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Relevant bibliographies by topics / Huang Classification

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Academic literature on the topic 'Huang Classification'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Huang Classification"

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Choi, Seung-Kwon, Jeong Woo Lee, Seung Il Jung, et al. "Mortality and Risk Factors for Emphysematous Pyelonephritis in Korea: A Multicenter Retrospective Cohort Study." Urogenital Tract Infection 20, no. 1 (2025): 34–41. https://doi.org/10.14777/uti.2550006003.

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Purpose: Emphysematous pyelonephritis (EPN) is a life-threatening disease requiring immediate treatment. This multicenter retrospective cohort study aimed to analyze the mortality rate and risk factors associated with EPN.Materials and Methods: Between January 2011 and February 2021, 217 patients diagnosed with EPN via computed tomography who visited 14 teaching hospitals were retrospectively analyzed. Clinical data, including age, sex, comorbidities, Huang and Tseng classification, hydronephrosis, acute kidney injury, blood and urine tests, surgical interventions, percutaneous drainage, and c

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Oweis, Rami J., and Enas W. Abdulhay. "Seizure classification in EEG signals utilizing Hilbert-Huang transform." BioMedical Engineering OnLine 10, no. 1 (2011): 38. http://dx.doi.org/10.1186/1475-925x-10-38.

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Wan, Siti Nur Shafiqa Wan Musa, Ibrahim Shapiai Mohd, Fauzi Hilman, and Firzah Abdul Aziz Aznida. "Vascular dementia classification based on hilbert huang transform as feature extractor." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 968–74. https://doi.org/10.11591/ijeecs.v17.i2.pp968-974.

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Impairment of cognitive and working memory after stroke was common. Vascular dementia (VaD) was a prevalent type of dementia that was caused by an impaired blood supply to the brain because of a series of small strokes. Electroencephalogram (EEG) gives information about brain status and activity, so it had a lot of potential to be used in diagnosing people with dementia. Since the EEG signal is extremely non-linear and non-stationary data, traditional Fourier analysis such as Fast Fourier Transform (FFT) that broadens sinusoidal signals cannot describe the amplitude contribution of each freque

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Balodi, Mamta, Hua-Lin Huang, and Shiv Datt Kumar. "On the classification of finite quasi-quantum groups." Reviews in Mathematical Physics 29, no. 10 (2017): 1730003. http://dx.doi.org/10.1142/s0129055x17300035.

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We give an overview of the classification results obtained so far for finite quasi-quantum groups over an algebraically closed field of characteristic zero. The main classification results on basic quasi-Hopf algebras are obtained by Etingof, Gelaki, Nikshych, and Ostrik, and on dual quasi-Hopf algebras by Huang, Liu and Ye. The objective of this survey is to help in understanding the tools and methods used for the classification.

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Tang, Tianyao. "Classification of ECG Signals Based on Hilbert-Huang Transform and 1D Convolution Neural Network." Advances in Engineering Technology Research 10, no. 1 (2024): 695. http://dx.doi.org/10.56028/aetr.10.1.695.2024.

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Arrhythmia is a common phenomenon in cardiovascular diseases and its accurate diagnosis typically relies on a thorough analysis of electrocardiogram (ECG). Therefore, accurate identification and classification of ECG signals play a crucial role in the effective treatment of cardiac diseases. In this study, we propose a deep learning model based on Hilbert-Huang Transform (HHT) and one-dimensional convolutional neural network (1D-CNN), aiming to enhance the accuracy of ECG signal classification. Specifically, we first perform time-frequency analysis and feature extraction of the signal using th

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Angrisani, Leopoldo, Francesco Bonavolontà, Annalisa Liccardo, and Rosario Schiano Lo Moriello. "Identification and classification of transformers current transients through Huang Hilbert Transform." Measurement 125 (September 2018): 123–32. http://dx.doi.org/10.1016/j.measurement.2018.04.080.

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Karakas, Hakkı Muammer, Tayfun Celik, and Banu Alicioglu. "Bile duct anatomy of the Anatolian Caucasian population: Huang classification revisited." Surgical and Radiologic Anatomy 30, no. 7 (2008): 539–45. http://dx.doi.org/10.1007/s00276-008-0365-y.

