標(biāo)題: Titlebook: Machine Learning in VLSI Computer-Aided Design; Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li Book 2019 Springer Nature Switzerland AG 2 [打印本頁(yè)] 作者: dentin 時(shí)間: 2025-3-21 17:04
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design影響因子(影響力)
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design被引頻次
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design被引頻次學(xué)科排名
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design年度引用
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design年度引用學(xué)科排名
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design讀者反饋
書(shū)目名稱(chēng)Machine Learning in VLSI Computer-Aided Design讀者反饋學(xué)科排名
作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-3-21 21:54
Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin LiProvides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability.Discusses the use of machine learn作者: Expediency 時(shí)間: 2025-3-22 02:20 作者: conscribe 時(shí)間: 2025-3-22 07:08
Springer Nature Switzerland AG 2019作者: 做方舟 時(shí)間: 2025-3-22 11:46
A Preliminary Taxonomy for Machine Learning in VLSI CAD,ception. The purpose of this book is to bring to the interested reader a cross-section of the connections between existing and emerging machine learning methods and VLSI computer aided design (CAD). In this brief introduction, we begin with a high-level taxonomy of machine learning methods. We then 作者: 1FAWN 時(shí)間: 2025-3-22 16:41 作者: 話 時(shí)間: 2025-3-22 17:33 作者: companion 時(shí)間: 2025-3-23 00:11
Machine Learning in Physical Verification, Mask Synthesis, and Physical Design as physical design, mask synthesis, and physical verification are critical to guarantee fast design closure and manufacturability. Recent advances in machine learning provide various new opportunities and approaches to tackle these challenges. This chapter will discuss several applications of machi作者: CHURL 時(shí)間: 2025-3-23 03:26 作者: Jingoism 時(shí)間: 2025-3-23 06:30
Machine Learning Approaches for IC Manufacturing Yield Enhancementinterest in machine learning and data mining techniques to improve yield to take advantage of this increasing volume of data. In this chapter, we introduce machine learning yield models for integrated circuit (IC) manufacturing yield enhancement. Challenges in this area include class imbalance due t作者: FLEET 時(shí)間: 2025-3-23 12:28
Efficient Process Variation Characterization by Virtual Probend/or intra-die variations in nanoscale manufacturing process. VP exploits recent breakthroughs in compressed sensing to accurately predict spatial variations from an exceptionally small set of measurement data, thereby reducing the cost of silicon characterization. By exploring the underlying spars作者: BUDGE 時(shí)間: 2025-3-23 17:16
Machine Learning for VLSI Chip Testing and Semiconductor Manufacturing Process Monitoring and Improv to eye-catching merges and acquisitions. On the contrary, the $336 billion industry of semiconductor was seen as an “old-fashioned” business, with fading interests from the best and brightest among young graduates and engineers. This chapter argues that this does not have to be that way because man作者: 變異 時(shí)間: 2025-3-23 18:02 作者: 外向者 時(shí)間: 2025-3-24 01:17 作者: BUST 時(shí)間: 2025-3-24 02:50
Fast Statistical Analysis Using Machine Learninging-based methodology which comprises a uniform sampling stage and an importance sampling stage. Logistic regression-based machine learning techniques are employed for modeling the circuit response and speeding up the importance sample points simulations. To avoid overfitting, we rely on a cross-val作者: Mast-Cell 時(shí)間: 2025-3-24 08:18 作者: Mechanics 時(shí)間: 2025-3-24 13:23
Learning from Limited Data in VLSI CAD limited and the core of analytics becomes a feature search problem. In this context, the chapter explains the challenges for adopting a traditional machine learning problem formulation view. An adjusted machine learning view is suggested where learning from limited data is treated as an iterative f作者: Left-Atrium 時(shí)間: 2025-3-24 17:48 作者: 說(shuō)笑 時(shí)間: 2025-3-24 21:12
Sparse Relevance Kernel Machine-Based Performance Dependency Analysis of Analog and Mixed-Signal Cirf circuit performances on essential circuit and test parameters, such as design parameters, process variations, and test signatures. We present a novel Bayesian learning technique, namely sparse relevance kernel machine (SRKM), for characterizing analog circuits with sparse statistical regression mo作者: mastopexy 時(shí)間: 2025-3-25 03:03
rresponding differential interference contrast (DIC) images obtained by light microscopy that provides detailed information about the immuno-localization of histological and cellular structures. To demonstrate the effectiveness of our method, we examined the immunofluorescence of immuno-stained kera作者: Lucubrate 時(shí)間: 2025-3-25 05:35
Duane S. Boning,Ibrahim (Abe) M. Elfadel,Xin Liiques, since specific cares are implemented during the sample processing. The formation of access ducts for the quick penetration of the fixative solution, the complete removal of the demineralizing agent and the increase of the time of dehydration, clearing, and paraffin embedding are some of these作者: 擁擠前 時(shí)間: 2025-3-25 07:58
iques, since specific cares are implemented during the sample processing. The formation of access ducts for the quick penetration of the fixative solution, the complete removal of the demineralizing agent and the increase of the time of dehydration, clearing, and paraffin embedding are some of these作者: jungle 時(shí)間: 2025-3-25 15:32 作者: Gum-Disease 時(shí)間: 2025-3-25 18:50 作者: 出價(jià) 時(shí)間: 2025-3-25 20:55
Constantinos Xanthopoulos,Ke Huang,Ali Ahmadi,Nathan Kupp,John Carulli,Amit Nahar,Bob Orr,Michael Paights are no longer here to testify. The quality of life of people affected by unwanted light from neighbouring premises is often greatly diminished, and there is an increasing body of evidence that intrusive light, especially into rooms where people are asleep or are trying to sleep, may be harmful作者: 預(yù)兆好 時(shí)間: 2025-3-26 00:13
Hongge Chen,Duane S. Boningights are no longer here to testify. The quality of life of people affected by unwanted light from neighbouring premises is often greatly diminished, and there is an increasing body of evidence that intrusive light, especially into rooms where people are asleep or are trying to sleep, may be harmful作者: 要求比…更好 時(shí)間: 2025-3-26 05:06
Jun Tao,Wangyang Zhang,Xin Li,Frank Liu,Emrah Acar,Rob A. Rutenbar,Ronald D. Blanton,Xuan Zengcountries and new departures in lighting design.Discusses thThere have been many developments in the field of light pollution over the last few years, and this second edition of ‘Light Pollution - Responses and Remedies‘ will introduce them in detail. Examples include the appearance of anti-light po作者: 咆哮 時(shí)間: 2025-3-26 10:44
Jinjun Xiong,Yada Zhu,Jingrui Heon, as well as the problems lighting technologists face in oThis book deals with light pollution and about the ways to reduce it. Light pollution is one of the negative side-effects of artificial outdoor lighting. The term light pollution is an unhappy one, but as no better alternative seems to exis作者: 爆米花 時(shí)間: 2025-3-26 13:48 作者: FLASK 時(shí)間: 2025-3-26 19:30 作者: 開(kāi)花期女 時(shí)間: 2025-3-27 00:22 作者: 弄臟 時(shí)間: 2025-3-27 01:55 作者: homocysteine 時(shí)間: 2025-3-27 05:55 作者: PLE 時(shí)間: 2025-3-27 11:51
Li-C. Wangt plays a significant role in the transferring of the dark period signal on a daily basis while its levels and duration of its secretion are the basis for seasonality. As a result the suppression of MLT production by LAN exposure affects not only various daily rhythms but also seasonality of our the作者: 兇兆 時(shí)間: 2025-3-27 15:16
t plays a significant role in the transferring of the dark period signal on a daily basis while its levels and duration of its secretion are the basis for seasonality. As a result the suppression of MLT production by LAN exposure affects not only various daily rhythms but also seasonality of our the作者: 嚴(yán)重傷害 時(shí)間: 2025-3-27 20:14 作者: Resection 時(shí)間: 2025-3-28 02:00
Honghuang Lin,Asad Khan,Peng LiAccordingly, the first section of the book discusses the basics of light pollution and its effects on various organisms. The characteristics of light smog in the cities of Hanover, Warsaw, Boston, New York City and Toronto are then analysed and compared. But how can the problem be tackled? Existing 作者: 屈尊 時(shí)間: 2025-3-28 04:32
A Preliminary Taxonomy for Machine Learning in VLSI CAD,end the capabilities of existing VLSI CAD tools and methodologies. Finally, we outline the organization of this book, highlighting the range of machine learning methods that each of the chapters contributed to this book build on.作者: AGGER 時(shí)間: 2025-3-28 09:50 作者: Antigen 時(shí)間: 2025-3-28 13:46
Gaussian Process-Based Wafer-Level Correlation Modeling and Its Applications engineers, and to test engineers. In this chapter, we focus on understanding and modeling wafer-level spatial and spatiotemporal variations through the use of Gaussian processes and we present various real-life applications of such modeling in test cost reduction, quality improvement, and yield learning.作者: Mundane 時(shí)間: 2025-3-28 17:52 作者: PANEL 時(shí)間: 2025-3-28 22:01
Machine Learning for Mask Synthesis and etch proximity correction (EPC), and presents how machine learning is applied for their efficient implementation. Discussion on learning parameters, preparation of learning data set, and techniques to avoid over-fitting are also provided.作者: GLADE 時(shí)間: 2025-3-29 02:25 作者: manifestation 時(shí)間: 2025-3-29 06:13 作者: 五行打油詩(shī) 時(shí)間: 2025-3-29 08:42 作者: 紀(jì)念 時(shí)間: 2025-3-29 11:56
Extreme Statistics in Memoriese statistical distribution of memory cell performance metrics in this extreme rare event regime? We will answer these questions and in the process see the application of certain machine learning techniques and extreme value theory in memory design.作者: 多骨 時(shí)間: 2025-3-29 19:01 作者: 撤退 時(shí)間: 2025-3-29 19:53 作者: 前面 時(shí)間: 2025-3-30 03:19
Book 2019ext of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog d作者: 失誤 時(shí)間: 2025-3-30 04:02
n the connective-tissue fibers between the lingual epithelium and the lingual muscle. The DIC images revealed the keratinization of the stratified squamous cells of the lingual epithelium and, also, myogenesis beneath the connective tissue. In addition, immunoreactivity specific for CIII was also re作者: 損壞 時(shí)間: 2025-3-30 10:27
Duane S. Boning,Ibrahim (Abe) M. Elfadel,Xin Lithe most morphological and morphometric evaluations. Besides, this routine protocol allows the use of serial sectioning for more specific techniques such as histochemical and immunohistochemical analyses, which are suitable for cellular constituent and extracellular matrix evaluation of teeth and pe作者: MOTIF 時(shí)間: 2025-3-30 12:40
