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: Artificial Intelligence for Sustainability; Innovations in Busin Thomas Walker,Stefan Wendt,Tyler Schwartz Book 2024 The Editor(s) (if appl

[復(fù)制鏈接]
樓主: energy
41#
發(fā)表于 2025-3-28 15:11:52 | 只看該作者
Artificial Intelligence and the Global Automotive Industryinterplay between commercial, social, risk, infrastructure, and regulatory mechanisms with various impacts on the industry’s stakeholders. This study predicts that the most likely sustainable scenario for the AV industry is that it will be driven by: (1) AI’s pulsed laser LiDAR (Light Detection and
42#
發(fā)表于 2025-3-28 20:03:47 | 只看該作者
The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economyion, and recycling processes. Operations could be optimized by utilizing underutilized areas and peripheral locations for human activities, as well as taking advantage of nighttime operations during human rest periods. This article outlines how nighttime operations offer various advantages, includin
43#
發(fā)表于 2025-3-28 23:30:10 | 只看該作者
Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a Moreal, legal, and reputational damage for companies. A case study of NearMap, a company that provides high-resolution aerial imagery, and the steps that NearMap has taken to green the bounded AI that it has implemented in its operations, is used in the chapter to illustrate this argument.
44#
發(fā)表于 2025-3-29 06:57:06 | 只看該作者
45#
發(fā)表于 2025-3-29 08:25:06 | 只看該作者
46#
發(fā)表于 2025-3-29 14:35:12 | 只看該作者
Analysis of Smart Meter Data for Energy Waste Management AI enhances user privacy, adapts to changing usage patterns, and improves system transparency thereby facilitating a smoother transition to energy efficiency. We illustrate how privacy-preserving techniques can be used to protect user data while preserving the utility of AI models. The chapter furt
47#
發(fā)表于 2025-3-29 17:54:03 | 只看該作者
Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropyt reduces efficient coordination between POs is the insufficient knowledge and visibility of the SDGs-aligned activities conducted by other agents. To address this bottleneck, we propose an AI approach using Natural Language Processing (NLP) for mapping SDG coverage by POs in the Swiss ecosystem. Th
 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, 2025-10-29 07:36
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
齐齐哈尔市| 蓬莱市| 岳阳市| 枞阳县| 宁蒗| 兴宁市| 浦城县| 昌图县| 临沭县| 元氏县| 霍州市| 浮山县| 江西省| 夏河县| 九江县| 剑川县| 曲阜市| 集安市| 那坡县| 凤山市| 民丰县| 黄冈市| 景东| 东宁县| 洱源县| 天水市| 大埔区| 象山县| 万源市| 太谷县| 兖州市| 南汇区| 荆门市| 利川市| 松溪县| 玉田县| 高邮市| 无为县| 江陵县| 上杭县| 乌拉特中旗|