Relevant bibliographies by topics / Batch and sequential identification

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

Academic literature on the topic 'Batch and sequential identification'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Batch and sequential identification"

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Dai, Bo, Chongshi Gu, Erfeng Zhao, Kai Zhu, Wenhan Cao, and Xiangnan Qin. "Improved online sequential extreme learning machine for identifying crack behavior in concrete dam." Advances in Structural Engineering 22, no. 2 (2018): 402–12. http://dx.doi.org/10.1177/1369433218788635.

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Prediction models are essential in dam crack behavior identification. Prototype monitoring data arrive sequentially in dam safety monitoring. Given such characteristic, sequential learning algorithms are preferred over batch learning algorithms as they do not require retraining whenever new data are received. A new methodology using the genetic optimized online sequential extreme learning machine and bootstrap confidence intervals is proposed as a practical tool for identifying concrete dam crack behavior. First, online sequential extreme learning machine is adopted to build an online predicti
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Elhami, M. R., and D. J. Brookfield. "Identification of Coulomb and Viscous Friction in Robot Drives: An Experimental Comparison of Methods." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 210, no. 6 (1996): 529–40. http://dx.doi.org/10.1243/pime_proc_1996_210_228_02.

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This paper presents an experimental comparison of five methods of identifying friction in robot drives. The methods considered are direct plotting of velocity versus armature voltage, plotting velocity versus armature current, third harmonic estimation, batch least squares and sequential least squares. These methods were implemented on a d.c. servo motor robot drive system to identify Coulomb and viscous friction parameters. It is shown that an asymmetric Coulomb and viscous model properly identifies the frictional torque due to the combined sliding and rolling friction in the motor. Furthermo
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El-Rabbany, Ahmed, and Mohamed El-Diasty. "A New Approach to Sequential Tidal Prediction." Journal of Navigation 56, no. 2 (2003): 305–14. http://dx.doi.org/10.1017/s0373463303002285.

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Accurate tide prediction is required for safe marine navigation in shallow waters as well as for other marine operations. Traditionally, tide prediction was carried out using the harmonic method, which is based on the identification of the harmonic tidal constituents existing in the tidal record. Unfortunately, however, unless long tidal records are available at the tide gauges, some important tidal constituents may not be identified. This, in turn, deteriorates the accuracy of the tidal prediction. More recently, a sequential least-squares prediction method capable of using relatively short t
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Lee, S. H., J. H. Ko, J. R. Kim, et al. "Identification of the adverse effect of nitrate on the phosphate release rate and improvement of EBPR process models." Water Science and Technology 53, no. 4-5 (2006): 115–23. http://dx.doi.org/10.2166/wst.2006.116.

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The adverse effect of nitrate on the phosphate release rate in the anaerobic phase was observed and was hardly explainable with conventional EBPR process models. Four possible mechanisms were proposed including substrate competition, reduced fermentation, parallel reaction and sequential reaction. Batch experiments were designed and conducted to identify the dominant mechanism. Results showed that the sequential reaction was the only possible mechanism where only denitrification occurred if any nitrate existed in the anaerobic phase. Then the phosphate release following after the nitrate was c
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Zhang, Shumei, Chunhui Zhao, and Furong Gao. "Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths." Chemical Engineering Science 178 (March 2018): 104–17. http://dx.doi.org/10.1016/j.ces.2017.12.025.

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Yu, Hong, Alex Pyankov, and Marcus Perla. "A Developed Sensor for Color Identification, Sorting and Counting Automation Control System." European Journal of Engineering and Technology Research 6, no. 2 (2021): 75–80. http://dx.doi.org/10.24018/ejers.2021.6.2.2363.

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Knowing how to manipulate the data from environment to automation control systems in industry can innovate and improve a quality of the products effectively. In plastic manufacturing, there is a need of automated control system that can recognize color and sort, count and sequentially control processing since the certain quantity of color billets mix into a batch in order to produce desired colorful products. In this paper, a color recognition sensor based on the principle of LEDs energy harvest corresponding actuator has been designed. The derivational voltage due to red, green and blue color
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Crocetti, Gregory R., Philip Hugenholtz, Philip L. Bond, et al. "Identification of Polyphosphate-Accumulating Organisms and Design of 16S rRNA-Directed Probes for Their Detection and Quantitation." Applied and Environmental Microbiology 66, no. 3 (2000): 1175–82. http://dx.doi.org/10.1128/aem.66.3.1175-1182.2000.

