找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Integrative Biological Control; Ecostacking for Enha Yulin Gao,Heikki M. T. Hokkanen,Ingeborg Menzler-H Book 2020 Springer Nature Switzerla

[復(fù)制鏈接]
樓主: 聯(lián)系
21#
發(fā)表于 2025-3-25 05:16:17 | 只看該作者
22#
發(fā)表于 2025-3-25 09:55:11 | 只看該作者
ewable energies) are analysed for assessment and quantification where data is available. The carbon footprint calculator includes the derived and influential activities that should be included in the application for the approval of urban planning instruments, within the ordinary or simplified strate
23#
發(fā)表于 2025-3-25 14:33:57 | 只看該作者
24#
發(fā)表于 2025-3-25 19:45:33 | 只看該作者
Adam Fl?hr,Johan A. Stenberg,Paul A. Eganarine-sonar-monitoring levels of vigilance, as said by Jon Kabot-Zinn (1990, p. 23), “it would be incorrect to think of meditation as a passive process; it takes a good deal of energy and effort to regulate your attention and to remain genuinely calm and nonreactive.”
25#
發(fā)表于 2025-3-25 21:52:16 | 只看該作者
26#
發(fā)表于 2025-3-26 03:03:34 | 只看該作者
27#
發(fā)表于 2025-3-26 08:10:26 | 只看該作者
28#
發(fā)表于 2025-3-26 10:59:32 | 只看該作者
Pingyang Zhu,Zhongxian Lu,Guihua Chen,K. L. Heongsuch as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.?.What You Will Learn.Build
29#
發(fā)表于 2025-3-26 14:05:19 | 只看該作者
Chengyun Li,Jing Yang,Xiahong He,Shusheng Zhu,Youyong Zhusuch as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.?.What You Will Learn.Build
30#
發(fā)表于 2025-3-26 19:32:20 | 只看該作者
Ouyang Fang,Men XingYuan,Ge Fengsuch as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.?.What You Will Learn.Build
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-27 16:19
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
昌江| 惠水县| 筠连县| 泗阳县| 米林县| 吉首市| 灵宝市| 荔浦县| 裕民县| 澄城县| 东宁县| 嘉义县| 于都县| 山丹县| 沭阳县| 麻城市| 得荣县| 奈曼旗| 宁武县| 元阳县| 乐都县| 遵化市| 将乐县| 布拖县| 上饶市| 大理市| 米林县| 雷山县| 青海省| 永顺县| 沈丘县| 双牌县| 新密市| 新安县| 普兰店市| 宿州市| 江门市| 广汉市| 石渠县| 全南县| 平山县|