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Machine Learning
A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments …
Electrical Machine Analysis Using Finite Elements
From the fan motor in your PC to precision control of aircraft, electrical machines of all sizes, varieties, and levels of complexity permeate our world. Some are very simple, …
The Resilience Machine
We live in a time where environmental pressures, social inequities and political derision are the backdrop of everyday life, and where resilience has become a routine prescription …
Industrial Applications of Machine Learning
Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required …
Computer-Aided Kinetics for Machine Design
This book presents a study of computer-aided machine design and explains the fundamental concepts of kinematics and machine element design in lay terms. It is useful for those …
Global Perspectives on the Ecology of Human-Machine Systems
There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems. Some have suggested that …
Fundamentals of Machine Elements
Fundamentals of Machine Elements, Third Edition offers an in-depth understanding of both the theory and application of machine elements. Design synthesis is carefully balanced with …
Local Applications of the Ecological Approach To Human-Machine Systems
There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems. Some have suggested that …
Soil-Machine Interactions
Aiming to improve work efficiency in such areas as tillage in agriculture, earth-moving in civil engineering, and tunnel-making in sea-bed operations, this work offers an …
Applied Genetic Programming and Machine Learning
What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with …