標(biāo)題: Titlebook: Machine Learning and Data Mining in Aerospace Technology; Aboul Ella Hassanien,Ashraf Darwish,Hesham El-Aska Book 2020 Springer Nature Swi [打印本頁] 作者: 契約 時(shí)間: 2025-3-21 17:52
書目名稱Machine Learning and Data Mining in Aerospace Technology影響因子(影響力)
書目名稱Machine Learning and Data Mining in Aerospace Technology影響因子(影響力)學(xué)科排名
書目名稱Machine Learning and Data Mining in Aerospace Technology網(wǎng)絡(luò)公開度
書目名稱Machine Learning and Data Mining in Aerospace Technology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Data Mining in Aerospace Technology被引頻次
書目名稱Machine Learning and Data Mining in Aerospace Technology被引頻次學(xué)科排名
書目名稱Machine Learning and Data Mining in Aerospace Technology年度引用
書目名稱Machine Learning and Data Mining in Aerospace Technology年度引用學(xué)科排名
書目名稱Machine Learning and Data Mining in Aerospace Technology讀者反饋
書目名稱Machine Learning and Data Mining in Aerospace Technology讀者反饋學(xué)科排名
作者: prosthesis 時(shí)間: 2025-3-21 20:28 作者: Invigorate 時(shí)間: 2025-3-22 04:13
Alaa H. Ramadan,Aboul Ella Hassanien,Hesham A. Hefny,Lamiaa F. Ibrahim作者: Fsh238 時(shí)間: 2025-3-22 05:14
Sara Abdelghafar,Ashraf Darwish,Aboul Ella Hassanien作者: Goblet-Cells 時(shí)間: 2025-3-22 11:53
Kadry Ali Ezzat,Lamia Nabil Mahdy,Aboul Ella Hassanien,Ashraf Darwish作者: instate 時(shí)間: 2025-3-22 16:25
Sara Abdelghafar,Ahmed Salama,Mohamed Yahia Edries,Ashraf Darwish,Aboul Ella Hassanien作者: 含糊 時(shí)間: 2025-3-22 18:09
Noureldin Laban,Bassam Abdellatif,Hala M. Ebied,Howida A. Shedeed,Mohamed F. Tolba作者: Injunction 時(shí)間: 2025-3-23 00:53
Tensor-Based Anomaly Detection for Satellite Telemetry Dataurements values, such as the satellites subsystems measurement, some significant anomalies may stay hidden with these traditional methods. Tensor-based anomaly detection (TAD) applied in a variety set of disciplines over the recent years, although it is not recognized yet as an official category of 作者: 壓倒 時(shí)間: 2025-3-23 05:12 作者: AVID 時(shí)間: 2025-3-23 07:34
Formalization, Prediction and Recognition of Expert Evaluations of Telemetric Data of Artificial Satoped for a special class interval type-II fuzzy sets, which can simplify the procedures of expert evaluation. The third model is nonlinear and allows predicting expert evaluations of qualitative parameters. The fourth model with interval type-II fuzzy coefficients is developed for prediction numeric作者: 災(zāi)難 時(shí)間: 2025-3-23 10:20 作者: Ibd810 時(shí)間: 2025-3-23 17:31 作者: Melanocytes 時(shí)間: 2025-3-23 20:48 作者: 龍卷風(fēng) 時(shí)間: 2025-3-24 00:56 作者: 表被動 時(shí)間: 2025-3-24 04:55
Book 2020elemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data..作者: 深淵 時(shí)間: 2025-3-24 09:45 作者: Infirm 時(shí)間: 2025-3-24 14:05
Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: anomaly detection and third module is developed based on using data mining techniques for predicting the health of battery and estimate remaining useful lifetime. One of the important characteristics of this system is the flexibility of editing that makes it as a generic model compatible with any structure of cube satellite.作者: TOXIC 時(shí)間: 2025-3-24 15:58 作者: anaphylaxis 時(shí)間: 2025-3-24 22:49 作者: 詼諧 時(shí)間: 2025-3-25 00:55
Book 2020le eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict th作者: Basal-Ganglia 時(shí)間: 2025-3-25 04:00 作者: chance 時(shí)間: 2025-3-25 07:50
Tensor-Based Anomaly Detection for Satellite Telemetry Datas on the ground.?Satellites?also can view into space better than telescopes at earth’s surface. Development of such artificial satellites which composed of many subsystem, requires a lot of time and money that any deadly failure is unacceptable, the satellite operating in a remote environment, so it作者: 造反,叛亂 時(shí)間: 2025-3-25 14:50 作者: 廚房里面 時(shí)間: 2025-3-25 16:11
Formalization, Prediction and Recognition of Expert Evaluations of Telemetric Data of Artificial Satta often contain some symptoms that signal possible fatal system failures. However, the standard methods used cannot always detect these symptoms. The aim of this chapter is to propose formalization, prediction and recognition methods that will help experts to extract important information and not m作者: 調(diào)情 時(shí)間: 2025-3-25 21:26 作者: nautical 時(shí)間: 2025-3-26 00:25 作者: Myocyte 時(shí)間: 2025-3-26 07:58
