Search Results - "Duy Truong, Nhan"

Neuromorphic deep spiking neural networks for seizure detection by Yang, Yikai, Eshraghian, Jason K, Duy Truong, Nhan, Nikpour, Armin, Kavehei, Omid

“…Abstract The vast majority of studies that process and analyze neural signals are conducted on cloud computing resources, which is often necessary for the…”
Get full text

Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram by Truong, Nhan Duy, Nguyen, Anh Duy, Kuhlmann, Levin, Bonyadi, Mohammad Reza, Yang, Jiawei, Ippolito, Samuel, Kavehei, Omid

“…Seizure prediction has attracted growing attention as one of the most challenging predictive data analysis efforts to improve the life of patients with…”
Get full text

Continental generalization of a human-in-the-loop AI system for clinical seizure recognition by Yang, Yikai, Truong, Nhan Duy, Maher, Christina, Nikpour, Armin, Kavehei, Omid

“…Electroencephalogram (EEG) monitoring and objective seizure identification is an essential clinical investigation for some patients with epilepsy. Accurate…”
Get full text

Supervised learning in automatic channel selection for epileptic seizure detection by Truong, Nhan Duy, Kuhlmann, Levin, Bonyadi, Mohammad Reza, Yang, Jiawei, Faulks, Andrew, Kavehei, Omid

“…•An automatic channel selection for seizure detection is proposed.•Computational efficiency is improved by 49.4%, while maintaining accuracy close to…”
Get full text

A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification by Yang, Yikai, Truong, Nhan Duy, Eshraghian, Jason K., Maher, Christina, Nikpour, Armin, Kavehei, Omid

“…Artificial intelligence (AI) and health sensory data-fusion hold the potential to automate many laborious and time-consuming processes in hospitals or…”
Get full text

Opportunities for Electroceuticals in Epilepsy by Kavehei, Omid, Hamilton, Tara Julia, Truong, Nhan Duy, Nikpour, Armin

“…Epilepsy is a neurological disorder that affects ∼1% of the world population. Nearly 30% of epilepsy patients suffer from pharmacoresistant epilepsy that…”
Get full text

Epileptic Seizure Forecasting with Generative Adversarial Networks by Truong, Nhan Duy, Kuhlmann, Levin, Bonyadi, Mohammad Reza, Querlioz, Damien, Zhou, Luping, Kavehei, Omid

“…Many outstanding studies have reported promising results in seizure forecasting, one of the most challenging predictive data analysis problems. This is mainly…”
Get full text

Integer Convolutional Neural Network for Seizure Detection by Truong, Nhan Duy, Nguyen, Anh Duy, Kuhlmann, Levin, Bonyadi, Mohammad Reza, Yang, Jiawei, Ippolito, Samuel, Kavehei, Omid

“…Outstanding seizure detection algorithms have been developed over past two decades. Despite this success, their implementations as part of implantable or…”
Get full text

Machine Learning Cryptanalysis of a Quantum Random Number Generator by Nhan Duy Truong, Jing Yan Haw, Assad, Syed Muhamad, Lam, Ping Koy, Kavehei, Omid

“…Random number generators (RNGs) that are crucial for cryptographic applications have been the subject of adversarial attacks. These attacks exploit…”
Get full text

AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes by Mondol, Raktim Kumar, Truong, Nhan Duy, Reza, Mohammad, Ippolito, Samuel, Ebrahimie, Esmaeil, Kavehei, Omid

“…Technological advancements in high-throughput genomics enable the generation of complex and large data sets that can be used for classification, clustering,…”
Get full text

Design and evaluation of a low-cost street-level image capturing vehicle for south-east Asia by Tony de Souza-Daw, Ross, Robert, Truong, Duy Nhan, Le Anh Hung, Nguyen Duc Quoc Trung, Le Hai Chau, Hoang Minh Phuong, Le, Hoang Ngoc, Mathews Nkhoma

“…Purpose – The purpose of this paper is to present a low-cost, highly mobile system for performing street-level imaging. Street-level imaging and…”
Get full text

Nano-Intrinsic True Random Number Generation: A Device to Data Study by Kim, Jeeson, Nili, Hussein, Truong, Nhan Duy, Ahmed, Taimur, Yang, Jiawei, Jeong, Doo Seok, Sriram, Sharath, Ranasinghe, Damith C., Ippolito, Samuel, Chun, Hosung, Kavehei, Omid

“…We present a circuit technique to extract true random numbers from carrier capture and emission in oxide traps in the emerging redox-based resistive memory…”
Get full text

Weak self-supervised learning for seizure forecasting: a feasibility study by Yang, Yikai, Truong, Nhan Duy, Eshraghian, Jason K, Nikpour, Armin, Kavehei, Omid

“…This paper proposes an artificial intelligence system that continuously improves over time at event prediction using initially unlabelled data by using…”
Get full text

Seizure detection with reduced electroencephalogram channels: research trends and outlook by Maher, Christina, Yang, Yikai, Truong, Nhan Duy, Wang, Chenyu, Nikpour, Armin, Kavehei, Omid

“…Epilepsy is a prevalent condition characterized by recurrent, unpredictable seizures. Monitoring with surface electroencephalography (EEG) is the gold standard…”
Get full text

Seizure Susceptibility Prediction in Uncontrolled Epilepsy by Truong, Nhan Duy, Yang, Yikai, Maher, Christina, Kuhlmann, Levin, McEwan, Alistair, Nikpour, Armin, Kavehei, Omid

“…Epileptic seizure forecasting, combined with the delivery of preventative therapies, holds the potential to greatly improve the quality of life for epilepsy…”
Get full text

On-device edge-learning for cardiac abnormality detection using a bio-inspired and spiking shallow network by Huang, Zhaojing, Leung, Wing Hang, Yu, Leping, Herbozo Contreras, Luis Fernando, Zhang, Ziyao, Truong, Nhan Duy, Nikpour, Armin, Kavehei, Omid

“…This work introduces on-device edge learning for cardiac abnormality detection by merging spiking 2D Convolutional Long-Short-Term Memory (ConvLSTM2D) with a…”
Get full text

Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing unit by Huang, Zhaojing, Leung, Wing Hang, Cui, Jiashuo, Yu, Leping, Herbozo Contreras, Luis Fernando, Truong, Nhan Duy, Nikpour, Armin, Kavehei, Omid

“…This manuscript introduces a novel method for cardiac abnormality detection by combining the Diagonal State Space Sequence (S4D) model with the Closed-form…”
Get full text

Semi-supervised Seizure Prediction with Generative Adversarial Networks by Truong, Nhan Duy, Zhou, Luping, Kavehei, Omid

“…Many outstanding studies have reported promising results in seizure prediction that is considered one of the most challenging predictive data analysis. This is…”
Get full text

A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG by Yang, Yikai, Truong, Nhan Duy, Maher, Christina, Nikpour, Armin, Kavehei, Omid

“…The majority of studies for automatic epileptic seizure (ictal) detection are based on electroencephalogram (EEG) data, but electrocardiogram (ECG) presents a…”
Get full text

Low Precision Electroencephalogram for Seizure Detection with Convolutional Neural Network by Truong, Nhan Duy, Kavehei, Omid

“…Electroencephalogram (EEG) neural activity recording has been widely used for diagnosing and monitoring epileptic patients. Ambulatory epileptic monitoring…”
Get full text