Books on the topic 'Predicting Innovation'

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1

Christopher, Layne, Arquilla John, Rand Corporation, and Arroyo Center, eds. Predicting military innovation. Santa Monica, CA: RAND, 1999.

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2

Barbara, Collier, and U.S. Army Research Laboratory, eds. ARL, predictive technology. Adelphi, Md: Army Research Laboratory, 1993.

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3

Kiruluta, Andrew M. Predictive head movement tracking using innovations generated by Kalman filters. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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4

Brueck, Terrance M. Forecasting the future: Progress, change, and predictions for the water sector. Denver, Colo: Water Research Foundation, 2012.

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5

Lee, Jinsuk. Lifetime prediction for degradation of solar mirrors using step-stress accelerated testing. Golden, Colo.]: National Renewable Energy Laboratory, 2011.

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6

Littleton, Eliza Beth. Predicting rapid decision-making processes required by the dismounted objective force warrior. Alexandria, VA: United States Army Research Institute for the Behavioral and Social Sciences, 2003.

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7

Yŏng-sŏn, Kwŏn. Homo k'ŏnbŏjŏnsŭ: Che 4-ch'a sanŏp hyŏngmyŏng kwa mirae sahoe = Homo convergence. Kyŏnggi-do P'aju-si: Asia, 2016.

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8

(Firm), Knovel, ed. Case studies in novel food processing technologies: Innovations in processing, packaging and predictive modelling. Oxford: Woodhead Publishing, 2010.

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9

Transizione, dall'era industriale a quella post-industriale: Verso la Terza Guerra Mondiale o alla conquista del futuro? Milano: Nuovi autori, 1986.

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10

Maxence, Layet, Bultez Adams Philippe, and Kaplan Frédéric, eds. Futur 2.0: Comprendre les 20 prochaines années. Limoges: Fyp éditions, 2007.

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11

25 things you need to know about the future. London: Constable, 2012.

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12

Carandini, Guido. Il nuovo e il futuro. Roma: Laterza, 1990.

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13

Future revolutions: Unravelling the uncertainties of life & work in the 21st century. London: Orion Business, 1998.

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14

(Japan), Gijutsu Kakushin no Dokō to Shinshijō no Tenbō Kenkyūkai. Shakai kōzō henka to gijutsu kakushin no tenbō: Gijutsu Kakushin no Dokō to Shinshijō no Tenbō Kenkyūkai hōkokusho. [Tokyo]: Tsūshō Sangyōshō, 1987.

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15

Future revolutions: A comprehensive guide to the third millennium. London: Orion Business Books, 1998.

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16

Olga, Golubnitschaja, ed. Predictive diagnostics and personalized treatment: Dream or reality. Hauppauge, NY: Nova Science Publishers, 2009.

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17

A conceptual approach to social impact assessment: Collection of writings by Rabel J. Burdge and colleagues. Middleton, Wis: Social Ecology Press, 1994.

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18

Mass, Clifford. A next-generation land surface model for the prediction of pavement temperature. [Olympia, Wash.]: Washington State Dept. of Transportation, 2003.

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19

A, Kahan Mark, and Society of Photo-optical Instrumentation Engineers., eds. Optical modeling and performance predictions: 6-7 August 2003, San Diego, California, USA. Bellingham, Wash., USA: SPIE, 2004.

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20

(Society), SPIE, ed. Optical modeling and performance predictions IV: 5-6 August 2009, San Diego, California, United States. Bellingham, Wash: SPIE, 2009.

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21

Calif.) Optical Modeling and Performance Predictions (Conference) (6th 2013 San Diego. Optical Modeling and Performance Predictions VI: 26-27 August 2013, San Diego, California, United States. Edited by Kahan Mark A. editor, Levine Marie B. editor, and SPIE (Society). Bellingham, Washington, USA: SPIE, 2013.

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22

Szenarien der Zukunft: Technikvisionen und Gesellschaftsentwürfe im Zeitalter globaler Risiken. Berlin: Frank & Timme, 2009.

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23

Society of Photo-optical Instrumentation Engineers, ed. Optical modeling and performance predictions III: 29-30 August 2007, San Diego, California, USA. Bellingham, Wash: SPIE, 2007.

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24

Chu-hŏn, Yi, ed. 2020 mirae Hanʼguk: Chʻangjojŏk sangsang ŭro kuryŏnaenŭn naeil ŭi mosŭp. Kyŏnggi-do Pʻaju-si: Hanʼgilsa, 2005.

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25

Ch'oe, Pae-gŭn. Homo emp'at'ik'usŭ ka onda: Ch'oyŏn'gyŏl sidae rŭl ikkŭl konggamhyŏng in'gan = Homo empathicus. Kyŏnggi-do P'ajusi: 21-segi Puksŭ, 2020.

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26

Mašková, Miroslava. Česká republika--trendy, ohrožení příležitosti. Praha: Karolinum, 2009.

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27

McMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.

