Digital Office Complex : Reengineering Vision Delivery by Transforming Teaming
Brad M. Jackson
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Temporary Power Systems : A guide to the application of BS 7671 and BS 7909 for temporary events
James Eade
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. (University of Washington) Brunton
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Robot Ethics 2.0 : From Autonomous Cars to Artificial Intelligence
Patrick Lin
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Electrical Drives : Principles, Planning, Applications, Solutions
Jens Weidauer
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Introduction to Quantum Computing
Ray LaPierre
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Foundations of Robotics : A Multidisciplinary Approach with Python and ROS
Damith Herath
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Medical Robotics
Achim Schweikard
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Numerical Differential Protection : Principles and Applications
Gerhard Ziegler
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Intelligent Metasurface Sensors
Lianlin (Peking University) Li
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Systems 4.0 : Systems Foundations for Industry 4.0
Adedeji B. (Air Force Institute of Technology, Dayton, Ohio, U Badiru
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Predictive Safety Analytics : Reducing Risk through Modeling and Machine Learning
Robert Stevens
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Analysis and Compensation of Kinetic Friction in Robotic and Mechatronic Control Systems
Michael (University of Agder, Norway) Ruderman
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6G and Next-Generation Internet : Under Blockchain Web3 Economy
Abdeljalil Beniiche
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Systems Theory and Application : A Multi-Disciplinary Approach
Scott (Principla Engineer, Burnham Systems, CA) Jackson
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Engineering Design : A Survival Guide to Senior Capstone
Cory J. Mettler
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Disrupting Buildings : Digitalisation and the Transformation of Deep Renovation
Theo Lynn
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How Circuits Work : Amplifiers, Filters, Audio and Control Electronics
Stanislaw Raczynski
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Hardening Semiconductor Components Against Radiation and Temperature
William R. Dawes
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Lean Manufacturing : Fundamentals, Tools, Approaches, and Industry 4.0 Integration
S. (National Institute of Technology, India) Vinodh
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Green Internet of Things
Bandana (Symbiosys Skills and Professional University, Pune Mahapatra
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Design and Development of Smart Surgical Assistant Technologies : A Case Study for Translational Sciences
Jeff J.H. Kim
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Deep Learning for Crack-Like Object Detection
Kaige Zhang
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Format: Book (Hardback)