Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review
A Rejeb, JG Keogh, GK Leong… - International Journal of …, 2021 - Taylor & Francis
This study investigates the potentials and challenges of applying augmented reality (AR)
smart glasses in logistics and supply chain management (SCM). A systematic literature …
smart glasses in logistics and supply chain management (SCM). A systematic literature …
Drift-aware methodology for anomaly detection in smart grid
Energy efficiency and sustainability are important factors to address in the context of smart
cities. In this sense, smart metering and nonintrusive load monitoring play a crucial role in …
cities. In this sense, smart metering and nonintrusive load monitoring play a crucial role in …
A survey for user behavior analysis based on machine learning techniques: current models and applications
Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …
understanding, modeling and predicting past, present and future behaviors of users …
Analyzing customer behavior in-store: A review of available technologies
Online channels collect almost effortlessly a lot of behavioral customer data in a fully
automated manner. Providing a comparable number of metrics for traditional brick-and …
automated manner. Providing a comparable number of metrics for traditional brick-and …
RecIoT: A Deep Insight into IoT‐Based Smart Recommender Systems
Typically, Internet of Things (IoT) is perceived as the technology for connecting people,
devices, vehicles, home appliances, etc., and 212 billion heterogenous devices are …
devices, vehicles, home appliances, etc., and 212 billion heterogenous devices are …
Learning sequence-based fingerprint for magnetic indoor positioning system
Y Chen, M Zhou, Z Zheng - Ieee Access, 2019 - ieeexplore.ieee.org
Indoor magnetic-based positioning has attracted tremendous interests in recent years due to
its pervasiveness and independence from extra infrastructure. Existing methods for indoor …
its pervasiveness and independence from extra infrastructure. Existing methods for indoor …
Toward practical crowdsourcing-based road anomaly detection with scale-invariant feature
Y Chen, M Zhou, Z Zheng, M Huo - IEEE Access, 2019 - ieeexplore.ieee.org
Road anomaly detection with crowdsourced sensor data has become an increasingly
important field of research over the last few years. Traditional ways for road anomaly …
important field of research over the last few years. Traditional ways for road anomaly …
How computer vision provides physical retail with a better view on customers
DAM Hernandez, O Nalbach… - 2019 IEEE 21st …, 2019 - ieeexplore.ieee.org
In recent years, web-based retailers have been taking over a growing market share from
traditional brick and mortar retailers. One of the advantages leveraged by online retail is its …
traditional brick and mortar retailers. One of the advantages leveraged by online retail is its …
Ucbvis: understanding customer behavior sequences with visual interactive system
Understanding customer behaviour (UCB) sequences with the multi-dimensional and
temporal of the data is necessary for any competitive and global business aiming to provide …
temporal of the data is necessary for any competitive and global business aiming to provide …
Comprehensive survey of user behaviour analysis on social networking sites
Social networking sites play an important role in every person's life. Users start expressing
their emotions online whenever any humanitarian or crisis like event occurs. A lot of sub …
their emotions online whenever any humanitarian or crisis like event occurs. A lot of sub …