Results 51 to 60 of about 16,703 (255)
Journal of Natural Fibers, 2023 Foreign fibers in cotton layers have a particular impact on the quality of the cotton. Traditional image processing methods are ineffective in detecting foreign fibers in cotton layers, which are time-consuming and costly.
Yu Hong Du +3 more
doaj +1 more source
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 +3 more
wiley +1 more source
Emergency Management Science and TechnologyAs global warming increases forest fire frequency, early prevention and effective management become crucial. This requires models that are both accurate and easily understood.
Zhiyang Liu +3 more
doaj +1 more source
Comparing the Performance of Algorithmic Trading Systems based on Machine Learning in the Cryptocurrency Market [PDF]
راهبرد مدیریت مالیThe purpose of this research is to use the ensemble learning model to combine the predictions of random forest models, short-term long memory and recurrent neural network to provide an algorithmic trading system based on its.
Emad Koosha +2 more
doaj +1 more source
Short term forecasting of base metals prices using a LightGBM and a LightGBM - ARIMA ensemble
Mineral EconomicsAbstract Base metals are key materials for various industrial sectors such as electronics, construction, manufacturing, etc. Their selling price is important both for the profitability of the mining and metallurgical companies that produce and trade them, as well as for the countries whose economies rely on their exports or tax revenues as a ...
Konstantinos Oikonomou, Dimitris Damigos
openaire +1 more source
Battery Energy, Volume 4, Issue 2, March 2025.Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley +1 more source
Klasifikasi Malware Android Dengan Menggunakan Metode LightGBM Algoritma
, 2023 By 2023, approximately 3.6 billion people worldwide were using Android smartphones. With a global market share of 71.75% by the end of 2022, Android stood out as the most widely used operating system.
Aldy, Hadid Ray
core
GNSS/INS Integration Based on Machine Learning LightGBM Model for Vehicle Navigation
, 2022 To solve the problem of data accuracy degradation of vehicle GNSS/INS integrated navigation systems when the GNSS signal is unavailable or there is a GNSS outage, this paper improves the existing GNSS/INS integration methodology for land vehicle ...
Pengpeng Li +6 more
core +1 more source
Machine learning‐assisted clone selection for intensified cell culture processes
Biotechnology Progress, EarlyView.Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick +6 more
wiley +1 more source
Predictive model for a product without history using LightGBM : Pricing model for a new product
, 2023 The article focuses on developing a predictive product pricing model using LightGBM. Also, the goal was to adapt the LightGBM method for regression problems and, especially, in the problems of forecasting the price of a product without history, that is ...
Toloknova, Varvara, +5 more
core +1 more source