Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks by Olusegun Peter Awe, Daniel Adebowale Babatunde, Sangarapillai Lambotharan, Basil AsSadhan

“…Under mobility, the centroid corresponding to the active PU status is adapted according to the estimates of the channels given by the Kalman filter and an adaptive K-means clustering technique is used to make classification decisions on the PU activity. …”
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Estimating the permanent and transitory components of the U.K business cycle by Terence Mills, Ping Wang

“…We estimate a model that incorporates two key features of business cycles, comovement among economic variables and switching between regimes of boom and slump, to quarterly U.K. data for the last four decades. Common permanent and transitory factors, interpreted as composite indicators of coincident variables, and estimates of turning points from one regime to the other, are extracted from the data by using the Kalman filter and maximum likelihood estimation. …”
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Economic scheduling in electric power systems: a mathematical model for the U.A.E by Darwish M.K.F. Al-Gobaisi

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Simulation model of a water treatment plant by K.S. Kilani, M. Padayaachee, F. Swalaha, H. Kasen

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Effective algorithms for real-time wind turbine condition monitoring and fault-detection by Raed Ibrahim

“…The WT generator voltage and current output, if sampled at a sufficiently high rate (kHz range), can provide a rich source of data for CM. …”
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The athletic gut microbiota by AE Mohr, R Jäger, KC Carpenter, CM Kerksick, M Purpura, JR Townsend, NP West, K Black, Michael Gleeson, DB Pyne, SD Wells, SM Arent, RB Kreider, BI Campbell, L Bannock, J Scheiman, CJ Wissent, M Pane, DS Kalman, JN Pugh, CP Ortega-Santos, JA Ter Haar, PJ Arciero, J Antonio

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International Society of Sports Nutrition Position Stand: Probiotics by R Jäger, AE Mohr, KC Carpenter, CM Kerksick, M Purpura, A Moussa, JR Townsend, M Lamprecht, NP West, K Black, Michael Gleeson, DB Pyne, SD Wells, SM Arent, AE Smith-Ryan, RB Kreider, BI Campbell, L Bannock, J Scheiman, CJ Wissent, M Pane, DS Kalman, JN Pugh, JA Ter Haar, J Antonio

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Multivariate Markov switiching common factor models for the UK by Terence Mills, Ping Wang

“…We estimate a model that incorporates two key features of business cycles, comovement among economic variables and switching between regimes of boom and slump, to quarterly U.K. data for the last four decades. A common factor, interpreted as a composite indicator of coincident variables, and estimates of turning points from one regime to the other, are extracted from the data by using the Kalman filter and maximum likelihood estimation. …”
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Data-driven situation awareness algorithm for vehicle lane change by Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen

“…Secondly, supervised learning classification technique (i.e., Fuzzy k-NN) is applied to obtain the model/cluster of a given driving scenario. …”
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