找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Data Science in Societal Applications; Concepts and Implica Siddharth Swarup Rautaray,Manjusha Pandey,Nhu Gia Book 2022 The Editor(s) (if

[复制链接]
楼主: 桌前不可入
发表于 2025-3-23 11:55:00 | 显示全部楼层
发表于 2025-3-23 17:19:45 | 显示全部楼层
https://doi.org/10.1007/978-3-031-50495-2th decision-makers and planners. While QGIS Plug-in is coupled with Quantum GIS to invoke a Cloud GIS environment, the current model has relied on Quantum GIS for geospatial database development. The model‘s assumptions have been tested on a subset of the Odisha coast, specifically the Baleswar, Bhadrak, Kendrapara, and Jagatsinghpur coasts.
发表于 2025-3-23 20:04:19 | 显示全部楼层
Cloud GIS Model for Coastal Geospatial Big Data Analytics,th decision-makers and planners. While QGIS Plug-in is coupled with Quantum GIS to invoke a Cloud GIS environment, the current model has relied on Quantum GIS for geospatial database development. The model‘s assumptions have been tested on a subset of the Odisha coast, specifically the Baleswar, Bhadrak, Kendrapara, and Jagatsinghpur coasts.
发表于 2025-3-23 23:00:54 | 显示全部楼层
发表于 2025-3-24 06:23:43 | 显示全部楼层
Kochen Helfer: An AI-Based Cooking Assistant, anyone to guide them. Kochen Helfer, an AI-based cooking assistant, is one such product that will be helpful to reach the quality of food desired through proper ımage processing, classification and recommendation. Kochen Helfer is a proposed application of Deep Learning that can be used by novices in the domain of cooking.
发表于 2025-3-24 09:55:32 | 显示全部楼层
Book 2022le approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating
发表于 2025-3-24 14:28:18 | 显示全部楼层
发表于 2025-3-24 16:45:04 | 显示全部楼层
Isabelle Bichindaritz,Lakhmi C. Jain inspired systems in this area by charting the insights and inspiration that have come to build our current state-of-the-art models and architecture. This work also presents a summary of similarities and contrasts of various such models to conclude on this evolution of deep learning in NLP.
发表于 2025-3-24 20:38:57 | 显示全部楼层
发表于 2025-3-25 01:39:10 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-3 04:47
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表