標(biāo)題: Titlebook: Data Analytics for Process Engineers; Prediction, Control Daniela Galatro,Stephen Dawe Textbook 2024 The Editor(s) (if applicable) and The [打印本頁(yè)] 作者: NO610 時(shí)間: 2025-3-21 20:07
書(shū)目名稱Data Analytics for Process Engineers影響因子(影響力)
書(shū)目名稱Data Analytics for Process Engineers影響因子(影響力)學(xué)科排名
書(shū)目名稱Data Analytics for Process Engineers網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data Analytics for Process Engineers網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data Analytics for Process Engineers被引頻次
書(shū)目名稱Data Analytics for Process Engineers被引頻次學(xué)科排名
書(shū)目名稱Data Analytics for Process Engineers年度引用
書(shū)目名稱Data Analytics for Process Engineers年度引用學(xué)科排名
書(shū)目名稱Data Analytics for Process Engineers讀者反饋
書(shū)目名稱Data Analytics for Process Engineers讀者反饋學(xué)科排名
作者: 賞錢(qián) 時(shí)間: 2025-3-21 22:23
2573-3168 view of tools for monitoring, modeling, controlling, and optThis book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based model作者: CRAB 時(shí)間: 2025-3-22 02:38 作者: MOTTO 時(shí)間: 2025-3-22 07:39 作者: pantomime 時(shí)間: 2025-3-22 12:44 作者: lethal 時(shí)間: 2025-3-22 16:01
Sources of Data,i) process simulation data. Acquired data is referred to as .; however, synthetic data, artificially generated from measured or observed data, is a valuable source of data that we explore in this chapter, mostly when the measured data is insufficient or biased.作者: lethal 時(shí)間: 2025-3-22 17:46
Exploratory Data Analysis,sing observations. This chapter explores simple visualization EDA techniques, algorithms to detect and handle outliers and missing values, more advanced tools such as correlograms and clustering, and dimensionality reduction techniques.作者: infelicitous 時(shí)間: 2025-3-23 00:09 作者: violate 時(shí)間: 2025-3-23 01:36 作者: 繁殖 時(shí)間: 2025-3-23 06:03 作者: condemn 時(shí)間: 2025-3-23 12:18
Peace Ecology in the Anthropocene for Africasing observations. This chapter explores simple visualization EDA techniques, algorithms to detect and handle outliers and missing values, more advanced tools such as correlograms and clustering, and dimensionality reduction techniques.作者: 手勢(shì) 時(shí)間: 2025-3-23 16:34 作者: 敵意 時(shí)間: 2025-3-23 18:53
Citizenship and Political Parties in Ecuadorerformance and robustness of systems. In this Chapter, we illustrate the use of machine learning techniques to enhance tuning and optimization capabilities for both the basic control theory and model predictive control.作者: intimate 時(shí)間: 2025-3-23 23:57
Francesco Strazzari,Ervjola Selenicaassessing our exploratory data analysis, modelling, control, and optimization strategies considering the physical meaning of the phenomena captured in datasets. Finally, we sketch the future of data analytics in process engineering, providing some examples of current research in this fascinating field.作者: flaggy 時(shí)間: 2025-3-24 04:05 作者: pessimism 時(shí)間: 2025-3-24 08:40 作者: Intruder 時(shí)間: 2025-3-24 13:33
Data-Based Modelling for Prediction,s, which provide a fundamental understanding of physicochemical phenomena, such as the ones studied in fluid mechanics, heat transfer, and mass transfer. In data-based modelling, quantitative data analysis methods are used to identify and study a set of variables and determine the relationship or co作者: 原諒 時(shí)間: 2025-3-24 18:17
Data-Based Modelling for Control,ies on sensor measurements or data from control systems when executing actions. Machine learning can be and is currently used to solve complex control problems, as (i) it provides insights on training, and (ii) it learns from the data. Potentially, machine learning can contribute to optimizing the p作者: Influx 時(shí)間: 2025-3-24 21:16 作者: 飾帶 時(shí)間: 2025-3-25 00:38
Final Remarks,s and valuable resources regarding the tools used in this book for data analytics and references to open datasets. We clarified some concepts differentiating data analysis from data analytics and properly defining machine learning. As we reiteratively did in the book, we emphasize the importance of 作者: 生來(lái) 時(shí)間: 2025-3-25 04:38
