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

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A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Caseoving Software Development (PM-ISD). The proposed measurement enhances reliability assessment and decision-making during agile development processes. PM-ISD assists the Agile management team throughout the Medical Surgery Department (MSD) project phases to track the completion of tasks.

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Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradustering process by 0.54?s on average and outperformed PKCA. Data analysts in marketing and finance, telecommunication and transport companies and researchers in academia can use this algorithm to make sense out of their huge volume of data.

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Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digir LBCNN is 99.38%. In addition, the proposed systems are applied to MNIST and AHDBase datasets separately. The obtained accuracies for MNIST are 99.27% and 99.51% and for AHDBase are 99.29% and 99.38%, respectively. The resulting performance of ResNet and LBCNN are the highest when they are compared against several state-of-the-art techniques.

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Link Bandwidth Recommendation for Indonesian E-Health Grid. The e-Health Grid consolidates 34 hospitals, four controllers, and four switches. The result of the simulation yields a recommendation of link bandwidth that provides minimum round trip time from each node in the grid.

借喻

Experimental Analysis of Tuberculosis Classification Based on Clinical Data Using Machine Learning Tcation methods based on clinical data. The results show that most of machine learning techniques that use in this study have a good performance in classifying tuberculosis based clinical data. Those machine learning techniques have achieved 0.97–0.99 in testing F1-Score.