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Journal articles on the topic 'Robuck'

Author: Grafiati

Published: 27 July 2024

Last updated: 31 July 2025

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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 (2021): 67–76. http://dx.doi.org/10.46306/bay.v1i1.7.

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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 ko

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2

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

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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 (2013): 2410–18. http://dx.doi.org/10.1093/bioinformatics/btt433.

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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 (2016): 177–204. http://dx.doi.org/10.1002/smr.1771.

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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 (2013): 131–38. http://dx.doi.org/10.1016/j.irbm.2013.01.013.

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6

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

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7

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 (2014): 1. http://dx.doi.org/10.24843/mtk.2013.v02.i04.p050.

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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

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8

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

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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 (2012): 45–50. http://dx.doi.org/10.30598/barekengvol6iss2pp45-50.

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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 di

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10

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

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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.

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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 (2012): 113–17. http://dx.doi.org/10.15373/22778179/may2014/37.

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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 (2018): 60–65. http://dx.doi.org/10.12792/jiiae.6.60.

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14

Das, Sreelekshmi, and Reeba R. "Robust Exemplar based Object Removal in Video." International Journal of Scientific Engineering and Research 1, no. 2 (2013): 65–69. https://doi.org/10.70729/4131002.

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15

Ramesh Babu, Sri. "Promoting a Robust Endocrine System via Varmam." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 550–51. http://dx.doi.org/10.21275/sr231208060052.

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16

Sun, Rui, Yi Ding, Jingjing Cheng, Jian Pan, Jiekai Zhuo, and Xiaoqun Yuan. "Robust two-step Fourier single-pixel imaging." Chinese Optics Letters 23, no. 3 (2025): 031102. https://doi.org/10.3788/col202523.031102.

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17

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 (2020): 11. http://dx.doi.org/10.24843/jik.2020.v13.i02.p04.

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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

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18

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

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19

Salsabilla Firdaus and Sutawanir Darwis. "Deteksi Kerusakan Bearing Menggunakan Metode Robust Principal Component Analysis (ROB PCA)." Bandung Conference Series: Statistics 5, no. 1 (2025): 43–50. https://doi.org/10.29313/bcss.v5i1.16636.

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ABSTRACT. Bearings have an important role, because bearings are part of a machine element that if it has good health, the machine element can work properly. In this paper, bearing damage detection was carried out using the Principal Component Analysis (PCA) method and its development method, the Robust Principal Component Analysis (ROB PCA) method using the main monitoring index, namely the Squared Prediction Error (SPE). The purpose of this paper is to compare the main principal component method (PCA) and the main Robust Principal Component method (ROB PCA) on bearing vibration data for beari

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20

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 (2014): 337–40. http://dx.doi.org/10.7763/ijfcc.2014.v3.322.

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21

Yao Tingting, 姚婷婷, 张波 Zhang Bo, 李鹏飞 Li Pengfei та 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, № 8 (2022): 0810008. http://dx.doi.org/10.3788/lop202259.0810008.

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22

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

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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 d

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23

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 (2016): 80–86. http://dx.doi.org/10.18178/ijmlc.2016.6.2.577.

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24

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 (2019): 130–39. http://dx.doi.org/10.6110/kjacr.2019.31.3.130.

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25

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.

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26

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.

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27

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

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28

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 (2016): 308–11. http://dx.doi.org/10.21276/sjet.2016.4.7.3.

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29

Reddy Proddutoori, Apoorva. "Robust Decoder Hardware System Improvements for Tuned Predictions." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 1755–57. http://dx.doi.org/10.21275/sr241023062322.

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30

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

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31

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.

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32

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 (2019): 99–103. http://dx.doi.org/10.5373/jardcs/v11i10/20193011.

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33

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.

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34

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.

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35

Liu Fei, 刘飞, 黄瀚霖 Huang Hanlin, 杨恬 Yang Tian, 李文博 Li Wenbo та 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, № 12 (2022): 20220114. http://dx.doi.org/10.3788/irla20220114.

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36

Chandane, Miss P. B., and Mrs S. G. Joshi. "A Statistical Robust Glaucoma Detection Using Fundus Images." International Journal of Research Publication and Reviews 6, no. 4 (2025): 9839–43. https://doi.org/10.55248/gengpi.6.0425.1590.

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37

Sun Shuo, 孙硕, та 杨仕友 Yang Shiyou. "考虑光伏出力不确定性的分布鲁棒优化调度方法". Laser & Optoelectronics Progress 62, № 9 (2025): 0925001. https://doi.org/10.3788/lop241935.

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38

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.

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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

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39

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 (2015): 145–50. http://dx.doi.org/10.17950/ijer/v4s3/314.

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40

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.

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41

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

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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

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42

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 (2021): 3133–43. http://dx.doi.org/10.17485/ijst/v14i42.1181.

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43

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 (2021): 3318–34. http://dx.doi.org/10.17485/ijst/v14i45.1493.

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44

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 (2018): 1988–90. http://dx.doi.org/10.31142/ijtsrd17157.

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45

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.

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46

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 (2017): 133–38. http://dx.doi.org/10.18178/ijmlc.2017.7.5.635.

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47

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.

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48

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.

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49

Davidson, G. Paul, D. Ravindran, V. Jude Nirmal, and R. Anne Pratheeba. "Hierarchical Attention and Contextual Embedding for Robust Sarcasm Detection." Indian Journal Of Science And Technology 17, no. 40 (2024): 4243–49. http://dx.doi.org/10.17485/ijst/v17i40.2682.

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Objective: The study aims to develop a technique for sarcasm detection in social media text to enrich the sentiment analysis. Methods: The methodology used in the present research is as follows: emotion-embedded vectors for capturing the emotional content of the text, dynamic contextual modulation for the adaption of the model to the given context, and Hierarchical attention mechanism for segmentation of the text at the different level of abstraction. Findings: Evaluation with the test set proved that the proposed model achieved accuracy rates 89% higher than the benchmark models. Including th

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Reddy Basireddy, Maheswara. "Leveraging Python AI for Robust Performance and Load Testing." International Journal of Science and Research (IJSR) 9, no. 10 (2020): 1790–93. http://dx.doi.org/10.21275/sr24522135350.

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