In recent years, there has been a notable surge in the development of methods dedicated to classifying hyper spectral image samples. However, the inherent high dimensionality of hyper spectral data presents significan...
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The process of digital transformation is part of the 4.0 industrial revolution. Through digital transformation, it is hoped that all processes inside an organization will function more efficiently. Internet technology...
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The paper results concern automatic parallel program generation based on a program dependence approximation technique. Dependence approximation allows us to directly form linear time partition constraints necessary fo...
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Academic information service is the most critical factor that must be considered in a university. Service quality is an important indicator affecting all academics’ satisfaction and loyalty. Improvement of informatio...
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In analyzing and recognizing wrist pulse signals, it isn’t easy to mine the nonlinear information of wrist pulse signals using analysis methods such as time and frequency. Traditional machine learning methods require...
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Student engagement is a primary driver related to the student experience that influences student performance in online environment. It is considered to be one of the better predictors of student learning ensuring the ...
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Image Caption generation is one of the challenging tasks in the field of artificial intelligence. It is used to generate a textual description for a given picture. But due to, the recent advancement in deep learning t...
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Automatic speech recognition (ASR) aims to convert human speech signal into text, where the quality of the speech signal is essential to assure correct recognition. However, some people suffer speech disorders (SD) of...
Automatic speech recognition (ASR) aims to convert human speech signal into text, where the quality of the speech signal is essential to assure correct recognition. However, some people suffer speech disorders (SD) of various kinds such as distortion and substitution, which may degrade the recognition of the speech signal in ASR domain. Based on our literature investigation, most of the available ASR systems handle normal/regular speech with no consideration for SD and disabilities. This paper provides a comprehensive review on Arabic ASR for speakers suffering SD. In this paper, classifications of SD are provided. In addition, research attempts on Arabic ASR for speakers suffering SD are also highlighted in order to identify the benchmark datasets, tools, algorithms, and research gaps. To the best of our knowledge, all previous research attempts on Arabic ASR for speakers suffering SD focused on the Arabic letter /r/ in limited isolated words mode. This shows that there is a need to consider other types of SD in ASR domain for Arabic language, and consider continuous speech mode. In addition, Arabic speech datasets are very limited for SD research, which can be treated as an important research gap to be considered.
Cloud computing has the ability to work in a predestined manner. The main technology is virtualization. This generalizes the physical infrastructure. This helps us to manage easily. In this work, based on the needs th...
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The focus of this work is to present a novel methodology utilizing the classical SLAM technique and integrating with the swarm agents for localizing, guiding, and retrieving the agents towards the optimal path while u...
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