Titlebook: Soft Computing in Data Science; 4th International Co Bee Wah Yap,Azlinah Hj Mohamed,Michael W. Berry Conference proceedings 2019 Springer N

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Scalable Single-Source Shortest Path Algorithms on Distributed Memory Systemsgraph analytical analysis in many research areas such as networks, communication, transportation, electronics and so on. In this paper, we propose scalable SSSP algorithms for distributed memory systems. Our algorithms are based on a .-stepping algorithm with the use of a two dimensional (2D) graph

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Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Applicat is proportional hazard assumption among the category at each predictor. Unfortunately, the real case cannot always satisfy this assumption. One alternative model that can be employed is non-parametric approach using Survival Least Square-Support Vector Machine (SURLS-SVM). Meanwhile, the SURLS-SVM

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VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal or that reason, nonparametric approach is rapidly developed to overcome that problem. But, feature selection to choose relevant input becomes new issue in nonparametric approach. Moreover, if the multiple time series data are observed from different sites, then the location possibly play the role an

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Acoustic Surveillance Intrusion Detection with Linear Predictive Coding and Random Foresto lack of surveillance to cover a huge amount of land. The current usage of stealth ability of the camera is low due to limitations of camera angle of view. Maintenance such as changing batteries and memory cards were troublesome reported by Wildlife Conservation Society, Malaysia. Remote location w

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Timing-of-Delivery Prediction Model to Visualize Delivery Trends for Pos Laju Malaysia by Machine Leoods is one of the key area. This paper explores the adoption of machine learning in predicting late delivery of goods on Malaysia national courier service named Poslaju. The prediction model also enables the visualization of the delivery trends for Poslaju Malaysia. Meanwhile, data extraction, tran

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Performance of SVM and ANFIS for Classification of Malaria Parasite and Its Life-Cycle-Stages in Blores for classification. The geometry features are area and perimeters. The texture features are computed from GLCM matrices. The support vector machine (SVM) classifier is employed for classifying the Plasmodium and its life stage into 12 classes. Experiments were conducted using 600 images of blood

OASIS

Digital Image Quality Evaluation for Spatial Domain Text Steganographyteganography is about concealing the hidden data into digital images that alter the pixel of the image. This paper will examine how steganography affect the quality of digital images. Two types of images were selected and different capacities of text documents from 4 kB to 45 kB were used as secret

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