In this paper, we develop an in-memory analog computing (IMAC) architect...
Time of flight based Non-line-of-sight (NLOS) imaging approaches require...
Goods trade is a supply chain transaction that involves shippers buying ...
In this early draft, we present an end-to-end decentralized protocol for...
In this early draft, we describe a user-centric, card-based system for
v...
COVID-19 testing, the cornerstone for effective screening and identifica...
There is a growing need for spatial privacy considerations in the many
g...
The COVID-19 pandemic has challenged scientists and policy-makers
intern...
Recent deep learning models have shown remarkable performance in image
c...
In the current pandemic, testing continues to be the most important tool...
The COVID-19 Pandemic has left a devastating trail all over the world, i...
Companies provide annual reports to their shareholders at the end of the...
In this work we propose a WiFi colocation methodology for digital contac...
The adoption of digital contact tracing (DCT) technology during the
COVI...
The TC4TL (Too Close For Too Long) challenge is aimed towards designing ...
For distributed machine learning with sensitive data, we demonstrate how...
Several contact tracing solutions have been proposed and implemented all...
Manual contact tracing is a top-down solution that starts with contact
t...
In this work, we introduce SplitNN-driven Vertical Partitioning, a
confi...
In social-media platforms such as Twitter, Facebook, and Reddit, people
...
Contact tracing requires a strong understanding of the context of a user...
Contact tracing requires a strong understanding of the context of a user...
The ever-growing advances of deep learning in many areas including visio...
Containment, the key strategy in quickly halting an epidemic, requires r...
Clinical notes contain rich data, which is unexploited in predictive mod...
Neural Architecture Search (NAS) represents a class of methods to genera...
In this paper we investigate the usage of adversarial perturbations for ...
We compare communication efficiencies of two compelling distributed mach...
The proliferation of smartphones and wearable devices has increased the
...
In recent years, advances in the design of convolutional neural networks...