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Shafiqa Wan Musa, Wan Siti Nur, Mohd Ibrahim Shapiai, Hilman Fauzi, and Aznida Firzah Abdul Aziz. "Vascular dementia classification based on hilbert huang transform as feature extractor." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2 (2020): 968. http://dx.doi.org/10.11591/ijeecs.v17.i2.pp968-974.

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<a name="_Hlk14121907"></a><span lang="EN-MY">Impairment of cognitive and working memory after stroke was common. Vascular dementia (VaD) was a prevalent type of dementia that was caused by an impaired blood supply to the brain </span><span lang="EN">because of a series of small strokes. </span><span lang="EN-MY">Electroencephalogram (EEG) gives information about brain status and activity, so it had a lot of potential to be used in diagnosing people with dementia. </span><span lang="EN">Since the EEG signal is extremely non-linear and non-s

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Hu, Gang, Kejun Wang, Yuan Peng, Mengran Qiu, Jianfei Shi, and Liangliang Liu. "Deep Learning Methods for Underwater Target Feature Extraction and Recognition." Computational Intelligence and Neuroscience 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/1214301.

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The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction. In this paper, a method for feature extraction and identification of underwater noise data based on CNN and ELM is proposed. An automatic feature extraction method of underwater acoustic signals is proposed using depth convolution network. An underwater target

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Baltrak, Yusuf Atakan, M. Sabri Medişoğlu, Çolak Tuncay, Yalnız Ahmet, Çam İsa, and Sezikli Mesut. "Investigation of Biliary Canal Variations as a Cause of Stone Formation in the Choledochal Canal." Tropical Health and Medical Research 2, no. 2 (2020): 77–85. http://dx.doi.org/10.35916/thmr.v0i0.18.

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The present study aimed to investigate if there is an association between the diameter of the choledochal duct and choledochal duct stone formation. The present study consisted of 79 patients who had endoscopic interventions and MRCP procedure with surgery history. Some followed due to disorders of the liver, gall bladder, and biliary tract and some of whom presented hepatobiliary complaints between 2017 and 2019. The choledochal duct diameter measured from MRCP images and choledochal duct stone had examined; the type classified according to Huang classification. Among the cases classified, 29

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Dissertations / Theses on the topic "Huang Classification"

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Huang, Xiaoluo [Verfasser], та Thorsten [Akademischer Betreuer] Mascher. "Classification and functional characterization of extracytoplasmic function (ECF) σ factors from planctomycetes and actinobacteria / Xiaoluo Huang. Betreuer: Thorsten Mascher". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015. http://d-nb.info/1076981119/34.

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Hamdi, Seif Eddine. "Contribution au traitement du signal pour le contrôle de santé in situ de structures composites : application au suivi de température et à l’analyse des signaux d’émission acoustique." Thesis, Le Mans, 2012. http://www.theses.fr/2012LEMA1017/document.

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Le contrôle de santé structural ou Structural Health Monitoring (SHM) des matériaux constitue une démarche fondamentale pour la maîtrise de la durabilité et de la fiabilité des structures en service. Au-delà des enjeux industriels et humains qui ne cessent de s’accroître en termes de sécurité et de fiabilité, le contrôle de santé doit faire face à des exigences de plus en plus élaborées. Les nouvelles stratégies de contrôle de santé doivent non seulement détecter et identifier l’endommagement mais aussi quantifier les différents phénomènes qui en sont responsables. Pour atteindre cet objectif,

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Hamdi, Seif Eddine. "Contribution au traitement du signal pour le contrôle de santé in situ de structures composites : application au suivi de température et à l'analyse des signaux d'émission acoustique." Phd thesis, Université du Maine, 2012. http://tel.archives-ouvertes.fr/tel-00770664.