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28

Zarim le-ʻatsmam: Ha-hisṭoryah ha-enoshit ke-mahapekhah todaʻatit = Strangers to themselves : the history of humanity as a revolution of the consciousness. Rishon le-Tsiyon: Yediʻot Sefarim, 2017.

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29

Uldrich, Jack. Jump the curve. Avon, Mass: Platinum Press, 2008.

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30

Uldrich, Jack. Jump the curve. Avon, Mass: Adams Media, 2007.

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31

Uldrich, Jack. Jump the curve. Avon, Mass: Platinum Press, 2008.

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32

United, States Congress Senate Committee on Commerce Science and Transportation Subcommittee on Disaster Prevention and Prediction. Research and development to protect America's communities from disaster: Hearing before the Subcommittee on Disaster Prevention and Prediction of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Ninth Congress, first session, June 8, 2005. Washington: U.S. G.P.O., 2006.

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33

Pradeep, A. K., Andrew Appel, and Stan Sthanunathan. AI for Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers, and Closing Sales. Wiley & Sons, Incorporated, John, 2018.

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34

Pradeep, A. K., Andrew Appel, and Stan Sthanunathan. AI for Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers, and Closing Sales. Wiley & Sons, Incorporated, John, 2018.

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35

Pradeep, A. K., Andrew Appel, and Stan Sthanunathan. AI for Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers, and Closing Sales. Wiley & Sons, Incorporated, John, 2018.

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36

Frontiers in Product Innovation Strategy: Predicting Market Outcomes and Creating Winning Products for a People and Planet-Friendly Future. Springer International Publishing AG, 2023.

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37

Thomas, E. Vass. Predicting Technology. WingSpan Press, 2006.

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38

Horn, Christian, Marcel Bogers, and Alexander Brem*. Prediction Markets for Crowdsourcing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198816225.003.0012.

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Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. The act of opening up to external knowledge sources is also in line with the growing interest in open innovation. One example of a prediction market, a virtual stock market, is applied to open innovation through an online platform. We show that use of mechanisms of internal crowdsourcing with prediction markets can outperform use of external crowds.
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39

Hingley, Peter, and Marc Nicolas. Forecasting Innovations: Methods for Predicting Numbers of Patent Filings. Springer, 2010.

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40

(Editor), Peter Hingley, and Marc Nicolas (Editor), eds. Forecasting Innovations: Methods for Predicting Numbers of Patent Filings. Springer, 2006.

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41

Hingley, Peter, and Marc Nicolas. Forecasting Innovations: Methods for Predicting Numbers of Patent Filings. Springer London, Limited, 2006.

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42

McMeekin, T. A., Predictive Microbiology: Theory and Application, J. Olley, T. Ross, and D. A. Ratkowsky. Predictive Microbiology: Theory and Application (Innovation in Microbiology, No 5). John Wiley & Sons, 1993.

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43

Innovative Antriebe 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023341.

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Zukünftiges Mobilitätsverhalten Mobilität 2050 – Selfdriving-eCo-Hyperflyyer, Drahtesel, oder was? . . . . . . . . . . . . . . . . . . .1 K. C. Keller, Aveniture GmbH, Freinsheim Ökobilanzierung Einfluss von Zellbauform und Zellchemie auf die Ökobilanz von batterieelektrischen Fahrzeugen . . . . . . . . . .5 T. Semper, M. Clauß, IAV GmbH, Stollberg; A. Forell, IAV GmbH, Bad Cannstatt Anwendungsfallabhängige CO2 -Bilanzen elektrifizierter Fahrzeugantriebe –Use case driven CO2 footprint of electrified powertrains . . . . . . . . . . . . . . .17 O. Ludwig, J. Muth, M. Gernuks, H. Schröder, T. Löscheter Horst, Volkswagen AG, Wolfsburg Prädiktion der Lebensdauer von Traktionsbatteriesystemen für reale Nutzungsszenarien . . . .33 M. Ufert, Professur für Fahrzeugmechatronik, Technische Universität Dresden; A. Batzdorf, L. Morawietz, IAM GmbH, Dresden Predictive Energy Management Strategies for Hybrid Electric Vehicles: eHorizon for Battery Management System. . . . . 49 M. ...
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44

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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45

HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Taylor & Francis Group, 2019.

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46

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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47

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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48

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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49

Gavardashvili, Givi. Predicting Erosive and Debris Flow Processes and the Innovative Measures to Control Them. Cambridge Scholars Publishing, 2022.

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50

Zillman, Donald, Martha Roggenkamp, LeRoy Paddock, and Lee Godden. Conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822080.003.0023.

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The final chapter links contemporary political and economic developments with an historical overview of innovation in energy technologies and energy transition. In order to achieve the goals of the Paris Agreement both technological innovation and legal innovation will be essential and wide-ranging. This chapter canvasses the role of governing legal frameworks in facilitating energy innovation. Against this background it provides a summary of the key conclusions from the various chapters and discusses energy law, energy globalization, and energy nationalism. The chapter provides predictions of future directions in energy law and transformation by reference to the three factors of energy markets and new actors, climate change and sustainability, and energy security.
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