Research Paper On Computer Engineer

Purang Abolmaesumi and Dr. The paper describes methods of improving the accuracy of locating 3D ultrasound images used for image-guided surgeries and procedures.

Ultrasound navigation is an emerging imaging technology used in many procedures including neurosurgery, orthopaedic surgery and radiation therapy because it is real-time, relatively inexpensive and non-invasive. By attaching a position sensor to a conventional 2D ultrasound probe, 3D images can be constructed.

The main challenge of this type of imaging is to precisely locate ultrasound image with respect to sensors on the transducer.]

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Clarkson Electrical and Computer Engineering Team Publish Paper on Artificial intelligence for Resource-Constrained Devices Release Date Friday August 6, Figure: An overview of the deep learning model deployment process on resource-constrained devices, which are widely used in modern autonomous robotics applications. Due to the success of research on deep learning methods, the last ten years have seen an explosion in the development of artificial intelligence AI techniques for a wide variety of applications. Deep learning broadly refers to a class of algorithms that mimic the human brain structure and can be used to build systems that learn from previous data. Techniques based on deep learning have allowed ever more large and sophisticated machine learning models to be built and deployed, allowing a very rich set of complex problems to be solved. However, deep learning is computationally expensive, severely limiting its use on resource-constrained devices like single-board computers. Sarwar Murshed have been working on designing novel techniques for deploying deep-learning-based intelligent systems in resource-constrained settings by optimizing models that can be used on edge devices. The paper describes a new dataset of images for supermarket floor hazards and a new deep learning model named EdgeLite to automatically identify such hazards, specifically intended to be used in extremely resource-constrained settings. EdgeLite processes all the images locally to allow it to be used to monitor supermarket floors in real-time.

Research Paper On Computer Engineer