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ABSTRACT Laboratory-scale sequencing batch reactors (SBRs) as models for activated sludge processes were used to study enhanced biological phosphorus removal (EBPR) from wastewater. Enrichment for polyphosphate-accumulating organisms (PAOs) was achieved essentially by increasing the phosphorus concentration in the influent to the SBRs. Fluorescence in situ hybridization (FISH) using domain-, division-, and subdivision-level probes was used to assess the proportions of microorganisms in the sludges. The A sludge, a high-performance P-removing sludge containing 15.1% P in the biomass, was compri
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Seid-mohammadi, Abdolmotaleb, Fatemeh Nouri, and Fateme Asadi. "Factors affecting aerobic granule sludge formation in leachate treatment – a systematic review." Reviews on Environmental Health 35, no. 4 (2020): 481–92. http://dx.doi.org/10.1515/reveh-2020-0019.

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AbstractThe biological treatment of landfill leachate due to high concentration of Chemical Oxygen Demand (COD), ammonia, and other toxic compounds is so difficult. One of the leachate treatment technology is the sludge biogranulation, that containing the two aerobic and anaerobic process. The aim of this study was conducted for determining the main factors affecting aerobic granule sludge formation in leachate treatment. In this study, all related papers in international databases were evaluated including Google Scholar, Science Direct, and PubMed, Also Open Access Journal Directory from 1990
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Viallon, Vivian, Mathilde His, Sabina Rinaldi, et al. "A New Pipeline for the Normalization and Pooling of Metabolomics Data." Metabolites 11, no. 9 (2021): 631. http://dx.doi.org/10.3390/metabo11090631.

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Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool meta
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Becker, René, Katharina Weber, Tobias V. Pfeiffer, Jan van Kranendonk, and Klaas Jan Schouten. "A Scalable High-Throughput Deposition and Screening Setup Relevant to Industrial Electrocatalysis." Catalysts 10, no. 10 (2020): 1165. http://dx.doi.org/10.3390/catal10101165.

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The identification and optimization of electrode materials is of great importance in the study of (flow and solid state) batteries, industrial electrocatalysis and analytical devices such as sensors. To identify useful materials from a virtually unbound set of metals, alloys and semiconductors, high-throughput techniques are of vital importance. In this paper we present a high-throughput setup that consists of 64 parallel plate electrochemical flow cells, with the anode and cathode compartments separated by a membrane. These cells can be operated sequentially or batch-wise in parallel, using a
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Dissertations / Theses on the topic "Batch and sequential identification"

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Raillon, Loic. "Experimental identification of physical thermal models for demand response and performance evaluation." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI039.

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La stratégie de l’Union Européenne pour atteindre les objectifs climatiques, est d’augmenter progressivement la part d’énergies renouvelables dans le mix énergétique et d’utiliser l’énergie plus efficacement de la production à la consommation finale. Cela implique de mesurer les performances énergétiques du bâtiment et des systèmes associés, indépendamment des conditions climatiques et de l’usage, pour fournir des solutions efficaces et adaptées de rénovation. Cela implique également de connaître la demande énergétique pour anticiper la production et le stockage d’énergie (mécanismes de demand
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Al-Lagtah, Nasir Mohammed A'mro. "Nutrient biodegradation in sequential batch reactor." Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491979.

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Many proposed and implemented packet classification algorithms trade off JT1emory against lookup-time. Matching algorithms implemented in software cannot keep up with ever-increasing data rates. On the other hand, devices implemented in hardware such as Content Addressable Memory (CAM) have deterministic high lookup rates, but they are expensive in terms of silicon cost and power dissipation. Therefore, a trade-off between hardware and software solutions Le. algorithmic-architectural solutions take advantage of the emerging technologies to provide the required high speed classification without
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Erasin, Bruno Rüdiger. "Evaluation of micropollutants inhibitory to the anaerobic sludge consortia using a batch and a fixed-film sequential batch assay." Thesis, Cranfield University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362588.

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May, Paul. "Improved sequential and batch learning in neural networks using the tangent plane algorithm." Thesis, University of Bolton, 2012. http://ubir.bolton.ac.uk/554/.

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The principal aim of this research is to investigate and develop improved sequential and batch learning algorithms based upon the tangent plane algorithm for artificial neural networks. A secondary aim is to apply the newly developed algorithms to multi-category cancer classification problems in the bio-informatics area, which involves the study of dna or protein sequences, macro-molecular structures, and gene expressions.
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Kuznetsova, Yulia. "Analysis and Evaluation of Sequential Redundancy Identification Algorithms." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-51105.

