Academic literature on the topic 'Parameter adaptation'

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Journal articles on the topic "Parameter adaptation"

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Peek, M. D., and P. J. Antsaklis. "Parameter learning for performance adaptation." IEEE Control Systems Magazine 10, no. 7 (1990): 3–11. http://dx.doi.org/10.1109/37.62676.

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Nair, Dr Prabha Shreeraj. "Fuzzy Logic Based Parameter Adaptation of Interior Search Algorithm." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 1281–88. http://dx.doi.org/10.31142/ijtsrd2378.

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Dawar, Deepak, and Simone A. Ludwig. "Effect of Strategy Adaptation on Differential Evolution in Presence and Absence of Parameter Adaptation: An Investigation." Journal of Artificial Intelligence and Soft Computing Research 8, no. 3 (2018): 211–35. http://dx.doi.org/10.1515/jaiscr-2018-0014.

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AbstractDifferential Evolution (DE) is a simple, yet highly competitive real parameter optimizer in the family of evolutionary algorithms. A significant contribution of its robust performance is attributed to its control parameters, and mutation strategy employed, proper settings of which, generally lead to good solutions. Finding the best parameters for a given problem through the trial and error method is time consuming, and sometimes impractical. This calls for the development of adaptive parameter control mechanisms. In this work, we investigate the impact and efficacy of adapting mutation
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Stanovov, Vladimir, Shakhnaz Akhmedova, and Eugene Semenkin. "Biased parameter adaptation in differential evolution." Information Sciences 566 (August 2021): 215–38. http://dx.doi.org/10.1016/j.ins.2021.03.016.

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Tongchim, Shisanu, and Prabhas Chongstitvatana. "Parallel genetic algorithm with parameter adaptation." Information Processing Letters 82, no. 1 (2002): 47–54. http://dx.doi.org/10.1016/s0020-0190(01)00286-1.

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Blum, Yvonne, Susanne W. Lipfert, and Andre Seyfarth. "Leg parameter adaptation for stable running." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 153, no. 2 (2009): S120. http://dx.doi.org/10.1016/j.cbpa.2009.04.190.

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Zheng Shi-Lian and Yang Xiao-Niu. "Parameter adaptation in green cognitive radio." Acta Physica Sinica 61, no. 14 (2012): 148402. http://dx.doi.org/10.7498/aps.61.148402.

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He, Xuehai, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, and Xin Eric Wang. "Parameter-Efficient Model Adaptation for Vision Transformers." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 817–25. http://dx.doi.org/10.1609/aaai.v37i1.25160.

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In computer vision, it has achieved great transfer learning performance via adapting large-scale pretrained vision models (e.g., vision transformers) to downstream tasks. Common approaches for model adaptation either update all model parameters or leverage linear probes. In this paper, we aim to study parameter-efficient model adaptation strategies for vision transformers on the image classification task. We formulate efficient model adaptation as a subspace training problem and perform a comprehensive benchmarking over different efficient adaptation methods. We conduct an empirical study on e
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Gonuguntla, V., R. Mallipeddi, and Kalyana C. Veluvolu. "Differential Evolution with Population and Strategy Parameter Adaptation." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/287607.

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Differential evolution (DE) is simple and effective in solving numerous real-world global optimization problems. However, its effectiveness critically depends on the appropriate setting of population size and strategy parameters. Therefore, to obtain optimal performance the time-consuming preliminary tuning of parameters is needed. Recently, different strategy parameter adaptation techniques, which can automatically update the parameters to appropriate values to suit the characteristics of optimization problems, have been proposed. However, most of the works do not control the adaptation of th
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Stanovov, Vladimir, and Eugene Semenkin. "Surrogate-Assisted Automatic Parameter Adaptation Design for Differential Evolution." Mathematics 11, no. 13 (2023): 2937. http://dx.doi.org/10.3390/math11132937.

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In this study, parameter adaptation methods for differential evolution are automatically designed using a surrogate approach. In particular, Taylor series are applied to model the searched dependence between the algorithm’s parameters and values, describing the current algorithm state. To find the best-performing adaptation technique, efficient global optimization, a surrogate-assisted optimization technique, is applied. Three parameters are considered: scaling factor, crossover rate and population decrease rate. The learning phase is performed on a set of benchmark problems from the CEC 2017
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Dissertations / Theses on the topic "Parameter adaptation"

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Sozio, John Charles. "Intelligent Parameter Adaptation for Chemical Processes." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/34089.

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Reducing the operating costs of chemical processes is very beneficial in decreasing a company's bottom line numbers. Since chemical processes are usually run in steady-state for long periods of time, saving a few dollars an hour can have significant long term effects. However, the complexity involved in most chemical processes from nonlinear dynamics makes them difficult processes to optimize. A nonlinear, open-loop unstable system, called the Tennessee Eastman Chemical Process Control Problem, is used as a test-bed problem for minimization routines. A decentralized controller is first dev
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Smith, James Edward. "Self adaptation in evolutionary algorithms." Thesis, University of the West of England, Bristol, 1998. http://eprints.uwe.ac.uk/11046/.

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Evolutionary Algorithms are search algorithms based on the Darwinian metaphor of “Natural Selection”. Typically these algorithms maintain a population of individual solutions, each of which has a fitness attached to it, which in some way reflects the quality of the solution. The search proceeds via the iterative generation, evaluation and possible incorporation of new individuals based on the current population, using a number of parameterised genetic operators. In this thesis the phenomenon of Self Adaptation of the genetic operators is investigated. A new framework for classifying adaptive a
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Lloyd, John William. "Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29306.

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A method to adapt the Generalized Predictive Control parameters to improve broadband disturbance rejection was developed and tested. The effect of the parameters on disturbance rejection has previously been poorly understood and a trial and error method was used to achieve adequate results. This dissertation provides insight on the effect of the parameters, as well as an adaptive tuning method to adjust them. The study begins by showing the effect of the four GPC parameters, the control and prediction horizons, control weighting &lambda , and order, on the disturbance rejection and control
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Kurekli, Kenan. "System Parameter Adaptation Based On Image Metrics For Automatic Target Detection." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604966/index.pdf.

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Automatic object detection is a challenging field which has been evolving over decades. The application areas span many domains such as robotics inspection, medical imaging, military targeting, and reconnaissance. Some of the most concentrated efforts in automatic object detection have been in the military domain, where most of the problems deal with automatic target detection and scene analysis in the outdoors using a variety of sensors. One of the critical problems in Automatic Target Detection (ATD) systems is multiscenario adaptation. Most of the ATD systems developed until today perform u
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Bal, Gungor. "Performance analysis of field-orientation controlled induction motor with parameter adaptation." Thesis, University of Strathclyde, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392468.

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Cabrero, Daniel Beatriz. "Automating crowd simulation: from parameter tuning to dynamic context-to-policy adaptation." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673251.

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Computer-generated crowds are becoming more and more frequent in films, video games and safety assessment applications. Many crowd simulation algorithms exist to address the needs of this diverse range of industries. Even though the underlying principles are similar, there are large differences between the resulting synthetic trajectories. Each algorithm has strengths and weaknesses that need to be weighted, and appropriate parameter values for them must be selected as well. These are not easy tasks and Machine Learning algorithms are often used to guide these decisions. In this work we study
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John-Baptiste, Peter Jr. "Advancing Fully Adaptive Radar Concepts for Real-Time Parameter Adaptation and Decision Making." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595501564082873.

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Lundberg, Martin. "Automatic parameter tuning in localization algorithms." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158132.

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Many algorithms today require a number of parameters to be set in order to perform well in a given application. The tuning of these parameters is often difficult and tedious to do manually, especially when the number of parameters is large. It is also unlikely that a human can find the best possible solution for difficult problems. To be able to automatically find good sets of parameters could both provide better results and save a lot of time. The prominent methods Bayesian optimization and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) are evaluated for automatic parameter tuning i
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Güvenç, İsmail. "Towards practical design of impulse radio ultrawideband systems : parameter estimation and adaptation, interference mitigation, and performance analysis." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001525.

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Osterburg, Astrid [Verfasser]. "Einzelfall-Zeitreihenanalysen im Langdistanz-Triathlon : Reaktion und Adaptation physiologischer Parameter in Folge sehr hoher Trainingsbelastungen / Astrid Osterburg." Hamburg : Diplom.de, 2004. http://d-nb.info/1187934313/34.

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Books on the topic "Parameter adaptation"

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Barbakh, Wesam Ashour, Ying Wu, and Colin Fyfe. Non-Standard Parameter Adaptation for Exploratory Data Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04005-4.

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Barbakh, Wesam Ashour. Non-standard parameter adaptation for exploratory data analysis. Springer, 2009.

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Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5.

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Valdez, Fevrier, Cinthia Peraza, and Oscar Castillo. General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43950-7.

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Castillo, Oscar, Patricia Ochoa, and Jose Soria. Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62133-9.

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Fyfe, Colin, Ying Wu, and Wesam Ashour Barbakh. Non-Standard Parameter Adaptation for Exploratory Data Analysis. Springer, 2009.

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Springer, Colin Fyfe, Ying Wu, and Wesam Ashour Barbakh. Non-Standard Parameter Adaptation for Exploratory Data Analysis. Springer Berlin / Heidelberg, 2012.

