24 citations · 36 across the 7 of their papers we have counts for
7 papers
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Pegah Ahadian, Wei Xu, Sherry Wang +1
Sleep disorders have a major impact on both lifestyle and health. Effective sleep disorder prediction from lifestyle and physiological data can provide essential details for early…
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis
Pegah Ahadian, Yunhe Feng, Karl Kosko +2
Mathematics education, a crucial and basic field, significantly influences students' learning in related subjects and their future careers. Utilizing artificial intelligence to int…
An adaptive network-based approach for advanced forecasting of cryptocurrency values
Ali Mehrban, Pegah Ahadian
This paper describes an architecture for predicting the price of cryptocurrencies for the next seven days using the Adaptive Network Based Fuzzy Inference System (ANFIS). Historica…
Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
Pegah Ahadian, Maryam Babaei, Kourosh Parand
A brain tumor consists of cells showing abnormal brain growth. The area of the brain tumor significantly affects choosing the type of treatment and following the course of the dise…
Malware Detection in IOT Systems Using Machine Learning Techniques
Ali Mehrban, Pegah Ahadian
Malware detection in IoT environments necessitates robust methodologies. This study introduces a CNN-LSTM hybrid model for IoT malware identification and evaluates its performance…
evaluating bert and parsbert for analyzing persian advertisement data
Ali Mehrban, Pegah Ahadian
This paper discusses the impact of the Internet on modern trading and the importance of data generated from these transactions for organizations to improve their marketing efforts.…
Multimodal Learning for Multi-Omics: A Survey
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian +1
With advanced imaging, sequencing, and profiling technologies, multiple omics data become increasingly available and hold promises for many healthcare applications such as cancer d…