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An indirect adaptive neural control of a visual-based quadrotor robot for pursuing a moving target.
ISA transactions
Oct 30, 2015
This paper aims to use a visual-based control mechanism to control a quadrotor type aerial robot which is in pursuit of a moving target. The nonlinear nature of a quadrotor, on the one hand, and the difficulty of obtaining an exact model for it, on t...
NEURAL NETWORK MODELLING OF CARDIAC DOSE CONVERSION COEFFICIENT FOR ARBITRARY X-RAY SPECTRA.
Radiation protection dosimetry
Oct 28, 2015
In this article, an approach to compute the dose conversion coefficients (DCCs) is described for the computational voxel phantom 'High-Definition Reference Korean-Man' (HDRK-Man) using artificial neural networks (ANN). For this purpose, the voxel pha...
Building cell models and simulations from microscope images.
Methods (San Diego, Calif.)
Oct 17, 2015
The use of fluorescence microscopy has undergone a major revolution over the past twenty years, both with the development of dramatic new technologies and with the widespread adoption of image analysis and machine learning methods. Many open source s...
A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.
Bioinformatics (Oxford, England)
Oct 17, 2015
SUMMARY: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly com...
High Throughput Multispectral Image Processing with Applications in Food Science.
PloS one
Oct 14, 2015
Recently, machine vision is gaining attention in food science as well as in food industry concerning food quality assessment and monitoring. Into the framework of implementation of Process Analytical Technology (PAT) in the food industry, image proce...
A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron.
Scientific reports
Oct 8, 2015
In this paper we present a unified framework for extreme learning machines and reservoir computing (echo state networks), which can be physically implemented using a single nonlinear neuron subject to delayed feedback. The reservoir is built within t...
METSP: a maximum-entropy classifier based text mining tool for transporter-substrate identification with semistructured text.
BioMed research international
Oct 1, 2015
The substrates of a transporter are not only useful for inferring function of the transporter, but also important to discover compound-compound interaction and to reconstruct metabolic pathway. Though plenty of data has been accumulated with the deve...
Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.
Applied clinical informatics
Sep 30, 2015
BACKGROUND: Accumulating quantitative outcome parameters may contribute to constructing a healthcare organization in which outcomes of clinical procedures are reproducible and predictable. In imaging studies, measurements are the principal category o...
MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs.
Bioinformatics (Oxford, England)
Sep 26, 2015
UNLABELLED: S-sulfenylation (S-sulphenylation, or sulfenic acid), the covalent attachment of S-hydroxyl (-SOH) to cysteine thiol, plays a significant role in redox regulation of protein functions. Although sulfenic acid is transient and labile, most ...
iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition.
Computers in biology and medicine
Sep 25, 2015
Translation is an essential genetic process for understanding the mechanism of gene expression. Due to the large number of protein sequences generated in the post-genomic era, conventional methods are unable to identify Translation Initiation Site (T...
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