Swarm Intelligence Optimization - 6 Angebote vergleichen
Bester Preis: € 155,57 (vom 05.01.2021)1
Plastics Process Analysis, Instrumentation, and Control
EN NW EB DLISBN: 9781119795773 bzw. 111979577X, in Englisch, John Wiley & Sons Limited, neu, E-Book, elektronischer Download.
Lieferung aus: Russische Föderation, plus shipping.
This book focuses on plastics process analysis, instrumentation for modern manufacturing in the plastics industry. Process analysis is the starting point since plastics processing is different from processing of metals, ceramics, and other materials. Plastics materials show unique behavior in terms of heat transfer, fluid flow, viscoelastic behavior, and a dependence of the previous time, temperature and shear history which determines how the material responds during processing and its end use. Many of the manufacturing processes are continuous or cyclical in nature. The systems are flow systems in which the process variables, such as time, temperature, position, melt and hydraulic pressure, must be controlled to achieve a satisfactory product which is typically specified by critical dimensions and physical properties which vary with the processing conditions. Instrumentation has to be selected so that it survives the harsh manufacturing environment of high pressures, temperatures and shear rates, and yet it has to have a fast response to measure the process dynamics. At many times the measurements have to be in a non-contact mode so as not to disturb the melt or the finished product. Plastics resins are reactive systems. The resins will degrade if the process conditions are not controlled. Analysis of the process allows one to strategize how to minimize degradation and optimize end-use properties. Бизнес-Книги/Отраслевые издания, book, FB2.ZIP,FB3,EPUB,IOS.EPUB,TXT.ZIP,RTF.ZIP,A4.PDF,A6.PDF,MOBI.PRC,TXT.
This book focuses on plastics process analysis, instrumentation for modern manufacturing in the plastics industry. Process analysis is the starting point since plastics processing is different from processing of metals, ceramics, and other materials. Plastics materials show unique behavior in terms of heat transfer, fluid flow, viscoelastic behavior, and a dependence of the previous time, temperature and shear history which determines how the material responds during processing and its end use. Many of the manufacturing processes are continuous or cyclical in nature. The systems are flow systems in which the process variables, such as time, temperature, position, melt and hydraulic pressure, must be controlled to achieve a satisfactory product which is typically specified by critical dimensions and physical properties which vary with the processing conditions. Instrumentation has to be selected so that it survives the harsh manufacturing environment of high pressures, temperatures and shear rates, and yet it has to have a fast response to measure the process dynamics. At many times the measurements have to be in a non-contact mode so as not to disturb the melt or the finished product. Plastics resins are reactive systems. The resins will degrade if the process conditions are not controlled. Analysis of the process allows one to strategize how to minimize degradation and optimize end-use properties. Бизнес-Книги/Отраслевые издания, book, FB2.ZIP,FB3,EPUB,IOS.EPUB,TXT.ZIP,RTF.ZIP,A4.PDF,A6.PDF,MOBI.PRC,TXT.
2
Swarm Intelligence Optimization
EN NW EB DLISBN: 9781119778851 bzw. 1119778859, in Englisch, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock, plus shipping.
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
3
Data Analytics in Bioinformatics
EN NW EB DLISBN: 9781119785606 bzw. 111978560X, in Englisch, John Wiley & Sons Limited, neu, E-Book, elektronischer Download.
Lieferung aus: Russische Föderation, plus shipping.
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more. Компьютеры/Программы, book, FB2.ZIP,FB3,EPUB,IOS.EPUB,TXT.ZIP,RTF.ZIP,A4.PDF,A6.PDF,MOBI.PRC,TXT.
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more. Компьютеры/Программы, book, FB2.ZIP,FB3,EPUB,IOS.EPUB,TXT.ZIP,RTF.ZIP,A4.PDF,A6.PDF,MOBI.PRC,TXT.
6
Data Analytics in Bioinformatics (2021)
~EN NW FE EB DLISBN: 9781119785606 bzw. 111978560X, vermutlich in Englisch, 544 Seiten, Wiley-Scrivener, neu, Erstausgabe, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Download sofort lieferbar.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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