Many mathematical and computational models used in engineering produce multivariate output that shows some degree of correlation. However, conventional approaches to Global Sensitivity Analysis (GSA) assume that the output variable is scalar. These approaches are applied on each output variable leading to a large number of sensitivity indices that shows a high degree of redundancy making the in...

This paper proposes a novel and efficient hybrid algorithm based on combining particle swarm optimization (PSO) and gravitational search algorithm (GSA) techniques, called PSO-GSA. The core of this algorithm is to combine the ability of social thinking in PSO with the local search capability of GSA. Many practical constraints of generators, such as power loss, ramp rate limits, prohibited opera...

This paper will explore the use of autoencoders for semantic hashing in the context of Information Retrieval. This paper will summarize how to efficiently train an autoencoder in order to create meaningful and low-dimensional encodings of data. This paper will demonstrate how computing and storing the closest encodings to an input query can help speed up search time and improve the quality of o...

The public p53 data set contains expression profile with 33 samples carrying mutated p53 and 17 samples classified as normal [4]. The aim is to find which processes are affected due to dysfunction of p53. We applied CePa and standard GSA method on NCI-Nature catalogue from PID database. For CePa, we used the absolute t-value as node-level statistic and mean as the pathway level transformation. ...

Tc-99m DTPA galactosyl human serum albumin (Tc-99m GSA) hepatic scintigraphy was performed in two patients with patent ductus venosus before and after operation. To evaluate the portosystemic shunt flow, per-rectal portal scintigraphy with I-123 N-isopropyl-p-iodoamphetamine (IMP) was undergone in the same period. The portosystemic shunt indices (PSS index) were decreased from 67.9% to 7.3% in ...

In this article, a newly hybrid nature-inspired approach (MGBPSO-GSA) is developed with a combination of Mean Gbest Particle Swarm Optimization (MGBPSO) and Gravitational Search Algorithm (GSA). The basic inspiration is to integrate the ability of exploitation in MGBPSO with the ability of exploration in GSA to synthesize the strength of both approaches. As a result, the presented approach has ...

s for these talks are published in the GSA Abstracts With

In this work, a chaotic search-based hybrid Sperm Swarm Optimized-Gravitational Search Algorithm (CSSO-GSA) is proposed for automatic load frequency control (ALFC) of power system (HPS). The HPS model developed using multiple sources (thermal, bio-fuel, and renewable energy (RE)) that generate to balance the system’s demand. To regulate system, parameters proportional-integral-derivative (PID) ...

doi: 10.1130/0091-7613(2003)031<0055:PAGPSE>2.0.CO;2 2003;31;55-58 Geology Timothy H. Dixon, E. Norabuena and L. Hotaling geodetic versus geologic fault slip rates in the Eastern California shear zone Paleoseismology and Global Positioning System: Earthquake-cycle effects and Email alerting services cite this article to receive free e-mail alerts when new articles www.gsapubs.org/cgi/alerts cli...

doi: 10.1130/G32373.1 2012;40;31-34 Geology Nicholas Stantzos and Bradley J. Thomson Matthew P. Golombek, Candice J. Hansen, Sarah Mattson, Alfred S. McEwen, Michael T. Mellon, Nathan T. Bridges, Mary C. Bourke, Paul E. Geissler, Maria E. Banks, Cindy Colon, Serina Diniega, Planet-wide sand motion on Mars Email alerting services articles cite this article to receive free e-mail alerts when new ...