Human monkeypox classification from skin lesion images with deep pre-trained network using mobile application

VH Sahin, I Oztel, G Yolcu Oztel - Journal of medical systems, 2022 - Springer
Recently, human monkeypox outbreaks have been reported in many countries. According to
the reports and studies, quick determination and isolation of infected people are essential to …

Deep learning-based face analysis system for monitoring customer interest

G Yolcu, I Oztel, S Kazan, C Oz, F Bunyak - Journal of ambient intelligence …, 2020 - Springer
In marketing research, one of the most exciting, innovative, and promising trends is
quantification of customer interest. This paper presents a deep learning-based system for …

The use of observational technology to study in-store behavior: Consumer choice, video surveillance, and retail analytics

NM Larsen, V Sigurdsson, J Breivik - The Behavior Analyst, 2017 - Springer
The store is the main laboratory for in-store experimental analysis. This article provides an
introduction to a research program aimed at improving research practices in this laboratory …

An analytics model for TelecoVAS customers' basket clustering using ensemble learning approach

M Vahidi Farashah, A Etebarian, R Azmi… - Journal of Big Data, 2021 - Springer
Abstract Value-Added Services at a Mobile Telecommunication company provide customers
with a variety of services. Value-added services generate significant revenue annually for …

[HTML][HTML] The heterogeneity of shoppers' supermarket behaviors based on the use of carrying equipment

NM Larsen, V Sigurdsson, J Breivik… - Journal of Business …, 2020 - Elsevier
Research on in-store behavior has largely focused on shoppers with carts. In a study
involving 15 stores and a total of 3540 shoppers, we document that only 20 percent of …

Multi-person pose estimation using an orientation and occlusion aware deep learning network

Y Gu, H Zhang, S Kamijo - Sensors, 2020 - mdpi.com
Image based human behavior and activity understanding has been a hot topic in the field of
computer vision and multimedia. As an important part, skeleton estimation, which is also …

LRCN-RetailNet: A recurrent neural network architecture for accurate people counting

L Massa, A Barbosa, K Oliveira, T Vieira - Multimedia Tools and …, 2021 - Springer
Measuring and analyzing the flow of customers in retail stores is essential for a retailer to
better comprehend customers' behavior and support decision-making. Nevertheless, not …

[HTML][HTML] Customer Context Analysis in Shop** Malls: A Method Combining Semantic Behavior and Indoor Positioning Using a Smartphone

Y Tian, Y Gu, Q Lu, S Kamijo - Sensors, 2025 - mdpi.com
Customer context analysis (CCA) in brick-and-mortar shop** malls can support decision
makers' marketing decisions by providing them with information about customer interest and …

Customer pose estimation using orientational spatio-temporal network from surveillance camera

J Liu, Y Gu, S Kamijo - Multimedia Systems, 2018 - Springer
The analysis of customer pose draws more and more attention of retailers and researchers,
because this information can reveal the customer habits and the customer interest level to …