Log in

Relevant bibliographies by topics / Robuck / Journal articles

Journal articles on the topic 'Robuck'

To see the other types of publications on this topic, follow the link: Robuck.

Author: Grafiati

Published: 27 July 2024

Last updated: 28 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Robuck.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Purnama, Drajat Indra, and Pardomuan Robinson Sihombing. "PERBANDINGAN ANALISIS KOMPONEN UTAMA DAN ROBUST PCA (ROBPCA)." Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika 1, no. 1 (March 2, 2021): 67–76. http://dx.doi.org/10.46306/bay.v1i1.7.

Full text

Abstract:

Sulawesi Selatan merupakan provinsi di wilayah timur Indonesia yang merupakan pintu gerbang menuju beberapa wilayah atau kota di Indonesia Timur. Tingkat kesejahteraan penduduk Sulawesi Selatan dapat diukur salah satunya dengan menghitung pengeluaran dalam memenuhi kebutuhan hidupnya baik kebutuhan makanan maupun bukan makanan. Pada penelitian ini akan dilakukan analisis terhadap rata-rata pengeluaran per kapita sebulan pada empat belas kelompok makanan. Untuk memudahkan analisis terhadap variabel yang jumlahnya banyak maka perlu dilakukan penyederhanaan jumlah variabel menggunakan analisis kompone utama dengan metode PCA klasik dan ROBPCA. Hasil yang didapat metode ROBPCA memberikan performa yang lebih baik dari pada PCA klasik, hal ini dapat dilihat model ROBPCA mampu menghasilkan jumlah komponen utama yang lebih sedikit daripada variabel asalnya, hanya dengan 3 komponen sudah mampu menjelaskan hingga 80,69 persen

APA, Harvard, Vancouver, ISO, and other styles

2

Hubert, Mia, Peter J. Rousseeuw, and Karlien Vanden Branden. "ROBPCA: A New Approach to Robust Principal Component Analysis." Technometrics 47, no. 1 (February 2005): 64–79. http://dx.doi.org/10.1198/004017004000000563.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Noor, Amina, Aitzaz Ahmad, Erchin Serpedin, Mohamed Nounou, and Hazem Nounou. "ROBNCA: robust network component analysis for recovering transcription factor activities." Bioinformatics 29, no. 19 (August 11, 2013): 2410–18. http://dx.doi.org/10.1093/bioinformatics/btt433.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Leotta, Maurizio, Andrea Stocco, Filippo Ricca, and Paolo Tonella. "Robula+: an algorithm for generating robust XPath locators for web testing." Journal of Software: Evolution and Process 28, no. 3 (March 2016): 177–204. http://dx.doi.org/10.1002/smr.1771.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Chary, V. Vishnu Vardhan, and Ch Sandeep Ch.Sandeep. "Robust Offline Signature Verification." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 93–95. http://dx.doi.org/10.15373/22778179/dec2013/30.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

YULIANI, NI WAYAN, I. KOMANG GDE SUKARSA, and I. GUSTI AYU MADE SRINADI. "PERBANDINGAN REGRESI KOMPONEN UTAMA DAN ROBPCA DALAM MENGATASI MULTIKOLINEARITAS DAN PENCILAN PADA REGRESI LINEAR BERGANDA." E-Jurnal Matematika 2, no. 4 (January 22, 2014): 1. http://dx.doi.org/10.24843/mtk.2013.v02.i04.p050.

Full text

Abstract:

Multiple linear regression analysis with a lot of independent variable always makes many problems because there is a relationship between two or more independent variables. The independent variables which correlated each other are called multicollinearity. Principal component analysis which based on variance covariance matrix is very sensitive toward the existence of outlier in the observing data. Therefore in order to overcome the problem of outlier it is needed a method of robust estimator toward outlier. ROBPCA is a robust method for PCA toward the existence of outlier in the data. In order to obtain the robust principal component is needed a combination of Projection Pursuit (PP) with Minimum Covariant Determinant (MCD). The results showed that the ROBPCA method has a bias parameter and Mean Square Error (MSE) parameter lower than Principal Component Regression method. This case shows that the ROBPCA method better cope with the multicollinearity observational data influenced by outlier.