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This thesis has a goal of analysing different methods used for identifying redundant faults in synchronous sequential circuits as a part of reducing the complexity of ATPG algorithms and minimizing the test sets. It starts with an overview of various faults which occur in digital circuits of different types and moves on to the common testing methods used for fault detection. As it is not possible to perform an exhaustive search in order to detect every possible fault in any given circuit due to time and power consumption issues, there are certain needs for minimizing the set of tests which det
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Lochmüller, Mirka [Verfasser]. "Simultaneous Optimization of Scheduling, Plant and Process Design of Sequential Multi-Purpose Batch Plants / Mirka Lochmüller." München : Verlag Dr. Hut, 2017. http://d-nb.info/1128467429/34.

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Vastola, Justin Timothy. "Sequential experimental design under competing prior knowledge." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47724.

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This research focuses on developing a comprehensive framework for designing and modeling experiments in the presence of multiple sources of competing prior knowledge. In particular, methodology is proposed for process optimization in high-cost, low-resource experimental settings where the underlying response function can be highly non-linear. In the first part of this research, an initial experimental design criteria is proposed for optimization problems by combining multiple, potentially competing, sources of prior information--engineering models, expert opinion, and data from past experime
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Gaszynski, Christopher. "Identification of Wastewater Primary Sludge Composition using Augmented Batch Tests and Mathematical Models." Doctoral thesis, Faculty of Engineering and the Built Environment, 2021. http://hdl.handle.net/11427/33787.

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Over the past 40 years, there has been a continuous progression in generating concrete solutions in the design and operation of wastewater treatment systems. This progression has included the development of various integrated and logical-mathematical glass box models geared towards the recovery of resources. However, the accuracy of these models relies on characterising the influent waste stream accurately, which includes identifying the molecular composition of the biodegradable organics. Municipal wastewater contains an array of organics, and it is crucial to accurately identify the composit
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Flowe, Heather D. "The effect of lineup member similarity on recognition accuracy in simultaneous and sequential lineups." Diss., Connected to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3189995.

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Thesis (Ph. D.)--University of California, San Diego, 2005.<br>Title from first page of PDF file (viewed March 1, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references ( p. 113-116).
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Nyman, Lina. "Estimation of Aerodynamic Parameters in Real-Time : Implementation and Comparison of a Sequential Frequency Domain Method and a Batch Method." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132807.

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The flight testing and evaluation of collected data must be efficient during intensive flight-test programs such as the ones conducted during development of new aircraft. The aim of this thesis has thus been to produce a first version of an aerodynamic derivative estimation program that is to be used during real-time flight tests. The program is to give a first estimate of the aerodynamic derivatives as well as check the quality of the data collected and thus serve as a decision support during tests. The work that has been performed includes processing of data in order to use it in computation
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Books on the topic "Batch and sequential identification"

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Liu, G. P. Stable sequential identification of continuous nonlinear dynamical systems by growing RBF networks. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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Sorini, Susan S. Development and validation of a standard test method for sequential batch extraction of waste with acidic extraction fluid. ASTM Institute for Standards Research, 1993.

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Brendstrup, Bjarne. Nonparametric identification and estimation of multi-unit, sequential, oral, ascending-price auctions with asymmetric bidders. Fondazione Eni Enrico Mattei, 2004.

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Cameron, April A. Cross-racial identification of a caucasian by an aboriginal: using a sequential photo line-up versus a simultaneous line-up. Laurentian University, 2006.

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Chi, Chong-Yung. Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications. Springer, 2006.

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Blind equalization and system identification: Batch processing algorithms, performance and applications. Springer, 2004.

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Chi, Chong-Yung, Chih-Chun Feng, Chii-Horng Chen, and Ching-Yung Chen. Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications (Advanced Textbooks in Control & Signal Processing). Springer, 2006.

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Donkin, Chris, Babette Rae, Andrew Heathcote, and Scott D. Brown. Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.6.

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Absolute identification is a deceptively simple task that has been the focus of empirical investigation and theoretical speculation for more than half a century. Since Miller’s (1956) seminal paper the puzzle of why people are severely limited in their capacity to accurately perform absolute identification has endured. Despite the apparent simplicity of absolute identification, many complicated and robust effects are observed in both response latency and accuracy, including capacity limitations, strong sequential effects and effects of the position of a stimulus within the set. Constructing a
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Kronenberger, William G., and David B. Pisoni. Neurocognitive Functioning in Deaf Children with Cochlear Implants. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190880545.003.0016.

