找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)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(fù)制鏈接]
樓主: 搖尾乞憐
41#
發(fā)表于 2025-3-28 16:04:03 | 只看該作者
Optimized Layout: A Genetic Algorithm for Industrial and Business Application that reveal an appreciable robustness and open new scenarios for different applications of the methodology developed in this work, always in the context of optimal management of industrial and commercial spaces.
42#
發(fā)表于 2025-3-28 20:31:46 | 只看該作者
43#
發(fā)表于 2025-3-29 02:52:02 | 只看該作者
44#
發(fā)表于 2025-3-29 04:20:33 | 只看該作者
A Novel Fuzzy Semi-supervised Learning Approach for?the?Classification of?Colorectal Cancer (FSSL-CRlassification models such as Support Vector Machine, Random tree, Linear Regression and others, the prediction performance using this strategy on the dataset exhibited remarkable breakthroughs in enhancing the classifier’s results.
45#
發(fā)表于 2025-3-29 08:06:23 | 只看該作者
46#
發(fā)表于 2025-3-29 15:04:23 | 只看該作者
Identification of?Crown and?Rump in?First-Trimester Ultrasound Images Using Deep Convolutional Neuramodel that implements a pre-trained CNN model, namely, VGG-16. This model is used to classify the segmented images into ‘Good’ and ‘Bad’. Finally, the segmented images are entered into a pre-trained ResNet34 model that identifies the Crown and Rump regions. This can be used by obstetric practitioner
47#
發(fā)表于 2025-3-29 17:24:03 | 只看該作者
48#
發(fā)表于 2025-3-29 20:25:20 | 只看該作者
49#
發(fā)表于 2025-3-30 00:41:55 | 只看該作者
https://doi.org/10.1007/978-3-658-26117-7for a significant increase in classification accuracy if compared with two different DNN approaches based on Dense Networks and Convolutional Neural Networks, furthermore, the GNN has proved to be very efficient with regard to the processing time and memory requirements, thanks to intrinsic paramete
50#
發(fā)表于 2025-3-30 05:48:26 | 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, 2025-10-7 05:28
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
历史| 乐昌市| 蓝田县| 东兴市| 胶南市| 二连浩特市| 罗田县| 安丘市| 光泽县| 吉隆县| 陕西省| 闽清县| 台南市| 车致| 普宁市| 繁昌县| 泰安市| 招远市| 遵义市| 志丹县| 灵宝市| 长海县| 合山市| 林周县| 荔波县| 宾阳县| 禹城市| 青海省| 琼海市| 秦安县| 天津市| 富阳市| 巨野县| 郑州市| 灵川县| 韶山市| 焉耆| 若羌县| 博客| 龙海市| 海南省|