APA, Harvard, Vancouver, ISO, and other styles

7

Mayaud, L., S. Filipe, L. Pétégnief, O. Rochecouste, and M. Congedo. "Robust Brain-computer Interface for virtual Keyboard (RoBIK): Project results." IRBM 34, no. 2 (April 2013): 131–38. http://dx.doi.org/10.1016/j.irbm.2013.01.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Aung, Zaw Win. "A Robust Speaker Identification System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2057–64. http://dx.doi.org/10.31142/ijtsrd18274.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Kondolembang, Ferry. "PEMODELAN STATISTICAL DOWNSCALLING DENGAN PENDEKATAN REGRESI BAYES ROBUST PCA (STUDI KASUS : DATA GCM STASIUN AMBON)." BAREKENG: Jurnal Ilmu Matematika dan Terapan 6, no. 2 (December 1, 2012): 45–50. http://dx.doi.org/10.30598/barekengvol6iss2pp45-50.

Full text

Abstract:

Masalah mendasar dari prediksi prediksi model curah hujan adalah keakuratan model berdasarkan proses stokhastik skala global maupun skala kecil. Statistical Downscalling(SD) merupakan salah satu alternatif untuk mengatasi masalah tersebut. SD adalah model yang menghubungkan skala global GCM dengan skala yang lebih kecil (lokal) dengan jalanpra-pemrosesan .reduksi dimensi domain grid untuk mengatasi kasus multikolinearitas. Metode reduksi dimensi yang serikali digunakan adalah Principal Component Analysis(PCA). Namun PCA tidak dapat diandalkan jika ada pengamatan outlier dalam data, sehingga diperlukan reduksi dimensi yang robust. Reduksi dimensi robust menggunakanRobust Principal Component Analysis (ROBPCA) dengan estimator robust MCD. Dari hasil reduksi dimensi domain grid tersebut selanjutnya diregresikan dengan variabel responberupa data curah hujan di stasiun Ambon dengan pendekatan regresi Bayes. Pendekatan regresi Bayes ROBUST PCA menjadi salah satu alternatif pada pemodelan SD. HasilPenelitian menunjukkan Metode regresi Bayes ROBPCA cenderung lebih baik pada domain 8x8 dilihat pada kriteria kebaikan model RMSE terkecil yaitu 231,4 dan R-Squareterbesar 38,1% dibandingkan domain 3x3 dan domain 12x12

APA, Harvard, Vancouver, ISO, and other styles

10

Prat, N., R. Acosta, and M. Rieradevall. "Presence of Symbiocladius wygodzinskyi Roback, 1965 (Diptera, Chironomidae) in Peru. Taxonomic remarks." Graellsia 69, no. 1 (February 22, 2013): 117–21. http://dx.doi.org/10.3989/graellsia.2013.v69.074.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Kuznetsov, S. P. "Generation of Robust Hyperbolic Chaos in CNN." Nelineinaya Dinamika 15, no. 2 (2019): 109–24. http://dx.doi.org/10.20537/nd190201.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Keream, Settar S., Ahmed N. Abdalla, Ruzlaini Ghoni, Mohd Razali Daud, and Youssif Al Mashhadany. "Robust Dynamic Inverse Controller For Spacecraft Model." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 113–17. http://dx.doi.org/10.15373/22778179/may2014/37.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Yu, Hengjun, Kohei Inoue, Kenji Hara, and Kiichi Urahama. "A Robust K-Means for Document Clustering." Journal of the Institute of Industrial Applications Engineers 6, no. 2 (April 25, 2018): 60–65. http://dx.doi.org/10.12792/jiiae.6.60.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Susilowati, Bekti Endar, and Pardomuan Robinson Sihombing. "Metode ROBPCA (Robust Principal Component Analysis) dan Clara (Clustering Large Area) pada Data dengan Outlier." Jurnal Ilmu Komputer 13, no. 2 (September 28, 2020): 11. http://dx.doi.org/10.24843/jik.2020.v13.i02.p04.

