1. APPLICATION OF BAT ALGORITHM-BASED METHOD FOR MULTI-OBJECTIVE OPTIMAL NETWORK RECONFIGURATION AND DISTRIBUTED GENERATION PLACEMENT IN RADIAL DISTRIBUTION NETWORK
ABSTRACT
This study presents an Application of Bat Algorithm-Based Method (BA) forMultiObjective Optimal Network Reconfiguration andDistributed Generation placement in Radial Distribution Network. The BA approach presented in this work enables the reconfiguration of the network as well...
2. DEVELOPMENT OF THREE DEGREE OF FREEDOM CONTROLLER FOR SHELL AND TUBE HEAT EXCHANGER USING NON-DOMINATED SORTING GENETIC ALGORITHM II
ABSTRACT
This thesis presents the development of a Three Degree of Freedom (3DoF) based outlet fluid temperature controller for Shell and Tube Heat Exchanger (STHX). Shell and Tube Heat Exchangers are classes of heat exchangers being used in industries for heat transfer between fluids....
3. A DESIGN SPACE EXPLORATION METHODOLOGY TO SUPPORT DECISIONS UNDER EVOLVING UNCERTAINTY IN REQUIREMENTS AND ITS APPLICATION TO ADVANCED VEHICLES
SUMMARY Recent technological developments have resulted in the emergence of new advanced vehicles such as suborbital vehicles and personal air vehicles. These innovative vehicles have in turn opened up new markets that are characterized by a large and complex solution space that requires designer...
4. Improving Deep Representations by Incorporating Domain Knowledge and Modularization for Synthetic Aperture Radar and Physiological Data
Abstract
Machine Learning (ML) using Artificial Neural Networks (ANNs), referred to as Deep Learning (DL), is a very popular and powerful method of statistical inference. A primary advantage of deep-learning has been the automatic learning of informative features (that encodes the data...
5. SEMANTICS-DRIVEN ABSTRACTIVE DOCUMENT SUMMARIZATION
ABSTRACT
The evolution of the Web over the last three decades has led to a deluge of scientific and news articles on the Internet. Harnessing these publications in different fields of study is critical to effective end user information consumption. Similarly, in the domain of heal...
6. COMPUTATIONAL INFERENCE TECHNIQUE FOR MINING STRUCTURED MOTIFS
ABSTRACT
One of the major challenges in bioinformatics is the development of efficient computational tools for mining patterns. Structured motifs, like DNA binding sites in organisms with peculiarities in their genomic sequence like malaria parasite, Plasmodium falciparum have not been...
