[HTML][HTML] Assessment of hybrid transfer learning method for forecasting EV profile and system voltage using limited EV charging data

P Banda, MA Bhuiyan, KN Hasan, K Zhang - Sustainable Energy, Grids …, 2023 - Elsevier
The number of electric vehicles (EV) is increasing exponentially, significantly affecting the
planning and operation of future electricity grids, albeit the availability of EV data is very …

Content-based encrypted speech retrieval scheme with deep hashing

Q Zhang, X Zhao, Q Zhang, Y Li - Multimedia Tools and Applications, 2022 - Springer
In order to improve the limitations of manual features and poor feature semantics in the
feature extraction process of existing content-based encrypted speech retrieval methods …

[HTML][HTML] Transformer-based subject-sensitive hashing for integrity authentication of high-resolution remote sensing (HRRS) images

K Ding, S Chen, Y Zeng, Y Wang, X Yan - Applied Sciences, 2023 - mdpi.com
Featured Application The transformer based subject-sensitive hashing algorithm proposed
in this paper could be applied to data security of HRRS images to provide integrity …

Efficient encrypted speech retrieval based on hadoop cluster under SW CPU

H Li, X Jing, Y Zhang, Y Huang, J Shen - Multimedia Tools and …, 2024 - Springer
Most encrypted speech retrieval algorithms are over-optimized for discriminability and
robustness, which leads to poor security and efficiency. And it's inefficient to compute large …

A classification retrieval method for encrypted speech based on deep neural network and deep hashing

Q Zhang, X Zhao, Y Hu - IEEE Access, 2020 - ieeexplore.ieee.org
In order to improve the retrieval efficiency and accuracy of the existing encrypted speech
retrieval methods, and improve the semantic representation of speech features and …

Analysis of influencing features with spectral feature extraction and multi-class classification using deep neural network for speech recognition system

DK Anguraj, J Anitha, SJJ Thangaraj, L Ramesh… - International Journal of …, 2022 - Springer
There is a drastic need for extracting information from non-linguistic features of the audio
sources. It leads to the eminent rise of speech technology over the past few decades. It is …

[HTML][HTML] Research on Emotion Analysis and Psychoanalysis Application With Convolutional Neural Network and Bidirectional Long Short-Term Memory

B Liu - Frontiers in Psychology, 2022 - frontiersin.org
This study mainly focuses on the emotion analysis method in the application of
psychoanalysis based on sentiment recognition. The method is applied to the sentiment …

DS2B: Dynamic and secure substitution box for efficient speech encryption engine

MF Tolba, H Saleh, Y Al Salami, M Al-Qutayri… - IEEE …, 2021 - ieeexplore.ieee.org
This paper proposes an efficient encryption technique based on Dynamic and Secure
Substitution Box (DS2B) design suitable for IoT and resource-constrained platforms. The …

[PDF][PDF] A Hyperchaotic Encrypted Speech Perceptual Hashing Retrieval Algorithm Based on 2D-Gabor Transform

Y Huang, S Wang, Y Wang, Y Zhang… - International Journal of …, 2021 - ijns.jalaxy.com.tw
A hyperchaotic encrypted speech perceptual hashing retrieval algorithm based on 2D-
Gabor transform and PCA dimension reduction has been proposed in this paper. The …

[PDF][PDF] Dynamic and Secure Substitution Box for Efficient Speech Encryption Engine

S Bhakthavathsalam, SL Lakshmi - 2023 - academia.edu
The Dynamic and Secure Substitution Box (DS2B) design suitable for IoT and resource-
constrained platforms for efficient encryption. The DS2B has the advantages of simple …