Search Results - "Vian, J.L."

Query-based learning for aerospace applications by Saad, E.W., Choi, J.J., Vian, J.L., Wunsch, D.C.

“…Models of real-world applications often include a large number of parameters with a wide dynamic range, which contributes to the difficulties of neural network…”
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Isolates of Bacillus thuringiensis from Maranhão biomes with potential insecticidal action against Aedes aegypti larvae (Diptera, Culicidae) by Viana, J L, Soares-da-Silva, J, Vieira-Neta, M R A, Tadei, W P, Oliveira, C D, Abdalla, F C, Peixoto, C A, Pinheiro, V C S

“…Entomopathogenic agents are viable and effective options due to their selective action against insects but benign effects on humans and the environment. The…”
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Multi Source Data Integration for Aircraft Health Management by Ortiz, E.M., Clark, G.J., Babbar, A., Vian, J.L., Syrmos, V.L., Arita, M.M.

“…Modern aircraft are capable of generating and collecting massive quantities of data from flight recorders, maintenance reports, logistics, and…”
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Multi-platform Airplane Health Management by Clark, G.J., Vian, J.L., West, M.E., Syrmos, V.L., Randolph, W.F., Hardman, W.J.

“…The Integrated Airplane Health Management (IAHM) program is a Navy research activity led by The Boeing Company with support from the University of Hawaii,…”
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Aerospace and electronic systems prognostic health management by Vian, J.L.

“…The first 100 years of powered flight witnessed amazing strides in developing safe and economically viable aircraft by focusing on component reliability and…”
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H/sub infinity / control for singularly perturbed systems by Vian, J.L., Sawan, M.E.

“…State-space solutions for H/sub infinity / control are developed for near-optimal composite state-feedback control of singular perturbed systems. Scaled…”
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H/sub infinity / control for singularly perturbed systems with slow inputs by Vian, J.L., Sawan, M.E.

“…H/sub infinity / near-optimal state-feedback problem/solution is formulated for a singularly perturbed system with only slow input components. The assumption…”
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Efficient training techniques for classification with vast input space by Saad, E.W., Choi, J.J., Vian, J.L., Wunsch, D.C.

“…Strategies to efficiently train a neural network for an aerospace problem with a large multidimensional input space are developed and demonstrated. The neural…”
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Set constraint discovery: missing sensor data restoration using autoassociative regression machines by Narayanan, S., Marks, R.J., Vian, J.L., Choi, J.J., El-Sharkawi, M.A., Thompson, B.B.

“…A sensor array can generate interdependent readings among the sensors. If the dependence is sufficiently strong, the readings may contain redundancy to the…”
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Missing sensor data restoration for vibration sensors on a jet aircraft engine by Narayanan, S., Vian, J.L., Choi, J.J., Marks, R.J., El-Sharkawi, M.A., Thompson, B.B.

“…Using array historical data, the readings from a sensor array may be shown to contain sufficient redundancy such that the readings from one or more lost…”
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Intelligent flight management in threat environments by Vian, J.L., Fu, S.J., Grose, D.L., Sawan, M.E.

“…An integrated threat localization and avoidance methodology is proposed for intelligent control of unmanned air vehicles and pilot advisory systems in manned…”
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Determination of ground emitter location by Fu, S.J., Vian, J.L., Grose, D.L.

“…Passive techniques to locate ground emitters from an airborne platform provide threat warning to aircraft in hostile airspace while maintaining the electronic…”
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