找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering; The Second Serbian I Nenad Filipovi? Confer

[復(fù)制鏈接]
樓主: BOUT
11#
發(fā)表于 2025-3-23 10:52:10 | 只看該作者
2367-3370 indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.978-3-031-60839-1978-3-031-60840-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
12#
發(fā)表于 2025-3-23 14:03:57 | 只看該作者
Implementation of Hybrid ANN-GWO Algorithm for Estimation of the Fundamental Period of RC-Frame Strhod. This approach provided even more reliable solutions than the robust second-order procedure based on single ML models. A total of 2178 samples of infilled RC frames were collected from available literature, where the number of storeys (.), number of spans (.), length of spans (.), opening percen
13#
發(fā)表于 2025-3-23 21:44:36 | 只看該作者
14#
發(fā)表于 2025-3-23 22:21:42 | 只看該作者
15#
發(fā)表于 2025-3-24 02:22:36 | 只看該作者
16#
發(fā)表于 2025-3-24 09:58:57 | 只看該作者
17#
發(fā)表于 2025-3-24 14:21:15 | 只看該作者
Application of Ensemble Machine Learning for Classification Problems on Very Small Datasets,were trained with different combinations of training and test data to improve the prediction accuracy over the use of a single random forest model. Final ensemble achieved a prediction accuracy of 71.3% which was an immense improvement over the 36% prediction accuracy of a single random forest class
18#
發(fā)表于 2025-3-24 18:22:02 | 只看該作者
An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronation of the artery from the rest of the image. The preprocessed image is then segmented using Otsu’s thresholding method, which results in a binarized image. This image has left coronary artery successfully segmented, but unfortunately a lot of non-vessel segments have been wrongly labeled as well.
19#
發(fā)表于 2025-3-24 20:38:10 | 只看該作者
20#
發(fā)表于 2025-3-25 00:29:15 | 只看該作者
 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(ài)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.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-21 23:47
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
谢通门县| 固安县| 栾川县| 容城县| 明水县| 桐柏县| 古丈县| 延津县| 泗阳县| 永和县| 象州县| 修水县| 微博| 龙门县| 鱼台县| 凉城县| 深州市| 郴州市| 德清县| 白银市| 平利县| 醴陵市| 加查县| 德清县| 电白县| 新乡县| 广饶县| 亚东县| 乌拉特前旗| 朝阳县| 汕尾市| 商河县| 海口市| 聂荣县| 桃园县| 左贡县| 伽师县| 铜山县| 黑山县| 宁津县| 上饶市|