Academic literature on the topic 'Analytic Network Proce'
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Journal articles on the topic "Analytic Network Proce"
Haryadi, Haryadi, Citra Amalia, Doddy Teguh Yuwono, Fitri Amalia Sholehah, and Santika Santika. "SISTEM PENDUKUNG KEPUTUSAN SELEKSI BANTUAN DANA HIBAH PENELITIAN DENGAN METODE ANALYTIC NETWORK PROCE (ANP)." Jurnal Informatika dan Rekayasa Elektronik 4, no. 1 (April 19, 2021): 1–11. http://dx.doi.org/10.36595/jire.v4i1.293.
Full textMelo Brentan, Bruno, Gustavo Meirelles Lima, Antonio Carlos Zuffo, and Edevar Luvizotto Junior. "Dimensionamento de redes de distribuição de água por meio de análise multicriterial." Revista DAE 221, no. 68 (2019): 118–30. http://dx.doi.org/10.36659/dae.2020.010.
Full textLiu, Chen. "Prediction and Analysis of Artwork Price Based on Deep Neural Network." Scientific Programming 2022 (March 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/7133910.
Full textCui, Xiaodong, Jun Hu, Yiming Ma, Peng Wu, Peican Zhu, and Hui-Jia Li. "Investigation of stock price network based on time series analysis and complex network." International Journal of Modern Physics B 35, no. 13 (May 20, 2021): 2150171. http://dx.doi.org/10.1142/s021797922150171x.
Full textJanda, Karel, Ladislav Krištoufek, Barbora Schererová, and David Zilberman. "Price transmission in biofuel-related global agricultural networks." Agricultural Economics (Zemědělská ekonomika) 67, No. 10 (October 26, 2021): 399–408. http://dx.doi.org/10.17221/223/2021-agricecon.
Full textLaptev, Pavel, Sergey Litovkin, Sergey Davydenko, Anton Konev, Evgeny Kostyuchenko, and Alexander Shelupanov. "Neural Network-Based Price Tag Data Analysis." Future Internet 14, no. 3 (March 13, 2022): 88. http://dx.doi.org/10.3390/fi14030088.
Full textSAWITRI, MADE NITA DWI, I. WAYAN SUMARJAYA, and NI KETUT TARI TASTRAWATI. "PERAMALAN MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK." E-Jurnal Matematika 7, no. 3 (September 2, 2018): 264. http://dx.doi.org/10.24843/mtk.2018.v07.i03.p213.
Full textBaboshkin, Pavel P., Alexey Yu Mikhaylov, and Zaffar Ahmed Shaikh. "Sustainable Cryptocurrency Growth Impossible? Impact of Network Power Demand on Bitcoin Price." Financial Journal 14, no. 3 (June 2022): 116–30. http://dx.doi.org/10.31107/2075-1990-2022-3-116-130.
Full textGrange, Louis de, Carlos Melo-Riquelme, Cristóbal Burgos, Felipe González, and Sebastián Raveau. "Numerical Bounds on the Price of Anarchy." Journal of Advanced Transportation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5062984.
Full textJawad, Shafqat, and Junyong Liu. "Electrical Vehicle Charging Services Planning and Operation with Interdependent Power Networks and Transportation Networks: A Review of the Current Scenario and Future Trends." Energies 13, no. 13 (July 1, 2020): 3371. http://dx.doi.org/10.3390/en13133371.
Full textDissertations / Theses on the topic "Analytic Network Proce"
Winicki, Elliott. "ELECTRICITY PRICE FORECASTING USING A CONVOLUTIONAL NEURAL NETWORK." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2126.
Full textAkra, Abraham. "Modelling the Four-Party Billing Payment Scheme: The Case of BPAY." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9515.
Full textWhitehurst, Jonathan. "A network probe for the mode analysis of planar antennas." Thesis, Royal Holloway, University of London, 1988. http://repository.royalholloway.ac.uk/items/d6571ade-592e-4539-86de-a912a5a79238/1/.
Full textBaccouche, Alexandre. "Functional analysis of artificial DNA reaction network." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCB135/document.
