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Lei Chen, Zhihao Wang, Ru Huo and Tao Huang
As an essential piece of infrastructure supporting cyberspace security technology verification, network weapons and equipment testing, attack defense confrontation drills, and network risk assessment, Cyber Range is exceptionally vulnerable to distribute...
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Nayef Alqahtani, Shadab Alam, Ibrahim Aqeel, Mohammed Shuaib, Ibrahim Mohsen Khormi, Surbhi Bhatia Khan and Areej A. Malibari
Dementias that develop in older people test the limits of modern medicine. As far as dementia in older people goes, Alzheimer?s disease (AD) is by far the most prevalent form. For over fifty years, medical and exclusion criteria were used to diagnose AD,...
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Ahmed J. Obaid and Hassanain K. Alrammahi
Recognizing facial expressions plays a crucial role in various multimedia applications, such as human?computer interactions and the functioning of autonomous vehicles. This paper introduces a hybrid feature extraction network model to bolster the discrim...
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Sultan Ahmed Almalki, Ahmed Abdel-Rahim and Frederick T. Sheldon
The adoption of cooperative intelligent transportation systems (cITSs) improves road safety and traffic efficiency. Vehicles connected to cITS form vehicular ad hoc networks (VANET) to exchange messages. Like other networks and systems, cITSs are targete...
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Tu T. Nguyen, Pham Thanh Tung, Nguyen Ngoc Tan, Nguyen Ngoc Linh and Trinh Tu Luc
The applications of the deep belief network (DBN) for addressing practical engineering issues have recently emerged all over the world thanks to its accuracy and availability of data. In this paper, a predictive model using DBN was employed to investigat...
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Shenglong Zhang
A high-accuracy objective function evaluation method is crucial in ship hull form optimization. This study proposes a novel approximate ship hull form optimization framework using the deep learning technology, deep belief network algorithm. To illustrate...
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Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
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Athanasios Kallipolitis, Kyriakos Revelos and Ilias Maglogiannis
The extended utilization of digitized Whole Slide Images is transforming the workflow of traditional clinical histopathology to the digital era. The ongoing transformation has demonstrated major potentials towards the exploitation of Machine Learning and...
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Daniel S. Berman, Anna L. Buczak, Jeffrey S. Chavis and Cherita L. Corbett
This survey paper describes a literature review of deep learning (DL) methods for cyber security applications. A short tutorial-style description of each DL method is provided, including deep autoencoders, restricted Boltzmann machines, recurrent neural ...
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Ingo Jost, Joao Francisco Valiati
Pág. 91 - 102
Deep Learning has been successfully applied in hard to solve areas, such as image recognition and audioclassification. However, Deep Learning has not yet reached the same performance when employed in textual data,including Opinion Mining. In models that ...
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