CVD level prediction processor using DNA computing

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks

A eukaryotic gene consists of multiple exons (protein coding regions) and introns (non-coding regions), and a splice junction refers to the boundary between a pair of exon and intron. Precise identification of spice junctions on a gene is important for deciphering its primary structure, function, and interaction. Experimental techniques for determining exon/intron boundaries include RNA-seq, wh...

Application-level Performance Prediction Across Multi-Core Processor Configurations

Multiple cores, simultaneous multi-threading, and onchip caches are important processor configurations for servers that support Internet applications. However, certain settings of the processor configurations may yield lower performance while consuming more power. Since processors account for a significant portion of the energy budget, up to 50-60% in low-end servers [4], inefficient processor ...

Prediction of Radiation Fog by DNA Computing

In this paper we propose a wet lab algorithm for prediction of radiation fog by DNA computing. The concept of DNA computing is essentially exploited for generating the classifier algorithm in the wet lab. The classifier is based on a new concept of similarity based fuzzy reasoning suitable for wet lab implementation. This new concept of similarity based fuzzy reasoning is different from convent...

Disassembler Using High Level Processor Models

The design of a high performance system requires an integrated environment to simulate and analyze the performance of various design alternatives. In this thesis, we have developed a generic disassembler for an integrated environment where Sim-nML acts as the speci cation language for processor performance model. The Sim-nML, an extension of nML machine description formalism, is a simple, elega...

Churn Prediction using Soft Computing