Results 51 to 60 of about 319,246 (248)

Maze Puzzle Pattern‐Based Static Reconfiguration of Photovoltaic Arrays for Enhanced Shade Dispersion and Power Generation Under Partial Shading Conditions

open access: yesEnergy Science &Engineering, EarlyView.
A new maze puzzle pattern array (PPA) is presented to optimize shade allocation, alleviate the mismatch losses of PV (photovoltaic) arrays in partially shaded circumstances, and maximize output in partially shaded operation with zero extra sensors, switching components, and optimum searching schemes.
Alok Kumar Shrivastav   +4 more
wiley   +1 more source

Sazonalidade em séries temporals quadrissemanais — o caso do IMEC

open access: yesEconomia Aplicada, 1999
This paper uses the available econometric techniques to analyze the seasonality in the time series of the Indicator of Economic Movements (IMEC), measured by Fundayao Instituto de Pesquisas Economicas (PIPE), from Sao Paulo (Brazil).
Eliezer Martins Diniz
doaj  

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park   +5 more
wiley   +1 more source

Modeling the seasonality of Methicillin-resistant Staphylococcus aureus infections in hospitals with environmental contamination

open access: yesJournal of Biological Dynamics, 2019
A deterministic mathematical model with periodic antibiotic prescribing rate is constructed to study the seasonality of Methicillin-resistant Staphylococcus aureus (MRSA) infections taking antibiotic exposure and environmental contamination into ...
Qimin Huang   +3 more
doaj   +1 more source

A Near Real-Time Method for Forest Change Detection Based on a Structural Time Series Model and the Kalman Filter

open access: yesRemote Sensing, 2020
The increasing availability of dense time series of earth observation data has incited a growing interest in time series analysis for vegetation monitoring and change detection.
Martin Puhm   +5 more
doaj   +1 more source

Testing common deterministic seasonality

open access: yes, 1999
We propose methods to test for common deterministic seasonality, while allowing for possible seasonal unit roots. For this purpose, we consider panel methods, where we allow for individual and for common dynamics.
Kunst, R.M. (Robert)   +1 more
core   +1 more source

A simple method for defining malaria seasonality. [PDF]

open access: yes, 2009
BACKGROUND: There is currently no standard way of defining malaria seasonality, resulting in a wide range of definitions reported in the literature. Malaria cases show seasonal peaks in most endemic settings, and the choice and timing for optimal malaria
Roca-Feltrer, Arantxa   +3 more
core   +1 more source

Forecasting Duration in High‐Frequency Financial Data Using a Self‐Exciting Flexible Residual Point Process

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a method for forecasting limit order book durations using a self‐exciting flexible residual point process. High‐frequency events in modern exchanges exhibit heavy‐tailed interarrival times, posing a significant challenge for accurate prediction.
Kyungsub Lee
wiley   +1 more source

Seasonality of Violent Suicides in the Athens Greater Area

open access: yes, 2009
The aim of the study was to ascertain suicide seasonality in the Greek population and to associate this seasonal variation with age, sex, and suicide method. Studying seasonality can be of help in establishing a public health policy, related with suicide
Kanakaris, N.   +17 more
core   +1 more source

From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization

open access: yesHeat Transfer, EarlyView.
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy