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Journal articles on the topic 'Huang Classification'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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3

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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4

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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Huang, Danwei, Roberto Arrigoni, Francesca Benzoni, et al. "Taxonomic classification of the reef coral family Lobophylliidae (Cnidaria: Anthozoa: Scleractinia)." Zoological Journal of the Linnean Society 178, no. 3 (2016): 436–81. https://doi.org/10.1111/zoj.12391.

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Huang, Danwei, Arrigoni, Roberto, Benzoni, Francesca, Fukami, Hironobu, Knowlton, Nancy, Smith, Nathan D., Stolarski, Jarosław, Chou, Loke Ming, Budd, Ann F. (2016): Taxonomic classification of the reef coral family Lobophylliidae (Cnidaria: Anthozoa: Scleractinia). Zoological Journal of the Linnean Society 178 (3): 436-481, DOI: 10.1111/zoj.12391, URL: https://academic.oup.com/zoolinnean/article-lookup/doi/10.1111/zoj.12391

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Wan Amirul Asraf, Wan Mohammad Noor, Razlina Abdul Rahman, Mohd Noor Norhayati, and Imran Ahmad. "A rare presentation of bilateral emphysematous pyelonephritis with concurrent lung abscess: A case report." Electronic Journal of General Medicine 20, no. 6 (2023): em537. http://dx.doi.org/10.29333/ejgm/13538.

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Bilateral emphysematous pyelonephritis (EPN) is a rare complication in uncontrolled diabetes mellitus patients and linked to a high patient mortality rate [1]. We present a case of a 62-year-old female patient with bilateral EPN who also developed a concurrent lung abscess. She came with high-grade fever, lethargy, and left flank pain. She had left lumbar tenderness and right-sided chest crepitations. Upon hospitalization, the patient developed septic shock. However, severity of her clinical presentation does not correlate with chest X-ray of right sided pneumonic changes and cavitation of the

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Huang, Ya-Yi, Scott A. Mori, and Lawrence M. Kelly. "Toward a phylogenetic-based Generic Classification of Neotropical Lecythidaceae- I. Status of Bertholletia, Corythophora, Eschweilera and Lecythis." Phytotaxa 203, no. 2 (2015): 85–121. https://doi.org/10.11646/phytotaxa.203.2.1.

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Huang, Ya-Yi, Mori, Scott A., Kelly, Lawrence M. (2015): Toward a phylogenetic-based Generic Classification of Neotropical Lecythidaceae- I. Status of Bertholletia, Corythophora, Eschweilera and Lecythis. Phytotaxa 203 (2): 85-121, DOI: 10.11646/phytotaxa.203.2.1, URL: http://dx.doi.org/10.11646/phytotaxa.203.2.1

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Guo, Ziyu. "Robot terrain classification based on improved Hilbert-Huang transform and long short-term memory network." Applied and Computational Engineering 95, no. 1 (2024): 49–56. http://dx.doi.org/10.54254/2755-2721/95/2024bj0060.

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Nowadays, with the rapid development of science and technology, the innovation and application of robot technology has become an important force to promote industrial development, which requires robots to have a high degree of autonomy and adaptability. Among them, terrain classification technology is one of the key technologies to achieve this goal. In order to improve the ground adaptability of robots in complex environments, this paper proposes a terrain classification algorithm based on improved Hilbert-Huang transform(HHT) combined with ensemble empirical mode decomposition(EEMD) and long

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Huang, Danwei, Francesca Benzoni, Hironobu Fukami, Nancy Knowlton, Nathan D. Smith, and Ann F. Budd. "Taxonomic classification of the reef coral families Merulinidae, Montastraeidae, and Diploastraeidae (Cnidaria: Anthozoa: Scleractinia)." Zoological Journal of the Linnean Society 171, no. 2 (2014): 277–355. https://doi.org/10.1111/zoj.12140.

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Huang, Danwei, Benzoni, Francesca, Fukami, Hironobu, Knowlton, Nancy, Smith, Nathan D., Budd, Ann F. (2014): Taxonomic classification of the reef coral families Merulinidae, Montastraeidae, and Diploastraeidae (Cnidaria: Anthozoa: Scleractinia). Zoological Journal of the Linnean Society 171 (2): 277-355, DOI: 10.1111/zoj.12140, URL: http://doi.wiley.com/10.1111/zoj.12140

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Huang, Chihan, and Xiaobo Shen. "HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3626–34. https://doi.org/10.1609/aaai.v39i4.32377.

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Deep hashing models have achieved great success in retrieval tasks due to their powerful representation and strong information compression capabilities. However, they inherit the vulnerability of deep neural networks to adversarial perturbations. Attackers can severely impact the retrieval capability of hashing models by adding subtle, carefully crafted adversarial perturbations to benign images, transforming them into adversarial images. Most existing adversarial attacks target image classification models, with few focusing on retrieval models. We propose HUANG, the first targeted adversarial

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Zhang, Xiaofei. "Blood Cell Signal Classification via Hilbert-Huang Transform Combined with Information Entropy." Journal of Information and Computational Science 11, no. 15 (2014): 5603–12. http://dx.doi.org/10.12733/jics20104799.

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Mori, Scott A., Nathan P. Smith, Ya-Yi Huang, Ghillean T. Prance, Lawrence M. Kelly, and Carol Carollo Matos. "Toward a Phylogenetic-based Generic Classification of Neotropical Lecythidaceae- II. Status of Allantoma, Cariniana, Couratari, Couroupita, Grias and Gustavia." Phytotaxa 203, no. 2 (2015): 122–37. https://doi.org/10.11646/phytotaxa.203.2.2.

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Mori, Scott A., Smith, Nathan P., Huang, Ya-Yi, Prance, Ghillean T., Kelly, Lawrence M., Matos, Carol Carollo (2015): Toward a Phylogenetic-based Generic Classification of Neotropical Lecythidaceae- II. Status of Allantoma, Cariniana, Couratari, Couroupita, Grias and Gustavia. Phytotaxa 203 (2): 122-137, DOI: 10.11646/phytotaxa.203.2.2, URL: http://dx.doi.org/10.11646/phytotaxa.203.2.2

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Biju, K. S., and M. G. Jibukumar. "CLASSIFICATION OF ICTAL EEG USING MODELING BASED SPECTRAL AND TEMPORAL FEATURES ON INSTANTANEOUS AMPLITUDE-FREQUENCY COMPONENTS OF IMFs." Biomedical Engineering: Applications, Basis and Communications 30, no. 06 (2018): 1850042. http://dx.doi.org/10.4015/s1016237218500424.

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In the present study, a method for classifying the different ictal stages in electroencephalogram (EEG) signals is proposed. The main symptoms of epilepsy are indicated by ictal activities, which trigger widespread neurological disorders other than stroke and thus affect the world population. In this work, a novel ictal classification method that combines the spectral and temporal features of twin components in Hilbert–Huang transform is proposed. Spectral features of instantaneous amplitude (IA) function are obtained based on the power spectral density of autoregressive (AR) modeling. Here fo

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Tang, Mo-Shih, Chi-Chu Tsai†, Yuen-Po Yang, Chiou-Rong Sheue, and Shih-Hui Liu. "A Multilocus Phylogeny of Daphniphyllum (Daphniphyllaceae)." Annals of the Missouri Botanical Garden 107 (April 20, 2022): 137–52. http://dx.doi.org/10.3417/2022623.

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The monogeneric Daphniphyllaceae contain 36 taxa in the genus Daphniphyllum Blume that are endemic to Southeast Asia. Daphniphyllum is a morphologically homogeneous group of evergreen shrubs to trees divided into three sections: Daphniphyllum, Lunata T. C. Huang, and Staminodia Hurusawa. While the medicinal value of the Daphniphyllaceae has been explored in many studies, the understanding of their evolutionary history and infrageneric classification is still limited. To test the infrageneric classification and to examine evolutionary and classification hypotheses proposed by previous taxonomic

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Liu, Xueyong, Mei Li, Wei Tang, Shichao Wang, and Xiong Wu. "A New Classification Method of Infrasound Events Using Hilbert-Huang Transform and Support Vector Machine." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/456818.

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Infrasound is a type of low frequency signal that occurs in nature and results from man-made events, typically ranging in frequency from 0.01 Hz to 20 Hz. In this paper, a classification method based on Hilbert-Huang transform (HHT) and support vector machine (SVM) is proposed to discriminate between three different natural events. The frequency spectrum characteristics of infrasound signals produced by different events, such as volcanoes, are unique, which lays the foundation for infrasound signal classification. First, the HHT method was used to extract the feature vectors of several kinds o

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Shen, Xue Li, and Ying Le Fan. "Sleep Stage Classification Based on EEG Signals by Using Improved Hilbert-Huang Transform." Applied Mechanics and Materials 138-139 (November 2011): 1096–101. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.1096.

