標題: Titlebook: Deep Learning: Convergence to Big Data Analytics; Murad Khan,Bilal Jan,Haleem Farman Book 2019 The Author(s), under exclusive license to S [打印本頁] 作者: 自治 時間: 2025-3-21 16:26
書目名稱Deep Learning: Convergence to Big Data Analytics影響因子(影響力)
書目名稱Deep Learning: Convergence to Big Data Analytics影響因子(影響力)學科排名
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書目名稱Deep Learning: Convergence to Big Data Analytics網(wǎng)絡公開度學科排名
書目名稱Deep Learning: Convergence to Big Data Analytics被引頻次
書目名稱Deep Learning: Convergence to Big Data Analytics被引頻次學科排名
書目名稱Deep Learning: Convergence to Big Data Analytics年度引用
書目名稱Deep Learning: Convergence to Big Data Analytics年度引用學科排名
書目名稱Deep Learning: Convergence to Big Data Analytics讀者反饋
書目名稱Deep Learning: Convergence to Big Data Analytics讀者反饋學科排名
作者: bisphosphonate 時間: 2025-3-21 22:08 作者: 鳴叫 時間: 2025-3-22 04:08
Deep Learning Methods and Applications,n various fields. Deep learning has substantially improved the predictive capacity of computing devices, due to the availability of big data, with the help of superior learning algorithms. It has made it possible as well as practical to integrate machine learning with sophisticated applications incl作者: invade 時間: 2025-3-22 06:51
Integration of Big Data and Deep Learning,rchers introduce the concept of deep learning to address the aforementioned challenge. However, big data analytics required a process consists of various steps where in each step an algorithm or a bunch of algorithm can be used. This chapter explains the role of machine learning in processing big da作者: 媒介 時間: 2025-3-22 09:19
Future of Big Data and Deep Learning for Wireless Body Area Networks,data. It has the ability to find the optimum set of parameters for the network layers using a back-propagation algorithm, thereby modeling intricate structures in the data distribution. Further, deep learning architectures have resulted in tremendous performance on most recent machine learning chall作者: 滋養(yǎng) 時間: 2025-3-22 15:05 作者: 滋養(yǎng) 時間: 2025-3-22 20:34 作者: 內(nèi)向者 時間: 2025-3-23 00:19
2191-5768 y level understanding of the new programming languages and t.This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time作者: 幼稚 時間: 2025-3-23 03:23 作者: 赤字 時間: 2025-3-23 08:24 作者: adulterant 時間: 2025-3-23 13:44
Book 2019rstanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet 作者: Respond 時間: 2025-3-23 17:11
Das Variationsspektrum des Deutschenorough study of the big data analytics and the tools required to process the big data is also presented with reference to some existing and well-known work. Further, the chapter is concluded by connecting the deep learning with big data analytics for filling the gap of using machine learning for huge datasets.作者: Fibroid 時間: 2025-3-23 18:37 作者: 不可思議 時間: 2025-3-24 02:07
https://doi.org/10.1007/978-3-476-04921-6 application of BD, BD analytical tools, and data types of BD are described, in order to enlighten the readers about this broad subject domain. Finally, the chapter concludes by identifying potential opportunities as well as challenges faced by BD and BDA.作者: 能得到 時間: 2025-3-24 06:04
Big Data Analytics, application of BD, BD analytical tools, and data types of BD are described, in order to enlighten the readers about this broad subject domain. Finally, the chapter concludes by identifying potential opportunities as well as challenges faced by BD and BDA.作者: instulate 時間: 2025-3-24 07:47 作者: Anthology 時間: 2025-3-24 14:42
2191-5768 chniques and applications based on these two types of deep learning..Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses var978-981-13-3458-0978-981-13-3459-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: 改變立場 時間: 2025-3-24 18:36
Book 2019arning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning..Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses var作者: separate 時間: 2025-3-24 19:10 作者: fastness 時間: 2025-3-25 02:44 作者: Epithelium 時間: 2025-3-25 05:06 作者: 耕種 時間: 2025-3-25 07:36 作者: 內(nèi)向者 時間: 2025-3-25 14:01 作者: 放牧 時間: 2025-3-25 16:26
Aida Bosch,Pamela Finley,Thomas Reichenbachdata. It has the ability to find the optimum set of parameters for the network layers using a back-propagation algorithm, thereby modeling intricate structures in the data distribution. Further, deep learning architectures have resulted in tremendous performance on most recent machine learning chall作者: ACRID 時間: 2025-3-25 22:35 作者: 蚊子 時間: 2025-3-26 03:33
978-981-13-3458-0The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019作者: Counteract 時間: 2025-3-26 06:07 作者: 哀求 時間: 2025-3-26 12:04
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/d/image/264644.jpg作者: Antagonism 時間: 2025-3-26 12:46
Deep Learning: Convergence to Big Data Analytics978-981-13-3459-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: absorbed 時間: 2025-3-26 19:53
Transport in the European and Circumpolar Arctic,t network of the European and Circumpolar Arctic: the lack of access to the main line (road transport), the need to maintain the roadbed in permafrost conditions (rail transport), the lack of dredging (water transport), etc.作者: 母豬 時間: 2025-3-26 21:51 作者: Epidural-Space 時間: 2025-3-27 01:53
Ning Zhong,Jiming Liu,Yiyu Yao,Jinglong Wu,Shengfu Lu,Yulin Qin,Kuncheng Li,Benjamin Wahieved leading to new types of so-called adsorption isotherms based on the concepts of molecular association and – phenomenologically speaking – on that of thermodynamic phases of fractal dimension. Naturally, results of international collaboration of the authors over the years (1980-2000) also are i作者: muffler 時間: 2025-3-27 07:22 作者: 遍及 時間: 2025-3-27 12:10
M. D. Lechner,E. H. Nordmeier,K. Gehrke time constraints, and throughput. Here, we describe the methods of total RNA isolation, AGO2-bound RNA isolation, miRNA polyadenylation, miRNA-cDNA synthesis, and quantitative real-time polymerase chain reaction for the detection of known miRNAs in cultured cells or xenograft tissues of breast cancer.作者: 疼死我了 時間: 2025-3-27 15:25
Centralized PID Controllers for Unstable System,l system. The limit cycles are obtained in the outputs with the same frequency but with different amplitude and time shift. The simulation studies on two TITO examples to evaluate the improved performances are presented. The robust behaviour of the proposed controller is analysed by using the inverse maximum singular value versus frequency plot.作者: zonules 時間: 2025-3-27 20:15
Die Wirkung mechanischer Schwingungen (0,5 bis 100 Hertz) auf den Menschen
