Riyaziyyat 2: İŞ DƏFTƏRİ, 1-ci hisse ((Математика 2: РАБОЧАЯ ТЕТРАДЬ, Часть-1)

Date

2021-09-01

Author

Erbaş, Ayhan Kürşat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

132
views

0
downloads

URI

https://hdl.handle.net/11511/100304

Collections

Department of Mathematics and Science Education, Book / Book chapter

Suggestions

OpenMETU
Core

Riyaziyyat 2: İŞ DƏFTƏRİ, 2-ci hisse ((Математика 2: РАБОЧАЯ ТЕТРАДЬ, Часть-2) Erbaş, Ayhan Kürşat (Azərbaycan Respublikası Təhsil Nazirliyi - Təhsil Texnologiyaları Mərkəzi, 2021-09-01)
REKF and RUKF development for pico satellite attitude estimation in the presence of measurement faults Söken, Halil Ersin (2011-09-01) When a pico satellite is under normal operational conditions, whether it is Extended or Unscented, a conventional Kalman Filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunction in the estimation system, Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms; Robust Extended Kalman Filter (REKF) and Robust Unscented Kalman Filter (REKF) for the case of measure...
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction Alkan, Oznur Kirmemis; Karagöz, Pınar (Institute of Electrical and Electronics Engineers (IEEE), 2015-10-1) High utility sequential pattern mining has been considered as an important research problem and a number of relevant algorithms have been proposed for this topic. The main challenge of high utility sequential pattern mining is that, the search space is large and the efficiency of the solutions is directly affected by the degree at which they can eliminate the candidate patterns. Therefore, the efficiency of any high utility sequential pattern mining solution depends on its ability to reduce this big search ...
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction Alkan, Oznur Kirmemis; Karagöz, Pınar (2016-05-20) This paper presents efficient data structures and a pruning technique in order to improve the efficiency of high utility sequential pattern mining. CRoM (Cumulated Rest of Match) based upper bound, which is a tight upper bound on the utility of the candidates is proposed in order to perform more conservative pruning before candidate pattern generation in comparison to the existing techniques. In addition, an efficient algorithm, HuspExt (High Utility Sequential Pattern Extraction), is presented which calcul...
REKF and RUKF for pico satellite attitude estimation in the presence of measurement faults Söken, Halil Ersin (2014-04-01) When a pico satellite is under normal operational conditions, whether it is extended or unscented, a conventional Kalman filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunctions in the estimation system, the Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms, robust extended Kalman filter (REKF) and robust unscented Kalman filter (RUKF), for the case of m...

Citation Formats

A. K. Erbaş, Riyaziyyat 2: İŞ DƏFTƏRİ, 1-ci hisse ((Математика 2: РАБОЧАЯ ТЕТРАДЬ, Часть-1). 2021.