Search
Now showing items 1-10 of 37
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
(IEEE, 2018-08)
Radar-based activity recognition is a problem that has been of great interest due to applications such as border control and security, pedestrian identification for automotive safety, and remote health monitoring. This ...
Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery
(Institute of Electrical and Electronics Engineers Inc., 2018-11-20)
Power system resiliency and robustness became major concerns of the system operators and researchers after the introduction of the smart grid concept. The improvements in the battery storage systems (BSS) and the photovoltaic ...
Feature diverse hierarchical classification of human gait with CW radar for assisted living
(Institution of Engineering and Technology, 2017-10-26)
Activity recognition and estimation of gait parameter are medically essential components of remote health monitoring systems that can improve quality of life, enable personalized treatments, acquire continual medical data ...
Why the Names? Anubanini and His Clan in the Cuthaean Legend
(2014)
This article is a study of the ancient Mesopotamian literary text known as the 'Cuthaean Legend'. This Naram-Sin legend is known from several versions in the extant cuneiform corpus of texts (Westenholz 1997). The names ...
k-means Performance Improvements with Centroid Calculation Heuristics both for Serial and Parallel environments
(IEEE, 2015)
k-means is the most widely used clustering algorithm due to its fairly straightforward implementations in various problems. Meanwhile, when the number of clusters increase, the number of iterations also tend to slightly ...
Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7)
(Vandenhoeck & Ruprecht, 2017-12)
This article introduces an automated image matching technique called Scale Invariant Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform signs. The Nabonidus Chronicle (II, 16), which ...
Clustering Quality Improvement of k-means using a Hybrid Evolutionary Model
(ELSEVIER Science BV, 2015)
Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...
Developing a Two Level Options Trading Strategy Based on Option Pair Optimization of Spread Strategies with Evolutionary Algorithms
(IEEE, 2015)
In this study, a two level options trading strategy is modelled and optimized with Genetic Algorithms and Particle Swarm Optimization for profit maximization. In the first level, the trend is found and in the second level, ...
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
(ELSEVIER Science BV, 2017)
In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...
Generic Menu Optimization for Multi-profile Customer Systems
(IEEE, 2015)
The use of optimal ATM menu structuring for different customer profiles is essential because of usability, efficiency, and customer satisfaction. Especially in competitive industries such as banking, having optimal user ...