Full textInformation processing within and in between living organisms involves the production and exchange of molecules through signaling pathways organized in chemical reactions networks. They are various by their shape, size, and by the nature of the molecules embroiled. Among them, gene regulatory networks were our inspiration to develop and implement a new framework for in-vitro molecular programming. Indeed, the expression of a gene is mostly controlled by transcription factors or regulatory proteins and/or nucleic acids that are themselves triggered by other genes. The whole assembly draws a web of cross-interacting genes and their subproducts, in which the well controlled topology relates to a precise function. With a closer look at the links between nodes in such architectures, we identify three key points in the inner operating system. First, the interactions either activate or inhibit the production of the later node, meaning that non trivial behaviors are obtained by a combination of nodes rather than a specific new interaction. Second, the chemical stability of DNA, together with the precise reactivity of enzymes ensures the longevity of the network. Finally, the dynamics are sustained by the constant anabolism/catabolism of the effectors, and the subsequent use of fuel/energy. All together, these observations led us to develop an original set of 3 elementary enzymatic reactions: the PEN-DNA toolbox. The architecture of the assembly, i.e. the connectivity between nodes relies on the sequence of synthetic DNA strands (called DNA templates), and 3 enzymes (a polymerase, a nickase and an exonuclease) are taking care of catalysis. The production and degradation of intermediates consume deoxyribonucleoside triphosphates (dNTP) and produce deoxynucleotide monophosphates leading to the dissipation of chemical potential. Reactions are monitored thanks to a backbone modification of a template with a fluorophore and the nucleobase quenching effect consecutive to an input strand binding the template. The activation mechanism is then the production of an output following the triggering of an input strand, and the inhibition comes from the production of an output strand that binds the activator-producing sequence. Various behaviors such as oscillation, bistability, or switchable memory have been implemented, requiring more and more complex topologies. For that, each circuit requires a fine tuning in the amount of chemical parameters, such as templates and enzymes. This underlies the fact that a given network may lead to different demeanors depending on the set of parameters. Mapping the output of each combination in the parameter space to find out the panel of behaviors leads to the bifurcation diagram of the system. In order to explore exhaustively the possibilities of one circuit with a reasonable experimental cost, we developped a microfluidic tool generating picoliter-sized water-in-oil droplets with different contents. We overcame the technical challenges in hardware (microfluidic design, droplet generation and long-term observation) and wetware (tracability of the droplet and emulsion compatibility/stability). So far, bifurcation diagrams were calculated from mathematical models based on the enzymes kinetics and the thermodynamic properties of each reaction. The model was then fitted with experimental data taken in distant points in the parameter space. Here, millions of droplets are created, and each one encloses a given amount of parameters, becoming one point in the diagram. The parameter coordinates are barcoded in the droplet, and the output fluorescence signal is recorded by time lapse microscopy. We first applied this technique to a well-known network, and obtained the first experimental two-dimensional bifurcation diagram of the bistable system. The diagram enlightens features that were not described by the previous mathematical model. (...)
Caufield, J. Harry. "Interactomics-Based Functional Analysis: Using Interaction Conservation To Probe Bacterial Protein Functions." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4580.
Full textDravenstott, Ronald W. "Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1337780178.
Full textSong, Fei. "Deregulated power transmission analysis and planning in congested networks." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/4819.
Full textRodrigues, Félix Carvalho. "Smoothed analysis in Nash equilibria and the Price of Anarchy." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/54866.
