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: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T

[復制鏈接]
查看: 36584|回復: 61
樓主
發(fā)表于 2025-3-21 19:02:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Intelligence and Informatics
期刊簡稱Second International
影響因子2023Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor
視頻videohttp://file.papertrans.cn/160/159886/159886.mp4
學科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T
影響因子This book constitutes the refereed proceedings of the Second International Conference on Applied Intelligence and Informatics, AII 2022, held in Reggio Calabria, Italy, during September 1–3, 2022.?.The 38 full papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows:??Emerging Applications of AI and Informatics;? Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security, and Analytics. .
Pindex Conference proceedings 2022
The information of publication is updating

書目名稱Applied Intelligence and Informatics影響因子(影響力)




書目名稱Applied Intelligence and Informatics影響因子(影響力)學科排名




書目名稱Applied Intelligence and Informatics網絡公開度




書目名稱Applied Intelligence and Informatics網絡公開度學科排名




書目名稱Applied Intelligence and Informatics被引頻次




書目名稱Applied Intelligence and Informatics被引頻次學科排名




書目名稱Applied Intelligence and Informatics年度引用




書目名稱Applied Intelligence and Informatics年度引用學科排名




書目名稱Applied Intelligence and Informatics讀者反饋




書目名稱Applied Intelligence and Informatics讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 22:53:14 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:29:31 | 只看該作者
An Indirect Approach to?Forecast Produced Power on?Photovoltaic Plants Under Uneven Shading Condition of a virtual irradiance sensing methodology and a neural network forecasting system. The strength of this approach resides in its capability to support forecasting in presence of distributed shading patterns along the PV plant, without the necessity of external pyranometers or a complex data acqui
地板
發(fā)表于 2025-3-22 05:34:00 | 只看該作者
5#
發(fā)表于 2025-3-22 09:59:01 | 只看該作者
6#
發(fā)表于 2025-3-22 16:28:46 | 只看該作者
Tackling the?Linear Sum Assignment Problem with?Graph Neural Networksunications. In general, solving assignment problems to optimality is computationally infeasible even for contexts of small dimensionality, and so heuristic algorithms are often employed to find near-optimal solutions. The handcrafting of a heuristic usually requires expert-knowledge to exploit the p
7#
發(fā)表于 2025-3-22 20:35:42 | 只看該作者
A Nonparametric Model for?Forecasting Life Expectancy at?Birth Using Gaussian Processs a practical and powerful approach. To plan for economic services for any nation, projections of future Life Expectancy (LE) are required. In our research, we have proposed a model to forecast LE using GPR up to 2040. Initially, we sub-categorized countries into four sections based on income level.
8#
發(fā)表于 2025-3-23 00:38:44 | 只看該作者
9#
發(fā)表于 2025-3-23 03:11:38 | 只看該作者
Explainable Deep Learning for?Alzheimer Disease Classification and?Localisationlities. The accurate diagnosis of Alzheimer’s disease at an early stage is very crucial for patient care and conducting future treatment. Deep learning can help to reach the diagnosis: for this reason we propose a method aimed to distinguish and properly classify four Alzheimer disease’s stages. Two
10#
發(fā)表于 2025-3-23 07:40:06 | 只看該作者
ML-Based Radiomics Analysis for?Breast Cancer Classification in?DCE-MRIor breast lesions characterization is widely used in the clinical practice, physician grading performance is still not optimal, showing a specificity of about 72%. In this work Radiomics was used to analyze a dataset acquired with two different protocols in order to train Machine-Learning algorithms
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-7 10:32
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
巴塘县| 定结县| 册亨县| 巩留县| 中阳县| 洛浦县| 金昌市| 工布江达县| 菏泽市| 富蕴县| 曲沃县| 乐安县| 沙坪坝区| 绥芬河市| 丰城市| 临清市| 正阳县| 惠来县| 大姚县| 榆社县| 环江| 太谷县| 麻阳| 绿春县| 孝昌县| 庆元县| 乌海市| 类乌齐县| 梁河县| 平远县| 突泉县| 旺苍县| 淅川县| 康平县| 蒙山县| 和顺县| 永福县| 兴海县| 乳山市| 昌江| 桦甸市|