5 citations · 9 across the 6 of their papers we have counts for
6 papers
Digital Twin and Agentic AI for Wild Fire Disaster Management: Intelligent Virtual Situation Room
Mohammad Morsali, Siavash H. Khajavi
According to the United Nations, wildfire frequency and intensity are projected to increase by approximately 14% by 2030 and 30% by 2050 due to global warming, posing critical thre…
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability
Mohammad Hossein Najafi, Mohammad Morsali, Mohammadreza Pashanejad +3
Deep neural networks for medical image classification often fail to generalize consistently in clinical practice due to violations of the i.i.d. assumption and opaque decision-maki…
A Low-Computational Video Synopsis Framework with a Standard Dataset
Ramtin Malekpour, M. Mehrdad Morsali, Hoda Mohammadzade
Video synopsis is an efficient method for condensing surveillance videos. This technique begins with the detection and tracking of objects, followed by the creation of object tubes…
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
Mohammad Hossein Najafi, Mohammad Morsali, Mohammadmahdi Vahediahmar +1
Recent advancements in deep learning, particularly in medical imaging, have significantly propelled the progress of healthcare systems. However, examining the robustness of medical…
SFSORT: Scene Features-based Simple Online Real-Time Tracker
M. M. Morsali, Z. Sharifi, F. Fallah +3
This paper introduces SFSORT, the world's fastest multi-object tracking system based on experiments conducted on MOT Challenge datasets. To achieve an accurate and computationally…
Face: Fast, Accurate and Context-Aware Audio Annotation and Classification
M. Mehrdad Morsali, Hoda Mohammadzade, Saeed Bagheri Shouraki
This paper presents a context-aware framework for feature selection and classification procedures to realize a fast and accurate audio event annotation and classification. The cont…