Ebook Machine Learning Application – From Computer Vision To Robotic [Code- 9729E]

Consisting of 13 chapters, this book also introduces practical applications of machine learning and deep learning in blockchain technology, cybersecurity and climate change. AI and robotic applications in mechanical design are also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and details why they matter to us from a social and human perspective.

Edited by two highly qualified scholars and contributed by respected thought leaders in their respective fields, Machine Learning Applications includes information on:

✓ Content based medical image retrieval (CBMIR), including face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing.

✓ Smart medicine, including machine learning and artificial intelligence in medicine, identifying risks, appropriate interventions, and association rules.

✓ AI and robotics applications for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change.

✓ Disease identification and diagnosis, drug discovery and production, medical imaging diagnosis, personalized medicine, and smart health record.

With a practical approach to the subject, Machine Learning Applications is the ideal resource for professionals working with intelligent technologies such as machine and deep learning, AI, IoT and other wireless communications; it is also well suited for professionals working in robotics, computer vision, cyber security and more.

Table of contents:

✓ Chapter 01: Statistical Similarity in Machine Learning.

✓ Chapter 02: Chapter 02: Developing ML-based methods for Adaptive Intelligent E-Learning Systems and Time Series Analysis Techniques.

✓ Chapter 03: Time-Series Forecasting for Stock Market using Convolutional Neural Network.

✓ Chapter 04: Comparative study of the ability to apply color charts of CBIR to detect diseases on plant leaves.

✓ Chapter 05: Stock Index Forecasting using RNN- Long Short- Term Memory.

✓ Chapter 06: Research and analyze machine learning models to detect phishing URLs.

✓ Chapter 07: Practical applications of BC technology in the Internet of Things.

✓ Chapter 08: Advanced Persistent Threat.

✓ Chapter 09: Integrating Blockchain Technology and Internet of Things: Challenges and Solutions.

✓ Chapter 10: Machine Learning techniques for SWOT analysis of online education systems.

✓ Chapter 11: Predicting crop yield and soil moisture using Machine Learning algorithms.

✓ Chapter 12: Multirate Signal Processing in WSN for Channel Capacity and Energy Efficiency using Machine Learning.

✓ Chapter 13: Introduction to Mechanical Design of AI-Based Robotic System.