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Titlebook: Handbook on Characterization of Biomass, Biowaste and Related By-products; Ange Nzihou Book 2020 Springer Nature Switzerland AG 2020 Bioma

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發(fā)表于 2025-3-21 18:34:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Handbook on Characterization of Biomass, Biowaste and Related By-products
編輯Ange Nzihou
視頻videohttp://file.papertrans.cn/423/422468/422468.mp4
概述Gathers and compares various characterization methods to help readers quickly understand and choose the most appropriate methods.Includes biological, chemical, thermal and physical methods to provide
圖書封面Titlebook: Handbook on Characterization of Biomass, Biowaste and Related By-products; Ange Nzihou Book 2020 Springer Nature Switzerland AG 2020 Bioma
描述.This book provides authoritative information, techniques and data necessary for the appropriate understanding of biomass and biowaste (understood as contaminated biomass) composition and behaviour while processed in various conditions and technologies. Numerous techniques for characterizing biomass, biowaste and by-product streams exist in literature. However, there lacks a reference book where these techniques are gathered in a single book, although such information is in increasingly high demand. This handbook provides a wealth of characterization methods, protocols, standards, databases and references relevant to various biomass, biowaste materials and by-products. It specifically addresses sampling and preconditioning methods, extraction techniques of elements and molecules, as well as biochemical, mechanical and thermal characterization methods. Furthermore, advanced and innovative methods under development are highlighted. The characterization will allow the analysis, identification and quantification of molecules and species including biomass feedstocks and related conversion products. The characterization will also provide insight into physical, mechanical and thermal prop
出版日期Book 2020
關(guān)鍵詞Biomass, biowaste and by-products; Biomass and Biowaste characterization; Biogas and syngas characteri
版次1
doihttps://doi.org/10.1007/978-3-030-35020-8
isbn_softcover978-3-030-35022-2
isbn_ebook978-3-030-35020-8
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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o search for the right combination of imputation methods for symbolic regression. The role of GP is to select imputation methods for incomplete features and evolve symbolic regression. It incorporates a heterogeneous set of imputation methods as part of the symbolic regression process. The results s
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Augustina Ephraim,Patricia Arlabosse,Ange Nzihou,Doan Pham Minh,Patrick Sharrocknd the recently proposed deep wavelet scattering transform (WST). While many researchers utilised the first two methods to extract features from the EMG and other biomedical signals, the WST has not been appropriately investigated for feature extraction with EMG pattern recognition. This paper exami
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Doan Pham Minh,Philippe Accart,Céline Boachon,Rachel Calvet,Anthony Chesnaud,Sylvie Del Confetto,Jeaes for the instances to make the features independent with each other. Our implementation of this method proves that our method is computationally efficient also, compared to the existing Shapley method.
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Marco J. Castaldi,Yong Chi,Simona Ciuta,Jun Dong,Pinjing He,Nathalie Lyczko,Ange Nzihou,Fei Wangset consisting of 41800 facial images of various individuals labelled with their corresponding perceived Myers Briggs Type Indicator (MBTI) types. PsyCLIP achieved statistically significant results (p<0.01) in predicting all four Myers Briggs dimensions without requiring any training dataset.
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Deepu Gopakumar,Nathalie Lyczko,Hanna J. Maria,Ange Nzihou,Sabu Thomass. Manual algorithm refinement is also examined by choosing refinements based on their well-understood behaviour in reducing a particular error component. The results show that an effective process should exploit both the advantages of targeted improvements identified using a manual process and the
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