Titlebook: Multi-hop Routing in Wireless Sensor Networks; An Overview, Taxonom Shalli Rani,Syed Hassan Ahmed Book 2016 The Author(s) 2016 Energy Effic

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Multi-hop Routing in Wireless Sensor Networks978-981-287-730-7Series ISSN 2191-8112 Series E-ISSN 2191-8120

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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/n/image/640078.jpg

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Book 2016classifications of routing protocols and lists the pros and cons of each category, going beyond the conceptual overview of routing classifications offered in other books. Recently many researchers have proposed numerous multi-hop routing protocols and thereby created a need for a book that provides

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Book 2016ithmic approach to the research on multi-hop routing protocols. The book covers measurements, experiences and lessons learned from the implementation of multi-hop communication prototypes. Furthermore, it describes future research challenges and as such serves as a useful guide for students and researchers alike. ??.

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2191-8112 ts, experiences and lessons learned from the implementation of multi-hop communication prototypes. Furthermore, it describes future research challenges and as such serves as a useful guide for students and researchers alike. ??.978-981-287-729-1978-981-287-730-7Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Modular Construction of Large Non-Immune Human Antibody Phage-Display Libraries from Variable Heavy and Light Chain Gene Cassettes modular construction of large non-immune human antibody phage-display libraries built on variable gene cassettes from heavy chain and light chain repertoires (Vκ- and Vλ-light can be made into independent cassettes). We describe utility of such libraries in antibody discovery and optimization through chain shuffling.

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Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview,a way that its null distribution is better approximated by the reference . distribution. We also investigate the use of bias corrections. They are used to reduce systematic errors in the point estimation process. Finally, we motivate the use of a data resampling method: the bootstrap.