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 Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks; Javaid A. Sheikh,Taimoor Khan,Binod Kumar Kan

[復(fù)制鏈接]
樓主: 海市蜃樓
21#
發(fā)表于 2025-3-25 03:33:11 | 只看該作者
22#
發(fā)表于 2025-3-25 09:57:43 | 只看該作者
23#
發(fā)表于 2025-3-25 14:18:02 | 只看該作者
Antenna Designs for Development of Cognitive Radio Systems,y commercial bands. Hence, spectrum scarcity has been a major challenge to be addressed. The cognitive radio addresses this issue in an efficient manner. This chapter also presents materials used for fabrication and simulation technologies.
24#
發(fā)表于 2025-3-25 17:26:07 | 只看該作者
Recent Developments of Network Monitoring Systems and Challenges,ring, and privacy preservation are also addressed. By examining the advancements and challenges in network monitoring systems, this paper aims to provide a comprehensive understanding of the current state of the field and identify future research directions.
25#
發(fā)表于 2025-3-25 23:43:22 | 只看該作者
An Insight into Content-Based Image Retrieval Techniques, Datasets, and Evaluation Metrics,atasets, evaluation metrics, and pros and cons of different CBIR techniques is presented. The paper concludes by discussing current research challenges and future opportunities to improve and apply CBIR to various fields.
26#
發(fā)表于 2025-3-26 02:51:25 | 只看該作者
Data Collection and Analysis: The Foundation of Evidence-Based Research in Various Disciplines,es a detailed summary of data collection, scrappers, crawlers, and APIs. It also gives a view of data pre-processing, data annotation, data evaluation, and also highlight its various challenges and issues.
27#
發(fā)表于 2025-3-26 05:18:45 | 只看該作者
28#
發(fā)表于 2025-3-26 12:33:06 | 只看該作者
Deep Learning-Based Segmentation of MRI Images: Concepts, Challenges, Deep Learning Architectures, l neural networks (CNNs) being the most commonly used approach in the medical image analysis community. In this paper, we provide a comprehensive study of deep learning-based segmentation of MRI images, covering the fundamental concepts, challenges, deep neural network architectures, and future directions.
29#
發(fā)表于 2025-3-26 13:51:23 | 只看該作者
30#
發(fā)表于 2025-3-26 19:55:26 | 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(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, 2026-1-20 13:02
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
嘉黎县| 出国| 资源县| 贡嘎县| 汶上县| 濉溪县| 田东县| 本溪市| 辽阳县| 吉隆县| 八宿县| 如东县| 涞水县| 筠连县| 绩溪县| 陇西县| 纳雍县| 丹阳市| 莎车县| 民县| 贡山| 固镇县| 大埔区| 玉林市| 古交市| 原阳县| 定边县| 宁晋县| 万安县| 大姚县| 新绛县| 庆云县| 稻城县| 陇西县| 开江县| 博乐市| 平山县| 长治市| 涟水县| 来安县| 辰溪县|