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 …

Resource scheduling in cloud computing based on a hybridized whale optimization algorithm

I Strumberger, N Bacanin, M Tuba, E Tuba - Applied Sciences, 2019 - mdpi.com
The cloud computing paradigm, as a novel computing resources delivery platform, has
significantly impacted society with the concept of on-demand resource utilization through …

Image classification using multiple convolutional neural networks on the fashion-MNIST dataset

O Nocentini, J Kim, MZ Bashir, F Cavallo - Sensors, 2022 - mdpi.com
As the elderly population grows, there is a need for caregivers, which may become
unsustainable for society. In this situation, the demand for automated help increases. One of …

Deep learning for clothing style recognition using YOLOv5

YH Chang, YY Zhang - Micromachines, 2022 - mdpi.com
With the rapid development of artificial intelligence, much more attention has been paid to
deep learning. However, as the complexity of learning algorithms increases, the needs of …

A systematic literature review of artificial intelligence in fashion retail B2C

LQ Lomas, AG Elordi, AA Escondrillas… - 2021 6th international …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) has already strongly transformed many industries such as
healthcare, finance, automotive, education and retail. In recent years, AI implementation in …

Garment categorization using data mining techniques

S Jain, V Kumar - Symmetry, 2020 - mdpi.com
The apparel industry houses a huge amount and variety of data. At every step of the supply
chain, data is collected and stored by each supply chain actor. This data, when used …

e-clip: Large-scale vision-language representation learning in e-commerce

W Shin, J Park, T Woo, Y Cho, K Oh… - Proceedings of the 31st …, 2022 - dl.acm.org
Understanding vision and language representations of product content is vital for search
and recommendation applications in e-commerce. As a backbone for online shopping …

Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue

T Liu, J Bao, J Wang, J Wang - International Journal of Computer …, 2022 - Taylor & Francis
Deep learning (DL) is an important enabling technology for intelligent manufacturing. The
DL-based industrial image pattern recognition (DLBIIPR) plays a vital role in the …

Neural fashion image captioning: Accounting for data diversity

G Hacheme, N Sayouti - arXiv preprint arXiv:2106.12154, 2021 - arxiv.org
Image captioning has increasingly large domains of application, and fashion is not an
exception. Having automatic item descriptions is of great interest for fashion web platforms …

Elevator fault detection using profile extraction and deep autoencoder feature extraction for acceleration and magnetic signals

KM Mishra, K Huhtala - Applied Sciences, 2019 - mdpi.com
In this paper, we propose a new algorithm for data extraction from time-series data, and
furthermore automatic calculation of highly informative deep features to be used in fault …