Academic literature on the topic 'Bid Optimizer'

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Dissertations / Theses on the topic "Bid Optimizer"

1

Bhandare, Ashray Sadashiv. "Bio-inspired Algorithms for Evolving the Architecture of Convolutional Neural Networks." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513273210921513.

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2

Correll, David. "Optimized landscape plans for bio-oil production." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1464191.

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3

Schamberger, Stefan. "Shape optimized graph partitioning." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=983282455.

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4

Mazzotti, Matilde <1986&gt. "Physiological studies to optimize algal biomass production in phytoremediation processes." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6934/1/tesi_Matilde_Mazzotti.pdf.

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Nowadays microalgae are studied, and a number of species already mass-cultivated, for their application in many fields: food and feed, chemicals, pharmaceutical, phytoremediation and renewable energy. Phytoremediation, in particular, can become a valid integrated process in many algae biomass production systems. This thesis is focused on the physiological and biochemical effects of different environmental factors, mainly macronutrients, lights and temperature on microalgae. Microalgal species have been selected on the basis of their potential in biotechnologies, and nitrogen occurs in all chapters due to its importance in physiological and applicative fields. There are 5 chapters, ready or in preparation to be submitted, with different specific matters: (i) to measure the kinetic parameters and the nutrient removal efficiencies for a selected and local strain of microalgae; (ii) to study the biochemical pathways of the microalga D. communis in presence of nitrate and ammonium; (iii) to improve the growth and the removal efficiency of a specific green microalga in mixotrophic conditions; (iv) to optimize the productivity of some microalgae with low growth-rate conditions through phytohormones and other biostimulants; and (v) to apply the phyto-removal of ammonium in an effluent from anaerobic digestion. From the results it is possible to understand how a physiological point of view is necessary to provide and optimize already existing biotechnologies and applications with microalgae.
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Mazzotti, Matilde <1986&gt. "Physiological studies to optimize algal biomass production in phytoremediation processes." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6934/.

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Nowadays microalgae are studied, and a number of species already mass-cultivated, for their application in many fields: food and feed, chemicals, pharmaceutical, phytoremediation and renewable energy. Phytoremediation, in particular, can become a valid integrated process in many algae biomass production systems. This thesis is focused on the physiological and biochemical effects of different environmental factors, mainly macronutrients, lights and temperature on microalgae. Microalgal species have been selected on the basis of their potential in biotechnologies, and nitrogen occurs in all chapters due to its importance in physiological and applicative fields. There are 5 chapters, ready or in preparation to be submitted, with different specific matters: (i) to measure the kinetic parameters and the nutrient removal efficiencies for a selected and local strain of microalgae; (ii) to study the biochemical pathways of the microalga D. communis in presence of nitrate and ammonium; (iii) to improve the growth and the removal efficiency of a specific green microalga in mixotrophic conditions; (iv) to optimize the productivity of some microalgae with low growth-rate conditions through phytohormones and other biostimulants; and (v) to apply the phyto-removal of ammonium in an effluent from anaerobic digestion. From the results it is possible to understand how a physiological point of view is necessary to provide and optimize already existing biotechnologies and applications with microalgae.
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6

Vanden, Berg Andrew M. "Optimization-simulation framework to optimize hospital bed allocation in academic medical centers." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120223.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 99-100).<br>Congestion, overcrowding, and increasing patient wait times are major challenges that many large, academic centers currently face. To address these challenges, hospitals must effectively utilize available beds through proper strategic bed allocation and robust operational day-to-day bed assignment policies. Since patient daily demand for beds is highly variable, it is frequent that the physical capacity allocated to a given clinical service is not sufficient to accommodate all of the patients who belong to that service. This situation could lead to extensive wait time of patients in various locations in the hospital (e.g., the emergency department), as well as clinically and operationally undesirable misplacements of patients in hospital floors/beds that are managed by other clinical services than the ones to which the patients belong. In this thesis, we develop an optimization-simulation framework to optimize the bed allocation at Mass General Hospital. Detailed, data-driven simulation suggests that the newly proposed bed allocation would lead to significant reduction in patient intra-day wait time in the emergency department and other hospital locations, as well as a major reduction in the misplacements of patients in the Medicine service, which is the largest service in the hospital. We employ a two-pronged approach. First, we developed a detailed simulation setting of the entire hospital that could be used to assess the effectiveness of day-to-day operational bed assignment policies given a specific bed allocation. However, the simulation does not allow tractable optimization that seeks to find the best bed allocation among all possible allocations. This motivates the development of a network-flow/network design inspired mixed integer program that approximates the operational performance of bed allocations and allows us to effectively search for approximately the best allocation. The mixed integer program can be solved via a scenario sampling approach to provide candidate bed allocations. These are then tested and evaluated via the simulation setting. These tools facilitate expert discussions on how to modify the existing bed allocation at MGH to improve the day-to-day performance of the bed assignment process.<br>by Andrew M. Vanden Berg.<br>S.M.
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7

