![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Book and Conference Proceedings
-
Book and Conference Proceedings
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Parameter Estimation of Essential Amino Acids in Arabidopsis thaliana Using Hybrid of Bees Algorithm and Harmony Search
Mathematical models of metabolic processes are the cornerstone of computational systems biology. In model building, the task of parameter estimation is difficult due to the huge numbers of kinetics parameters ...
-
Chapter and Conference Paper
Classification of Human Body Smell by Learning Vector Quantization
In this paper we consider classification of human body smell using learning vector quantization (LVQ). Smells of human body are classified as sweaty lockerroom smell, middle-aged smell, and age-of-smell. The f...
-
Chapter and Conference Paper
A Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis for Enhancing Lactate and Succinate in Escherichia Coli
In the past decades, metabolic engineering has received great attention from different sectors of science due to its important role in enhancing the over expression of the target phenotype by manipulating the ...
-
Article
An evaluation of an olfactory sensor and recognition system using metal-oxide semiconductor gas sensor with variable heater controller
An artificial olfactory, which is called an electronic nose system (e-nose), is studied for realizing new human–machine interface. The system consists of sensor unit and a signal processing unit. There are som...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Odor Classification for Human Breath Using Neural Networks
The principle of metal-oxide gas sensors is based on oxidation and reduction rule. The aim of this paper is to classify odors of breath in which several gasses are mixed. Using neural networks to train a speci...
-
Chapter and Conference Paper
Classification of Colorectal Cancer Using Clustering and Feature Selection Approaches
Accurate cancer classification and responses to treatment are important in clinical cancer research since cancer acts as a family of gene-based diseases. Microarray technology has widely developed to measure ...
-
Chapter and Conference Paper
K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data
In the bioinformatics and clinical research areas, microarray technology has been widely used to distinguish a cancer dataset between normal and tumour samples. However, the high dimensionality of gene express...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
A Hybrid of Harmony Search and Minimization of Metabolic Adjustment for Optimization of Succinic Acid Production
Succinic acid has been favored by researchers due to its industrial multi-uses. However, the production of succinic acid is far below cell theoretical maximum. The goal of this research is to identify the opti...
-
Chapter and Conference Paper
Erratum to: Distributed Computing and Artificial Intelligence,13th International Conference
Erratum to: S. Omatu et al. (eds.), Distributed Computing and Artificial Intelligence, 13th International Conference, Advances in Intelligent Systems and Computing DOI: 10.1007/978-3-319-4...
-
Chapter and Conference Paper
Exploring the High Performance Computing-Enablement of a Suite of Gene-Knockout Based Genetic Engineering Applications
Genetic engineering provides methods to modify the genes of microorganisms to achieve desired effects. This can be done for improved organism growth rate or increasing production yield of a desired gene produc...
-
Chapter and Conference Paper
Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks
DNA microarray technology plays an important role in advancing the analysis of gene expression and gene functions. However, gene expression data often contain missing values, which cause problems as most of th...
-
Chapter and Conference Paper
Smells Classification for Human Breath Using a Layered Neural Network
Progress of sensor technology enables us to measure smells although it is based on chemical reactions. We have developed the smell classification for various subjects using layered neural networks by training ...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Detection of Rice Field Using the Self-organizing Feature Map
We consider a detection method of rice field under rainy conditions by using remote sensing data. The classification method is to use a competitive neural network of self-organizing feature map (SOM) by using ...
-
Chapter and Conference Paper
Intelligent Classifier for E-Nose Systems
This paper briefly discusses the state-of-the-art of e-noses and classifiers used in analyzing the response data from E-Nose systems and presents an idea about how to face off this kind of problems using ensem...