Figure 1 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
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Figure 1: Detecting begin and end of a trip relative to a significant place: Use cell-id patterns for “intuitive” detection when possible, and use GPS/WiFi for “deliberate” detection when necessary. Energy saving is achieved when a user visits the same places and repeats the same trips and accordingly the system works in the intuition mode. - "Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices"
Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
Micromachines, Free Full-Text
Figure 2 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
A Sustainable Metaverse? Virtual reality and the environment
Sensors, Free Full-Text
The Essential Guide to Neural Network Architectures
Kahneman Fast and Slow Thinking: System 1 and 2 Explained by SUE
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Localization of a Neural System for Error Detection and Compensation - Stanislas Dehaene, Michael I Posner, Don M Tucker, 1994
A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing
Thinking, Fast and Slow by Daniel Kahneman, Paperback
Book review: THINKING FAST AND SLOW by Daniel Kahneman
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