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Le contrôle de santé structural ou Structural Health Monitoring (SHM) des matériaux constitue une démarche fondamentale pour la maîtrise de la durabilité et de la fiabilité des structures en service. Au-delà des enjeux industriels et humains qui ne cessent de s'accroître en termes de sécurité et de fiabilité, le contrôle de santé doit faire face à des exigences de plus en plus élaborées. Les nouvelles stratégies de contrôle de santé doivent non seulement détecter et identifier l'endommagement mais aussi quantifier les différents phénomènes qui en sont responsables. Pour atteindre cet objectif,

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Duong, Duc Hieu, Thi Thu Nga Bui, Thi Diem Thuy Tran, Thi Minh Phuong Nguyen, Huu Hung Nguyen, and Vu Thanh Nguyen. "Analysing the characteristics of soil nematode communities at pepper (Piper nigrum L.) cultivation area in Loc Hung commune, Loc Ninh district, Binh Phuoc province." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-99484.

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Pepper (Piper nigrum L.) is a high economic value plant species that brings the main income to the people at Loc Hung commune. So the pepper’s yield plays a significant role in people’s life in this region. To assess the influence of environmental factors on the growth and development of pepper, we need to analyse the structural characteristics of soil nematode communities in order to promptly detect the levels of parasitic nematodes infection as well as assessment of soil environment status based on nematode communities. Study results at five sampling stations are analyses of 30 genera of nem

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Phan, Thi Phuong, Thi Thao Trang Pham, Khanh Linh Nguyen, et al. "The impacts of lead recycling activities to human health and environment in Dong Mai craft village, Hung Yen, Vietnam." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A32634.

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Lead (Pb) recycling activities in Dong Mai village, Chi Dao commune, Van Lam district, Hung Yen province have been taking place for more than 30 years. The development of recycling activities contributed to the improvement of the local economics. However, along with economic development, Dong Mai craft village is facing to serious pollution. Soil, air and water polluted by lead (Pb) caused food containing Pb at higher levels than allowed limit from 20 to 40 times. The pollution had the bad effect on human health in this village. The investigation results showed that 100 % of employee who parti

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Chu, Thi Thu Ha. "Survey on heavy metals contaminated soils in Thai Nguyen and Hung Yen provinces in Northern Vietnam." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88569.

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In Vietnam, soil contamination with lead and cadmium at very high level was investigated anddiscovered in the surrounding areas of zinc-lead mining and processing factory in Tan Long (Dong Hy district, Thai Nguyen province) and around the lead-recycling smelter in Chi Dao (Van Lam district, Hung Yen province). The survey on soil contaminated by arsenic due to the tin mining and sifting activities in Ha Thuong (Dai Tu district, Thai Nguyen province) was also carried out. In Tan Long, the concentrations of lead and cadmium in the old solid waste dump from zinc-lead factory varied from 1,100 to 1

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Pham, Thi Thao Trang, Thi Phuong Phan, Khanh Linh Nguyen, et al. "Status of heavy metal (Pb, Cd) pollution in agricultural soil in Dong Mai lead recycling craft village in Hung Yen, Vietnam." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A32639.

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The newly planned lead recycling zone in Dong Mai village has been operating with primary treatment systems using lime to neutralize acid in wastewater is a good sign for the local environment, yet the real problem that needs further attention and proper solutions is the accumulation of heavy metals typically lead (Pb) and cadmium (Cd) in agricultural land near the old Pb recycling area. In this context, 27 soil samples were collected and analyzed by AAS method to assess the situation and the quality of the agricultural soil. The results showed that the levels of Cd in the soil were still in a

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Yu, Sheng-Chih, and 游聲智. "Eagle Sound Classification Based on Hilbert Huang Transform Method." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vhgpry.

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碩士<br>國立臺灣海洋大學<br>電機工程學系<br>107<br>There are a variety of eagle’s species which can be recognized through feature analysis of their sound recordings. In this thesis, the two species of black hawk-eagle and black kite are chosen with their sounds to be analyzed to find the difference of sound features for recognition and classification. Research methods include the Hilbert-Huang transform and K-means clustering. To avoid erroneous decisions, the spectral subtraction method is initially used to eliminate background noise embedded in the sound recordings. Next, the Hilbert-Huang transform is util

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Lin, Wei-Ying, and 林威穎. "Otus Spilocephalus Sound Classification Based on Hilbert Huang Transform Method." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/w7x9uw.

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碩士<br>國立臺灣海洋大學<br>電機工程學系<br>107<br>There are eight subspecies of Otus spilocephalus, wherein Hambroecki and Latouchi perch relatively close with each other. Since there exists only slight difference in outlook, I decide to choose the sound recordings of these two subspecies to carry out analysis and classification. I hope that some contributions can be made to the relevant research fields. The sound sequences that are analyzed in the thesis are continuously rising with periodicity and double syllable whistle. It’s a way for Otus spilocephalus to communicate. First, the additive noise

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張秉驊. "Abnormal Vibration Diagnosis of a Ball Screw using Hilbert-Huang Transform and Spectral Classification." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/46370598360212653396.

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Books on the topic "Huang Classification"

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Hu, Xuhui. Encoding Events. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808466.001.0001.

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This book presents theoretical and empirical research on the syntax of events within the broader framework of generative grammar. A central theoretical concern is how conceptual meaning interacts with narrow syntactic computation in the derivation of the information of an event. A set of Integration Conditions are proposed. Building on the Conceptual-Intentional Interface Conditions proposed in Chomsky’s (1995, 2000, 2001) Minimalist Programme, the Integration Conditions require that the content of the predicate be licensed by theta-role information generated by narrow syntax. Another theoreti

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Smith, Cary Stacy, and Li-Ching Hung. Malignant Narcissism. Praeger, 2021. http://dx.doi.org/10.5040/9798400681820.

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In this book, a psychologist and a professor detail the history, psychology, and effects of this little-studied condition that has altered individuals and societies worldwide, arguing that the disorder deserves its own classification. Psychoanalyst Erich Fromm in 1964 developed the term “malignant narcissism,” believing it to be the worst form of psychopathology, a disorder that essentially epitomized evil. Malignant narcissism, however, has never been identified as a clinical condition in the Diagnostic and Statistical Manual of Mental Disorders; instead, it is seen as a conglomeration of sev

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Book chapters on the topic "Huang Classification"

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Jalaja, R., and B. Biswal. "Power Quality Event Classification Using Hilbert Huang Transform." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35314-7_18.

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Hubana, Tarik, Mirza Šarić, and Samir Avdaković. "Classification of Distribution Network Faults Using Hilbert-Huang Transform and Artificial Neural Network." In Advanced Technologies, Systems, and Applications III. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02574-8_10.

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Basak, Madhuchhanda, Diptadip Maiti, and Debashis Das. "Automated Seizure Detection from EEG Using Hilbert-Huang Transform and Autoencoder-Based Classification." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2697-7_7.

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Ghritlahare, Ravindra, Mridu Sahu, and Rahul Kumar. "Classification of Two-Class Motor Imagery EEG Signals Using Empirical Mode Decomposition and Hilbert–Huang Transformation." In Lecture Notes in Networks and Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7150-9_40.

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Jain, Shraddha, and Rajeev Srivastava. "Deep Learning for Cognitive Task and Seizure Classification with Hilbert–Huang Transform and Variational Mode Decomposition." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-4359-9_6.

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Islam, S. Nazrul. "Cordon approach to rivers." In Rivers and Sustainable Development. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190079024.003.0009.

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Chapter 9 presents the Cordon approach, describing its methods, reviewing its spread across the world, and analyzing its consequences. It discusses the general relationship between river channels and their floodplains and explains the nurturing functions that regular river inundations perform. The chapter then outlines the instruments of the Cordon approach, such as embankments, floodwalls, channelization, and canalization. It goes on to explain the relationship between the Cordon and the Polder approaches and offers a classification of cordons into different types. The chapter reviews the con

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V. S., Bharath, Miraclin F., Bhanu Priyanka, Bharath K. P., and Rajesh Kumar M. "Investigation of Epileptic Seizures and Sleep Disturbance." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8018-9.ch004.

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In this chapter, the authors make use of signal processing techniques and machine learning models to analyze the EEG signal. First, the EEG signal is broken down into the frequency sub-bands using a discrete wavelet transform (DWT). Then the kernel principle component analysis (KPCA) method is used to reduce the dimension of data. They input these extracted features into a neural network to find if the patient has an epileptic seizure or not. The results of the classification process due to artificial neural networks (ANN) are studied and analyzed. Also, to recognize the abnormal activities in

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Wapakabulo Thomas, Josephine. "Benefits, Classifications and Research Surrounding Standardization and IT Standards." In Advances in IT Standards and Standardization Research. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-832-1.ch002.

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Standards have been in existence since the beginning of recorded history. One of the earliest indications of a standard is the beginning of written alphabets by the Egyptians and Babylonians around 4000 BC (Krechmer, 1996). Another example of early standards effort is the work done by Shih Huang-Ti, the founder of the Chinese Empire, under whose reign the Great Wall was built. He enforced one law, one weight, and one measure to rule out discord and confusion between petty states. The standards proposed by the Chinese Emperor were used only for the construction of the Great Wall and are no long

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Yang, Bo. "Multimedia Representation." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch135.

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In recent years, the rapid expansion of multimedia applications, partly due to the exponential growth of the Internet, has proliferated over the daily life of computer users (Yang & Hurson, 2006). The integration of wireless communication, pervasive computing, and ubiquitous data processing with multimedia database systems has enabled the connection and fusion of distributed multimedia data sources. In addition, the emerging applications, such as smart classroom, digital library, habitat/environment surveillance, traffic monitoring, and battlefield sensing, have provided increasing motivat

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Conference papers on the topic "Huang Classification"

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Gadikota, Varun Reddy, and Nitish Kumar Gupta. "Hilbert-Huang Transform-Based Fault Detection and Classification in the Presence of Power Swings." In 2025 International Conference on Power Electronics Converters for Transportation and Energy Applications (PECTEA). IEEE, 2025. https://doi.org/10.1109/pectea61788.2025.11076492.

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Tanc, Yesim Hekim, and A. Akan. "Modulation classification by Hilbert-Huang Transform." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531183.

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Turan, M. A. Tuggtekin, and Engin Erzin. "Classification of ingestion sounds using Hilbert-huang transform." In 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, 2017. http://dx.doi.org/10.1109/siu.2017.7960505.

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Yi Li, Fan Yingle, Li Gu, and Tong Qinye. "Sleep stage classification based on EEG Hilbert-Huang transform." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138842.

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Drummond, C. F., and D. Sutanto. "Classification of Power Quality disturbances using the iterative Hilbert Huang Transform." In 2010 14th International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2010. http://dx.doi.org/10.1109/ichqp.2010.5625326.

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Kisa, Deniz Hande, Mehmet Akif Ozdemir, Onan Guren, and Aydin Akan. "Classification of Hand Gestures using sEMG Signals and Hilbert-Huang Transform." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909748.

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Zeng, Xiangyang, and Shuguang Wang. "Underwater sound classification based on Gammatone filter bank and Hilbert-Huang transform." In 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2014. http://dx.doi.org/10.1109/icspcc.2014.6986287.

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Fairchild, Dustin P., and Ram M. Narayanan. "Human activity classification using Hilbert-Huang transform analysis of radar Doppler data." In SPIE Defense, Security, and Sensing, edited by Kenneth I. Ranney and Armin W. Doerry. SPIE, 2011. http://dx.doi.org/10.1117/12.887348.

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Zan, Hasan, Abdulnasir Yildiz, and Mehmet Sirac Ozerdem. "Classification of EEG Signals Using Hilbert-Huang Transform-Based Deep Neural Networks." In 2019 4th International Conference on Computer Science and Engineering (UBMK). IEEE, 2019. http://dx.doi.org/10.1109/ubmk.2019.8907043.

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Nalband, Saif, C. A. Valliappan, Raag Gupta A. Amalin Prince, and Anita Agrawal. "Feature extraction and classification of knee joint disorders using Hilbert Huang transform." In 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2017. http://dx.doi.org/10.1109/ecticon.2017.8096224.

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