標題: Titlebook: Machine Learning and AI for Healthcare; Big Data for Improve Arjun Panesar Book 2021Latest edition Arjun Panesar 2021 Machine Learing.Artif [打印本頁] 作者: Addiction 時間: 2025-3-21 17:24
書目名稱Machine Learning and AI for Healthcare影響因子(影響力)
書目名稱Machine Learning and AI for Healthcare影響因子(影響力)學科排名
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書目名稱Machine Learning and AI for Healthcare網(wǎng)絡公開度學科排名
書目名稱Machine Learning and AI for Healthcare被引頻次
書目名稱Machine Learning and AI for Healthcare被引頻次學科排名
書目名稱Machine Learning and AI for Healthcare年度引用
書目名稱Machine Learning and AI for Healthcare年度引用學科排名
書目名稱Machine Learning and AI for Healthcare讀者反饋
書目名稱Machine Learning and AI for Healthcare讀者反饋學科排名
作者: Habituate 時間: 2025-3-21 20:42 作者: 脊椎動物 時間: 2025-3-22 02:54
Preparing Data,rough feeding models data, thus making the most crucial step in any data or machine learning project cleaning and preparation. It cannot be stressed enough: bad data creates bad results even when fed to the world’s most sophisticated machine learning models.作者: NATAL 時間: 2025-3-22 05:51 作者: 修改 時間: 2025-3-22 10:57 作者: 用肘 時間: 2025-3-22 14:53 作者: acrophobia 時間: 2025-3-22 17:31 作者: 樹木心 時間: 2025-3-22 22:44
Data,real time to optimize, maintain, and enhance the quality of life for entire populations. They may even be connected to your Amazon or Google accounts and aware of all significant events in our health and day-to-day living as human–computer interaction becomes even more embedded in smart care.作者: 易受刺激 時間: 2025-3-23 03:47 作者: 縮減了 時間: 2025-3-23 06:27 作者: ANA 時間: 2025-3-23 11:14
Book 2021Latest editionligent systems in healthcare and covers the challenges of managing big data..The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning model作者: pus840 時間: 2025-3-23 15:38 作者: Serenity 時間: 2025-3-23 21:32
Preparing Data,rough feeding models data, thus making the most crucial step in any data or machine learning project cleaning and preparation. It cannot be stressed enough: bad data creates bad results even when fed to the world’s most sophisticated machine learning models.作者: 前面 時間: 2025-3-23 23:23 作者: 自戀 時間: 2025-3-24 04:53
https://doi.org/10.1007/978-1-4842-6537-6Machine Learing; Artificial Intelligence; Healthcare; Big Data; Analytics; Real-Time Series; Deep Learning作者: Infinitesimal 時間: 2025-3-24 07:55 作者: thyroid-hormone 時間: 2025-3-24 12:16 作者: MUTE 時間: 2025-3-24 17:49
How to Perform Machine Learning,Machine learning is a rapidly evolving and exciting discipline within computer science, blending a range of skills including exploration and discovery, engineering, and analysis. Machine learning uses large amounts of factual, historical data to help us better understand behaviors.作者: Efflorescent 時間: 2025-3-24 21:10
What Is the Future of Healthcare?,New advances in medicine and concepts that were once the futuristic topics of science fiction are gradually becoming a reality. Gene therapies, 3-D printing of human organs, liquid biopsies, robot-assisted surgeries, and voice-enabled personal assistants are now realities that are becoming more sophisticated as time goes on [165–168].作者: stressors 時間: 2025-3-25 00:00
Case Studies,AI is improving the healthcare experience, bringing success to those who can leverage and adapt to a new health and care delivery paradigm. This chapter contains real-world case studies where applications of machine learning are being used to solve real-world problems in digital health.作者: OGLE 時間: 2025-3-25 04:05 作者: Fester 時間: 2025-3-25 08:39 作者: Obstreperous 時間: 2025-3-25 15:31 作者: Foreshadow 時間: 2025-3-25 19:16
Arjun Panesarerden diese Elemente ausführlich beschrieben sowie einige zukunftstr?chtige Konzepte dargelegt. Ein detailliertes Inhalts- und Stichwortverzeichnis erm?glicht das gezielte Nachschlagen und schn978-3-211-89214-5作者: RADE 時間: 2025-3-25 21:39 作者: 清晰 時間: 2025-3-26 01:16 作者: 代理人 時間: 2025-3-26 07:47
