3 citations · 5 across the 4 of their papers we have counts for
5 papers
Resource-Scalable CNN Synthesis for IoT Applications
Mohammad Motamedi, Felix Portillo, Mahya Saffarpour +2
State-of-the-art image recognition systems use sophisticated Convolutional Neural Networks (CNNs) that are designed and trained to identify numerous object classes. Such networks a…
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms
Mohammad Motamedi, Felix Portillo, Daniel Fong +1
Many Internet-of-Things (IoT) applications demand fast and accurate understanding of a few key events in their surrounding environment. Deep Convolutional Neural Networks (CNNs) ha…
A Design Space Exploration (DSE) on Non-Invasive Sensing of Bladder Filling Using Near Infrared Spectroscopy (NIRS)
Mahya Saffarpour, Soheil Ghiasi
Urinary Incontinence (UI) is a widespread medical condition that affects one person from every three or four Americans. Near-Infrared Spectroscopy (NIRS) is a non-invasive under-st…
A Data-Driven Approach to Pre-Operative Evaluation of Lung Cancer Patients
Oleksiy Budilovsky, Golnaz Alipour, Andre Knoesen +2
Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have resectable tumors; however, their cardiopulmonary function needs to be properly eva…
Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips
Mohammad Motamedi, Daniel Fong, Soheil Ghiasi
Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks. As sensor-equipped Internet of Things (IoT) devices permeate into every aspec…