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Cochlear implantation restores some attributes of hearing and spoken language to prelingually deaf children. However, reduced access to auditory and spoken-language experiences for children with cochlear implants can alter the development of downstream neurocognitive functions such as sequential processing and self-regulatory language skills, which are critical building blocks for executive functioning. Executive functioning is the active regulation of cognitive, behavioral, and emotional processes in the service of planned, organized, controlled, goal-driven behavior. This chapter presents fi
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Book chapters on the topic "Batch and sequential identification"

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Weik, Martin H. "sequential batch processing." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17006.

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Rosenof, Howard P., and Asish Ghosh. "Batch and Sequential Processes." In Batch Process Automation. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-6641-6_1.

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Liu, G. P. "Sequential Nonlinear Identification." In Nonlinear Identification and Control. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0345-5_2.

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Bernstein, Daniel J., Jeroen Doumen, Tanja Lange, and Jan-Jaap Oosterwijk. "Faster Batch Forgery Identification." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34931-7_26.

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Liu, Tao, and Furong Gao. "Batch Process Control." In Industrial Process Identification and Control Design. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-977-2_12.

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Fernandez, Marcel, and Miguel Soriano. "Identification Algorithms for Sequential Traitor Tracing." In Progress in Cryptology - INDOCRYPT 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30556-9_32.

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Verde, Cristina, and Jorge Rojas. "Recursive Scheme for Sequential Leaks’ Identification." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55944-5_7.

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Chevalier, Clément, David Ginsbourger, and Xavier Emery. "Corrected Kriging Update Formulae for Batch-Sequential Data Assimilation." In Lecture Notes in Earth System Sciences. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32408-6_29.

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Shin, Sooyeon, Seungyeon Kim, and Taekyoung Kwon. "Identification of Corrupted Cloud Storage in Batch Auditing." In Information and Communication Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24315-3_22.

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Santos, Jorge M., Joaquim Marques de Sá, and Luís A. Alexandre. "Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11550907_15.

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Conference papers on the topic "Batch and sequential identification"

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Renganathan, K. "Estimation based Fault Diagnosis and identification in sequential Industrial batch processes modeled as Hybrid Petri nets." In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT). IEEE, 2017. http://dx.doi.org/10.1109/iccct2.2017.7972249.

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Robescu, Lacramioara Diana, Andreya Dana Bondrea, Iuliana Radosavlevici, and Andrei Stoicescu. "Comparative study on sequential batch reactor and granular sequencing batch reactor." In RECENT ADVANCES ON ENVIRONMENT, CHEMICAL ENGINEERING AND MATERIALS. Author(s), 2018. http://dx.doi.org/10.1063/1.5060701.

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"Subspace identification for batch processes." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786514.

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Golestaneh, Faranak, and Hoay Beng Gooi. "Batch and sequential forecast models for photovoltaic generation." In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7285739.

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Dewasme, Laurent, and Alain Vande Wouwer. "Dynamic modeling of sequential batch cultures of hybridoma cells." In 2016 International Conference on System Science and Engineering (ICSSE). IEEE, 2016. http://dx.doi.org/10.1109/icsse.2016.7551623.

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Silva, Rosemberg, Pierre-Louis Cayrel, and Richard Lindner. "A lattice-based batch identification scheme." In 2011 IEEE Information Theory Workshop (ITW). IEEE, 2011. http://dx.doi.org/10.1109/itw.2011.6089381.

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Lemos, Joao M., Joao Gomes, Bertinho A. Costa, Teresa Mendonca, and Ana Coito. "Batch identification of neuromuscular blockade models." In Automation (MED 2011). IEEE, 2011. http://dx.doi.org/10.1109/med.2011.5983206.

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Chu, Yunfei, and Fengqi You. "Integrated planning, scheduling, and dynamic optimization for sequential batch processes." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7172222.

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Yunfei Chu and Fengqi You. "Integration of scheduling and dynamic optimization for sequential batch processes." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580374.

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Evers, Christine, James R. Hopgood, and Judith Bell. "Blind speech dereverberation using batch and sequential Monte Carlo methods." In 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008. IEEE, 2008. http://dx.doi.org/10.1109/iscas.2008.4542145.

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Reports on the topic "Batch and sequential identification"

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Sorini, S. S. Development and validation of a standard test method for sequential batch extraction of waste with acidic extraction fluid. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10194953.

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