Titlebook: Soft Computing in Data Science; Third International Azlinah Mohamed,Michael W. Berry,Bee Wah Yap Conference proceedings 2017 Springer Natu

幻影

Road Lane Segmentation Using Deconvolutional Neural Networker to build the feature map resulting in spatially smaller feature map. Deconvolution and unpooling layer then applied to the feature map to reconstruct it back to its input size. The method used in this research resulting a 98.38% pixel level accuracy and able to predict a single input frame in 28?

Minatory

Rare Event Prediction Using Similarity Majority Under-Sampling Technique of the underlying non-linear mapping between the input variables and the target classes. Two experiments are conducted and reported in this paper: one is an extensive performance comparison of SMUTE with the states-of-the-arts using generated imbalanced data; the other is the use of real data repre

光亮

construct

Classification of Batik Kain Besurek Image Using Speed Up Robust Features (SURF) and Gray Level Co-oo grayscale and followed by resizing. The feature extraction uses GLCM method yielding six features and SURF method yielding 64 descriptors. The extraction results are combined by assigning weight on both methods in which the weighting scheme is tested. Moreover, the image classification uses a meth

Genetics

dysphagia

Eye Detection for Drowsy Driver Using Artificial Neural Networkakes the driver uncomfortable or less sensitive (vehicle based approach). The data collected from 26 volunteers will have four (4) different type of image. Thus, the total input will be 10,800 nodes. This thesis will be classified into two (2) outputs which are drowsy eye and non-drowsy eye. The alg

發(fā)生

enmesh

FLORA

Enhancing Parallel Self-organizing Map on Heterogeneous System Architecturearadigm for recent platform because of their remarkable parallel processing abilities. Therefore, the main goal of this study is to reduce computation time of SOM training through adapting HSA platform and combining two SOM training processes. This study attempts to enhance the processing of SOM alg

人類的發(fā)源

Geovisualization Using Hexagonal Tessellation for Spatiotemporal Earthquake Data Analysis in Indonesial phenomena pattern of the earthquake epicenter into more easily understood information. The density analysis includes distance matrix analysis to examine the visualization result and proximity analysis to know the proximity of earthquake density represented by centroid hexagon point with the tect