Full textThis thesis analyzes problems in game theory with respect to perturbation. It uses smoothed analysis to accomplish such task and focuses on two kind of games, bimatrix games and the traffic assignment problem. The Lemke-Howson algorithm is a widely used algorithm to compute a Nash equilibrium of a bimatrix game. This problem is PPAD-complete (Polynomial Parity Arguments on Directed graphs), and there exists an instance which takes exponential time (with any starting pivot.) It has been proven that even with a smoothed analysis it is still exponential. However, no experimental study has been done to verify and evaluate in practice how the algorithm behaves in such cases. This thesis shows in detail how the current known worst-case instances are generated and shows that the performance of the algorithm on these instances, when perturbed, differs from the expected behavior proven in theory. The Traffic Assignment Problem models a situation in a road network where users want to travel from an origin to a destination. It can be modeled as a game using game theory, with a Nash equilibrium happening when users behave selfishly and an optimal social welfare being the best possible flow from a global perspective. We provide a new measure, which we call the Smoothed Price of Anarchy, based on the smoothed analysis of algorithms in order to analyze the effects of perturbation on the Price of Anarchy. Using this measure, we analyze the effects that perturbation has on the Price of Anarchy for real and theoretical instances for the Traffic Assignment Problem. We demonstrate that the Smoothed Price of Anarchy remains in the same order as the original Price of Anarchy for polynomial latency functions. Finally, we study benchmark instances in relation to perturbation.
Dusílek, Adam. "Oceňování dobrovolné práce při pořádání velké sportovní akce." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198013.
Full textOujezský, Václav. "Konvergované sítě a tomografie síťového provozu s využitím evolučních algoritmů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-320776.
Full textBooks on the topic "Analytic Network Proce"
Wright, Maurice. The comparative analysis of industrial policies: Policy networks and sectoral governance structures in Britain and France. Manchester: European Policy Research Unit, Department of Government, Victoria University of Manchester, 1991.
Find full textBassnett, Madeline, and Hillary M. Nunn. In the Kitchen, 1550–1800. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463721646.
Full textIammarino, Simona, and Philip McCann. Network Geographies and Geographical Networks: Co-dependence and Co-evolution of Multinational Enterprises and Space. Edited by Gordon L. Clark, Maryann P. Feldman, Meric S. Gertler, and Dariusz Wójcik. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198755609.013.48.
Full textO'Halloran, Kieran, Jonathan Culpeper, and David L. Hoover. Digital Literary Studies: Corpus Approaches to Poetry, Prose, and Drama. Taylor & Francis Group, 2014.
Find full textO'Halloran, Kieran, Jonathan Culpeper, and David L. Hoover. Digital Literary Studies: Corpus Approaches to Poetry, Prose, and Drama. Taylor & Francis Group, 2014.
Find full textO'Halloran, Kieran, Jonathan Culpeper, and David L. Hoover. Digital Literary Studies: Corpus Approaches to Poetry, Prose, and Drama. Taylor & Francis Group, 2016.
Find full textO'Halloran, Kieran, Jonathan Culpeper, and David L. Hoover. Digital Literary Studies: Corpus Approaches to Poetry, Prose, and Drama. Taylor & Francis Group, 2014.
Find full textO'Halloran, Kieran, Jonathan Culpeper, and David L. Hoover. Digital Literary Studies: Corpus Approaches to Poetry, Prose, and Drama. Taylor & Francis Group, 2014.
Find full textTheiner, Georg, and Nikolaus Fogle. The “Ontological Complicity” of Habitus and Field. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801764.003.0012.
Full textNofer, Michael. Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2015.
Find full textBook chapters on the topic "Analytic Network Proce"
Al-Shayea, Qeethara. "Deep Neural Network to Forecast Stock Market Price." In Digital Economy, Business Analytics, and Big Data Analytics Applications, 125–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05258-3_12.
Full textDu, Juan. "Analyzing the Structural Complexity of Software Systems Using Complex Network Theory." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 478–86. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_49.
Full textYashwanth Raj, K., B. S. Devpriyadharsan, and B. Sowmiya. "Stock Price Prediction Using Data Analysis and Visualization." In Communication, Software and Networks, 513–22. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4990-6_47.
Full textAwoke, Temesgen, Minakhi Rout, Lipika Mohanty, and Suresh Chandra Satapathy. "Bitcoin Price Prediction and Analysis Using Deep Learning Models." In Communication Software and Networks, 631–40. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5397-4_63.
Full textBalasubramanian, A. R., Lucie Guillou, and Chana Weil-Kennedy. "Parameterized Analysis of Reconfigurable Broadcast Networks." In Lecture Notes in Computer Science, 61–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99253-8_4.