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Research on automatic sleep staging based on EEG signals has a significant meaning for objective evaluation of sleep quality. An improved Hilbert-Huang transform method was applied to time-frequency analysis of non-stable EEG signals for the sleep staging in this paper. In order to settle the frequency overlapping problem of intrinsic mode function obtained from traditional HHT, wavelet package transform was introduced to bandwidth refinement of EEG before the empirical mode decomposition was conducted. This method improved the time-frequency resolution effectively. Then the intrinsic mode fun

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Li, Yijin, Jianhua Lin, Geng Niu, Ming Wu, and Xuteng Wei. "A Hilbert–Huang Transform-Based Adaptive Fault Detection and Classification Method for Microgrids." Energies 14, no. 16 (2021): 5040. http://dx.doi.org/10.3390/en14165040.

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Fault detection in microgrids is of great significance for power systems’ safety and stability. Due to the high penetration of distributed generations, fault characteristics become different from those of traditional fault detection. Thus, we propose a new fault detection and classification method for microgrids. Only current information is needed for the method. Hilbert–Huang Transform and sliding window strategy are used in fault characteristic extraction. The instantaneous phase difference of current high-frequency component is obtained as the fault characteristic. A self-adaptive threshold

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Manjula, M., and A. V. R. S. Sarma. "Classification of Voltage Sag Causes using Probabilistic Neural Network and Hilbert – Huang Transform." International Journal of Computer Applications 1, no. 20 (2010): 26–33. http://dx.doi.org/10.5120/427-630.

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Niu, Jixiang, Han Li, Zhenxiong Liu, Wei Liu, and Hejun Xu. "Robot Ground Media Classification Based on Hilbert–Huang Transform and Attention-Based Spatiotemporal Coupled Network." IET Signal Processing 2023 (October 23, 2023): 1–13. http://dx.doi.org/10.1049/2023/4721508.

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With the development of technology, mobile robots are increasingly deployed in real-world environments. To enable robots to work safely in a variety of terrain environments, we proposed a ground-type detection method based on the Hilbert–Huang transform (HHT) and attention-based spatiotemporal coupled network. Taking a dataset containing multiple sets of robot signals from a Kaggle competition as an example; we use the proposed method to classify the signals and thus achieve a terrain classification of the robot’s location. Firstly, the signal data were processed using the discrete wavelet tra

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Jurkonis, R., A. Janušauskas, V. Marozas, et al. "Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound." Scientific World Journal 2012 (2012): 1–6. http://dx.doi.org/10.1100/2012/870869.

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Algorithms and software were developed for analysis of B-scan ultrasonic signals acquired from commercial diagnostic ultrasound system. The algorithms process raw ultrasonic signals in backscattered spectrum domain, which is obtained using two time-frequency methods: short-time Fourier and Hilbert-Huang transformations. The signals from selected regions of eye tissues are characterized by parameters: B-scan envelope amplitude, approximated spectral slope, approximated spectral intercept, mean instantaneous frequency, mean instantaneous bandwidth, and parameters of Nakagami distribution charact

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Trigui, Omar, Wassim Zouch, and Mohamed Ben Messaoud. "Hilbert-Huang Transform and Welch's Method for Motor imagery based Brain Computer Interface." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 3 (2017): 47–68. http://dx.doi.org/10.4018/ijcini.2017070104.

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The features extraction is the main step in a Brain-Computer Interface (BCI) design. Its goal is to create features easy to be interpreted in order to produce the most accurate control commands. For this end, these features must include all the original signal characteristics. The generated brain's signals' non-stationary and nonlinearity constitute a limitation to the improvement of the performances of systems based on traditional signal processing such as Fourier Transform. This work deals with the comparison of features extraction between Hilbert-Huang Transform (HHT) and Welch's method for

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International, Journal of Medical Science and Innovative Research (IJMSIR). "An Observational Study on Evaluation of Intrahepatic Biliary Tree Anatomy and Its Variation by Magnetic Resonance Cholangiopancreatography." International Journal of Medical Science and Innovative Research (IJMSIR) 9, no. 5 (2024): 110–21. https://doi.org/10.5281/zenodo.15436429.

