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: Bio-inspired Neurocomputing; Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E Book 2021 Springer Nature Singapore Pte Ltd. 2021 Bio-comp

[復制鏈接]
查看: 10425|回復: 60
樓主
發(fā)表于 2025-3-21 19:44:54 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bio-inspired Neurocomputing
影響因子2023Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E
視頻videohttp://file.papertrans.cn/187/186398/186398.mp4
發(fā)行地址Presents latest advances in brain-inspired computing and neuro-computational models.Highlights the importance of AI and machine learning in biomedical data analytics.Includes contributions from multid
學科分類Studies in Computational Intelligence
圖書封面Titlebook: Bio-inspired Neurocomputing;  Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E Book 2021 Springer Nature Singapore Pte Ltd. 2021 Bio-comp
影響因子.This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchersas well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics..
Pindex Book 2021
The information of publication is updating

書目名稱Bio-inspired Neurocomputing影響因子(影響力)




書目名稱Bio-inspired Neurocomputing影響因子(影響力)學科排名




書目名稱Bio-inspired Neurocomputing網絡公開度




書目名稱Bio-inspired Neurocomputing網絡公開度學科排名




書目名稱Bio-inspired Neurocomputing被引頻次




書目名稱Bio-inspired Neurocomputing被引頻次學科排名




書目名稱Bio-inspired Neurocomputing年度引用




書目名稱Bio-inspired Neurocomputing年度引用學科排名




書目名稱Bio-inspired Neurocomputing讀者反饋




書目名稱Bio-inspired Neurocomputing讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

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限
沙發(fā)
發(fā)表于 2025-3-21 22:19:02 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:52:42 | 只看該作者
Internationalization of Japanese Banking,on in the relationship between stress and depression. ./.: Based on the study results, it is necessary to develop and operate the educational programs on self-efficacy and self-differentiation to lower the depression under the stress condition by proper coping with the individual situations.
地板
發(fā)表于 2025-3-22 08:28:08 | 只看該作者
In Quest of the Inner Life of the Japanese,ill evaluate the commonly used additive functions, such as swish, ReLU, Sigmoid, and so forth. This will be followed by their properties, own cons and pros, and particular formula application recommendations.
5#
發(fā)表于 2025-3-22 09:57:04 | 只看該作者
6#
發(fā)表于 2025-3-22 16:36:43 | 只看該作者
Performance Measurement of Various Hybridized Kernels for Noise Normalization and Enhancement in Hithe various included approaches have been evaluated and presented in this article. Upon practical implementation, it is observed that each of those hybridized kernels outperformed the type of noise on which they are experimented. The mean computational time of each kernel is also been presented in the results.
7#
發(fā)表于 2025-3-22 20:01:47 | 只看該作者
A Brief Review on Brain Tumour Detection and Classifications,ocessing such as segmentation and classification of tumor images. The proposed work discusses various conventional methods for brain tumour detection and classifications with the limited number of available information.
8#
發(fā)表于 2025-3-22 21:16:20 | 只看該作者
9#
發(fā)表于 2025-3-23 02:02:50 | 只看該作者
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks,ill evaluate the commonly used additive functions, such as swish, ReLU, Sigmoid, and so forth. This will be followed by their properties, own cons and pros, and particular formula application recommendations.
10#
發(fā)表于 2025-3-23 07:34:33 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-10 10:32
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
依兰县| 金昌市| 南江县| 扬中市| 甘孜县| 体育| 恩施市| 正宁县| 淮滨县| 蓬溪县| 南开区| 石阡县| 宁晋县| 阳西县| 正宁县| 昆明市| 安国市| 永济市| 集安市| 涟水县| 灌南县| 乳源| 阜康市| 孟村| 米林县| 华宁县| 夏津县| 金坛市| 海淀区| 晋中市| 伊宁市| 西峡县| 绥滨县| 龙川县| 木里| 石楼县| 临颍县| 介休市| 鹤岗市| 文成县| 禄丰县|