Saidah Mbooge Najjuma set of model reduction techniques that are particularly amenable to bond graph models due to the common energy-based nature of these techniques and the bond graph language. Three techniques are presented that are developed with model order reduction, model partitioning, and simultaneous order and s作者: Factual 時間: 2025-3-26 10:39
Alfonso Lampen,Klaus E. Appelequested service (server policy). The client, on the other hand, wants to minimize the sensitivity of the set of credentials disclosed (client preference). We present a qualitative preference formalism based on conditional importance networks (CI-nets) for representing and reasoning with client pref作者: 多節(jié) 時間: 2025-3-26 15:33 作者: CARK 時間: 2025-3-26 17:38 作者: 蒙太奇 時間: 2025-3-26 22:59
Watchman Routes for Lines and Segments, any line is visible (along a line) from at least one point of the route; similarly, we define a watchman route (tour) for a connected set . of line segments. The watchman route problem for a given set of lines or line segments is to find a shortest watchman route for the input set, and these proble作者: 旅行路線 時間: 2025-3-27 01:17 作者: GRIPE 時間: 2025-3-27 06:35
Forecasting Short Term Peak Loads of Distribution Transformer (DT) Using Machine Learning and Compufew years, abundance of data have been made available in standard format and therefore it is compelling to use ML techniques to achieve better prediction. In several instances we have witnessed 98–99% accuracy in prediction levels using ML techniques. In Utility Industry, one of the key parameter ev作者: 珍奇 時間: 2025-3-27 11:59 作者: Expostulate 時間: 2025-3-27 16:44 作者: Metamorphosis 時間: 2025-3-27 17:53
2198-4182 the integration of technology into decision-making processe.This book aims to provide a comprehensive understanding of the interplay between technology and business and its implications for future growth and innovation. In today‘s rapidly changing world, technology plays a crucial role in shaping t作者: 輪流 時間: 2025-3-27 22:01
Assessment of quality performance in manufacturingoses an alternative. Two aspects of quality performance assessment are of particular relevance to the automation of quality systems: first, the justification of investment decisions for automation, and second, the suitability of the assessment criteria for automatic analysis and presentation.作者: Canvas 時間: 2025-3-28 04:13
Reformp?dagogik und qualitative Schulforschung: Anwendungsgebiete, Risiken und Nebenwirkungenvgl. auch Ullrich/Idel/Kunze 2004). Ich werde also weniger Ergebnisse der konkreten Studien zu Reformschulen berichten als nach dem jeweils zu beobachtenden Verh?ltnis von Reformschule und (qualitativer) Forschung fragen: Welche Erwartungen, welche Müglichkeiten und welche Probleme verknüpfen sich mit Forschung an und über Reformschulen?作者: 茁壯成長 時間: 2025-3-28 08:59
https://doi.org/10.1007/978-3-476-04090-9wobei [· , ·] der Kommutator auf einer Operatorenalgebra ist, und andererseits die Transformation zwischen beliebigen Orthogonalbasen. Nachdem Schr?dinger die ?quivalenz seiner Wellenfunktionsbeschreibung mit Heisenbergs Matrizenmechanik nachgewiesen hatte, fand alles im Diracschen Formalismus Platz作者: 欺騙世家 時間: 2025-3-28 12:47 作者: 搜集 時間: 2025-3-28 17:59
Aggregated Supply Curves Forecastingd in this chapter. In detail, A paradigmatic data integration method is proposed to fix the unstructured data formats. A feature extraction method is developed to simplify the high dimensionality of ASC. Then, an LSTM model is customized to forecast ASCs. At last, real data from the Midcontinent Ind作者: 領巾 時間: 2025-3-28 20:48 作者: 撫育 時間: 2025-3-29 00:58 作者: flex336 時間: 2025-3-29 05:56 作者: MITE 時間: 2025-3-29 10:15
Multiple Forms of Enzymes and the Emergence of the Isoenzyme Concept,ic catalysts — was recognized early in the history of enzymology to be due to the existence of an almost equally wide range of enzymes, each with a characteristic specificity. In the third edition of his textbook of chemistry, published in 1837, J.J. Berzelius considered two alternatives: that a few
