Search Results - "Bigus, P"

Validation of atmospheric aerosols parallel sampling in a multifold device by Oliveira, C. M, Camões, M. F, Bigus, P, Fachado, A. A, Silva, R. B

“…In this work, particulate matter was collected using an active sampling system consisting of a PM₁₀(<10 μm) inlet coupled to a multifold device containing six…”
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A framework for evidence-based health care incentives simulation by Bigus, J. P., Chen-Ritzo, Ching-Hua, Sorrentino, R.

“…We present a general simulation framework designed for modeling incentives in a health care delivery system. This first version of the framework focuses on…”
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Applying a framework for healthcare incentives simulation by Bigus, J. P., Chen-Ritzo, Ching-Hua, Hermiz, K., Tesauro, G., Sorrentino, R.

“…At WinterSim 2011, we originally proposed an agent-based framework for healthcare simulations, enabling flexible integration of multiple simulation models,…”
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SWORD: scalable and flexible workload generator for distributed data processing systems by Anderson, Kay S., Bigus, Joseph P., Bouillet, Eric, Dube, Parijat, Halim, Nagui, Liu, Zhen, Pendarakis, Dimitrios

“…Workload generation is commonly employed for performance characterization, testing and benchmarking of computer systems and networks. Workload generation…”
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Bringing planning to autonomic applications with ABLE by Srivastava, B., Bigus, J.P., Schlosnagle, D.A.

“…Planning has received tremendous interest as a research area within AI over the last three decades but it has not been applied commercially as widely as its…”
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Sword: Scalable and Flexible Workload Generator for Distributed Data Processing Systems by Anderson, K.S., Bigus, J.P., Bouillet, E., Dube, P., Halim, N., Zhen Liu, Pendarakis, D.

“…Workload generation is commonly employed for performance characterization, testing and benchmarking of computer systems and networks. Workload generation…”
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Data mining and neural networks: solving business problems from application development to decision support by Bigus, J P

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Applying neural networks to computer system performance tuning by Bigus, J.P.

“…This paper presents results of empirical studies applying neural networks and techniques from control systems theory to computer system performance tuning…”
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