Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

A Goti, L Querejeta-Lomas, A Almeida, JG de la Puerta… - Mathematics, 2023 - mdpi.com
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Leveraging mist and fog for big data analytics in IoT environment

IM El‐Hasnony, RR Mostafa… - Transactions on …, 2021 - Wiley Online Library
Abstract Internet of Things (IoT) emerged as one of the leading technological advancements
of our days. IoT generates enormous quantities of valuable data that need on time …

Exploiting EEG signals and audiovisual feature fusion for video emotion recognition

B Xing, H Zhang, K Zhang, L Zhang, X Wu, X Shi… - IEEE …, 2019 - ieeexplore.ieee.org
External stimulation, mood swing, and physiological arousal are closely related and induced
by each other. The exploration of internal relations between these three aspects is …

QuPiD Attack: Machine Learning‐Based Privacy Quantification Mechanism for PIR Protocols in Health‐Related Web Search

R Khan, A Ahmad, AO Alsayed… - Scientific …, 2020 - Wiley Online Library
With the advancement in ICT, web search engines have become a preferred source to find
health‐related information published over the Internet. Google alone receives more than …

Image–music synesthesia-aware learning based on emotional similarity recognition

B Xing, K Zhang, L Zhang, X Wu, J Dou, S Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Synesthesia is a phenomenon in which human experience a cross-sensory interaction in
perception. However, it is hard to bridge two sensory modalities in artificial intelligence …

Economic particulate transport performance analysis of k-epsilon models in highly concentrated slurry through pipelines

Y Kumar, DR Kaushal - Particulate Science and Technology, 2024 - Taylor & Francis
The paper analyzed the economic transporting performance of k-epsilon turbulence models
using the Eulerian two-fluid approach in transporting highly concentrated fine particulate …

A hybrid CBR classification model by integrating decision tree and random forest into case retrieval

I Tarchoune, A Djebbar… - … on Networking and …, 2021 - ieeexplore.ieee.org
Due to the huge amount of medical data, which are stored in databases. The classification is
the most demanding task for automatic decision making. This paper presents the …

Human activity recognition based on fusing inertial sensors with an optical receiver

Z Salem, F Lichtenegger, AP Weiss… - Optical Sensing and …, 2022 - spiedigitallibrary.org
Human activity recognition (HAR) gained great interest in today's research activities,
especially in regard to demographic change. Especially when complex activities have to be …

K-MEANS CLUSTERING HWI PRODUCTS (Case Study: HWI Kisaran Distributor)

R Risnawati, R Rohminatin - International Conference on …, 2020 - jurnal.stmikroyal.ac.id
HWI products are types of products in the form of food and health drinks and beauty products
which are marketed and have been certified by DINKES, BPPOM, MUI and others, and …

[PDF][PDF] Research Article QuPiD Attack: Machine Learning-Based Privacy Quantification Mechanism for PIR Protocols in Health-Related Web Search

R Khan, A Ahmad, AO Alsayed, M Binsawad, MA Islam… - 2020 - academia.edu
With the advancement in ICT, web search engines have become a preferred source to find
health-related information published over the Internet. Google alone receives more than one …