標(biāo)題: Titlebook: Data Science for Nano Image Analysis; Chiwoo Park,Yu Ding Book 2021 Springer Nature Switzerland AG 2021 Nano Image Analysis.Data Science.M [打印本頁] 作者: Radiofrequency 時(shí)間: 2025-3-21 17:19
書目名稱Data Science for Nano Image Analysis影響因子(影響力)
書目名稱Data Science for Nano Image Analysis影響因子(影響力)學(xué)科排名
書目名稱Data Science for Nano Image Analysis網(wǎng)絡(luò)公開度
書目名稱Data Science for Nano Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science for Nano Image Analysis被引頻次
書目名稱Data Science for Nano Image Analysis被引頻次學(xué)科排名
書目名稱Data Science for Nano Image Analysis年度引用
書目名稱Data Science for Nano Image Analysis年度引用學(xué)科排名
書目名稱Data Science for Nano Image Analysis讀者反饋
書目名稱Data Science for Nano Image Analysis讀者反饋學(xué)科排名
作者: AVOID 時(shí)間: 2025-3-21 22:33 作者: Limerick 時(shí)間: 2025-3-22 03:52 作者: 沉默 時(shí)間: 2025-3-22 05:54
Chain Maps and Reduction Algorithms Material structures are often imaged and characterized using microscopy techniques and described by the outlines of material interior and exterior structures, as well as the geometric features of these outlines, such as sizes, shapes and topology. To obtain the outlines, one segments a microscope i作者: 試驗(yàn) 時(shí)間: 2025-3-22 12:13 作者: 細(xì)菌等 時(shí)間: 2025-3-22 14:13 作者: 細(xì)菌等 時(shí)間: 2025-3-22 18:26
Prospects in Digital Image Processing objects are initiating, crystalizing, and morphing into different sizes and shapes. To enable in-process control of nanocrystal production, this technology innovation needs a data science solution addressing the capability of online tracking of the underlying stochastic process of nanocrystal growt作者: 終端 時(shí)間: 2025-3-22 22:32
J. M. Cadenas,M. C. Garrido,R. Martínez purpose of studying and designing novel materials. Studies of the dynamic evolutions are enabled through analyzing a sequence of microscopic images taken at different times or different stages of the evolutions. The time-resolved imaging can be acquired using in situ material imaging techniques, re作者: 巫婆 時(shí)間: 2025-3-23 05:03 作者: Ceramic 時(shí)間: 2025-3-23 09:24
Garrett Nicolai,Robert Hildermancontain the structures of material objects that change over the course of a material process. If one is interested in knowing how a population of material objects is collectively evolved in their sizes and shapes, a probability distribution function of the shapes and sizes ought to be tracked. Towar作者: 漸變 時(shí)間: 2025-3-23 12:31 作者: 愛管閑事 時(shí)間: 2025-3-23 16:43
https://doi.org/10.1007/978-3-030-72822-9Nano Image Analysis; Data Science; Material Science; Image Pattern Analysis; Shape Analysis; Object Track作者: 配置 時(shí)間: 2025-3-23 20:25
978-3-030-72824-3Springer Nature Switzerland AG 2021作者: Crepitus 時(shí)間: 2025-3-23 23:10 作者: 座右銘 時(shí)間: 2025-3-24 05:17
Chiwoo Park,Yu DingApplies Data Science and OR techniques to Nano Image Analysis.Showcases specific nano material problems with the appropriate set of data science methods.Includes real-time dynamic modeling and object 作者: transient-pain 時(shí)間: 2025-3-24 08:21
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/d/image/263120.jpg作者: Inflated 時(shí)間: 2025-3-24 14:23 作者: Blatant 時(shí)間: 2025-3-24 18:42 作者: 過去分詞 時(shí)間: 2025-3-24 19:44 作者: 憤世嫉俗者 時(shí)間: 2025-3-25 02:04
Introduction,llowed by a discussion of potential readership and instructorship of the book. The last section provides the links for the online book materials, i.e., the image sets and computer codes used in the book.作者: 忘川河 時(shí)間: 2025-3-25 04:58 作者: 滑動(dòng) 時(shí)間: 2025-3-25 08:51 作者: 鉆孔 時(shí)間: 2025-3-25 12:18 作者: 并排上下 時(shí)間: 2025-3-25 17:14
Image Representation,ents. Imaging instruments play a vital role in material characterization because of their unique and irreplaceable ability to reveal the microstructures of a material. Material scientists has exploited various kinds of imaging instruments to understand a material’s microstructures and infer the mate作者: NUDGE 時(shí)間: 2025-3-25 21:38 作者: PANT 時(shí)間: 2025-3-26 03:48 作者: faucet 時(shí)間: 2025-3-26 06:05 作者: ECG769 時(shí)間: 2025-3-26 09:10 作者: 從容 時(shí)間: 2025-3-26 15:28 作者: 鬧劇 時(shí)間: 2025-3-26 18:18 作者: 畢業(yè)典禮 時(shí)間: 2025-3-26 23:54