Crop Yield Estimation Using Decision Trees and Random Forest Machine Learning Algorithms on Data froP) and provides employment to 50% of the countrys workforce. Estimation of Crop Yield during the cropping season plays an important role for planners and policymakers for decision making. It is one of the critical parts as it depends on different factors weather, soil and crop Management. Weather pl作者: 叢林 時(shí)間: 2025-3-26 10:49 作者: 不成比例 時(shí)間: 2025-3-26 14:56 作者: 要塞 時(shí)間: 2025-3-26 20:27 作者: Humble 時(shí)間: 2025-3-26 23:33
Security Approaches in Machine Learning for Satellite Communicationto “l(fā)earn”. The major focus of ML research is to extract information from data automatically, by computational and statistical methods. It is thus closely related to data mining and statistics. The power of neural networks stems from their representation capability. In many applications including cu作者: Dedication 時(shí)間: 2025-3-27 04:13
Machine Learning Techniques for IoT Intrusions Detection in Aerospace Cyber-Physical Systemschnologies that include sensors, wireless standards and data analysis tools. Known as Aerospace Cyber-physical Systems (CPS), these CPSes are undergoing a massive transformation to increase the safety, efficiency and reliability of their operations. The physical system has created the Internet of Th作者: grotto 時(shí)間: 2025-3-27 07:21
https://doi.org/10.1007/978-3-030-20212-5Data Mining; Machine Learning; LEO satellites; Telemetry Data Processing; Satellite Monitoring; Aerospace作者: cacophony 時(shí)間: 2025-3-27 12:42
978-3-030-20214-9Springer Nature Switzerland AG 2020作者: 遠(yuǎn)地點(diǎn) 時(shí)間: 2025-3-27 15:26
Machine Learning and Data Mining in Aerospace Technology978-3-030-20212-5Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Germinate 時(shí)間: 2025-3-27 19:27 作者: staging 時(shí)間: 2025-3-28 00:25 作者: bromide 時(shí)間: 2025-3-28 06:07
2522-5626 virtual versus brick-and-mortar approaches toward higher ed.Since the first works on Higher Education Administration in the 1970s no comprehensive work in terms of purpose and scope of Higher Education has been published. There have been important changes in people’s aspirations vis-à-vis higher ed作者: tenuous 時(shí)間: 2025-3-28 07:51
Research of Attractive Behaviour and Chaos Characteristics of a Control Object at Its Computer Modelllowed to make a deep prediction of the object’s behavior. The intensity of the influence of the value of the technological parameter on the process to increase the efficiency of management of the technological complex of the sugar plant is determined.作者: 色情 時(shí)間: 2025-3-28 11:51 作者: GROWL 時(shí)間: 2025-3-28 18:33 作者: larder 時(shí)間: 2025-3-28 20:57
Mehmet Hikmet Yukselici,M. K. Torun,Asuman A. Bozkurt,Melda Patan Alper,Zaher M. Nassar,Damla Bulut,Mesut Balabanll fulfilled all requirements to the letter, went some way beyond even UKOOA’s guidelines, and still encountered major difficulties. The management issue at this point goes beyond the quantitative ticking off of tasks and conditions, and into the softer qualitative areas of politics and sociology, s作者: 不要嚴(yán)酷 時(shí)間: 2025-3-28 23:25 作者: packet 時(shí)間: 2025-3-29 03:19 作者: 競選運(yùn)動 時(shí)間: 2025-3-29 09:53
Die Biographieforschungeit darstellen, wie sich dadurch aufzeigen l?sst, welches die teils expliziten, gr??tenteils jedoch impliziten Annahmen sind, mittels derer sich diese Verfahren ihrem Untersuchungsgegenstand zu n?hern suchen. Erst wenn es gelingt, auch in der Heterogenit?t methodischer Gegenstandserschlie?ungen durc作者: 合唱團(tuán) 時(shí)間: 2025-3-29 12:52 作者: 匍匐前進(jìn) 時(shí)間: 2025-3-29 17:17
Autonomic Nervous System In Vitro: Studying Tonically Active Neurons Controlling Vagal Outflow in Rlved in sensing or control of the intake and processing of food. Brain slices containing tonically active hypothalamic neurons are one established in vitro model for studying interneuronal and cellular signalling pathways underlying metabolism-related autonomous nervous functions. Here, we focus on