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<strong>Abstract</strong> <strong>Introduction:</strong> The biliary tree's complex anatomy with its intrahepatic and extrahepatic components presents numerous variations, necessitating a thorough understanding for successful hepatobiliary surgeries. Magnetic Resonance Cholangiopancreatography (MRCP) has emerged as a crucial non-invasive imaging technique for assessing pancreaticobiliary disorders, offering detailed anatomical visualization. <strong>Objectives</strong>: This study aimed to estimate the prevalence of various biliary tree variations and classify intrahepatic biliary tree variati

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FANTI, FABRIZIO. "Sanaungulus ruicheni (Hsiao & Huang, 2018) n. comb. with the differential diagnosis of genera Sanaungulus Fanti, Damgaard & Ellenberger, 2018 and Ornatomalthinus Poinar & Fanti, 2016." Zootaxa 4514, no. 3 (2018): 449. http://dx.doi.org/10.11646/zootaxa.4514.3.11.

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Recently, Hsiao & Huang (2018) presented a taxonomical revision of Ornatomalthinus Poinar & Fanti, 2016 based on the discovery of a new species (O. ruicheni) from the Cretaceous Burmese amber of the Hukawng Valley (Myanmar). According to the authors, this species shows many differences in respect to O. elvirae Poinar & Fanti, 2016. I propose that due to these morphological divergences the new species cannot belong to the genus Ornatomalthinus (type-species O. elvirae) as indicated by Hsiao & Huang (2018). The appearance is in fact identical to Sanaungulus Fanti, Damgaard &

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Zhou, Huan, Jianyun Chen, Manyuan Ye, Qincui Fu, and Song Li. "Transient Fault Signal Identification of AT Traction Network Based on Improved HHT and LSTM Neural Network Algorithm." Energies 16, no. 3 (2023): 1163. http://dx.doi.org/10.3390/en16031163.

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This paper aims to address the difficult to pinpoint fault cause of the full parallel AT traction power supply system with special structure. The fault characteristics are easily covered up, and high transition impedance only affects the singularity of the wavehead, making the traveling waves hard to identify. Moreover, the classification accuracy of the traditional time-frequency analysis method is not sufficiently high to distinguish precisely. In this paper, a fault classification method of traction network based on single-channel improved Hilbert–Huang transform and deep learning is propos

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Zhu, Hongbo, Weidong Song, Bing Zhang, et al. "Studying Forest Species Classification Methods by Combining PolSAR and Vegetation Spectral Indices." Forests 16, no. 1 (2024): 15. https://doi.org/10.3390/f16010015.

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Tree species are important factors affecting the carbon sequestration capacity of forests and maintaining the stability of ecosystems, but trees are widely distributed spatially and located in complex environments, and there is a lack of large-scale regional tree species classification models for remote sensing imagery. Therefore, many studies aim to solve this problem by combining multivariate remote sensing data and proposing a machine learning model for forest tree species classification. However, satellite-based laser systems find it difficult to meet the needs of regional forest species c

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JIANG, RI-XIN, HONG-RUI ZHANG, K. TARO ELDREDGE, et al. "Further evidence of Cretaceous termitophily: Description of new termite hosts of the trichopseniine Cretotrichopsenius (Coleoptera: Staphylinidae), with emendations to the classification of lower termites (Isoptera)." Palaeoentomology 4, no. 4 (2021): 374–89. https://doi.org/10.11646/palaeoentomology.4.4.13.

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JIANG, RI-XIN, ZHANG, HONG-RUI, ELDREDGE, K. TARO, SONG, XIAO-BIN, LI, YAN-DA, TIHELKA, ERIK, HUANG, DI-YING, WANG, SHUO, ENGEL, MICHAEL S., CAI, CHEN-YANG (2021): Further evidence of Cretaceous termitophily: Description of new termite hosts of the trichopseniine Cretotrichopsenius (Coleoptera: Staphylinidae), with emendations to the classification of lower termites (Isoptera). Palaeoentomology 4 (4): 374-389, DOI: 10.11646/palaeoentomology.4.4.13, URL: http://dx.doi.org/10.11646/palaeoentomology.4.4.13

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Husain, Shaik Jakeer, and Rao K.S. "An Artificial Neural Network Model for Classification of Epileptic Seizures Using Huang-Hilber Transform." International Journal on Soft Computing 5, no. 3 (2014): 23–33. http://dx.doi.org/10.5121/ijsc.2014.5303.

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Nezhevenko, E. S., A. S. Feoktistov, and O. Yu Dashevskii. "Neural network classification of hyperspectral images on the basis of the Hilbert–Huang transform." Optoelectronics, Instrumentation and Data Processing 53, no. 2 (2017): 165–70. http://dx.doi.org/10.3103/s8756699017020091.