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Castillo, Oscar, Patricia Melin, Fevrier Valdez, and Frumen Olivas. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Springer, 2018.

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Castillo, Oscar, Fevrier Valdez, and Cinthia Peraza. General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm. Springer, 2020.

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Ochoa, Patricia, Jose Soria, and Oscar Castillo. Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control. Springer International Publishing AG, 2020.

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Book chapters on the topic "Parameter adaptation"

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Landau, Ioan Doré, Tudor-Bogdan Airimitoaie, Abraham Castellanos-Silva, and Aurelian Constantinescu. "Parameter Adaptation Algorithms." In Adaptive and Robust Active Vibration Control. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41450-8_4.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Parameter Adaptation Algorithms—Deterministic Environment." In Adaptive Control. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_3.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Parameter Adaptation Algorithms—Stochastic Environment." In Adaptive Control. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_4.

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Landau, I. D., R. Lozano, and M. M’Saad. "Parameter Adaptation Algorithms — Deterministic Environment." In Adaptive Control. Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_3.

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Landau, I. D., R. Lozano, and M. M’Saad. "Parameter Adaptation Algorithms — Stochastic Environment." In Adaptive Control. Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_4.

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Maciejowski, J. M. "Parameter Estimation of Multivariable Systems Using Balanced Realizations." In Identification, Adaptation, Learning. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03295-4_2.

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Becker, Roland, and Boris Vexler. "Mesh Adaptation for Parameter Identification Problems." In Control and Estimation of Distributed Parameter Systems. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8001-5_3.

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Stützle, Thomas, Manuel López-Ibáñez, Paola Pellegrini, et al. "Parameter Adaptation in Ant Colony Optimization." In Autonomous Search. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_8.

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Tian, Jiaxu, and Fan Lyu. "Parameter-Selective Continual Test-Time Adaptation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-96-0966-6_19.

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Ahrari, Ali, and Daryl Essam. "An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization." In Adaptation, Learning, and Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88315-7_3.

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Conference papers on the topic "Parameter adaptation"

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Mercea, Otniel-Bogdan, Alexey Gritsenko, Cordelia Schmid, and Anurag Arnab. "Time-, Memory- and Parameter-Efficient Visual Adaptation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00529.

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Scheibenreif, Linus, Michael Mommert, and Damian Borth. "Parameter Efficient Self-Supervised Geospatial Domain Adaptation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.02630.

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Wang, Yanmei, Baichen Liu, Zhenduo Shang, and Zhi Han. "Privacy Protection Knowledge Distillation with Parameter Adaptation." In 2024 IEEE 14th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2024. http://dx.doi.org/10.1109/cyber63482.2024.10748948.

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Hou, Zejiang, Daniel Garcia-Romero, and Kyu J. Han. "Hyper-adapter for Parameter-Efficient Multilingual ASR Adaptation." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887809.

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Chen, Xiangyu, Jing Liu, Ye Wang, et al. "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00804.

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Zhong, Rui, Shilong Zhang, Jun Yu, and Masaharu Munetomo. "GeminiDE: A Novel Parameter Adaptation Scheme in Differential Evolution." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704309.

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Wu, Tz-Ying, Kyle Min, Subarna Tripathi, and Nuno Vasconcelos. "Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00897.

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Angelini, Christopher F., and Nidhal C. Bouaynaya. "Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650205.

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Zhao, Fei, and Chengcui Zhang. "Parameter-Efficient Adaptation of Foundation Models for Damaged Building Assessment." In 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2024. http://dx.doi.org/10.1109/mipr62202.2024.00072.

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Ramonat, Malte, Johannes Hujer, Felix Gehlhoff, and Alexander Fay. "An Assistance System for Simulation Model Adaptation and Parameter Validation." In 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON). IEEE, 2024. https://doi.org/10.1109/oncon62778.2024.10931344.

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Reports on the topic "Parameter adaptation"

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Abe, Yoshihiro, Yu Wun Chai, Yoshio Kano, and Masato Abe. Adaptation of Steer-by-Wire Parameters to Driver's Handling Characteristics. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0292.

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Chen, Yongzhou, Ammar Tahir, and Radhika Mittal. Controlling Congestion via In-Network Content Adaptation. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-018.

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Realizing that it is inherently difficult to match precisely the sending rates at the endhost with the available capacity on dynamic cellular links, we built a system, Octopus, that sends real-time data streams over cellular networks using an imprecise controller (that errs on the side of overestimating network capacity) and then drops appropriate packets in the cellular-network buffers to match the actual capacity. We designed parameterized primitives for implementing the packet-dropping logic, which the applications at the endhost can configure differently to express various content-adaptati
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Lee, J. Brian, Maxim Likhachev, and Ronald C. Arkin. Selection of Behavioral Parameters: Integration of Discontinuous Switching via Case-Based Reasoning With Continuous Adaptation via Learning Momentum. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada451775.

