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: Emerging Trends in Electrical, Communications, and Information Technologies; Proceedings of ICECI T. Hitendra Sarma,V. Sankar,Rafi Ahamed S

[復制鏈接]
樓主: Odious
21#
發(fā)表于 2025-3-25 04:24:21 | 只看該作者
22#
發(fā)表于 2025-3-25 07:32:36 | 只看該作者
978-981-13-8944-3Springer Nature Singapore Pte Ltd. 2020
23#
發(fā)表于 2025-3-25 14:59:26 | 只看該作者
24#
發(fā)表于 2025-3-25 17:51:47 | 只看該作者
25#
發(fā)表于 2025-3-25 23:35:22 | 只看該作者
26#
發(fā)表于 2025-3-26 01:57:12 | 只看該作者
1876-1100 hapuramu, Andhra Pradesh, India in December 2018. It covers the latest research trends and developments in the areas of Electrical Engineering, Electronic and Communication Engineering, and Computer Science and Information.978-981-13-8944-3978-981-13-8942-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
27#
發(fā)表于 2025-3-26 07:54:14 | 只看該作者
https://doi.org/10.1007/978-1-4302-5906-0lgorithm. The proposed method is tested on 133 images whereas 78 are malignant melanoma skin cancer type and 55 benign ones. This approach allowed detecting two different Pathological cases of skin lesions images which are malignant melanoma and benign nevi. The segmentation achieved 97.75% of accuracy for these two types of skin cancer lesions.
28#
發(fā)表于 2025-3-26 09:31:46 | 只看該作者
https://doi.org/10.1007/978-1-4302-6488-0riendly way, so that any user can upload his/her conventional (crisp) database, define the fuzzy search criteria that he/she is interested in and search at the database flexibly and expressively using concepts as similarity, fuzziness, qualification, and negation.
29#
發(fā)表于 2025-3-26 15:39:04 | 只看該作者
Working With Strings and Numbers,colorizations. We have experimented different deep network architectures with various training algorithms and cost functions to come up with this network where we can clearly see realistic colors for given gray scale image and differentiate the characteristics of generative adversarial network from a traditional convolutional neural network.
30#
發(fā)表于 2025-3-26 19:59:32 | 只看該作者
Objective-C for Absolute Beginnersurvey on adults. Neural Networks model was trained and tested on both the survey data. The results of these algorithms were compared and analysed to find which algorithm is better in which situations.
 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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 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(jīng)驗總結(jié) 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(wǎng)安備110108008328) GMT+8, 2026-1-20 15:13
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 返回頂部 返回列表
修武县| 枞阳县| 社会| 黄骅市| 孟津县| 康马县| 新邵县| 江津市| 周至县| 石景山区| 潮州市| 开平市| 青岛市| 柳林县| 堆龙德庆县| 集贤县| 望都县| 陆河县| 砚山县| 张家港市| 勃利县| 华蓥市| 如皋市| 晴隆县| 壶关县| 鹤峰县| 察雅县| 徐水县| 上饶县| 陇川县| 平陆县| 蓬莱市| 汉寿县| 彭山县| 奎屯市| 丰县| 定兴县| 宣城市| 登封市| 崇阳县| 济源市|