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: Soft Computing and Signal Processing; Proceedings of 6th I Vustikayala Sivakumar Reddy,Jiacun Wang,K.T.V. Red Conference proceedings 2024 T

[復(fù)制鏈接]
樓主: TEMPO
21#
發(fā)表于 2025-3-25 06:41:05 | 只看該作者
Admission Prediction for Higher Studies in Foreign Universities,rithms such as AdaBoost, CatBoost, support vector machine, and Naive Bayes. Random forest, decision tree, and linear regression algorithms are used for predicting this model. This algorithm is trained and tested for predicting the admission for the student.
22#
發(fā)表于 2025-3-25 08:39:13 | 只看該作者
Detection of Abductors Using Machine Learning Algorithms,le (Sisodia et al., Evaluation of machine learning models for employee churn prediction, .). The AI is used to push the image that is closest to the victim’s facial features. There are various NGO’s and Government initiatives to help with it. This paper tries to implement a new way to help the polic
23#
發(fā)表于 2025-3-25 13:31:06 | 只看該作者
24#
發(fā)表于 2025-3-25 19:12:08 | 只看該作者
Chatbot for Banking Sector Using NLP and ML,nse. The suggested solution would assist in emulating the customer care experience while still attending to and resolving the customer’s inquiries (Aparaj et al., ICAICTE 2013 international conference on advanced information communication technology in engineering, 2013), with the difference that th
25#
發(fā)表于 2025-3-25 22:48:35 | 只看該作者
26#
發(fā)表于 2025-3-26 04:00:44 | 只看該作者
Analyzing Sentiment of Stock Market Data from Twitter Using Machine Learning and Deep Learning Techs, this is done by Natural Language Processing (NLP) techniques. Linear methods like machine learning and nonlinear methods like deep learning models are being compared. For our dataset, the ML model (SVM) performed better than LSTM (Deep Learning Approach).
27#
發(fā)表于 2025-3-26 05:13:22 | 只看該作者
28#
發(fā)表于 2025-3-26 11:41:46 | 只看該作者
29#
發(fā)表于 2025-3-26 15:32:00 | 只看該作者
30#
發(fā)表于 2025-3-26 19:29:33 | 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, 2026-1-29 17:37
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
赫章县| 大足县| 伊宁县| 云阳县| 交口县| 资溪县| 龙游县| 唐山市| 万源市| 石城县| 华容县| 韶山市| 南京市| 渭源县| 新郑市| 子洲县| 苏州市| 勐海县| 双江| 陆良县| 江阴市| 昆明市| 濉溪县| 应用必备| 宜昌市| 天津市| 泰和县| 雅安市| 巴楚县| 武宁县| 兴安县| 镇雄县| 怀安县| 根河市| 洪泽县| 磴口县| 布尔津县| 太仓市| 丰镇市| 深水埗区| 土默特右旗|