Full text

Abstract:

Principal Component Analysis (PCA) merupakan salah satu analisis multivariat yang digunakan untuk mengganti variable dengan Principal Component yang sedikit jumlahnya namun tidak terlalu banyak informasi yang hilang. Atau dengan kata lain, it used to explain the underlying variance-covariance structure of the large data set of variables through a few linear combination of these variables. PCA sangat dipengaruhi oleh kehadiran outlier karena didasarkan pada matriks kovarian yang sensitive terhadap outlier. Oleh karena itu, pada analisis ini akan digunakan PCA yang robust terhadap outlier yaitu ROBPCA atau PCA Hubert. Selanjutnya, dari Principal Component yang terbentuk digunakan sebagai input (masukan) untuk cluster analysis dengan metode Clara (Clustering Large Area). Clustering Large Area merupakan salah satu metode k-medoids yang robust terhadap outlier dan baik digunakan pada data dalam jumlah besar. Dalam studi kasus terhadap variabel penyusun indeks kebahagiaan berdasarkan The World Happiness Report 2018 dengan metode Clara yang menggunakan jarak manhattan didapatkan nilai rata-rata Overall Average Silhouette Width yang terbaik pada 5 cluster.

APA, Harvard, Vancouver, ISO, and other styles

15

R. Bornstein. "Professor Alan Robock." Environmental Software 1, no. 2 (September 1986): 132–35. http://dx.doi.org/10.1016/0266-9838(86)90015-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Li Lin, Yu, Chien Lung Hsu, and Yu Hao Chuang. "A Robust Time-Bound Hierarchical Key Assignment Scheme." International Journal of Future Computer and Communication 3, no. 5 (October 2014): 337–40. http://dx.doi.org/10.7763/ijfcc.2014.v3.322.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Yao Tingting, 姚婷婷, 张波 Zhang Bo, 李鹏飞 Li Pengfei, and 柳晓鸣 Liu Xiaoming. "基于鲁棒背景估计的船舶显著性检测." Laser & Optoelectronics Progress 59, no. 8 (2022): 0810008. http://dx.doi.org/10.3788/lop202259.0810008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Peresada, S., S. Bozhko, S. Kovbasa, and Ye Nikonenko. "ROBUST DIRECT FIELD ORIENTED CONTROL OF INDUCTION GENERATOR." Tekhnichna Elektrodynamika 2021, no. 4 (June 17, 2021): 14–24. http://dx.doi.org/10.15407/techned2021.04.014.

Full text

Abstract:

A novel and robust field oriented vector control method for standalone induction generators (IG) is presented. The proposed controller exploits the concept of direct field orientation and provides asymptotic rotor flux modulus and DC-link voltage regulations when a DC-load is constant or slowly varying. Flux subsystem, designed using Lyapunov’s second method, has, in contrast to standard structures, closed loop properties and therefore is robust with respect to rotor resistance variations. A decomposition approach on the base of the two-time scale separation of the voltage and torque current dynamics is used for design of the voltage subsystem. The feedback linearizing voltage controller is designed using a steady state IG power balance equation. The resulting quasi-linear dynamics of the voltage control loop allows use of simple controllers tuning procedure and provides an improved dynamic performance for variable speed and flux operation. Results of a comparative experimental study with standard indirect field oriented control are presented. In contrast to existing solutions, the designed controller provides system performances stabilization when speed and flux are varying. It is experimentally shown that a robust field oriented controller ensures robust flux regulation and robust stabilization of the torque current dynamics leading to improved energy efficiency of the electromechanical conversion process. The proposed controller is suitable for energy generation systems with variable speed operation. References 18, figures 8.

