Relevant bibliographies by topics / Prediction routing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Prediction routing'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Prediction routing"

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Memon, Ambreen, Sardar M. N. Islam, Muhammad Nadeem Ali, and Byung-Seo Kim. "Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction." Sensors 25, no. 5 (2025): 1414. https://doi.org/10.3390/s25051414.

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The proliferation of smart devices such as sensors and communication devices has necessitated the development of networks that can adopt device-to-device communication for delay-tolerant data transfer and energy efficiency. Therefore, there is a need to develop opportunistic networks to enhance energy efficiency through improved data routing. A sensor device equipped with computing, communication, and mobility capabilities can opportunistically transfer data to another device, either as a direct recipient or as an intermediary forwarding data to a third device. Routing algorithms designed for
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Nunez Segura, Gustavo A., and Cintia Borges Margi. "Centralized Energy Prediction in Wireless Sensor Networks Leveraged by Software-Defined Networking." Energies 14, no. 17 (2021): 5379. http://dx.doi.org/10.3390/en14175379.

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Resource Constraints in Wireless Sensor Networks are a key factor in protocols and application design. Furthermore, energy consumption plays an important role in protocols decisions, such as routing metrics. In Software-Defined Networking (SDN)-based networks, the controller is in charge of all control and routing decisions. Using energy as a metric requires such information from the nodes, which would increase packets traffic, impacting the network performance. Previous works have used energy prediction techniques to reduce the number of packets exchanged in traditional distributed routing pr
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Pavithra, H., and G. N Srinivasan. "An Approach for Traffic Prediction in SDN for Performing Routing." International Journal of Science and Research (IJSR) 11, no. 6 (2022): 428–29. http://dx.doi.org/10.21275/sr22604123214.

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Wu Xiaohua, and Li Jianping. "Routing Algorithm based on Mobility Prediction." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 2 (2012): 218–26. http://dx.doi.org/10.4156/aiss.vol4.issue2.27.

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BOVET, DANIEL P., MIRIAM DI IANNI, and PIERLUIGI CRESCENZI. "DEADLOCK PREDICTION IN THE CASE OF DYNAMIC ROUTING." International Journal of Foundations of Computer Science 01, no. 03 (1990): 185–99. http://dx.doi.org/10.1142/s012905419000014x.

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One of the main issues in flow control problems is deadlock of messages caused by a limited amount of resources. In this paper, the problem of predicting whether a deadlock will necessarily occur in a Store-and-Forward Network is analyzed. We show that, in the case of dynamic routing, the deadlock prediction problem can be decided in polynomial time if tokens are allowed to transit more than once through the same vertex, in contrast with an NP-completeness result in the case where they are allowed to transit at most once.
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Rashid, Sami AbdulJabbar, Mustafa Maad Hamdi, Aymen Jalil AbdulElah, Yasir Jasim Ahmed Rajab, and Khalid AbdulHakeem Zaaile. "Link stability based multipath routing and effective mobility prediction in cognitive radio enabled vehicular ad hoc network." Bulletin of Electrical Engineering and Informatics 13, no. 1 (2024): 215–21. http://dx.doi.org/10.11591/eei.v13i1.5222.

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Vehicular ad hoc networks (VANETs) provide a robust infrastructure for intelligent transportation system (ITS) applications. VANET communication involves vehicle-to-vehicle and vehicle-to-infrastructure connections, primarily with roadside units (RSUs). Analyzing cognitive radio (CR)-VANET studies revealed two key performance issues: high energy consumption and latency. To address these challenges, we propose a novel approach: link stability and mobility prediction-based clustered CR-VANETs, known as LMCCR-VANET. LMCCR-VANET consists of four main components: CR-VANET construction, clustering m
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Kim, Kwangsoo, Minseok Kwon, Jaegeun Park, and Yongsoon Eun. "Dynamic Vehicular Route Guidance Using Traffic Prediction Information." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/3727865.

