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: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

[復(fù)制鏈接]
樓主: 五個(gè)
51#
發(fā)表于 2025-3-30 09:49:43 | 只看該作者
52#
發(fā)表于 2025-3-30 13:54:28 | 只看該作者
Investigations on Deep Learning Pre-trained Model VGG-19 Using Transfer Learning for Remote Sensingcomparing the features of a query image with the features of images in the archives. Extracting the most relevant features from both the query image and the archive images is crucial. Image classification serves as a fundamental step in this process. Features are extracted to enable further processi
53#
發(fā)表于 2025-3-30 18:13:19 | 只看該作者
Complexity Analysis of Legal Documents,ow a specific legal convention. For a legal practitioner, they require documents, mainly judgements, for the proceedings in their client’s case. We evaluated the approach of Named Entity Recognition on a large corpus of legal judgements and found 14 entities, such as case number, name of judge, name
54#
發(fā)表于 2025-3-30 23:35:55 | 只看該作者
55#
發(fā)表于 2025-3-31 02:02:52 | 只看該作者
Review of Classification and Detection for Insects/Pests Using Machine Learning and Deep Learning A get severely damaged. As a result, the country’s economy is at risk. Thus, developing an intelligent system that will help farmers identify insects/pests has become necessary. The aim is to present efforts taken for pest classification and pest detection. This paper aims to find missing links in th
56#
發(fā)表于 2025-3-31 05:30:52 | 只看該作者
Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Stus on social media on different platforms. In the age of AI, it becomes necessary to understand the sentiments from peoples’ opinions, feedback, and interactions. Sentiment analysis has recently drawn a lot of attention. Sentiment analysis has been extensively used and applied in a range of domains,
57#
發(fā)表于 2025-3-31 13:08:16 | 只看該作者
58#
發(fā)表于 2025-3-31 13:52:23 | 只看該作者
59#
發(fā)表于 2025-3-31 20:59:10 | 只看該作者
Leveraging Natural Language Queries for Effective Video Analysis,ion of these two tasks has only recently gained attention, and the challenge of addressing dynamic background changes in videos remains largely unexplored. Additionally, efficiently retrieving relevant videos from vast collections poses a significant hurdle, despite some proposed solutions in the li
60#
發(fā)表于 2025-4-1 00:04:46 | 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, 2026-1-24 23:39
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
炎陵县| 潜江市| 正定县| 武胜县| 安多县| 天柱县| 多伦县| 宁南县| 肇庆市| 澜沧| 临汾市| 墨江| 青龙| 辽宁省| 遂平县| 辽阳市| 南安市| 得荣县| 遵化市| 丰原市| 正蓝旗| 朝阳区| 繁昌县| 巴东县| 金门县| 邹平县| 红安县| 德阳市| 慈利县| 咸宁市| 尚志市| 阿城市| 彭水| 黔南| 琼结县| 水城县| 宝兴县| 罗田县| 海宁市| 通道| 合水县|