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: Proceedings of Fifth Doctoral Symposium on Computational Intelligence; DoSCI 2024, Volume 3 Abhishek Swaroop,Vineet Kansal,Aboul Ella Hassa

[復(fù)制鏈接]
21#
發(fā)表于 2025-3-25 05:55:12 | 只看該作者
,Toxicity Detection and?Classification in?Arabic Text,It achieved high .1-scores, indicating that it is effective in spite of all challenges presented by the corpus. From this study we conclude that natural language processing has proven its efficacy in identifying toxic Arabic language content. Furthermore, it paves the way to develop systems that detoxify Arabic text.
22#
發(fā)表于 2025-3-25 10:53:49 | 只看該作者
23#
發(fā)表于 2025-3-25 12:42:12 | 只看該作者
24#
發(fā)表于 2025-3-25 17:56:24 | 只看該作者
A Critical Assessment of Task Scheduling Algorithms in Cloud Computing: A Comparative Approach,e, the CloudSim 3.0.3 toolbox is used to simulate these methods under varying workload conditions. Additionally, a collection of metrics is computed, and these measures are used to compare and evaluate the aforementioned algorithms.
25#
發(fā)表于 2025-3-25 21:51:09 | 只看該作者
EnviroWatch: A Comprehensive Environmental Monitoring Web Frame and Cleanup Coordination System Using CNN,er to identify and classify garbage. Government bodies and NGOs can access the platform to gather crucial data and coordinate cleanup initiatives, fostering a collaborative effort toward environmental well-being.
26#
發(fā)表于 2025-3-26 02:55:16 | 只看該作者
27#
發(fā)表于 2025-3-26 06:06:32 | 只看該作者
Enhancing Suspect Identification: Automated Composite Sketch Generation and Recognition,ques use computer vision algorithms—deep learning models to accurately capture facial features and compare them to a database of known faces. This review examines the latest techniques for creating and recognizing facial images, investigating their applications, challenges, and potential future developments.
28#
發(fā)表于 2025-3-26 09:33:35 | 只看該作者
29#
發(fā)表于 2025-3-26 13:36:22 | 只看該作者
30#
發(fā)表于 2025-3-26 19:16:05 | 只看該作者
,Machine Learning-Based Comprehensive Framework for?Stock Prediction,in market size forecasting. Through preprocessing and feature extraction, the LSTM model captures a series of economic time series. This study focuses on hyperparameter optimization and external parameters, which significantly improve the accuracy of the model.
 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-22 21:34
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
凤阳县| 西充县| 建瓯市| 田东县| 确山县| 龙门县| 屏边| 建昌县| 平舆县| 元朗区| 深水埗区| 长泰县| 华坪县| 六枝特区| 宁阳县| 湟中县| 南澳县| 轮台县| 信丰县| 宁陕县| 乐清市| 湘潭市| 大城县| 老河口市| 土默特左旗| 琼中| 中方县| 临泽县| 永修县| 佛冈县| 揭东县| 九江县| 深水埗区| 阜康市| 普兰县| 隆德县| 垣曲县| 陈巴尔虎旗| 柞水县| 沂水县| 甘南县|