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 Data Engineering and Automated Learning – IDEAL 2017; 18th International C Hujun Yin,Yang Gao,Minling Zhang Conference proceedi

[復(fù)制鏈接]
樓主: Localized
51#
發(fā)表于 2025-3-30 09:08:21 | 只看該作者
Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System,nsors. Combining these data with current data mining and machine learning techniques yields interesting applications which were not conceivable in the past. One of the most interesting applications is user activities recognition accomplished by analysing information from an accelerometer. In this wo
52#
發(fā)表于 2025-3-30 15:24:28 | 只看該作者
A Community Detection Algorithm Based on Jaccard Similarity Label Propagation,s. In order to solve the problem, this paper proposes a novel community detection algorithm based on Jaccard similarity label propagation. Firstly, the Jaccard similarity is used to measure nodes importance. Then, the importance of nodes is utilized to reduce the randomness in label selection. Final
53#
發(fā)表于 2025-3-30 18:33:55 | 只看該作者
54#
發(fā)表于 2025-3-30 23:51:15 | 只看該作者
Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Des. In this study we have proposed an interval-valued load forecasting model called SOA-FD-MLSSVM. The proposed model consists of three components, the Human Body Amenity(HBA) indicator is introduced as the input of meteorological factors, Fresh Degree(FD) function is brought into the forecast method
55#
發(fā)表于 2025-3-31 04:42:38 | 只看該作者
56#
發(fā)表于 2025-3-31 05:39:52 | 只看該作者
,Optimization of Grover’s Algorithm Simulation Based on Cloud Computing,rom laboratory. Therefore, quantum simulation has become the main assistant method of verifying quantum algorithms. Grover’s quantum search algorithm can speed up many classical algorithms that use search heuristics. In this work, a high performance Grover algorithm simulation is proposed combining
57#
發(fā)表于 2025-3-31 10:02:09 | 只看該作者
Cross-Media Retrieval of Tourism Big Data Based on Deep Features and Topic Semantics,thod of attraction texts and images based on the text deep representation model and convolution neural network. According to the cross-media characteristics of tourism big data, we propose a semantic learning and analysis method for cross-media data, and correlate tourism texts with images based on
58#
發(fā)表于 2025-3-31 17:11:38 | 只看該作者
59#
發(fā)表于 2025-3-31 21:17:21 | 只看該作者
60#
發(fā)表于 2025-4-1 01:32:16 | 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) 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, 2026-1-24 16:29
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
汉中市| 陇西县| 临桂县| 彭水| 波密县| 邵武市| 六安市| 贵南县| 礼泉县| 库尔勒市| 河南省| 阳西县| 米易县| 三原县| 巴楚县| 仁布县| 浦城县| 区。| 琼结县| 原阳县| 治县。| 常德市| 铜陵市| 新和县| 临江市| 繁昌县| 浙江省| 华池县| 巴林右旗| 巴里| 龙门县| 黑河市| 巴楚县| 花莲县| 枣阳市| 屏边| 九江市| 阿克苏市| 合川市| 玛多县| 边坝县|