APA, Harvard, Vancouver, ISO, and other styles

19

Jiang, H., K. Huang, T. Mu, R. Zhang, T. O. Ting, and C. Wang. "Robust One-Shot Facial Expression Recognition with Sunglasses." International Journal of Machine Learning and Computing 6, no. 2 (April 2016): 80–86. http://dx.doi.org/10.18178/ijmlc.2016.6.2.577.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Jeong, Seok Kwon, and Tae Eun Kwon. "Robust Linear Quadratic Gaussian Controller Design for Oil Coolers Based on a State Space Model." Korean Journal of Air-Conditioning and Refrigeration Engineering 31, no. 3 (March 31, 2019): 130–39. http://dx.doi.org/10.6110/kjacr.2019.31.3.130.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Rongli Liu, Rongli Liu, and Zhongliang Jing Zhongliang Jing. "Robust kernel-based tracking algorithm with background contrasting." Chinese Optics Letters 10, no. 2 (2012): 021001–21003. http://dx.doi.org/10.3788/col201210.021001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Farmanullah Jan, Farmanullah Jan, Imran Usman Imran Usman, and Shahid A. Khan Shahid A. Khan. "Robust iris biometric system for visible wavelength data." Chinese Optics Letters 11, no. 8 (2013): 081501–81507. http://dx.doi.org/10.3788/col201311.081501.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Korobov, V. I., and T. V. Revina. "On Robust Feedback for Systems with Multidimensional Control." Zurnal matematiceskoj fiziki, analiza, geometrii 13, no. 1 (March 25, 2017): 35–56. http://dx.doi.org/10.15407/mag13.01.035.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Ahamed, Bulbul, Rasel Ahmed, Khaled Mahmud, and Mohammad Nurul Huda. "Robust Phoneme Recognizer at Noise Corrupted Acoustic Environment." Scholars Journal of Engineering and Technology 4, no. 7 (July 2016): 308–11. http://dx.doi.org/10.21276/sjet.2016.4.7.3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Jung, Kang-Mo. "Robust Algorithm for Multiclass Weighted Support Vector Machine." SIJ Transactions on Advances in Space Research & Earth Exploration 4, no. 3 (June 10, 2016): 1–5. http://dx.doi.org/10.9756/sijasree/v4i3/0203430402.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Prabhjot, Kaur, Lamba I. M. S, and Gosain Anjana. "DOFCM: A Robust Clustering Technique Based upon Density." International Journal of Engineering and Technology 3, no. 3 (2011): 297–303. http://dx.doi.org/10.7763/ijet.2011.v3.241.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Ghaib, Zainab, and Ebtesam N. AlShemmary. "A Robust Segmentation of Non-ideal Iris Images." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (October 31, 2019): 99–103. http://dx.doi.org/10.5373/jardcs/v11i10/20193011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Ningrum, Ika Purwanti, Agus Harjoko, and Munakhir Mudjosemedi. "Robust Cephalometric Landmark Identification on Cephalometric Downs Analysis." International Journal of Computer and Electrical Engineering 6, no. 2 (2014): 172–75. http://dx.doi.org/10.7763/ijcee.2014.v6.816.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

SALIM, Nurul Dayana, Dafizal DERAWI, Hairi ZAMZURI, Yang YI, Kenzo NONAMI, and Daisuke IWAKURA. "A212 Robust LQR Attitude Control of Hexarotor UAVs." Proceedings of the Symposium on the Motion and Vibration Control 2015.14 (2015): 251–56. http://dx.doi.org/10.1299/jsmemovic.2015.14.251.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Liu Fei, 刘飞, 黄瀚霖 Huang Hanlin, 杨恬 Yang Tian, 李文博 Li Wenbo, and 杨炀 Yang Yang. "面向狭窄场景的鲁棒多视角配准方法." Infrared and Laser Engineering 51, no. 12 (2022): 20220114. http://dx.doi.org/10.3788/irla20220114.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Nashed, Maged N. F., Mona Eskander, and Adel M. Sharaf Life. "A Stand Alone Robust PV-FC-Electrolyzer Utilization Scheme." International Journal of Engineering Research 4, no. 3 (March 1, 2015): 145–50. http://dx.doi.org/10.17950/ijer/v4s3/314.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Hong, Phuc Nguyen, Musrrat Ali, and Chang Wook Ahn. "Robust Stereo Matching Method for Radiometric Distortion between Images." International Journal of Computer and Electrical Engineering 7, no. 2 (2015): 82–90. http://dx.doi.org/10.17706/ijcee.2015.v7.874.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Goloveshkin, Alexey V., and Stanislav S. Mikhalkovich. "Robust algorithmic binding to arbitrary fragment of program code." Program Systems: Theory and Applications 13, no. 1 (February 19, 2022): 35–62. http://dx.doi.org/10.25209/2079-3316-2022-13-1-35-62.

