Enhancing last-mile delivery: a hybrid approach with machine learning techniques that captures drivers' knowledge

MA Carvalhosa, MT Pereira, MG Pereira… - … Journal of Logistics …, 2024 - Taylor & Francis
The rise of e-commerce has transformed last-mile delivery, with companies' prioritising
faster, more flexible options and implementing innovations such as route optimisation …

[HTML][HTML] Time-mixing and Feature-mixing Modelling for Realized Volatility Forecast: Evidence from TSMixer Model

HG Souto, SK Heuvel, FL Neto - The Journal of Finance and Data Science, 2024 - Elsevier
This study evaluates the effectiveness of the TSMixer neural network model in forecasting
stock realized volatility, comparing it with traditional and contemporary benchmark models …

A New Hybrid Approach for Product Management in E-Commerce

HO Yüregir, M Özşahin, S Akcan Yetgin - Applied Sciences, 2024 - mdpi.com
Nowadays, due to the developments in technology and the effects of the pandemic, people
have largely switched to e-commerce instead of traditional face-to-face commerce. In this …

Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector

FR Ramos, LM Martinez, LF Martinez - Digital Marketing & eCommerce …, 2024 - Springer
Digital commerce activities have been on the rise in the last years. Several types of
forecasting models are considered to predict outcome variables in the context of e …

Development of a model to forecast transport costs in modular construction

MJRS Pereira - 2024 - recipp.ipp.pt
The construction sector, one of the largest global industries, significantly impacts the
economy of any country. Modular Construction (MC) emerges as a solution to the …