Recent years have seen an exploration of data volumes from a myriad of IoT devices, such
as various sensors and ubiquitous cameras. The deluge of IoT data creates enormous …

Deep learning has improved state-of-the-art results in many important fields, and has been
the subject of much research in recent years, leading to the development of several systems …

There are significant benefits to serve deep learning models from relational databases. First,
features extracted from databases do not need to be transferred to any decoupled deep …

This paper focuses on similarity caching systems, in which a user request for an object that
is not in the cache can be (partially) satisfied by a similar stored object, at the cost of a loss of …

A similarity cache can reply to a query for an object with similar objects stored locally. In
some applications of similarity caches, queries and objects are naturally represented as …

This paper focuses on similarity caching systems, in which a user request for an object o that
is not in the cache can be (partially) satisfied by a similar stored object o', at the cost of a loss …

Deep learning has improved state-of-the-art results in many important fields, and has been
the subject of much research in recent years, leading to the development of several systems …

Now day's blood smear evaluation is a most common clinical test for the hematologists. In
Most of the cases like Neutrophilia, Acute leukemia, the hematologists are eager to know …

Caching is a simple yet powerful technique that has had a significant impact on improving
the performance of various computer systems. From internet content delivery to CPUs …