Thelen, Andrea. "Optimized surface extraction from holographic data." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980418798.

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8

Bär, Werner. "Optimized delivery of intensity modulated radiotherapy." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965610934.

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9

Abbruzzese, Vito. "Using bio-manipulation to optimise nutrient management within intensive farm systems." Thesis, Lancaster University, 2017. http://eprints.lancs.ac.uk/86607/.

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Optimising the use of organic amendments, such as livestock slurry, on commercial farms represents one route through which the reliance of agricultural production on inorganic fertiliser use might be reduced. For economic, environmental and geopolitical reasons, decoupling future agricultural production from inorganic fertiliser use is desirable, particularly if increases in future demand for food at global scale are to be met sustainably. However, there remains substantial uncertainty surrounding the impacts of organic amendments on many of the key physico-chemical and microbial properties of agricultural soils. This uncertainty reduces the likelihood that land owners and land managers will adjust farming practices in order to deliver more widespread use of organic amendments to support production. In this context, the research reported in this thesis sought to understand how the management of livestock slurry within intensive grassland systems can be optimised to support production. The thesis had a particular focus on understanding how the soil microbial community mediates the input of livestock slurry, in terms of the influence of this community on the cycling and crop-availability of macronutrients within soil. The thesis first examined the impact of a biological slurry additive, SlurryBugs, on the nutrient content of livestock slurry during storage, finding positive effects of the additive particularly with respect to the total phosphorus (P), where an increase by 27% was observed compared to the control slurry treatment, and the total solids contents of slurry during storage. It was hypothesised that the SB additive may have altered the emission of phosphine (PH3) from slurry during storage. Subsequently, the impacts of slurry application, both with and without the biological additive, on soil organic matter (SOM), as well as on the nitrogen (N) and P content of grassland soils were examined, in comparison to inorganic fertiliser and control treatments. Positive effects following slurry application were observed, spanning SOM, Olsen P, mineral N and soil pH conditions. Finally, the impacts of applying slurry alongside a range of carbon (C) substrates of different quality (glucose, glucose-6-phosphate (G6P), and cellulose) to a grassland soil were examined, in terms of the partitioning of C within soil as mediated by the microbial community and in terms of changes in the structure and biomass of the soil microbial community. The results revealed an increase in the soil microbial biomass, as well as a decrease in the cumulative respiration, following the application of both slurry types, alongside a carbohydrate, compared to the treatment with the carbohydrate alone, likely due to a microbial metabolic mechanism known as preferential substrate utilisation. In addition, a bacterial predominance within the soil microbial community was observed in all treatments, with increasing dominance of fungi toward the end of the 49-day incubations. This thesis also revealed that the quality of C substrates represented a major factor affecting both the extent of mineralisation and of incorporation of externally-derived C into microbial biomass. The application of 14C-glucose or 14C-G6P to soil resulted in a significantly greater incorporation of 14C into microbial biomass by 68 or 57%, respectively, compared to 41% following the 14C-cellulose application. Further, the addition of US slurry alongside 14C-glucose generated a significantly greater extent of mineralisation by 30%, compared to the treatments with AS slurry or with only 14C-glucose added with 19 and 21%, respectively. Taken together, the data reported within this thesis have potentially important implications for the way in which livestock slurry is managed as a nutrient resource on commercial farms, as well as for broader environmental concerns including the acidification of agricultural soils and the impact of agricultural soils on the global C cycle.
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10

陳從輝 and Chung-fai Chan. "MOS parameter extraction globally optimized with genetic algorithm." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31212785.

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