[PDF][PDF] Speech recognition utilizing deep learning: A systematic review of the latest developments
Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …
transcription of spoken language in real time. Numerous studies have been conducted on …
An illustration of model agnostic explainability methods applied to environmental data
Historically, two primary criticisms statisticians have of machine learning and deep neural
models is their lack of uncertainty quantification and the inability to do inference (ie, to …
models is their lack of uncertainty quantification and the inability to do inference (ie, to …
The impact of image enhancement and transfer learning techniques on marine habitat map**
E Shaker, MR Baker, Z Mahmood - Gazi University Journal of …, 2022 - dergipark.org.tr
Marine habitat map** is primarily done to monitor and preserve underwater ecosystems.
Images captured in a marine environment suffer from acidification, pollutions, waste …
Images captured in a marine environment suffer from acidification, pollutions, waste …
[PDF][PDF] Application of Improved Convolutional Neural Network in Text Classification.
L Ronghui, W **nhong - IAENG International Journal of Computer …, 2022 - iaeng.org
Text classification is a basic problem in the field of natural language processing. The model
based on deep learning is a common model to deal with this problem. However, there are …
based on deep learning is a common model to deal with this problem. However, there are …
Information retrieval system of Arabic alphabetic characters by using hidden Markov Model
In this paper, recognizing Arabic printed text is presented. A long time ago Recognizing the
Arabic text has received great interest in information technology applications, as the Arabic …
Arabic text has received great interest in information technology applications, as the Arabic …
[PDF][PDF] Enhancement and modification of automatic speaker verification by utilizing hidden Markov model
The purpose of this study is to discuss the design and implementation of autonomous
surface vehicle (ASV) systems. There'sa lot riding on the advancement and improvement of …
surface vehicle (ASV) systems. There'sa lot riding on the advancement and improvement of …
Artificial Intelligence Models in Pattern Recognition
Pattern recognition is a complicated process that involves analyzing the data that are being
inputted, removing patterns from the data, attempting to compare the patterns to specific …
inputted, removing patterns from the data, attempting to compare the patterns to specific …
The Optimization of Digital Art Teaching Platform based on Information Technology and Deep Learning
Y Liu, YC Ko - IEEE Access, 2023 - ieeexplore.ieee.org
The study aims to improve the daily teaching level of the school and make students enjoy
better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are …
better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are …
Reinforcement Learning for Speech Recognition using Recurrent Neural Networks
This work describes a voice recognition system that does not need an intermediate phonetic
representation to convert audio input to text. The system is based on a mix of the the …
representation to convert audio input to text. The system is based on a mix of the the …
[PDF][PDF] Improve a secure blind watermarking technique for digital video
FHMS Al-Kadei, SN Hasan - Periodicals of Engineering and …, 2022 - researchgate.net
In recent years, digital watermark video has become increasingly popular in a range of
industries, but because it is widely available on the Internet, it is simple to make unlawful …
industries, but because it is widely available on the Internet, it is simple to make unlawful …