Results 21 to 30 of about 75,080 (277)

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder

Frontiers in Systems Neuroscience, 2020
Emotion classification based on brain–computer interface (BCI) systems is an appealing research topic. Recently, deep learning has been employed for the emotion classifications of BCI systems and compared to traditional classification methods improved ...
Junxiu Liu, Junxiu Liu, Guopei Wu, Guopei Wu, Yuling Luo, Yuling Luo, Senhui Qiu, Senhui Qiu, Senhui Qiu, Su Yang, Wei Li, Wei Li, Yifei Bi, Yifei Bi   +13 more
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Abnormal head movement classification using deep neural network DNN [PDF]

AIP Conference Proceedings, 2019
Abnormal head movements play a crucial role in diagnoisis of varity diseases. Moreover, different studies considered with these type of information. In addition, the gestures based mainly on head movement which can be employed in many applications such as using head-nodding or shaking to feedback content-related feedback, detect and interpret the ...
Noor D. Al-Shakarchy, Israa Hadi Ali
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Assessment of the Robustness of Deep Neural Networks (DNNs)

, 2023
In the past decade, Deep Neural Networks (DNNs) have demonstrated outstanding performance in various domains. However, recently, some researchers have shown that DNNs are surprisingly vulnerable to adversarial attacks. For instance, adding a small, human-imperceptible perturbation to an input image can fool DNNs, enabling the model to make an ...
Mu, Ronghui, Soriano Marcolino, Leandro, Ni, Qiang, Ruan, Wenjie   +3 more
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Cylinder Pressure Prediction of An HCCI Engine Using Deep Learning

Chinese Journal of Mechanical Engineering, 2021
Engine tests are both costly and time consuming in developing a new internal combustion engine. Therefore, it is of great importance to predict engine characteristics with high accuracy using artificial intelligence. Thus, it is possible to reduce engine
Halit Yaşar, Gültekin Çağıl, Orhan Torkul, Merve Şişci   +3 more
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FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model

Mathematical Biosciences and Engineering, 2022
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common cardiovascular disease.
Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol , Roohallah Alizadehsani , Zahra Alizadeh Sani, Fereshteh Hasanzadeh , Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor   +8 more
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Predicting oral disintegrating tablet formulations by neural network techniques

Asian Journal of Pharmaceutical Sciences, 2018
Oral disintegrating tablets (ODTs) are a novel dosage form that can   Peer review under responsibility of Shenyang Pharmaceutical University. be dissolved on the tongue within 3 min or less especially for geriatric and pediatric patients.
Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang   +3 more
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Application of Deep Learning Techniques to Predict the Mechanical Strength of Al-Steel Explosive Clads

Metals, 2023
In this study, the tensile and shear strengths of aluminum 6061-differently grooved stainless steel 304 explosive clads are predicted using deep learning algorithms, namely the conventional neural network (CNN), deep neural network (DNN), and recurrent ...
Somasundaram Saravanan, Kanagasabai Kumararaja, Krishnamurthy Raghukandan   +2 more
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A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network

Frontiers in Computational Neuroscience, 2022
To classify the texts accurately, many machine learning techniques have been utilized in the field of Natural Language Processing (NLP). For many pattern classification applications, great success has been obtained when implemented with deep learning ...
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won   +3 more
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Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Assessing the severity level of dysarthria can provide an insight into the patient’s improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech recognition systems.
Amlu Anna Joshy, Rajeev Rajan
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Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features

, 2017
Stacking-based deep neural network (S-DNN), in general, denotes a deep neural network (DNN) resemblance in terms of its very deep, feedforward network architecture.
Low, Cheng-Yaw, Teoh, Andrew Beng-Jin
core   +1 more source