Civil Society and Democracy in Latin Americaition system (DAQ). The resulting samples are then converted into digital numeric values. A DAQ includes sensors, measurement hardware, and a computer. For our ultimate modelling goal of prediction, control, and optimization of chemical processes, however, we can identify at least three different so作者: 不易燃 時(shí)間: 2025-3-25 11:09
Peace Ecology in the Anthropocene for Africals to (i) assess a dataset’s general structure, (ii) obtain descriptive summaries of the data, and (iii) provide the basis for model formulation. EDA includes checks on data quality, calculation of summary statistics, and data plotting. The data quality is checked regarding errors, outliers, and mis作者: spondylosis 時(shí)間: 2025-3-25 13:28
Peace Ecology in the Anthropocene for Africas, which provide a fundamental understanding of physicochemical phenomena, such as the ones studied in fluid mechanics, heat transfer, and mass transfer. In data-based modelling, quantitative data analysis methods are used to identify and study a set of variables and determine the relationship or co作者: Anticonvulsants 時(shí)間: 2025-3-25 18:07
Citizenship and Political Parties in Ecuadories on sensor measurements or data from control systems when executing actions. Machine learning can be and is currently used to solve complex control problems, as (i) it provides insights on training, and (ii) it learns from the data. Potentially, machine learning can contribute to optimizing the p作者: 令人苦惱 時(shí)間: 2025-3-25 21:20
Esther Parra Ramírez,Eduardo Guevara Cobosd reduces production costs through process improvement. In machine learning, on the other hand, optimization is used to improve the accuracy of a machine learning model by minimizing the degree of error and, hence, enhancing their learning to make accurate predictions. Furthermore, as we saw in prev作者: 漂亮才會(huì)豪華 時(shí)間: 2025-3-26 00:55
Francesco Strazzari,Ervjola Selenicas and valuable resources regarding the tools used in this book for data analytics and references to open datasets. We clarified some concepts differentiating data analysis from data analytics and properly defining machine learning. As we reiteratively did in the book, we emphasize the importance of 作者: Digitalis 時(shí)間: 2025-3-26 04:50
Daniela Galatro,Stephen DaweIncludes data analytics and machine learning tools to analyze process engineering–related problems pragmatically.Provides a comprehensive review of tools for monitoring, modeling, controlling, and opt作者: 修剪過(guò)的樹(shù)籬 時(shí)間: 2025-3-26 12:02 作者: MORPH 時(shí)間: 2025-3-26 16:23
https://doi.org/10.1007/978-3-031-46866-7data-based prediction; data analytics; process control; process engineering; process optimization作者: Incompetent 時(shí)間: 2025-3-26 19:44 作者: 不朽中國(guó) 時(shí)間: 2025-3-26 22:55
Data Analytics for Process Engineers978-3-031-46866-7Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: municipality 時(shí)間: 2025-3-27 03:52
Textbook 2024able and applicable data analytics stills that can be further used in their workplace. Moreover, itcan be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks.?.作者: Gerontology 時(shí)間: 2025-3-27 07:40 作者: 拖網(wǎng) 時(shí)間: 2025-3-27 11:01
Methods for Imaging Cell Fates in Hematopoiesis, the field of hematopoiesis and stem cell research, studies of cell trafficking involved in injury repair and hematopoietic engraftment have made great progress using these new tools. Multiple imaging modalities are available, each with its own advantages and disadvantages, depending on the specific作者: 氣候 時(shí)間: 2025-3-27 16:15 作者: Goblet-Cells 時(shí)間: 2025-3-27 21:21
,Psychosomatik oder Soma — Psyche?,en wir auch nach traumatischen Sch?den der Lendenwirbels?ule (LWS), nach Sch?del-Hirn-Verletzungen, aber auch nach Operationen. Grundlage der folgenden überlegungen ist einerseits eine pers?nliche Nachuntersuchung neurotischer Rentenbewerber (s. unten) und andererseits die kontinuierliche Arbeit als
