTURE WORKS
   REFERENCES
Analysis of Human Gait by Selecting Anthropometric Data Based on Machine Learning Regression Approach
   Abstract
   INTRODUCTION
   METHODS AND MATERIALS
   MULTI LINK SEGMENT MODEL
   SIMULATION OF HUMAN GAIT
   REGRESSION FOR ANTHROPOMETRIC MEASUREMENTS
   RESULTS AND DISCUSSION
   CONCLUSION
   ACKNOWLEDGEMENTS
   REFERENCES