Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

S Gupta, S Modgil, S Bhattacharyya, I Bose - Annals of Operations …, 2022 - Springer
Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

Multidisciplinary pattern recognition applications: A review

M Paolanti, E Frontoni - Computer Science Review, 2020 - Elsevier
Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba's Smart Warehouse

D Zhang, LG Pee, L Cui - International Journal of Information Management, 2021 - Elsevier
Despite heightened interest, integrating artificial intelligence (AI) into businesses remains
challenging. Recent surveys show that up to 85% of AI initiatives ultimately fail to deliver on …

Human trajectory prediction and generation using LSTM models and GANs

L Rossi, M Paolanti, R Pierdicca, E Frontoni - Pattern Recognition, 2021 - Elsevier
Human trajectory prediction is an important topic in several application domains, ranging
from self-driving cars to environment design and planning, from socially-aware robots to …

Orchestrating artificial intelligence for urban sustainability

D Zhang, LG Pee, SL Pan, W Liu - Government Information Quarterly, 2022 - Elsevier
Artificial intelligence (AI) is regarded as the next digital frontier in government, with many
potential applications for economic development as well as sustainable urbanization …

[HTML][HTML] Shelf Management: A deep learning-based system for shelf visual monitoring

R Pietrini, M Paolanti, A Mancini, E Frontoni… - Expert Systems with …, 2024 - Elsevier
Shelf monitoring plays a key role in optimizing retail shelf layout, enhancing the customer
shop** experience and maximizing profit margins. The process of automating shelf audit …

Indoor location data for tracking human behaviours: A sco** review

LC Shum, R Faieghi, T Borsook, T Faruk, S Kassam… - Sensors, 2022 - mdpi.com
Real-time location systems (RTLS) record locations of individuals over time and are
valuable sources of spatiotemporal data that can be used to understand patterns of human …

A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation

N Ferracuti, C Norscini, E Frontoni, P Gabellini… - Journal of Retailing and …, 2019 - Elsevier
Over the last few years, shopper behaviour analysis in the retail environment has become
an interesting topic both for managers who want to see the tangible impact of their trade …

A product-centric data mining algorithm for targeted promotions

R Moodley, F Chiclana, F Caraffini, J Carter - Journal of Retailing and …, 2020 - Elsevier
Targeted promotions in retail are becoming increasingly popular, particularly in UK grocery
retail sector, where competition is stiff and consumers remain price sensitive. Given this, a …

Deep understanding of shopper behaviours and interactions using RGB-D vision

M Paolanti, R Pietrini, A Mancini, E Frontoni… - Machine Vision and …, 2020 - Springer
In retail environments, understanding how shoppers move about in a store's spaces and
interact with products is very valuable. While the retail environment has several favourable …