Results 181 to 190 of about 143,911 (316)

Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection. [PDF]

Sci Rep
Nabil A, Barakat S, Aboelfetouh A, Elhishi S.   +3 more
europepmc   +1 more source

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source

Vehicle CO₂ emission prediction based on firefly with ant colony optimization tuned long short-term memory model. [PDF]

Sci Rep
Abbas S, Fouad Y, Alhammad SM, Osman AM, El-Bakry HM, Elshewey AM.   +5 more
europepmc   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Enhanced deep learning networks integrated by fractals for air quality index analysis. [PDF]

Front Artif Intell
Kala Nandhini S, Thanga Mariappan L.
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

A deep learning approach to mild cognitive impairment detection from electroencephalogram signals. [PDF]

Dement Neuropsychol
Ohal HS, Mantri S.
europepmc   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

A Time-Delay Low-Rank Reconstruction and Attention-BP-LSTM Framework for Axle-Box Bearing Temperature Prediction in Railway Vehicles. [PDF]

Sensors (Basel)
Xie Y, Xie K, Zou J, Li W, Liu Y.
europepmc   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source