Change Point Detection,serve the transformation of nanoscale objects as it occurs is unparalleled in comparison to other material characterization methods, and is of tremendous value to material scientists and engineers who study matter at nanoscale dimensions. One important task in such effort is to detect changes in the作者: 不在灌木叢中 時(shí)間: 2025-3-27 02:13
Multi-Object Tracking Analysis,contain the structures of material objects that change over the course of a material process. If one is interested in knowing how a population of material objects is collectively evolved in their sizes and shapes, a probability distribution function of the shapes and sizes ought to be tracked. Towar作者: 我不死扛 時(shí)間: 2025-3-27 05:55
Super Resolution,nd the effort intensifies greatly in the past two decades. The essential objective of super-resolution is to enhance the quality of a low-resolution image, using a high-resolution counterpart. The super-resolution research started with combining information content from multiple low-resolution image作者: atrophy 時(shí)間: 2025-3-27 13:11
Chain Maps and Reduction Algorithmsentation for material images, as the subsequent image analyses after segmentation are to be discussed in the latter chapters. In the first section of this chapter, we describe the unique characteristics of material images and the challenges that they cause in image segmentation. In the second sectio作者: 無能力 時(shí)間: 2025-3-27 13:39 作者: Prologue 時(shí)間: 2025-3-27 19:47
Prospects in Digital Image Processingference. We want to note that the importance of material mixing applies not only to nanoparticle-embedded materials but also to other types of material mixing involving a host and additive or reinforcing agents, endowing the methods discussed in this chapter with broader impacts beyond nanomaterials作者: antiquated 時(shí)間: 2025-3-27 23:47 作者: entrance 時(shí)間: 2025-3-28 03:12
Prospects in Digital Image Processingi-stage growth process, a nonparametric approach is inevitable. As such, the online tracking problem discussed in this chapter becomes the data science problem of modeling, estimating, and updating of a nonparametric, time-varying probability density distribution.作者: Modify 時(shí)間: 2025-3-28 08:49 作者: 蟄伏 時(shí)間: 2025-3-28 13:17 作者: florid 時(shí)間: 2025-3-28 18:28
Garrett Nicolai,Robert Hildermanry, e.g., why do the size and shape distributions change as tracked, how do individual material objects evolve over time, and what type of chemical kinetics drives the evolution? If one is interested in explaining individualized evolutions or in learning the relationship between the chemical kinetic作者: inclusive 時(shí)間: 2025-3-28 21:36
Computational Swarm Intelligenceion and low-resolution patch pairs are learned through a training dataset. When given a single new low-resolution image, which may not necessarily be related to any of the images in the training set, the learned algorithm is supposedly able to boost its resolution to a higher level. This second bran作者: 分解 時(shí)間: 2025-3-28 23:41
Book 2021e-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, gr作者: 公式 時(shí)間: 2025-3-29 04:49
0884-8289 erial exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, gr978-3-030-72824-3978-3-030-72822-9Series ISSN 0884-8289 Series E-ISSN 2214-7934 作者: Ointment 時(shí)間: 2025-3-29 10:51 作者: Esophagitis 時(shí)間: 2025-3-29 14:51 作者: V切開 時(shí)間: 2025-3-29 18:11 作者: Brittle 時(shí)間: 2025-3-29 19:54
Lattice Pattern Analysis,dislocations, and defects in atom’s locations. Quantification of these spatial features allows material scientists to map material performance as a function of the features. In this chapter, we introduce the relevant state-of-the-art approaches regarding the lattice pattern analysis.作者: Outwit 時(shí)間: 2025-3-30 03:30
