Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Jemal H. Abawajy Conference proceed

細(xì)胞膜

An Enhanced Model for Digital Reference Servicesthe reference service movement towards digital environment begins late, and this shift was not model based. So, a journey towards a digital environment without following a proper model raises some issues. A few researchers presented a general process model (GPM) in the late 1990s, but this process m

Generosity

Fuzzy Random Based Mean Variance Model for Agricultural Production Planningribed as they may increase error in the prediction model. The collected data which contains uncertainty should be adequately treated before analysis. In the portfolio selection problem, uncertainty involves are characterized as fuzzy and random. Hence fuzzy random variables are accounted as input va

manifestation

Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digirvation slips, bank withdrawal slips, etc. Using a bilingual system is better than using two systems for every language that is not a practical solution. In this paper, a bilingual digit recognition system is developed using Residual Neural Network (ResNet) and Local Binary Convolutional Neural Netw

樹上結(jié)蜜糖

疲勞

發(fā)誓放棄

DALLY

A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Casearm human life or damage the environment. There are several ways to reduce or possibly eliminate failure, according to researchers improving the development processes of SCSs reduces failure by 40%. Therefore, developers have invented many development methods and measurement techniques to reduce fai

Commodious

Link Bandwidth Recommendation for Indonesian E-Health Grid effectiveness. The application of information technology in the health sector is required to enhance the performance of health services to the community. In this research, we investigate the e-Health Grid based on the provincial hospital in Indonesia using a Mininet emulator. Actual distances betwe

artifice

Investigating the Optimal Parameterization of Deep Neural Network and Synthetic Data Workflow for Im is the class-imbalanced distribution dataset. This research designed two workflows for generating synthetic dataset using SMOTE algorithm, SDS-1, and SDS-2 dataset. We further investigated the optimal DNN parameters that generate the best optimum performance over those datasets. We used Indian Live

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