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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
Low-Cost, User-Friendly, All-Integrated Smartphone-Based Microplate Reader for Optical-Based Biological and Chemical Analyses
Linking Brain Structure, Activity, and Cognitive Function through Computation
Smartphone - Wikipedia
Figure 5 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
AI is about to completely change how you use computers
Sensors, Free Full-Text
Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
Fast & Slow Thinking: Our System 1 & System 2 Brains
A good option for a Book Lover It comes with proper packaging Ideal for Gifting
Thinking, Fast and Slow
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model
Trends in human activity recognition using smartphones
Human Activity Recognition With Neural Networks 👥
A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing