دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش سی و هفتم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

این نوشته حاوی بخشی از مجموعه کامل مقالات است. برای دریافت سایر بخش ها، به لینک زیر مراجعه نمایید:

دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله Blood volume-monitored regulation of ultrafiltration in fluid-overloaded hemodialysis patients: study protocol for a randomized controlled trial
نوع مقاله مقاله ژورنال
نویسندگان Manfred Hecking, Marlies Antlanger, Wolfgang Winnicki, Thomas Reiter, Johannes Werzowa, Michael Haidinger, Thomas Weichhart, Hans-Dietrich Polaschegg, Peter Josten, Isabella Exner, Katharina Lorenz-Turnheim, Manfred Eigner, Gernot Paul, Renate Klauser-Braun, Walter H Hörl, Gere Sunder-Plassmann, Marcus D Säemann
چکیده / توضیح Data generated with the body composition monitor (BCM, Fresenius) show, based on bioimpedance technology, that chronic fluid overload in hemodialysis patients is associated with poor survival. However, removing excess fluid by lowering dry weight can be accompanied by intradialytic and postdialytic complications. Here, we aim at testing the hypothesis that, in comparison to conventional hemodialysis, blood volume-monitored regulation of ultrafiltration and dialysate conductivity (UCR) and/or regulation of ultrafiltration and temperature (UTR) will decrease complications when ultrafiltration volumes are systematically increased in fluid-overloaded hemodialysis patients.
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عنوان اصلی مقاله Determining similarity in histological images using graph-theoretic description and matching methods for content-based image retrieval in medical diagnostics
نوع مقاله مقاله ژورنال
نویسندگان Harshita Sharma, Alexander Alekseychuk, Peter Leskovsky, Olaf Hellwich, RS Anand, Norman Zerbe, Peter Hufnagl
چکیده / توضیح Computer-based analysis of digitalized histological images has been gaining increasing attention, due to their extensive use in research and routine practice. The article aims to contribute towards the description and retrieval of histological images by employing a structural method using graphs. Due to their expressive ability, graphs are considered as a powerful and versatile representation formalism and have obtained a growing consideration especially by the image processing and computer vision community.
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عنوان اصلی مقاله Alternative ways of representing Zapotec and Cuicatec folk classification of birds: a multidimensional model and its implications for culturally-informed conservation in Oaxaca, México
نوع مقاله مقاله ژورنال
نویسندگان Graciela Alcántara-Salinas, Roy F Ellen, Leopoldo Valiñas-Coalla, Javier Caballero, Arturo Argueta-Villamar
چکیده / توضیح We report on a comparative ethno-ornithological study of Zapotec and Cuicatec communities in Northern Oaxaca, Mexico that provided a challenge to some existing descriptions of folk classification. Our default model was the taxonomic system of ranks developed by Brent Berlin.
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عنوان اصلی مقاله Classification of images of wheat, ryegrass and brome grass species at early growth stages using principal component analysis
نوع مقاله مقاله ژورنال
نویسندگان Mahmood R Golzarian, Ross A Frick
چکیده / توضیح Wheat is one of the most important crops in Australia, and the identification of young plants is an important step towards developing an automated system for monitoring crop establishment and also for differentiating crop from weeds. In this paper, a framework to differentiate early narrow-leaf wheat from two common weeds from their digital images is developed. A combination of colour, texture and shape features is used. These features are reduced to three descriptors using Principal Component Analysis. The three components provide an effective and significant means for distinguishing the three grasses. Further analysis enables threshold levels to be set for the discrimination of the plant species. The PCA model was evaluated on an independent data set of plants and the results show accuracy of 88% and 85% in the differentiation of ryegrass and brome grass from wheat, respectively. The outcomes of this study can be integrated into new knowledge in developing computer vision systems used in automated weed management.
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عنوان اصلی مقاله Multiple-locus variable number of tandem repeat analysis (MLVA) of Irish verocytotoxigenic Escherichia coli O157 from feedlot cattle: uncovering strain dissemination routes
نوع مقاله مقاله ژورنال
نویسندگان Mary Murphy, Donal Minihan, James F Buckley, Micheál O'Mahony, Paul Whyte, Séamus Fanning
چکیده / توضیح The identification of the routes of dissemination of Escherichia coli (E. coli) O157 through a cohort of cattle is a critical step to control this pathogen at farm level. The aim of this study was to identify potential routes of dissemination of E. coli O157 using Multiple-Locus Variable number of tandem repeat Analysis (MLVA).
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عنوان اصلی مقاله Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning
نوع مقاله مقاله ژورنال
نویسندگان Florian Stieler, Hui Yan, Frank Lohr, Frederik Wenz, Fang-Fang Yin
چکیده / توضیح Parameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT) is mainly conducted by human planners in order to create a plan with the desired dose distribution. To automate this tedious process, an artificial intelligence (AI) guided system was developed and examined.
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عنوان اصلی مقاله Wndchrm – an open source utility for biological image analysis
نوع مقاله مقاله ژورنال
نویسندگان Lior Shamir, Nikita Orlov, D Mark Eckley, Tomasz Macura, Josiah Johnston, Ilya G Goldberg
چکیده / توضیح Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated experimenting and data acquisition has been developing rapidly in the past years, automated image analysis often introduces a bottleneck in high content screening.
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عنوان اصلی مقاله Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery
نوع مقاله مقاله ژورنال
نویسندگان William J Bosl
چکیده / توضیح Expert knowledge in journal articles is an important source of data for reconstructing biological pathways and creating new hypotheses. An important need for medical research is to integrate this data with high throughput sources to build useful models that span several scales. Researchers traditionally use mental models of pathways to integrate information and development new hypotheses. Unfortunately, the amount of information is often overwhelming and these are inadequate for predicting the dynamic response of complex pathways. Hierarchical computational models that allow exploration of semi-quantitative dynamics are useful systems biology tools for theoreticians, experimentalists and clinicians and may provide a means for cross-communication.
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عنوان اصلی مقاله The crosstalk between EGF, IGF, and Insulin cell signaling pathways - computational and experimental analysis
نوع مقاله مقاله ژورنال
نویسندگان Rafal Zielinski, Pawel F Przytycki, Jie Zheng, David Zhang, Teresa M Przytycka, Jacek Capala
چکیده / توضیح Cellular response to external stimuli requires propagation of corresponding signals through molecular signaling pathways. However, signaling pathways are not isolated information highways, but rather interact in a number of ways forming sophisticated signaling networks. Since defects in signaling pathways are associated with many serious diseases, understanding of the crosstalk between them is fundamental for designing molecularly targeted therapy. Unfortunately, we still lack technology that would allow high throughput detailed measurement of activity of individual signaling molecules and their interactions. This necessitates developing methods to prioritize selection of the molecules such that measuring their activity would be most informative for understanding the crosstalk. Furthermore, absence of the reaction coefficients necessary for detailed modeling of signal propagation raises the question whether simple parameter-free models could provide useful information about such pathways.
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عنوان اصلی مقاله Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
نوع مقاله مقاله ژورنال
نویسندگان Dominik M Wittmann, Jan Krumsiek, Julio Saez-Rodriguez, Douglas A Lauffenburger, Steffen Klamt, Fabian J Theis
چکیده / توضیح The understanding of regulatory and signaling networks has long been a core objective in Systems Biology. Knowledge about these networks is mainly of qualitative nature, which allows the construction of Boolean models, where the state of a component is either 'off' or 'on'. While often able to capture the essential behavior of a network, these models can never reproduce detailed time courses of concentration levels.
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