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: Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems; Applications in Dron Ali Safa,Lars Keuninckx,Francky Catthoor Book

[復(fù)制鏈接]
查看: 20582|回復(fù): 38
樓主
發(fā)表于 2025-3-21 18:52:00 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems
副標題Applications in Dron
編輯Ali Safa,Lars Keuninckx,Francky Catthoor
視頻videohttp://file.papertrans.cn/665/664240/664240.mp4
概述Describes systematic design of SNN-STDP systems that significantly outperform prior works in terms of system accuracy.Presents the design of a first-of-its-kind SNN-STDP-based Simultaneous Localizatio
圖書封面Titlebook: Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems; Applications in Dron Ali Safa,Lars Keuninckx,Francky Catthoor Book
描述.This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs.
出版日期Book 2024
關(guān)鍵詞Spiking Neural Network; Spike-Timing-Dependent Plasticity; Neuromorphic Computing; Simultaneous Localiz
版次1
doihttps://doi.org/10.1007/978-3-031-63565-6
isbn_softcover978-3-031-63567-0
isbn_ebook978-3-031-63565-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems影響因子(影響力)




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems影響因子(影響力)學(xué)科排名




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems網(wǎng)絡(luò)公開度




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems被引頻次




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems被引頻次學(xué)科排名




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems年度引用




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems年度引用學(xué)科排名




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems讀者反饋




書目名稱Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:04:03 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:17:06 | 只看該作者
地板
發(fā)表于 2025-3-22 06:42:34 | 只看該作者
5#
發(fā)表于 2025-3-22 09:32:06 | 只看該作者
Conclusions and Future Work,This chapter provides conclusions to the various findings presented in this book. This chapter also provides a discussion on the use of Spiking Neural Networks equipped with STDP for the emerging paradigm of continual learning.
6#
發(fā)表于 2025-3-22 14:55:26 | 只看該作者
a first-of-its-kind SNN-STDP-based Simultaneous Localizatio.This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired
7#
發(fā)表于 2025-3-22 19:21:57 | 只看該作者
8#
發(fā)表于 2025-3-22 22:57:36 | 只看該作者
hich is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs.978-3-031-63567-0978-3-031-63565-6
9#
發(fā)表于 2025-3-23 01:57:25 | 只看該作者
Introduction,continual-learning SNN-STDP algorithms for performing various drone navigation tasks such as Simultaneous Localization and Mapping (SLAM), and people detection from drones, using a sensor fusion approach embarking event-based cameras and radar sensors.
10#
發(fā)表于 2025-3-23 08:01:39 | 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, 2025-10-6 14:57
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
乐安县| 锡林浩特市| 宁都县| 正安县| 垣曲县| 疏勒县| 正定县| 贺兰县| 永城市| 枝江市| 河西区| 普定县| 竹北市| 黄冈市| 汝阳县| 且末县| 汾西县| 溆浦县| 三门县| 彝良县| 六安市| 类乌齐县| 皮山县| 溧水县| 镇安县| 大埔县| 通河县| 武夷山市| 临江市| 南城县| 滕州市| 临沂市| 青海省| 板桥市| 滦平县| 石景山区| 巴林右旗| 含山县| 昆山市| 玉环县| 孝昌县|