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Leis. L51865 Hydrotest Parameters to Help Control High-pH SCC on Gas Transmission Pipelines. Pipeline Research Council International, Inc. (PRCI), 1999. http://dx.doi.org/10.55274/r0010208.

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This report develops and validates a probabilistic model for high pH SCC on pipelines that can help operators to: quantify the condition of susceptible transmission pipelines assess the efficiency of controls for such SCC based on after coolers and periodic hydrostatic re-testing identify, evaluate, and control the related risks· prioritize rehabilitation to avoid in-service incidents. The probabilistic model is an adaptation of a first-generation model for high pH SCC known as the Stress-Corrosion Cracking Life Prediction Model, (SCCLPM). Its validation follows from the close match between si
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Paterson, Andrew H., Yehoshua Saranga, and Dan Yakir. Improving Productivity of Cotton (Gossypsum spp.) in Arid Region Agriculture: An Integrated Physiological/Genetic Approach. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573066.bard.

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Objectives: We seek to establish the basis for improving cotton productivity under arid conditions, by studying the water use efficiency - evaporative cooling interrelationship. Specifically, we will test the hypothesis that cotton productivity under arid conditions can be improved by combining high seasonal WUE with efficient evaporative cooling, evaluate whether high WUE and/or evaporative cooling are based on specific physiological factors such as diurnal flexibility in stomatal conductance, stomatal density, photosynthetic capacity, chlorophyll fluorescence, and plant water status. Genes i
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Bray, Elizabeth, Zvi Lerner, and Alexander Poljakoff-Mayber. The Role of Phytohormones in the Response of Plants to Salinity Stress. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7613007.bard.

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Salinity is an increasing problem in many irrigated areas of crop production and is a significant factor in reducing crop productivity. Developmental, physiological, and molecular responses to salinity were studied in order to improve our understanding of these responses. Improvements in our understanding of plant responses to salinity are necessary in order to develop crops with improved salt tolerance. Previously, in Israel, it was shown that Sorghum biccolor can adapt to an otherwise lethal concentration of NaCl. These experiments were refined and it was shown that there is a specific windo
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Van Ackern, Pia, and Adrien Detges. Climate change, vulnerability and security in the Sahel. Adelphi research gemeinnützige GmbH, 2022. http://dx.doi.org/10.55317/casc024.

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Climate change plays an important role in the future of the Sahel. Temperatures, particularly in the northern-central Sahel, could rise 1.5 times faster than the global average. Climate shocks and extreme events such as droughts and heavy rains are projected to become more frequent and severe. These changes are accompanied by other challenges: accelerated population growth, low economic productivity and production diversity, political conflicts and crises, inter-communal violence and violent extremism. However, the severity of climate impacts on livelihoods, food security, mobility and conflic
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Miles, Gaines E., Yael Edan, F. Tom Turpin, et al. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7570567.bard.

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In this work multispectral reflectance images are used in conjunction with a neural network classifier for the purpose of detecting and classifying weeds under real field conditions. Multispectral reflectance images which contained different combinations of weeds and crops were taken under actual field conditions. This multispectral reflectance information was used to develop algorithms that could segment the plants from the background as well as classify them into weeds or crops. In order to segment the plants from the background the multispectrial reflectance of plants and background were st
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Chiel, Elad, and Christopher J. Geden. Development of sustainable fly management tools in an era of global warming. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598161.bard.

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House flies (Muscadomestica) are global pests of animal agriculture, causing major annoyance, carrying pathogens among production facilities and humans and thus have profound impacts on animal comfort and productivity. Successful fly control requires an integrated pest management (IPM) approach that includes elements of manure management, mass trapping, biological control, and selective insecticide use. Insecticidal control of house flies has become increasingly difficult due to the rapidity with which resistance develops, even to new active ingredients. Global climate change poses additional
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Tuller, Markus, Asher Bar-Tal, Hadar Heller, and Michal Amichai. Optimization of advanced greenhouse substrates based on physicochemical characterization, numerical simulations, and tomato growth experiments. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7600009.bard.

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Over the last decade there has been a dramatic shift in global agricultural practice. The increase in human population, especially in underdeveloped arid and semiarid regions of the world, poses unprecedented challenges to production of an adequate and economically feasible food supply to undernourished populations. Furthermore, the increased living standard in many industrial countries has created a strong demand for high-quality, out-of-season vegetables and fruits as well as for ornamentals such as cut and potted flowers and bedding plants. As a response to these imminent challenges and dem
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