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We propose a dynamic vehicular routing algorithm with traffic prediction for improved routing performance. The primary idea of our algorithm is to use real-time as well as predictive traffic information provided by a central routing controller. In order to evaluate the performance, we develop a microtraffic simulator that provides road networks created from real maps, routing algorithms, and vehicles that travel from origins to destinations depending on traffic conditions. The performance is evaluated by newly defined metric that reveals travel time distributions more accurately than a commonl
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DI IANNI, MIRIAM. "WORMHOLE DEADLOCK PREDICTION." Parallel Processing Letters 10, no. 04 (2000): 295–303. http://dx.doi.org/10.1142/s0129626400000287.

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Deadlock prevention is usually realized by forbidding transmissions that could eventually cause a deadlock to occur. However, an optimal routing algorithm with respect to channel utilization forbids transmissions only when they would bring the network into a configuration that will necessarily evolve into a deadlock. Hence, optimal deadlock prevention is closely related to deadlock prediction. In this paper it is shown that wormhole deadlock and livelock prediction is a hard problem for both oblivious and adaptive routing.
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Xu, Xiaoling, and Wei Cui. "Research on AdHoc network routing algorithm for link stability prediction." Journal of Physics: Conference Series 2807, no. 1 (2024): 012023. http://dx.doi.org/10.1088/1742-6596/2807/1/012023.

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Abstract This study aims to improve network communication efficiency and reliability by researching routing algorithms for predicting link stability in AdHo networks. AdHoc network is a self-organizing, decentralized network structure in which nodes establish temporary connections through wireless communication, making the network resilient and flexible. However, due to the continuous changes in network topology and the instability of wireless links, routing problems in AdHoc networks have become particularly complex. This article proposes a backup path routing algorithm LS-BPR based on link s
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Anita, X., M. A. Bhagyaveni, and J. Martin Leo Manickam. "Fuzzy-Based Trust Prediction Model for Routing in WSNs." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/480202.

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The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust p
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Dissertations / Theses on the topic "Prediction routing"

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Marín, Tordera Eva. "A prediction-based routing mechanism for optical and IP/MPLS networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2007. http://hdl.handle.net/10803/31775.

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En los últimos años, las nuevas aplicaciones de Internet tales como aplicaciones multimedia, video a demanda, etc, requieren progresivamente mayor capacidad y garantías de calidad de servicio. En ese sentido el modelo de transmisión de tráfico ha ido cambiando hacia Redes Ópticas las cuales proporcionan mayor capacidad y fiabilidad. Esta Tesis se encamina a proporcionar nuevos mecanismos de routing basados en conceptos predictivos para ser aplicados tanto en Redes Ópticas como redes IP/MPLS. El proceso de routing implica seleccionar la ruta (o ruta y longitud de onda en Redes Ópticas) que me
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Millán, Marco Pere. "Improving the Routing Layer of Ad Hoc Networks Through Prediction Techniques." Doctoral thesis, Universitat Rovira i Virgili, 2018. http://hdl.handle.net/10803/663301.

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Cada dia és més evident el paper clau que juguen la informàtica/computació mòbil i les tecnologies sense fils a les nostres activitats diàries. Estar sempre connectat, en qualsevol moment i lloc, és actualment més una necessitat que un luxe. Els escenaris de computació ubics creats en base a aquests avenços tecnològics, permeten a les persones proporcionar i consumir informació compartida. En aquests escenaris, les xarxes que donen suport a aquestes comunicacions són típicament sense fils i ad hoc. Les característiques dinàmiques i canviants de les xarxes ad hoc, fan que el treball realitza
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Dai, Zhibin. "Routability prediction for Field Programmable Gate Arrays with a routing hierarchy." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ56315.pdf.

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Engelbrektsson, Gustaf. "Forecasting future delivery orders to support vehicle routing and selection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236482.

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Courier companies receive delivery orders at different times in advance. Some orders are known long beforehand, some arise with a very short notice. Currently the order delegation, deciding which car is going to drive which order, is performed completely manually by a (TL) where the TL use their experience to guess upcoming orders. If delivery orders could be predicted beforehand, algorithms could create suggestions for vehicle routing and vehicle selection. This thesis used the data set from a Stockholm based courier company. The Stockholm area was divided into zones using agglomerative clust
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Walter, Felix [Verfasser], Alexander [Gutachter] Schill, Carlo [Gutachter] Caini, Thorsten [Gutachter] Strufe, and Marius [Gutachter] Feldmann. "Prediction-enhanced Routing in Disruption-tolerant Satellite Networks / Felix Walter ; Gutachter: Alexander Schill, Carlo Caini, Thorsten Strufe, Marius Feldmann." Dresden : Technische Universität Dresden, 2020. http://d-nb.info/1227202059/34.

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Kim, Dae Hyun. "Through-silicon-via-aware prediction and physical design for multi-granularity 3D integrated circuits." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43642.

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The main objective of this research is to predict the wirelength, area, delay, and power of multi-granularity three-dimensional integrated circuits (3D ICs), to develop physical design methodologies and algorithms for the design of multi-granularity 3D ICs, and to investigate the impact of through-silicon vias (TSVs) on the quality of 3D ICs. This dissertation supports these objectives by addressing six research topics. The first pertains to analytical models that predict the interconnects of multi-granularity 3D ICs, and the second focuses on the development of analytical models of the capaci
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Saint-Guillain, Michael. "Models and algorithms for online stochastic vehicle routing problems." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI068.

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Quels seront les objectifs et défis des métropoles de demain ? La plupart des problèmes issus du monde réel sont sujets à l'inconnu, nécessitant de prendre de nouvelles décisions de façon dynamique, à la demande, en fonction des évènements aléatoires qui se réalisent. Dans cette thèse, nous nous attaquons à un problème majeur, du moins en perspectives: la gestion dynamique d'une flotte de véhicules en contexte urbain. Les applications pratiques des tournées de véhicules à la demande sont nombreuses, incluant les transports publics intelligents, les services de livraison, les soins et intervent
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Qiao, Xiaohui. "Advancing the Accessibility, Reusability, and Interoperability of Environmental Modeling Workflows Through Web Services." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8889.

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Global flood forecasting can benefit developing countries and ungauged regions that lack observational data, computational infrastructure, and human capacity for streamflow modeling. Many technical challenges exist to provide flood predictions on a global scale. First, existing land surface forecasts use coarse resolution grid cells, which provide limited information when used for flood forecasting at local scales. There is, so far, no modeling system that can provide rapid and accurate global flood predictions with low cost. Second, accurate flood predictions often require integrating interdi
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Özbay, Kaan. "A framework for dynamic traffic diversion during non-recurrent congestion: models and algorithms." Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/39210.

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Real-time control of traffic diversion during non-recurrent congestion continues to be a challenging topic. Especially, with the advent of Intelligent Transportation Systems (ITS), the need for models and algorithms that will control the diversion in real-time, responding to the current traffic conditions has become evident. Several researchers have tried to solve this on-line control problem by adopting different approaches such as, expert systems, feedback control, and mathematical programming. In order to ensure the effectiveness of real-time traffic diversion, an implementation framework
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RAJSHIVA, KIRTIMAAN. "PERFORMANCE ENHANCEMENTS FOR Ad Hoc NETWORKS USING MOBILITY-LOCATION INFORMATION." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1132338696.

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Books on the topic "Prediction routing"

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Morin, Kevin A. The use of routine monitoring data for assessment and prediction of water chemistry. s.n, 1993.

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Adam, Pintz, and United States. National Aeronautics and Space Administration., eds. Ceramic material life prediction: A program to translate ANSYS results to CARES/LIFE reliability analysis : final report. National Aeronautics and Space Administration, 1994.

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Wolsey, Thomas DeVere. Learning to predict and predicting to learn: Cognitive strategies and instructional routines. Pearson/Allyn & Bacon, 2009.

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Fund, Milbank Memorial, ed. Educated guesses: Making policy about medical screening tests. University of California Press, 1994.

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B, Friedman Richard, and Young Donald S, eds. Effects of disease on clinical laboratory tests. 3rd ed. AACC Press, 1997.

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B, Friedman Richard, ed. Effects of disease on clinical laboratory tests. 4th ed. AACC Press, 2001.

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Predicting Catastrophic BGP Routing Instabilities. Storming Media, 2004.

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Jones, Kent Leslie. An analysis of predictive adaptive routing in a HF packet radio network. 1994.

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The Characterization and Prediction of Soldier Performance During Routine Service and in Combat. Storming Media, 2002.

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Zastrau, David. Estimation of Uncertainty of Wind Energy Predictions: With Application to Weather Routing and Wind Power Generation. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2017.

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Book chapters on the topic "Prediction routing"

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Liu, Shaoshan, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot. "Prediction and Routing." In Creating Autonomous Vehicle Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01802-2_5.

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Liu, Shaoshan, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot. "Prediction and Routing." In Creating Autonomous Vehicle Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01805-3_5.

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Mohrehkesh, Shahram, Mahmoud Fathy, and Saleh Yousefi. "Prediction Based QoS Routing in MANETs." In Distributed Computing and Networking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11947950_5.

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Turky, Abutaleb Abdelmohdi, and Andreas Mitschele-Thiel. "MPLS Online Routing Optimization Using Prediction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00393-6_6.

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Abdellaoui Alaoui, El Arbi, Khalid Nassiri, Stéphane Cédric Koumétio Tékouabou, and Said Agoujil. "Explainable Prediction of Intelligent DTN Routing." In Artificial Intelligence and Smart Environment. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_59.

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Cardei, Ionut, Cong Liu, Jie Wu, and Quan Yuan. "DTN Routing with Probabilistic Trajectory Prediction." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88582-5_7.

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Turky, Abutaleb Abdelmohdi, Florian Liers, and Andreas Mitschele-Thiel. "Self-optimizing Mechanism for Prediction-Based Decentralized Routing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29222-4_32.

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Varga, László Z. "Two Prediction Methods for Intention-Aware Online Routing Games." In Multi-Agent Systems and Agreement Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01713-2_30.

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Nurul, Huda Md, M. Julius Hossain, Shigeki Yamada, Eiji Kamioka, and Ok-Sam Chae. "Cost-Effective Lifetime Prediction Based Routing Protocol for MANET." In Information Networking. Convergence in Broadband and Mobile Networking. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30582-8_18.

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Wang, Li, Joan Q. Wu, William J. Elliot, et al. "Implementation of channel-routing routines in the Water Erosion Prediction Project (WEPP) model." In Proceedings of the 2009 SIAM Conference on “Mathematics for Industry”. Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611973303.14.

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Conference papers on the topic "Prediction routing"

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Qi, Zhongdong, Qi Peng, Shizhe Hu, and Hailong You. "Effective Heterogeneous Graph Neural Network for Routing Congestion Prediction." In 2024 2nd International Symposium of Electronics Design Automation (ISEDA). IEEE, 2024. http://dx.doi.org/10.1109/iseda62518.2024.10617734.

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Zhong, Linfeng, Lei Zhang, Hao Yang, Qinwei Zhong, Jin Huang, and Fei Hu. "A UAV Routing Protocol Based on Short-Time Trajectory Prediction." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696899.

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Bazylevych, Roman, Marek Pałasiński, and Lubov Bazylevych. "Topologically-Geometric Routing." In SLIP '16: System Level Interconnect Prediction Workshop. ACM, 2016. http://dx.doi.org/10.1145/2947357.2947367.

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Kemmerer, Julian, and Baris Taskin. "Range-based Dynamic Routing of Hierarchical On Chip Network Traffic." In SLIP (System Level Interconnect Prediction). ACM Press, 2014. http://dx.doi.org/10.1145/2633948.2633953.

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Han, Sung Kyu, Kwangok Jeong, Andrew B. Kahng, and Jingwei Lu. "Stability and scalability in global routing." In 2011 International Workshop on System Level Interconnect Prediction (SLIP). IEEE, 2011. http://dx.doi.org/10.1109/slip.2011.6135431.

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Kodialam, Murali, and T. V. Lakshman. "Prediction Augmented Segment Routing." In 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR). IEEE, 2021. http://dx.doi.org/10.1109/hpsr52026.2021.9481858.

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Liang, Rongjian, Zhiyao Xie, Jinwook Jung, et al. "Routing-free crosstalk prediction." In ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design. ACM, 2020. http://dx.doi.org/10.1145/3400302.3415712.

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Condrat, Christopher, Priyank Kalla, and Steve Blair. "Channel routing for integrated optics." In 2013 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP). IEEE, 2013. http://dx.doi.org/10.1109/slip.2013.6681678.

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Tu, Peishan, Wing-Kai Chow, and Evangeline F. Y. Young. "Timing driven routing tree construction." In 2017 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP). IEEE, 2017. http://dx.doi.org/10.1109/slip.2017.7974908.

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Hutton, Mike. "Session details: Evaluation and prediction of FPGA routing resources." In SLIP06: International Workshop on System Level Interconnect Prediction. ACM, 2006. http://dx.doi.org/10.1145/3245442.

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Reports on the topic "Prediction routing"

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Dover, Shlomo H. The Characterization and Prediction of Soldier Performance During Routine Service and in Combat. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada399051.

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Sweetman, Bert, Alok K. Jha, and Steven R. Winterstein. Second-Order Random Ocean Waves: Prediction of Temporal and Spatial Variation. The Routine Wavemaker. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada390457.

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Meidani, Hadi, and Amir Kazemi. Data-Driven Computational Fluid Dynamics Model for Predicting Drag Forces on Truck Platoons. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-036.

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Fuel-consumption reduction in the truck industry is significantly beneficial to both energy economy and the environment. Although estimation of drag forces is required to quantify fuel consumption of trucks, computational fluid dynamics (CFD) to meet this need is expensive. Data-driven surrogate models are developed to mitigate this concern and are promising for capturing the dynamics of large systems such as truck platoons. In this work, we aim to develop a surrogate-based fluid dynamics model that can be used to optimize the configuration of trucks in a robust way, considering various uncert
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Avihingsanon, Yingyos, Jongkonnee Wongpiyabovorn, and Nattiya Hirankarn. Biomarker discovery in systemic lupus erythematosus: genome-methylation approaches : Research report. Chulalongkorn University, 2010. https://doi.org/10.58837/chula.res.2010.15.

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Discovery of novel biomarkers in lupus nephritis Biomarkers are needed for making diagnosis and prognosis. In lupus nephritis, conventional tests like urinalysis or serum creatinine remain inadequate for patient care. In this proposal, we focused on non-invasive tools like blood and urine mRNAs or proteins. We chose candidate genes involving regulatory T-cell, B-lymphocyte signatures or vascular protective factors. Expression of regulatory cell signature (FOXP3) in peripheral blood mononuclear cells is associated with activity of lupus nephritis. We found FOXP3 mRNA levels in PBMCs from patien
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Smit, Amelia, Kate Dunlop, Nehal Singh, Diona Damian, Kylie Vuong, and Anne Cust. Primary prevention of skin cancer in primary care settings. The Sax Institute, 2022. http://dx.doi.org/10.57022/qpsm1481.

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Overview Skin cancer prevention is a component of the new Cancer Plan 2022–27, which guides the work of the Cancer Institute NSW. To lessen the impact of skin cancer on the community, the Cancer Institute NSW works closely with the NSW Skin Cancer Prevention Advisory Committee, comprising governmental and non-governmental organisation representatives, to develop and implement the NSW Skin Cancer Prevention Strategy. Primary Health Networks and primary care providers are seen as important stakeholders in this work. To guide improvements in skin cancer prevention and inform the development of th
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DCE-MRI V.2, Consensus QIBA Profile. Chair Hendrik Laue and James O'Connor. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2023. https://doi.org/10.1148/qiba/20231206.

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The goal of the DCE-MRI quantification QIBA Profile version 2.0 is to provide an update from the Dynamic Contrast Enhanced MRI (DCE-MRI) Quantification profile (version 1.0, dated July 1, 2012) in order to include the use of 3 Tesla (T) MRI and the use of parallel imaging with receiver coil arrays. While many pharmacokinetic models have been described, this QIBA Profile (DCE-MRI Quantification) specifically addresses the physiological parameter Ktrans derived from the Tofts or generalized kinetic model (GKM) (1), which is correlated with the vessel (surface/area product and permeability) and h
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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