Full text

Abstract:

When solving a task, a programmer actively interacts with a finite set of code fragments. The information about their locations is important for quick navigation, for other developers, and as a kind of documentation. Integrated development environments (IDEs) provide tools for marking code fragments with labels, displaying lists of labels, and using these labels for quick navigation. However, they often lose the correspondence between the label and the marked place when the code is edited, in particular when changes are made outside the IDE. In previous works, the authors propose a tool to be integrated into various IDEs for “binding” to large syntactic entities of a program and building a markup that is robust to code editing. The description of the marked element is built on the basis of the abstract syntax tree (AST) of the program. Later it is used to algorithmically search for the element in an edited code. The search has a success rate from 99 to 100%. This article aims at robust algorithmic binding to an arbitrary section of the code. For binding to a single-line code fragment, we propose an extension of the model describing the marked fragment, and an additional search algorithm. We also propose an algorithm for embedding nodes corresponding to multi-line fragments in an AST. We show that the correctness of the AST is not violated by these embeddings. Bindings to randomly selected lines were made in the code of three large C# projects. Manual check of these lines search results in the edited code has confirmed that the bindings are robust to code editing.

APA, Harvard, Vancouver, ISO, and other styles

34

Mhalla, Anis, Mohanned Gaied, and Dimitri Lefebre. "Robust control strategies facing disturbances in Railway Transport Networks." Indian Journal of Science and Technology 14, no. 42 (November 10, 2021): 3133–43. http://dx.doi.org/10.17485/ijst/v14i42.1181.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Bongulwar, Deepali M., and S. N. Talbar. "Robust Convolutional Neural Network Model For Recognition of Fruits." Indian Journal of Science and Technology 14, no. 45 (December 5, 2021): 3318–34. http://dx.doi.org/10.17485/ijst/v14i45.1493.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Priyanka, R., and S. Ramadevi. "A Hyperbolic PDE-ODE System with Delay-Robust Stabilization." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 1988–90. http://dx.doi.org/10.31142/ijtsrd17157.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Sano, Natsuki, Hideo Suzuki, and Masato Koda. "A ROBUST ENSEMBLE LEARNING USING ZERO-ONE LOSS FUNCTION." Journal of the Operations Research Society of Japan 51, no. 1 (2008): 95–110. http://dx.doi.org/10.15807/jorsj.51.95.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Bose, Smarajit, Amita Pal, Anish Mukherjee, and Debasmita Das. "Robust Speaker Identification Using Fusion of Features and Classifiers." International Journal of Machine Learning and Computing 7, no. 5 (October 2017): 133–38. http://dx.doi.org/10.18178/ijmlc.2017.7.5.635.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Jianfang Dou, Jianfang Dou, and Jianxun Li Jianxun Li. "Robust image matching based on SIFT and delaunay triangulation." Chinese Optics Letters 10, s1 (2012): S11001–311005. http://dx.doi.org/10.3788/col201210.s11001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Dongshan Jiang, Dongshan Jiang, Faxiang Zhang Faxiang Zhang, Wentao Zhang Wentao Zhang, Feng Li Feng Li, and Fang Li Fang Li. "Robust 3-component optical fiber accelerometer for seismic monitoring." Chinese Optics Letters 11, no. 2 (2013): 020602–20605. http://dx.doi.org/10.3788/col201311.020602.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Huang, Guoheng, and Chi-Man Pun. "Robust Interactive Segmentation Using Color Histogram and Contourlet Transform." International Journal of Computer Theory and Engineering 7, no. 6 (December 2015): 489–94. http://dx.doi.org/10.7763/ijcte.2015.v7.1007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Hamdan, Yasir B., and Samah O. Altayeb. "Robust Stability of Networked Control Systems with Communication Constraints." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 388–93. http://dx.doi.org/10.7763/ijcce.2014.v3.355.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

OLIINYK, VIACHESLAV, and VOLODYMYR LUKIN. "USE OF SIMILARITY METRICS IN ROBUST TIME DELAY ESTIMATION." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (April 27, 2023): 224–30. http://dx.doi.org/10.31891/2307-5732-2023-319-1-224-230.

Full text

Abstract:

This paper addresses the task of time delay and direction of arrival estimation for a source of the wideband signal using two sensors with fixed displacement. The peculiarity of the task statement is that a limited time of signal observation is supposed and additive noise is assumed non-Gaussian with a heavy-tail distribution. This leads to a high probability of abnormal estimates for the conventional signal processing method based on cross-correlation. To decrease this probability, it is proposed to reformulate the task of cross-correlation processing to the task of similarity estimation between two data arrays. This allows using different similarity metrics, particularly those that have less sensitivity to outliers in data (impulse noise), and, thus, provide better robustness for non-Gaussian environments typical for several applications of time delay estimation. More than ten different similarity metrics are considered for the model of the symmetric α-stable distribution describing noise properties. It is shown that some metrics including cosine distance, Hellinger, and some others are able to provide sufficiently better accuracy of time delay estimation both in the sense of less RMSE of normal estimates and probability of abnormal estimates for typical values of α and a wide range of γ values for symmetric α-stable distribution.

