Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Activities
Research Labs / Equipment
Datasets
Projects
Search by expertise, name or affiliation
Personal Dynamic Cost-Aware Sensing for Latent Context Detection
Saar Tal,
Bracha Shapira
,
Lior Rokach
Department of Software and Information Systems Engineering
Research output
:
Working paper/Preprint
›
Preprint
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Personal Dynamic Cost-Aware Sensing for Latent Context Detection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Latent Context
100%
Sampling Cost
100%
Context Detection
100%
Sampling Policy
100%
Dynamic Cost
100%
Cost-aware
100%
Energy Consumption
66%
Dynamic Sampling
66%
Sensor Sampling
66%
Convex Optimization
33%
Mobile Devices
33%
Machine Learning Techniques
33%
Sampling Methods
33%
Policy-based
33%
Linear Regression
33%
Smartphone
33%
Battery Life
33%
Optimal Sampling
33%
User Context
33%
Mobile Phone Sensors
33%
Sensing Data
33%
Loss Prediction
33%
KL Divergence
33%
Static Approach
33%
Frequency Rate
33%
Simple Activities
33%
Texting
33%
Continuous Sensing
33%
Embedded Sensors
33%
Prediction Optimization
33%
Autoencoder Neural Network
33%
Computer Science
Information Loss
100%
Context Detection
100%
Energy Consumption
40%
Convex Optimization
20%
Mobile Device
20%
Neural Network
20%
Machine Learning Technique
20%
Objective Function
20%
Autoencoder
20%