8 citations · 11 across the 5 of their papers we have counts for
6 papers
NPLSD: Accelerating Line-Segment Detection on NPU Microcontrollers
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line-segment detection is fundamental to robotics, autonomous navigation, and industrial inspection. While transformer-based detectors achieve the highest accuracy, their deploymen…
A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Line segment detection is a critical preprocessing step in embedded vision applications such as autonomous navigation, visual SLAM, and industrial inspection. Deep learning methods…
Hardware-Enabled Fuzzy Inference: Architectures, Platforms, and Emerging Trends
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Fuzzy logic systems are widely used for intelligent decision-making under uncertainty, offering interpretability and robustness across diverse applications. However, the growing de…
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly improved accuracy, yet even t…
Machine Learning-Driven Open-Source Framework for Assessing QoE in Multimedia Networks
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, Abolfazl Diyanat
The Internet is integral to modern life, influencing communication, business, and lifestyles globally. As dependence on Internet services grows, the demand for high-quality service…
Enhancing Quality of Experience in Telecommunication Networks: A Review of Frameworks and Machine Learning Algorithms
Parsa H. S. Panahi, Amir H. Jalilvand, Abolfazl Diyanat
The Internet service provider industry is currently experiencing intense competition as companies strive to provide top-notch services to their customers. Providers are introducing…