1405/04/25
English
مجید سپهوند

مجید سپهوند

مرتبه علمی: استادیار
ارکید: https://orcid.org/0000-0002-4451-2054
تحصیلات: دکترای تخصصی
شاخص H:
دانشکده: دانشکده فنی مهندسی
اسکولار: مشاهده
پست الکترونیکی: m-sepahvand [at] araku.ac.ir
اسکاپوس: مشاهده
تلفن:
ریسرچ گیت: مشاهده
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مقاله چاپ‌شده
چکانش دانش چندمرحله‌ای بر پایه بازنمایی‌های مبتنی بر زیر‌فضا مجید سپهوند (1404)
Synthetic photoplethysmogram (PPG) signal generation using a genetic programming-based generative model Fatemeh Ghasemi, Majid Sepahvand, Maytham N. Meqdad, Fardin Abdali Mohammadi (2024)
State-of-the-art in human activity recognition based on inertial measurement unit sensors: survey and applications Majid Sepahvand, Maytham N. Meqdad, Fardin Abdali Mohammadi (2024)
Fault tolerance challenges in wearable computing for vital applications: a survey Majid Sepahvand, Maytham N. Meqdad, Fardin Abdali Mohammadi (2024)
Leveraging bone age assessment via a novel joint decomposition teacher–student learning paradigm from X-ray images Majid Sepahvand, Fardin Abdali Mohammadi, Maytham N. Meqdad (2024)
Human activity recognition based on multiple inertial sensors through feature-based knowledge distillation paradigm Malihe Mardanpour, Majid Sepahvand, Fardin Abdali Mohammadi, Mahya Nikouei, Homeyra Sarabi (2023)
Joint Learning Method with Teacher–Student Knowledge Distillation for On-Device Breast Cancer Image Classification Majid Sepahvand, Fardin Abdali Mohammadi (2023)
An adaptive teacher–student learning algorithm with decomposed knowledge distillation for on-edge intelligence Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi (2023)
Teacher–student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi (2022)
Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method Majid Sepahvand, Fardin Abdali Mohammadi (2022)
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation Majid Sepahvand, Fardin Abdali Mohammadi (2022)
A novel representation in genetic programming for ensemble classification of human motions based on inertial signals Majid Sepahvand, Fardin Abdali Mohammadi (2021)
A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN Majid Sepahvand, Fardin Abdali Mohammadi (2021)
A Deep Learning-Based Compression Algorithm for 9-DOF Inertial Measurement Unit Signals Along With an Error Compensating Mechanism Majid Sepahvand, Fardin Abdali Mohammadi (2019)
Evolutionary Metric-Learning-Based Recognition Algorithm for Online Isolated Persian/Arabic Characters, Reconstructed Using Inertial Pen Signals Majid Sepahvand, Fardin Abdali Mohammadi, Farhad Mardukhi (2017)

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