APA, Harvard, Vancouver, ISO, and other styles

44

Muthukrishnan, R., and S. Kalaivani. "Robust Weighted Support Vector Regression Approach for Predictive Modeling." Indian Journal Of Science And Technology 16, no. 30 (August 14, 2023): 2287–96. http://dx.doi.org/10.17485/ijst/v16i30.1180.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Samaniego, Angel. "CAPM-alpha estimation with robust regression vs. linear regression." Análisis Económico 38, no. 97 (January 20, 2023): 27–37. http://dx.doi.org/10.24275/uam/azc/dcsh/ae/2022v38n97/samaniego.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Reddy, Chappidi Sree Teja, and Geetha Ramalingam. "Analysis and Comparison of Accuracy in Brain Tumor using Berkeley Wavelet Transform and Robust Principal Component Analysis." E3S Web of Conferences 477 (2024): 00082. http://dx.doi.org/10.1051/e3sconf/202447700082.

Full text

Abstract:

The main objective of this study is to compare Berkeley wavelet transform (BWT) and robust principal component analysis (ROBPCA) techniques in tumor analysis to improve the accuracy of image processing. Based on the sample sizes of BWT (N=16) and ROBPCA (N=16), tumor MR pictures of various brain tumor illnesses have been gathered. Image segmentation has been finished, and textural features have been retrieved using image processing methods. The accuracy and sensitivity of the parameter are taken into consideration by both organizations when evaluating tumor detection and evaluation. The sample size for each group could be determined by maintaining the enrollment ratio at 1, the threshold alpha at 0.05, the g power at 80%, and the confidence interval at 95%. The absence of a statistically significant difference (p = 0.182) between the two groups was verified using an Independent Sample T-test. The accuracy numbers in BWT are 81.5%, while 84% is the accuracy value in ROBPCA. When it comes to brain tumor detection and analysis, ROBPCA has performed well when compared to BWT.

APA, Harvard, Vancouver, ISO, and other styles

47

Hamzenejad, Ali, Saeid Jafarzadeh Ghoushchi, and Vahid Baradaran. "Clustering of Brain Tumor Based on Analysis of MRI Images Using Robust Principal Component Analysis (ROBPCA) Algorithm." BioMed Research International 2021 (August 31, 2021): 1–11. http://dx.doi.org/10.1155/2021/5516819.

Full text

Abstract:

Automated detection of brain tumor location is essential for both medical and analytical uses. In this paper, we clustered brain MRI images to detect tumor location. To obtain perfect results, we presented an unsupervised robust PCA algorithm to clustered images. The proposed method clusters brain MR image pixels to four leverages. The algorithm is implemented for five brain diseases such as glioma, Huntington, meningioma, Pick, and Alzheimer’s. We used ten images of each disease to validate the optimal identification rate. According to the results obtained, 2% of the data in the bad leverage part of the image were determined, which acceptably discerned the tumor. Results show that this method has the potential to detect tumor location for brain disease with high sensitivity. Moreover, results show that the method for the Glioma images has approximately better results than others. However, according to the ROC curve for all selected diseases, the present method can find lesion location.

APA, Harvard, Vancouver, ISO, and other styles

48

Richard, Patrick. "Robust heteroskedasticity-robust tests." Economics Letters 159 (October 2017): 28–32. http://dx.doi.org/10.1016/j.econlet.2017.07.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Vaswani, Namrata, Thierry Bouwmans, Sajid Javed, and Praneeth Narayanamurthy. "Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery." IEEE Signal Processing Magazine 35, no. 4 (July 2018): 32–55. http://dx.doi.org/10.1109/msp.2018.2826566.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Wang, Wu, Jinxu Tao, Weiquan Ye, Yongjun Jiang, and Zhongfu Ye. "Robust Object Tracking via Multi-block and Sparsity-Based Representation." International Journal of Knowledge Engineering-IACSIT 1, no. 1 (2015): 72–77. http://dx.doi.org/10.7763/ijke.2015.v1.13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!