Prediction of Swelling Index Using Advanced Machine Learning Techniques for Cohesive Soils

Relation between swelling and erodibility of cohesive soils

Gene Prediction Using Machine Learning Techniques

The basic purpose of the research work aims at predicting the genes of interest in molecular sequence databases using machine learning techniques like neural networks, decision trees, data mining, hidden markov models etc The primary focus of the research will be on proposing new or improving already existing ab initio and homology based methods for gene prediction. The proposed methods will be...

Using Machine Learning Techniques for Advanced Passive Operating System Fingerprinting

TCP/IP fingerprinting is the active or passive collection of information usually extracted from a remote computer’s network stack. The combination of such information can be then used to infer the remote operating system (OS fingerprinting). OS fingerprinting is traditionally based on a database of “signatures”. A signature comprises several features (i.e., pairs attribute/value) extracted from...

Advanced Machine Learning Techniques for Digital Mammography

A common thinking about the science is that every possible achievement can be pursued, provided that we have time and funds available for that purpose. On top of all this, recent technological achievements have carried this thinking to extremes, due to the speed of technological change sweeping through the world, which led to new momentous discoveries. Hence for researchers themselves there is ...

Using Machine Learning Techniques for Performance Prediction on Multi-Cores

Sharing of resources by the cores of multi-core processors brings performance issues for the system. Majority of the shared resources belong to memory hierarchy sub-system of the processors such as last level caches, prefetchers and memory buses. Programs co-running on the cores of a multi-core processor may interfere with each other due to usage of such shared resources. Such interference caus...