Full textKostopoulos, Georgios, Maria Tsiakmaki, Sotiris Kotsiantis, and Omiros Ragos. "Deep Dense Neural Network for Early Prediction of Failure-Prone Students." In Learning and Analytics in Intelligent Systems, 291–306. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49724-8_13.
Full textYu, ShuiLing, and Zhe Li. "Forecasting Stock Price Index Volatility with LSTM Deep Neural Network." In Recent Developments in Data Science and Business Analytics, 265–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72745-5_29.
Full textShi, Lei, Yahui Li, Boon Thau Loo, and Rajeev Alur. "Network Traffic Classification by Program Synthesis." In Tools and Algorithms for the Construction and Analysis of Systems, 430–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_23.
Full textPrakash, N., and G. Sumaiya Farzana. "Short Term Price Forecasting of Horticultural Crops Using Long Short Term Memory Neural Network." In Learning and Analytics in Intelligent Systems, 111–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46943-6_12.
Full textLi, Jung-Bin, Szu-Yin Lin, Fang-Yie Leu, and Yen-Chu Chu. "Stock Price Trend Prediction Using LSTM and Sentiment Analysis on News Headlines." In Lecture Notes in Networks and Systems, 282–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20029-8_27.
Full textConference papers on the topic "Analytic Network Proce"
Posluch, Samuel, and Pavol Pecho. "Analysis of implementation instrument approaches for hems heliports." In Práce a štúdie. University of Žilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.1.36.
Full textPätoprstý, Matúš, and Andrej Novák. "CPDLC, effects on increasing efficiency and safety in air traffic (system substitute for GA)." In Práce a štúdie. University of Žilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.1.20.
Full textRowlands, David Olusina, and Mark Savill. "Gas Turbine Engine Price Estimation Using Artificial Neural Network." In ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/power2018-7141.
Full textBullinger, Martin, Pascal Lenzner, and Anna Melnichenko. "Network Creation with Homophilic Agents." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/22.
Full textKalaiselvi, N., K. R. Aravind, S. Balaguru, and V. Vijayaragul. "Retail price analytics using backpropogation neural network and sentimental analysis." In 2017 Fourth International Conference on Signal Processing,Communication and Networking (ICSCN). IEEE, 2017. http://dx.doi.org/10.1109/icscn.2017.8085696.
Full textZhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning." In 8th International Conference on Artificial Intelligence and Applications (AI 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121809.
Full textAlwis, Tilshi, and Punsisi Pemarathna. "Special Event Item Prediction System for Retails – Using Neural Network Approach." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/bbly6340.
Full textNoever, David, and Samantha E. Miller Noever. "Deep Learning for Identifying Malicious Firmware." In 3rd International Conference on Machine Learning & Applications (CMLA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111506.
Full textXiradakis, N., and Y. G. Li. "Gas Turbine and Sensor Fault Diagnosis With Nested Artificial Neural Networks." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53570.
Full textYekani Fard, Masoud, Samuel Perrino, and Conor Hedman. "Stochastic Analysis of the Carbon Nanotube Network Interphase in Dry and Pre-Infused Buckypaper." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95523.
Full textReports on the topic "Analytic Network Proce"
Nazneen, Sohela, and Maria Fernanda Silva Olivares. Strengthening Women’s Inclusion in Social Accountability Initiatives. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/ids.2021.002.
Full textJore Ali, Aisha, Javier Fuenzalida, Margarita Gómez, and Martin Williams. FOUR LENSES ON PEOPLE MANAGEMENT IN THE PUBLIC SECTOR. People in Government Lab, May 2021. http://dx.doi.org/10.35489/bsg-peoplegov-wp_2021/001.
Full textGomez-Gonzalez, Jose E., Jorge M. Uribe, and Oscar M. Valencia. Risk Spillovers between Global Corporations and Latin American Sovereigns: Global Factors Matter. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004266.
Full textHotsur, Oksana. FROM THE ECONOMIC CRISIS TO COVID-19: FEATURES OF THE DEVELOPMENT OF THE PRINT MEDIA MARKET OF UKRAINE. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11396.
Full textWilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.
Full textWilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.
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