Short‐Term Electrical Load Demand Forecasting Based on LSTM and RNN Deep Neural Networks

B Islam, SF Ahmed - Mathematical Problems in Engineering, 2022 - Wiley Online Library
As the development of smart grids is increasing, accurate electric load demand forecasting
is becoming more important for power systems, because it plays a vital role to improve the …

Combining deep neural network with genetic algorithm for axial flow fan design and development

YL Liu, EC Nisa, YD Kuan, WJ Luo, CC Feng - Processes, 2023 - mdpi.com
Axial flow fans are commonly used for a system or machinery cooling process. It also used
for ventilating warehouses, factories, and garages. In the fan manufacturing industry, the …

Activity recognition of stroke‐affected people using wearable sensor

A David, R Ramadoss, A Ramachandran… - ETRI …, 2023 - Wiley Online Library
Stroke is one of the leading causes of long‐term disability worldwide, placing huge burdens
on individuals and society. Further, automatic human activity recognition is a challenging …

A Non-Intrusive speech quality evaluation algorithm for hearing aids via an auxiliary training task

R Liang, M Ju, F Kong, Y Xie, G Tang - Applied Acoustics, 2023 - Elsevier
With the increasing severity of hearing problems caused by an aging population, it has
become more urgent to study speech quality evaluation methods for hearing aids to …

Performance analysis of low complexity fully connected neural networks for monaural speech enhancement

H Reddy, A Kar, J Østergaard - Applied Acoustics, 2022 - Elsevier
We compare the run-time complexity of recent deep neural network (DNN) and non-DNN
based monaural speech enhancement algorithms. Specifically, we consider fully connected …

Evaluation of speech enhancement algorithms applied to electrolaryngeal speech degraded by noise

LR Mathew, K Gopakumar - Applied Acoustics, 2021 - Elsevier
Electrolaryngeal speech, for persons who have lost their larynx, suffers from the drawback of
susceptibility to acoustic noise, which includes inherent electrolarynx motor noise as well as …

Parallel and distributed structured SVM training

J Jiang, Z Wen, Z Wang, B He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Structured Support Vector Machines (structured SVMs) are a fundamental machine learning
algorithm, and have solid theoretical foundation and high effectiveness in applications such …

Fintech Index Prediction Based on RF‐GA‐DNN Algorithm

C Liu, Y Fan, X Zhu - Wireless Communications and Mobile …, 2021 - Wiley Online Library
The Fintech index has been more active in the stock market with the Fintech industry
expanding. The prediction of the Fintech index is significant as it is capable of instructing …

Gammatone Filter Bank-Deep Neural Network-based Monaural speech enhancement for unseen conditions

S Sivapatham, A Kar, MG Christensen - Applied Acoustics, 2022 - Elsevier
Speech signal enhancement achieves high-level performance in recent years using deep
learning techniques. However, the deep learning technique in the speech enhancement …

Virtual image representation and adaptive weighted score level fusion for genetic face recognition

S Deepa, A Bhagyalakshmi… - … : Select Proceedings of …, 2022 - Springer
Face recognition is the most interesting and wide area of research over the past few
decades. This research work proposes the effective virtual image representation and …