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Kaushik, Rekha, and Jyoti Singhai. "Classification of insects' acoustic signals using a hybrid approach: Mel-frequency Hilbert-Huang transformation." International Journal of Autonomous and Adaptive Communications Systems 17, no. 6 (2024): 489–501. http://dx.doi.org/10.1504/ijaacs.2024.142521.

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Su, Zhongyuan, Yaoming Zhang, Minping Jia, Feiyun Xu, and Jianzhong Hu. "Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform." Journal of Mechanical Science and Technology 25, no. 2 (2011): 267–72. http://dx.doi.org/10.1007/s12206-010-1117-6.

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Naeem, Muhammad Tayyab, Nadir Hussain, Jamshaid Rahim, et al. "Factors Indicating a Bad Prognosis in Patients of Emphysematous Pyelonephritis with Diabetes." Pakistan Journal of Medical and Health Sciences 17, no. 4 (2023): 221–23. http://dx.doi.org/10.53350/pjmhs2023174221.

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Aim: To evaluate our experience with emphysematous pyelonephritis in a tertiary care facility and to describe our approach. Study design: Cross-sectional retrospective study Place and duration of study: Dept of Urology, Shaikh Zayed Hospital, Lahore from 1st January 2017 to 31st December 2020. Methodology: Thirty six patients who died of emphysematous pyelonephritis out of the 976 patients and between 34-82 years were enrolled. Used classification systems include Wan and Huang. We examined potential predictive indicators for mortality as well as the clinical and treatment characteristics of th

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Zhao, Xiaoning, Wei He, Lihua Xue, et al. "Particle Size Distribution and Depth to Bedrock of Chinese Cultivated Soils: Implications for Soil Classification and Management." Agronomy 13, no. 5 (2023): 1248. http://dx.doi.org/10.3390/agronomy13051248.

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Although a number of studies have provided information on soil texture, soil classification, and depth to bedrock throughout China, few studies have combined this information, which is the basis for agricultural field management. A total of 81% of China’s cultivated lands are distributed among the Middle–Lower Yangtze Plain (18.2%), arid and semiarid North China Plain (18.2%), Northeast Plain (17%), Huang-Huai-Hai Plain (16.1%), and Yunnan–Guizhou Plateau (11.6%). The Huang-Huai-Hai Plain has the highest density of agricultural land (58.5%) and the greatest depth to bedrock of cultivated land

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Budiyana, Yoseph Edmundus, and Rakhmadati Dagsani. "A STUDY OF EUPHEMIZED ABUSIVE JAVANESE TERMS AND THEIR FIGURATIVE MEANINGS." Celt: A Journal of Culture, English Language Teaching & Literature 13, no. 2 (2015): 210. http://dx.doi.org/10.24167/celt.v13i2.25.

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Speech community frequently uses language for insulting. This study deals with a perspective to find out the classification of the euphemized abusive Javanese terms based on Huang and Warren (1993) and their figurative meanings. By using qualitative method, the writer collected nine public documents related to the euphemized abusive Javanese terms. Then, they were examined and validated by five Javanese experts such as lecturers, puppeteers, and teachers to check their accuracy. The results show that based on Huang and Warrens theory, abstract and spirit provenance for insult attacking physica

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G.Deepika1, and K.S.Rao2. "FPGA IMPLEMENTATION OF HUANG HILBERT TRANSFORM FOR CLASSIFICATION OF EPILEPTIC SEIZURES USING ARTIFICIAL NEURAL NETWORK." International Journal of VLSI design & Communication Systems (VLSICS) Vol.10, No.3, June 2019 10, no. 3 (2019): 01–09. https://doi.org/10.5281/zenodo.3268558.

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The most common brain disorders due to abnormal burst of electrical discharges are termed as Epileptic seizures. This work proposes an efficient approach to extract the features of epileptic seizures by decomposing EEG into band limited signals termed as IMF’s by empirical decomposition EMD. Huang Hilbert Transform is applied on these IMF’s for calculating Instantaneous frequencies and are classified using artificial neural network trained by Back propagation algorithm. The results indicate an accuracy of 97.87%. The algorithm is implemented using Verilog HDL on Zynq 7000 family FP

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Li, Bin, Shuang Li, and Xu Chen Lu. "Research on Classification Performance of Circuit Breaker Vibration Signal Based on Fuzzy C-Means Clustering Analysis." Advanced Materials Research 960-961 (June 2014): 1352–55. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1352.

