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Deep Convolutional and Generative Networks for Ocean Synoptic Feature Extraction and Super Resolution from Remotely Sensed Images
Accurate extraction of Synoptic Ocean Features and Downscaling of Ocean Features is crucial
for climate studies and the operational forecasting of ocean systems. With the advancement of
space and sensor technologies, the ...
Stabilized finite element schemes for computations of viscoelastic free-surface and two-phase flows
Viscoelastic flows can be found in a wide range of industrial and commercial applications
such as enhanced oil recovery, pesticide deposition, medicinal/pharmaceutical sprays, drug
delivery, injection molding, polymer ...
Improving Healing Outcomes in Diabetic Wounds by Understanding and Modulating Immune Responses
Diabetic Foot Ulcers (DFUs) are chronic wounds that show delayed or absence of healing in individuals with diabetes. Currently, diabetic wounds are managed clinically through regular debridement, pressure off-loading, ...
Electronic Photonic Circuit Design for RF Transceiver
RF over fibre (RoF) based communication system combines features of mm-wave and optical fibre communication. The RoF-based system has the advantage of both optical fibre systems (such as high bandwidth, signal transparency, ...
Droplet, Jets, and Leaky Surfaces
Surface structuring on a micro-nano scale, combined with a low surface energy coating, leads to anti-wetting properties. Such surfaces also exhibit other properties such as self-cleaning, antifouling, bacteriostatic, drag ...
Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs
X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ...
Towards Robust and Scalable Video Surveillance: Cross-modal and Domain Generalizable Person Re-identification
With rapid technological advances, one can easily find video surveillance systems deployed in public places such as malls, airports etc. as well as across private residential areas. These systems play a critical role in ...
Optimizing Matrix Multiplication for the REDEFINE Many-Core Co-processor
Matrix-matrix multiplication is an important operation for many applications and hence it is
required to be parallelized optimally for the architecture the applications will run on. REDE-
FINE is a many-core co-processor ...
Learning to Perceive Humans From Appearance and Pose
Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ...
Compiler controlled Task Management in Runtime Systems for Dynamic Data ow Model of Execution
For the past 40 years, relentless focus on Moore's Law transistor scaling has provided ever-increasing transistor performance and density. An ever increasing demand for large scale parallelism has driven hardware designers ...

