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A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
A survey of itemset mining
P Fournier‐Viger, JCW Lin, B Vo, TT Chi… - … : Data Mining and …, 2017 - Wiley Online Library
Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …
interesting and useful patterns in transaction databases. The traditional task of frequent …
Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices
In many applications, we have to identify an object and then locate the object to within high
precision (centimeter-or millimeter-level). Legacy systems that can provide such accuracy …
precision (centimeter-or millimeter-level). Legacy systems that can provide such accuracy …
A big data approach for logistics trajectory discovery from RFID-enabled production data
Radio frequency identification (RFID) has been widely used in supporting the logistics
management on manufacturing shopfloors where production resources attached with RFID …
management on manufacturing shopfloors where production resources attached with RFID …
A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Different approaches for human activity recognition: A survey
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Indoor localization improved by spatial context—A survey
Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …
other location-based services. There is currently a wealth of relevant literature on indoor …
How long to wait? Predicting bus arrival time with mobile phone based participatory sensing
The bus arrival time is primary information to most city transport travelers. Excessively long
waiting time at bus stops often discourages the travelers and makes them reluctant to take …
waiting time at bus stops often discourages the travelers and makes them reluctant to take …
Location, localization, and localizability
Location-aware technology spawns numerous unforeseen pervasive applications in a wide
range of living, production, commence, and public services. This article provides an …
range of living, production, commence, and public services. This article provides an …
Mobile targeting using customer trajectory patterns
Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …
advertisers to go beyond real-time static location and contextual information on consumers …