Results 1 to 10 of about 145,592 (147)
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
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A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems
Journal of Telecommunications and Information Technology, 2022 The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance.
Jyoti Prasanna Patra +2 more
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Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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Decomposition of the mean absolute error (MAE) into systematic and unsystematic components.
PLoS ONE, 2023 When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
Scott M Robeson, Cort J Willmott
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Optimal Power Allocation for Channel Estimation in MIMO-OFDM System with Per-Subcarrier Transmit Antenna Selection [PDF]
, 2015 A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequency- division multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers.
Rajeswari, K., Thiruvengadam, S. J.
core +4 more sources
A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China
Journal of Infection in Developing Countries, 2023 Introduction: Seasonal influenza is a serious public health issue in China. This study aimed to develop a new hybrid model for seasonal influenza incidence prediction and provide reference information for early warning management before outbreaks ...
Daren Zhao, Ruihua Zhang
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Istanbul Business Research, 2021 This study aims to create a monthly sales quantity budget by making use of the previous income data of an enterprise operating within the construction sector, which is considered the locomotive of the economy.
Ayşe Soy Temür, Şule Yıldız
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Energy Reports, 2021 In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
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IEEE Access, 2020 This work proposes novel techniques toward the design of optimal pilot sequences to perform channel estimation in block transmission systems over wideband frequency selective wireless fading channels.
Manjeer Majumder, Aditya K. Jagannatham
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Proportionate Minimum Error Entropy Algorithm for Sparse System Identification
Entropy, 2015 Sparse system identification has received a great deal of attention due to its broad applicability. The proportionate normalized least mean square (PNLMS) algorithm, as a popular tool, achieves excellent performance for sparse system identification.
Zongze Wu +4 more
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