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Computational Intelligence for Sustainable Development / Brojo Kishore Mishra, editor.
- Format:
- Book
- Series:
- Agriculture issues and policies.
- Agriculture Issues and Policies Series
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Sustainable development.
- Physical Description:
- 1 online resource (444 pages)
- Edition:
- First edition.
- Place of Publication:
- New York : Nova Science Publishers, Inc., [2022]
- Summary:
- "This book covers the latest advances in the field of computational intelligence with a special focus on Sustainable Development Goals (SDG) such as promoting sustainable agriculture, good health, clean water and sanitation, affordable and clean energy, sustainable cities and communities, sustainable industrialization and innovation, and sustainable use of terrestrial ecosystems. This book would be an excellent resource for data scientists, engineers, students and professors of higher education, computer scientists, researchers, and academicians"-- Provided by publisher.
- Contents:
- Intro
- Contents
- Preface
- Chapter 1
- Sustainable Healthcare and Artificial Intelligence: Some Facts
- Abstract
- Introduction
- AI in Different Healthcare Segments
- Laboratory Medicine and AI
- Test Selection
- AI Consequences of Error
- Big Data Analysis and AI
- AI in Modern Biosciences Research
- Detection of Different Diseases
- Melanoma Detection
- Diabetic Retinopathy Detection
- AI in Alzheimer's Disease
- AI in Cardiovascular Disease
- AI in Diabetic Retinopathy
- AI in Lung Cancer
- AI in Kidney Disease
- AI in Fatty Liver Disease
- AI in Inflammatory Bowel Disease (IBD)
- AI in Myeloproliferative Neoplasms (MPNs)
- AI in Parkinson's Disease (PD)
- Others
- COVID-19 and AI
- Other Uses
- Face Beatification
- AI in Pharmaceutical Industry
- AI in Drug Discovery
- AI in Drug Repurposing
- AI in Clinical Trials
- Data Security and Encryption
- Social Stigma and AI
- Discussion
- Conclusion
- References
- Chapter 2
- Rice Leaf Diseases Prediction using PSO Segmentation and Deep CNN Classification
- Related Works
- Proposed Method
- Image Acquisition
- Image Preprocessing
- Feature Extraction
- PSO Segmentation
- DCNN
- Rice Disease Type and Dataset Descriptions
- Data Types and Description
- Data Preprocessing
- Chapter 3
- Computational Intelligence for Sustainable Smart Cities and Communities
- Sustainable Urbanism and Smart Urbanism Paradigms
- Sustainable Cities
- Compact Cities
- Eco-Cities
- Smart Cities
- Data-Driven Smart Cities
- Artificial Intelligence for Smart and Sustainable Cities
- AI in Smart Cities
- How AI Can Be Used within Smart Cities
- Security
- Maintenance
- Predicting Future Needs
- Controlling Pollution
- Parking Systems
- Public Transportation.
- Waste Management
- Traffic Management
- Energy Tracking
- The Environment
- How AI and Machine Learning Accelerates the Development of Smart Cities
- Role of Internet of Things in Smart Cities
- IoT Technology and Implementation in Smart Cities
- Big Data for Smart Cities
- Smart Education
- Smart Traffic Lights
- Smart Grid
- Data Storage in Smart Cities
- Cloud Storage
- Edge Computing
- Hybrid Data Storage
- Challenges of Big Data in Smart Cities
- Data Sources and Characteristics
- Data and Information Sharing
- Data Quality
- Security and Privacy
- Cost
- Smart City Population
- Biographical Sketches
- Chapter 4
- DairyShop: A Machine Learning-Based Platform for One-Stop Dairy Product Management
- Problem Statement
- The Need to Incorporate Artificial Intelligence and Machine Learning Frameworks in Web Development
- AI and ML Delight the Customer Support Team
- AI and ML Help Maximize User Experience (UX)
- AI and ML Provide Fast Access to Information
- AI and ML Streamline Marketing Strategy
- Available Machine Learning Frameworks
- Microsoft Cognitive Toolkit
- Tensor Flow
- Apache Mahout
- Caffe
- Apache Singa
- Business Benefits of Ecommerce Machine Learning
- Improved Transformations
- Functioning of Marketing Campaigns with Greater Relevance
- Improvement the Efficiency of In-House Operations
- Well Informative Decision Making
- Proposed Framework
- Explanation of Proposed Framework
- System Requirement Analysis
- Information Gathering
- System Analysis
- Design Objectives
- Description of Architectural Design
- Procedural/Modular Approach
- Shop Products Module
- Product Description Module
- Shopping Cart Module
- View Schemes Module
- Scheme Description Module
- Application Summary Module
- Technical Discussions.
- Software Testing
- Machine Learning Life Cycle on Software testing
- Identifying Data Sources
- Preparing Data
- Data Wrangling
- Analyzing Data
- Training the Model
- Testing the ML Model
- Sustainable Software Testing Principles
- Chapter 5
- Recent Developments in Data Science and Its Challenges
- Data Science Analysis
- Challenges in Data Science
- Chapter 6
- Intuitionistic Fuzzy Stream Cipher for Protecting Second Layer Lightning Network Transactions in Blockchain
- 1. Introduction
- 2. The Concepts
- 2.1. Intuitionistic Fuzzy System
- 2.2. The Blockchain
- 2.3. The Lighting Network
- 2.4. The Public Key Algorithm
- 2.5. The Cryptographic Hash Function
- 2.6. The Stream Cipher
- 3. Literature Review
- 4. Modelling and Discussion
- 4.1. The IF Stream Cipher
- 4.2. Security Model for Second Layer Lighting Network
- 4.3. Discussion
- 5. Comparative Results
- 5.1. Entropy
- 5.2. Floating Frequency
- 5.3. Histogram
- 5.4. N-Gram
- 5.5. Autocorrelation
- 5.6. Periodicity
- Chapter 7
- Synthesis of Bio-Fertilizers with Nutrients (NPK) for Agricultural Use from Organic Matters
- Plant Nutrient
- Nutrients Needed for Plant Growth
- Alternative Methods Present to Supplement Micro-Nutrients
- Fertility or Nutrition
- Essential vs Beneficial Nutrients
- The Mineral Elements Needed for Plant Growth
- The Elements of Complete Plant Nutrition
- Micronutrients
- Bio-Fertilizers
- How Bio-Fertilizer Differs from Chemical Synthetic Fertilizer?
- Synthesizing the Bio-Fertilizers
- Working of Bio-Fertilizers
- Advantages of Bio Fertilizers
- Types of Bio Fertilizers
- Bio-Fertilizers Categories as per the Serving Purposes
- Nitrogen Fixing Bio Fertilizers.
- Phosphorus Solubilizing Biofertilizers
- Phosphorus Mobilizing Bio fertilizers
- Bio Fertilizers for Micro Nutrients
- Plant Growth Promoting Rhizobacteria
- Bio-Fertilizers Categories as per the State of Matters
- Solid Bio-Fertilizers
- Liquid Bio-Fertilizers
- Advantages of the Liquid Bio Fertilizers
- Plant Regulators and Hormones
- Plant Regulator
- Plant Hormone
- Vitamin
- Inhibitor
- Growth Hormones: Auxin
- Growth Hormones: Gibberellins
- Wound Hormone
- Root Growth Hormones
- Leaf Growth Hormone: Phyllocaline
- Flowering Hormone: Florigen
- Reproductive Hormones
- Growth Factors
- Endogenous and Exogenous Plant Hormones
- Exogenous Source of Hormones with Essential Nutrients
- Amla
- Termite Mounds
- Banana
- Cow Dung
- Bael
- Jaggery
- Different Plant Seeds
- Aerobic Composting
- Anaerobic Composting
- How to Make Bio-Fertilizers
- How to Apply Bio-Fertilizers
- How to Store
- Formation of the Waste Decomposer Solution
- As Manure
- As Bio-Pesticide
- Nitrogen Alternate (N) Solution
- Phosphorus Alternate (P) Solution
- Potassium Alternate (K) Solution
- Chapter 8
- IoT-Based Security System Using ESP-32 and Lasers and It's Various Applications
- 1.1. Food Innovation
- 1.2. Area of Utility
- 1.3. Embedded Sensors
- 1.4. Basics of IoT
- 1.4.1. Internet of Things
- 1.4.2. IoT Cloud Interface
- 1.4.3. What IoT Is All About?
- 1.4.4. What Devices Makes It to IoT?
- 1.4.5. Are Mobile Phones IoT Devices?
- 1.4.6. IoT Devices
- 1.4.7. IoT Platforms
- 1.4.8. Wearable Platform
- 1.4.9. Embedded Platform
- 1.4.10. Cloud Platform
- 1.4.11. Axeda Provides Infrastructure for M2M Architecture
- 1.5. Introduction of Hardwares
- 1.5.1. Arduino
- 1.5.2. Arduino Uno
- 1.5.3. Arduino Uno Technical Specifications
- 1.5.4. ESP8266.
- 1.5.4.1. Introduction to ESP8266
- 1.5.5. Block Diagram of ESP8266
- 1.5.6. Characteristics of ESP8266
- 1.5.7. Schematic Diagram ESP8266-EX
- 1.5.8. ESP Modules
- 1.5.9. ESP8266 Applications
- 1.5.10. Explore ESP8266 Wi-Fi Module
- 1.5.11. Schematic Diagram of Explore ESP8266 Wi-Fi Module
- 1.5.12. AT Commands
- 1.5.13. Soil Moisture Sensor
- 1.5.14. Submersible Water Pump
- Chapter 9
- Column Test Methodology and Its Versatile Applications in Geo-Environmental Engineering
- Materials and Methods
- Soils
- Column Tests
- Determination of Transport Parameters from Column Test Results
- Column Leaching Tests
- Determination of Transport Parameters from Column Leaching Test Results
- Results and Discussions
- Applications of Transport Parameters in the Design of Liner Thickness
- Applications of Transport Parameters in Soil Washing
- Applications of Transport Parameters in Immobilization Technique
- Chapter 10
- The Effectiveness of Arduino Ultrasonic and Passive Infrared Receivers on the Perception of Physical Distancing
- Problems Formulation
- Objectives and Benefits of Research
- Research Objectives
- Research Benefits
- Research Method
- Research Design
- Location and Time of the Research
- Subject of the Research
- Data Collection Instruments
- Literature Review
- Ultrasonic Sensor and PIR Sensor Necklace
- The Principals and Procedure of Pir Sensor
- Arduino Nano Ultrasonic Sensor
- Ultrasonic Sensor
- The Working Principals of Ultrasonic Sensor
- Arduino Nano
- Components in Ultrasonic Sensors and Pir Sensors
- Buzzer
- LED
- Batteries
- Strategy of Ultrasonic Arduino with Passive Infra Red Receiver on Physical Distancing Perception
- Description of Respondents by Gender.
- Descriptions of Respondent's Age.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- Includes bibliographical references and index.
- Other Format:
- Print version: Mishra, Brojo K. Computational Intelligence for Sustainable Development
- ISBN:
- 9798886973464
- OCLC:
- 1348286015
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