Machine learning and deep learning algorithms are an invaluable resource for Industry 4.0 and allied areas and considered as a future of computing. A subfield called Neural Networks, to recognize and understand patterns in data, helping a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture, security and many others. These algorithms only be successfully applied in context of data computing and analysis. Today, machine learning and deep learning has brought potential development in detection and prediction.
This technological development has brought a revolution in these domains with the advent of Industry 4.0. Apart from these domains, machine learning and deep learning are found useful in analysing social behaviour of human. These models stand at their best against different network attacks. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where Deep Neural Networks prove their importance. These networks are capable of handling a large amount of data having a background in finance, documents as well as images to name a few. These domain is also addressed in this book. The book also exploit key applications in Industry 4.0 including:
· Fundamental Models, Issues, Challenges in Machine Learning and Deep Learning
· Comprehensive Analysis and Probabilistic Approach for Machine Learning and Deep Learning
· Various Applications in Healthcare predictions viz. Mental Health, Cancer, Thyroid disease, Lifestyle disease, cardiac arrhythmia etc.
· Industry 4.0 Applications viz. Facial Recognition, Feather classification, Water Stress Prediction, Deforestation Control, Tourism, Social Networking etc.
· Security Aspects of Industry 4.0 Applications suggesting remedial actions against possible attacks and prediction of risk associated.
- Information presented in an accessible way for students, researchers and citizen scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.
This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. The book offers comprehensive coverage, promising ideas and outstanding research contribution supporting further development of machine leaning and deep learning approaches applying intelligence in various applications including:
This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.
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