Results 51 to 60 of about 51,335 (252)
Arma custos (Fabricius, 1794) MATERIAL. Vicinity of Ust’yanka village, H = 368 m, 1.VI.2020, 1 ♀. DISTRIBUTION. Trans-Euroasian. Recorded from Altai Krai [Kiritshenko, 1910; Petrova, 1975].
Vinokurov, N. N., Rudoi, V. V.
openaire +2 more sources
ABSTRACT Effective collaboration through demand information sharing is essential for supply chain performance. However, growing system complexity often hinders equal information access among firms. This study employs system dynamics models to compare scenarios with and without information sharing, investigating how various types of external supply ...
Hyun‐Woong Jin
wiley +1 more source
Stock Price Prediction Using Deep Learning Algorithms (RNN, LSTM and GRU) and Frequency Decomposition [PDF]
Predicting stock prices has become difficult due to the non-linearity and high volatility of financial time series. Despite significant advancements in various fields and the development of neural network models such as RNN, LSTM, and GRU, which have ...
Ali Namaki +2 more
doaj +1 more source
Carbon mineralization in mafic formations: fracture topology and hydro-chemo-mechanical coupling [PDF]
Versión aceptada de: https://doi.org/10.56952/ARMA-2024-1107This paper was prepared for presentation at the 58th US Rock Mechanics/Geomechanics Symposium held in Golden, Colorado, USA, 23-26 June 2024.
Santamarina, J. Carlos +3 more
core +1 more source
Two level Differential Evolution algorithms for ARMA parameters estimatio [PDF]
The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme ...
Tijani, Ismaila +2 more
core +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Mohamed F El-Badawy,1 Fatma I Abou-Elazm,2 Mohamed S Omar,3 Mostafa E El-Naggar,4 Ibrahim A Maghrabi5 1Department of Microbiology and Immunology, Faculty of Pharmacy, University of Sadat City, Sadat City, Menoufia, 32897, Egypt; 2Department of ...
El-Badawy MF +4 more
doaj
Herbivore and mesocarnivore carcasses trigger divergent short‐term changes in soil properties
Scavengers reshape nutrient cycles in soils under carrion. Compared to herbivore carcasses, smaller but longer‐lasting carnivore remains boost nutrient levels and microbial activity in dry soils. Abstract Animal corpses act as pulses of organic matter (OM) and serve a key zoogeochemical role by providing localized nutrient inputs to soils and thereby ...
Adrián Colino‐Barea +15 more
wiley +1 more source
On the stability of nonlinear ARMA models [PDF]
In the present paper we study the stability of a class of nonlinear ARMA models. We derive a sufficient condition to ensure the geometric ergodicity and we apply it to a very general threshold ARMA model imposing a mild assumption on the ...
Fonseca Giovanni
core
How Important Are Sectoral Shocks in Australia?
ABSTRACT We examine the role of sectoral shocks in driving aggregate fluctuations for the Australian economy between 1994 and 2023, comparing the pre‐COVID and COVID periods. Using both statistical and structural factor models for disaggregated industrial production, we find that sectoral shocks accounted for a substantial portion of aggregate ...
Longye Tian, James Morley
wiley +1 more source

