Titlebook: Advances and New Trends in Environmental Informatics 2023; Sustainable Digital Volker Wohlgemuth,Dieter Kranzlmüller,Maximilian H Conferen

只看該作者 · 發(fā)表于 2025-3-21 19:41:08

書目名稱Advances and New Trends in Environmental Informatics 2023影響因子(影響力)

書目名稱Advances and New Trends in Environmental Informatics 2023影響因子(影響力)學(xué)科排名

書目名稱Advances and New Trends in Environmental Informatics 2023網(wǎng)絡(luò)公開度

書目名稱Advances and New Trends in Environmental Informatics 2023網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Advances and New Trends in Environmental Informatics 2023被引頻次

書目名稱Advances and New Trends in Environmental Informatics 2023被引頻次學(xué)科排名

書目名稱Advances and New Trends in Environmental Informatics 2023年度引用

書目名稱Advances and New Trends in Environmental Informatics 2023年度引用學(xué)科排名

書目名稱Advances and New Trends in Environmental Informatics 2023讀者反饋

書目名稱Advances and New Trends in Environmental Informatics 2023讀者反饋學(xué)科排名

只看該作者 · 發(fā)表于 2025-3-22 00:02:39

2196-8705 unication technologies with environmental sustainability.Exp.This book is an outcome of the 37th International Conference EnviroInfo 2023, held at the Leibniz Supercomputing Centre (Munich, Germany), organized by the technical committee for Environmental Informatics of the German Informatics Society

只看該作者 · 發(fā)表于 2025-3-22 02:40:43

只看該作者 · 發(fā)表于 2025-3-22 07:58:18

978-3-031-46904-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

只看該作者 · 發(fā)表于 2025-3-22 11:10:51

只看該作者 · 發(fā)表于 2025-3-22 14:12:41

Die ,schen Inseln des Pankreas,built as a project-specific adaptation of the environmental information system (EIS) Guerilla Sensing. We describe the adaptation process step by step to provide a blueprint for easy use of Guerilla Sensing in similar future projects.

只看該作者 · 發(fā)表于 2025-3-22 20:52:02

只看該作者 · 發(fā)表于 2025-3-22 21:30:42

A. Benninghoff,A. Hartmann,T. Hellmanith sensor calibration and data fusion competences and a ML-method research based on low-cost OpenSensorMap. The three ML-pipelines are described, commonalities and differences worked out and the advantages of every technique are led over in an effort of a combined ML-pipeline which could be realise

只看該作者 · 發(fā)表于 2025-3-23 02:59:50

只看該作者 · 發(fā)表于 2025-3-23 07:55:40

R. Bachmann,E. Scharrer,B. Scharrer ecosystems in near future. Radar backscatter e.g. allows insights to crop conditions, soil properties and direct mapping of vegetation growth. Precise SAR pre-processing is a substantial prerequisite to perform machine learning on SAR data, e.g. for early prediction of optimal sowing, harvesting an

		自動(dòng)登錄	找回密碼
密碼			To register

關(guān)于派博傳思			派博傳思旗下網(wǎng)站			友情鏈接
派博傳思介紹	公司地理位置	論文服務(wù)流程	影響因子官網(wǎng)	吾愛論文網(wǎng)	大講堂	北京大學(xué)	Oxford Uni.	Harvard Uni.
發(fā)展歷史沿革	期刊點(diǎn)評(píng)	投稿經(jīng)驗(yàn)總結(jié)	SCIENCEGARD	IMPACTFACTOR	派博系數(shù)	清華大學(xué)	Yale Uni.	Stanford Uni.
\|Archiver\|手機(jī)版\|小黑屋\| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-31 03:49
Copyright © 2001-2015 派博傳思京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved