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: Intelligent Sustainable Systems; Selected Papers of W Atulya K. Nagar,Dharm Singh Jat,Amit Joshi Conference proceedings 2023 The Editor(s)

[復(fù)制鏈接]
樓主: 和善
31#
發(fā)表于 2025-3-27 00:30:31 | 只看該作者
32#
發(fā)表于 2025-3-27 04:49:46 | 只看該作者
Conference proceedings 2023eration Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
33#
發(fā)表于 2025-3-27 06:18:51 | 只看該作者
34#
發(fā)表于 2025-3-27 12:26:56 | 只看該作者
2367-3370 t Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.978-981-19-7659-9978-981-19-7660-5Series ISSN 2367-3370 Series E-ISSN 2367-3389
35#
發(fā)表于 2025-3-27 16:42:23 | 只看該作者
36#
發(fā)表于 2025-3-27 20:06:47 | 只看該作者
,A Recommendation Model for?Predicting Alzheimer’s Drugs’ Mechanism of?Action,ataset built based on the material from the Alzheimer’s disease drug development pipeline at clinicaltrials.gov and the ALZFORUM therapeutics website. Also, we published our code on a GitHub repository (.) that is available for the public to use.
37#
發(fā)表于 2025-3-28 01:19:03 | 只看該作者
Neural Networks for Predicting Severity of Ovarian Carcinomas,and this study focuses on testing them on gene expression data in ovarian cancers. We found a robust RMSE values for prediction, a reasonable k-fold cross validation, and robust cross grade-stage predictions. This study defines a clear scope of utilizing neural networks in predicting grades and stages in ovarian cancers.
38#
發(fā)表于 2025-3-28 06:08:28 | 只看該作者
39#
發(fā)表于 2025-3-28 09:27:56 | 只看該作者
Conference proceedings 2023tions such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedi
40#
發(fā)表于 2025-3-28 13:25:13 | 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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-7 11:11
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
长岭县| 开封县| 库车县| 商都县| 乌拉特中旗| 鄂尔多斯市| 突泉县| 巴中市| 巴塘县| 寿宁县| 贵南县| 台中县| 雅江县| 左贡县| 青海省| 鹤峰县| 鄂伦春自治旗| 广南县| 大新县| 永平县| 车致| 海晏县| 平乡县| 杨浦区| 泰兴市| 卓资县| 东至县| 临邑县| 那坡县| 白银市| 竹山县| 淮南市| 烟台市| 霍邱县| 金乡县| 中宁县| 平塘县| 江孜县| 绩溪县| 中阳县| 阿克苏市|