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Mehrad Jaloli, Ph.D.
Mehrad Jaloli, Ph.D.
在 hp.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Automatic detection and prediction of cybersickness severity using deep neural networks from user’s physiological signals
R Islam, Y Lee, M Jaloli, I Muhammad, D Zhu, P Rad, Y Huang, J Quarles
2020 IEEE international symposium on mixed and augmented reality (ISMAR …, 2020
652020
Automatic detection of cybersickness from physiological signal in a virtual roller coaster simulation
R Islam, Y Lee, M Jaloli, I Muhammad, D Zhu, J Quarles
2020 IEEE conference on virtual reality and 3D user interfaces abstracts and …, 2020
312020
Long-term prediction of blood glucose levels in type 1 diabetes using a cnn-lstm-based deep neural network
M Jaloli, M Cescon
Journal of diabetes science and technology 17 (6), 1590-1601, 2023
242023
Implicit life event discovery from call transcripts using temporal input transformation network
N Ebadi, B Lwowski, M Jaloli, P Rad
IEEE Access 7, 172178-172189, 2019
232019
Estimating brain effective connectivity from EEG signals of patients with autism disorder and healthy individuals by reducing volume conduction effect
F Salehi, M Jaloli, R Coben, AM Nasrabadi
Cognitive Neurodynamics 16 (3), 519-529, 2022
102022
Incorporating the effect of behavioral states in multi-step ahead deep learning based multivariate predictors for blood glucose forecasting in type 1 diabetes
M Jaloli, W Lipscomb, M Cescon
BioMedInformatics 2 (4), 715-726, 2022
82022
A proposed algorithm for the detection of thyroid cancer based on image processing
M Jaloli, M Fathi, SM Mohammadi, R Abbasi Kesbi
Journal of Bioengineering Research 1 (3), 7-14, 2019
82019
Predicting Blood Glucose Levels Using CNN-LSTM Neural Networks
M Jaloli, M Cescon
Diabetes Technology Meeting, 2020
42020
Neurological Status Classification Using Convolutional Neural Network
M Jaloli, D Choudhary, M Cescon
IFAC-PapersOnLine 53 (5), 409-414, 2020
42020
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology
M Jaloli, M Cescon
arXiv preprint arXiv:2307.08897, 2023
12023
Reinforcement Learning for Multiple Daily Injection (MDI) Therapy in Type 1 Diabetes (T1D)
M Jaloli, M Cescon
BioMedInformatics 3 (2), 422-433, 2023
12023
System and method for predicting blood-glucose concentration
M Cescon, M Jaloli
US Patent App. 17/889,611, 2023
12023
Demonstrating the Effect of Daily Physical Activities on Blood Glucose Level Variation in Type 1 Diabetes
M Jaloli, M Cescon
DIABETES TECHNOLOGY & THERAPEUTICS 24, A79-A79, 2022
12022
Model Predictive Control (MPC) of an artificial pancreas with data-driven learning of multi-step-ahead blood glucose predictors
EM Aiello, M Jaloli, M Cescon
Control Engineering Practice 144, 105810, 2024
2024
Modeling Physical Activity Impact on Glucose Dynamics in People with Type 1 Diabetes for a Fully Automated Artificial Pancreas
M Jaloli, M Cescon
2023 IEEE Conference on Control Technology and Applications (CCTA), 546-551, 2023
2023
Managing Blood Glucose Concentration in Type 1 Diabetes with Deep Learning-Based Methodologies
M Jaloli
2023
DEMONSTRATING THE EFFECT OF DAILY STRESS ON BLOOD GLUCOSE LEVEL VARIATION IN TYPE 1 DIABETES
M Jaloli, M Cescon
DIABETES TECHNOLOGY & THERAPEUTICS 24, A234-A234, 2022
2022
Characterising Sympathetic Response with Power Spectral Density Analysis
D Choudhary, M Jaloli, M Cescon
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
2020
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