Results 11 to 20 of about 3,873,412 (326)

An observability and detectability analysis for non-linear uncertain CSTR model of biochemical processes

Scientific Reports, 2022
The problem of proving observability/detectability properties for selected non-linear uncertain model of biochemical processes has been addressed in this paper.
Mateusz Czyżniewski, Rafał Łangowski
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Decision Support Systems [PDF]

Communications of the ACM, 2007
The issues related to successful development and integration of decision support systems (DSS) into emergency management processes are discussed. They provide summaries of data, forecast future developments in the context of present circumstances, take account of uncertainties, help the decision makers explore their own perceptions and values.
French, Simon, Turoff, Murray
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Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Teselkin Daniil, Surkova Ekaterina, Komissarov Artem, Shilcin Maxim   +4 more
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Integration of decision support systems to improve decision support performance [PDF]

, 2010
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges.
A Kaklauskas, A Kusiak, AC Marquez, AHB Duffy, Alex H. B. Duffy, B Chae, B Lopez, C Carlsson, C Silva, CD Evans, D Lam, D Mladenic, D Riecken, D Thapa, D Zhang, DA Guerra-Zubiaga, DR Dolk, DR Dolk, DS Linthicum, E Claver, E Thomsen, EJM Lauria, F Kebair, FD Turck, G DeSanctis, G Niu, GD Bhatt, GM Carter, H Lan, HA Simon, HA Simon, HA Simon, HY Lin, I Bose, I Boyle, I Thomas, I Truck, Iain M. Boyle, IH Witten, IK Bindoff, J Kolodner, J Zeleznikow, JE Nelson, JF Courtney, JH Lee, JH Lee, JJ Elam, JO Grady, JP Costa, JP Shim, K Eisenhardt, K Kristensen, K Pal, KQ Byung, KW Lee, L Ding, L Ekenberg, L Ekenberg, L Lin, LA Kurgan, M Alvarado, M Beynon, M Bradford, M Cohen, M Frize, M Harrison, M Limayem, M Wang, MJ Huang, MJ Shaw, ML Markus, MN Huhns, N Bolloju, NR Jennings, O Kwon, P Keen, P Keen, PA Rodgers, PC Nutt, QF Ni, R Anderson, R Anson, R Bellazzi, R Chalmeta, R Denzer, R Kimball, R Orwig, R Vahidov, RE Giachetti, RH Rao, Robert Ian Whitfield, RP Baker, RW Blanning, S Daskalaki, S Liu, S Liu, S Liu, S Szykman, SA Raghavan, SB Eom, SD Pinson, Shaofeng Liu, T Bui, TH Davenport, TJ Hess, TP Gerrity, WA Muhanna, WD Li, WD Li, Y Reich, Y Zhu, YC Tsai, Z Shi   +112 more
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Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series

Mathematics, 2023
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task.
Alexandros Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Evangelos Karakolis, Spiros Mouzakitis, John Psarras, Dimitris Askounis   +6 more
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When decision support systems fail: insights for strategic information systems from Formula [PDF]

, 2018
Decision support systems (DSS) are sophisticated tools that increasingly take advantage of big data and are used to design and implement individual - and organization - level strategic decisions .
Arnott, Aversa, Aversa, Baesens, Barney, Bernhard, Boland, Brynjolfsson, Cabantous, Cabantous, Callon, Callon, Callon, Castellucci, Cecez-Kecmanovic, Cecez-Kecmanovic, Chen, Chen, Constantiou, Corley, Davenport, Dean, DeSanctis, DeSanctis, Earl, Elbanna, Erden, Feldman, Forbes, Fredrickson, Galliers, Garud, George, Gherardi, Gibson, Gino, Gioia, Gioia, Giraudeau, Gregor, Günther, Hedberg, Hevner, Hevner, Hutchby, Hutchins, Hutchins, Jacobs, Jarzabkowski, Jenkins, Junglas, Kahneman, Laure Cabantous, LaValle, Lazer, Leonardi, Loebbecke, MacKenzie, MacKenzie, MacKenzie, Manktelow, March, March, Marino, Markus, Mayer-Schönberger, Mazmanian, McAfee, McDermott, Morgan, Nicolini, Nicolini, Orlikowski, Orlikowski, Orlikowski, Paolo Aversa, Peppard, Scarbrough, Schein, Siggelkow, Stefan Haefliger, Strauss, Suppiah, Vaara, Vallee-Tourangeau, Van Maanen, Villejoubert, von Krogh, Wagner, Weick, Whittington, Zammuto, Zigurs   +92 more
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In-Cognitive: A web-based Python application for fuzzy cognitive map design, simulation, and uncertainty analysis based on the Monte Carlo method

SoftwareX, 2023
Fuzzy Cognitive Mapping is a semi-quantitative modelling method, widely used for decision support in various domains. However, existing software applications have been criticised over inadequate handling of uncertain information, lack of accessibility ...
Themistoklis Koutsellis, Georgios Xexakis, Konstantinos Koasidis, Natasha Frilingou, Anastasios Karamaneas, Alexandros Nikas, Haris Doukas   +6 more
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Clinical decision support systems

Swiss Medical Weekly, 2014
Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS. The medical informatics literature suggests categorising CDS tools into medication dosing support, order facilitators, point-of-care ...
Beeler Patrick Emanuel, Bates David Westfall, Hug Balthasar Luzius   +2 more
openaire   +3 more sources

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models

Applied Sciences, 2023
Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is ...
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis, Haris Doukas   +4 more
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Bayesian decision support for complex systems with many distributed experts [PDF]

, 2015
Complex decision support systems often consist of component modules which, encoding the judgements of panels of domain experts, describe a particular sub-domain of the overall system.
Leonelli, Manuele, Smith, James Q.
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