Hypothermia is a critical condition in which the human body starts to lose heat faster than it can produce resulting in extremely low body temperatures. Specifically, when the core body temperature drops below 95 degrees, ...

Detection of cancer has always been one of the most important and valued tasks in the history of ofmedical science. In this project, we're trying to build some sort of a search engine where a person can feed their genomic ...

The Automatic Speaker Verification (ASV) systems have potential in biomet- rics applications for logical control access and authentication. A lot of things happen to be at stake if the ASV system is compromised. The questions ...

Java implements a garbage-collected heap with the inability to deallocate objects manually. This can lead to huge objects sitting in memory for longer than intended. Also, the delayed release memory back to the operating ...

Using the publicly available data-sets and the surveys, we aim to design a web-portal that would be able to provide insights into venues that are considered important for research as well as information of researchers ...

Embedded System labs involve working on Field Programmable Gate Arrays (FPGAs) and Zynq System-on-Chips (SoC). The key aspect is that these boards can be programmed and tested remotely. However, conducting remote labs for ...

Digital VLSI design verification is a process of checking and verifying the correctness of design functionality with respect to the documented specications. Functional verification of a complex IP or sub-system, formed by ...

Open Information Extraction (Open IE) is the task of extracting triples (subject, predicate, object) from plain text. Tools that perform these extractions are called Open IE extractors. While benchmarks to evaluate the ...

Alzheimer’s disease is progressing as the most prevalent neurological disorder world- wide. It is the most common cause of dementia in ageing society. An artificial Neural Network (ANN) is a set of neural networks which ...

Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...