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With permanent magnetic actuator monostable circuit breaker as the research object, it gets three different running status signal data, normal circuit breaker closing state , break-brake spring single loss and Institutions unsmooth Through constructing data acquisition platform. The performance of the three methods of feature extraction is compared, short-time Fourier transform, wavelet packet energy entropy and Hilbert huang transform, through fuzzy c-means clustering analysis algorithm. Through the comparative study, it is concluded that adopt wavelet packet transform method to get the best

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Tripathi, Alpika, Geetika Srivastava, K. K. Singh, and P. K. Maurya. "Epileptic Seizure Data Classification Using RBAs and Linear SVM." Biomedical and Pharmacology Journal 12, no. 2 (2019): 549–62. http://dx.doi.org/10.13005/bpj/1674.

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The objective of this paper is to make a distinction between EEG data of normal and epileptic subjects. Methods: The dataset is taken from 20-30 years healthy male/female subjects from EEG lab of Dept. of Neurology, Dr. RML Institute of Medical Sciences, Lucknow (India). The feature extraction has been done using the Hilbert Huang Transform (HHT) method. The experimental EEG signals have been decomposed till 5th level of Intrinsic Mode Function (IMF) followed by calculation of high order statistical values of each IMF. Relief algorithm (RBAs) is used for feature selection and classification is

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Peng, Chia-Ju, Yi-Chun Chen, Chun-Chuan Chen, Shih-Jui Chen, Barthélemy Cagneau, and Luc Chassagne. "An EEG-Based Attentiveness Recognition System Using Hilbert–Huang Transform and Support Vector Machine." Journal of Medical and Biological Engineering 40, no. 2 (2019): 230–38. http://dx.doi.org/10.1007/s40846-019-00500-y.

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Abstract Purpose Attentiveness recognition benefits the detection of the mental state and concentration when humans perform specific tasks. Hilbert–Huang transform (HHT) is useful for the analysis of nonlinear or nonstationary bio-signals including brainwaves. In this work, a method is proposed for the characterization of attentiveness levels by using electroencephalogram (EEG) signals and HHT analysis. Methods Single-channel EEG signals from the frontal area were acquired from participants at different levels of attentiveness and were decomposed into a set of intrinsic mode functions (IMF) by

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G, Deepika, and Rao K.S. "FPQA Implementation of Huang Hilbert Transform for Classification of Epileptic Seizures Using Artificial Neural Network." International Journal of VLSI Design & Communication Systems 10, no. 03 (2019): 19–27. http://dx.doi.org/10.5121/vlsic.2019.10302.

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Shi, Jiahao, and Baolin Liu. "Stage detection of mild cognitive impairment via fMRI using Hilbert Huang transform based classification framework." Medical Physics 47, no. 7 (2020): 2902–15. http://dx.doi.org/10.1002/mp.14183.

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Dalei, Jyotirmayee, and Kanungo Barada Mohanty. "Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine." International Journal of Electrical Power & Energy Systems 76 (March 2016): 11–22. http://dx.doi.org/10.1016/j.ijepes.2015.09.009.

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Bantilas, Kosmas E., Ioannis E. Kavvadias, Magdalini Tyrtaiou, and Anaxagoras Elenas. "Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment." Applied Sciences 13, no. 3 (2023): 1634. http://dx.doi.org/10.3390/app13031634.

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Structures that can uplift and rock under severe seismic excitations present remarkable stability without exhibiting damage. As such, rocking-response-based structural systems constitute a promising design practice. Due to the high nonlinearity of the rocking response, the seismic performance of this class of structures should be evaluated probabilistically. From this point of view, in the present study, the performance of 12 novel HHT-based intensity measures (IMs) in describing the seismic behavior of typical rocking viaducts was assessed based on optimal IM selection criteria. To this end,

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Mohammadi, Mokhtar, and Aso M. Darwesh. "Epileptic Seizures Detection based on Empirical Mode Decomposition and Hilbert-Huang transform of EEG Signal." Journal of University of Human Development 1, no. 2 (2015): 295. http://dx.doi.org/10.21928/juhd.v1n2y2015.pp295-299.

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The electrical activities of brain fluctuate frequently and can be analyzed using electroencephalogram (EEG) signals. We present a new method for classification of ictal and seizure-free intracranial EEG recordings. The proposed method uses the application of multivariate empirical mode decomposition (MEMD) algorithm combines with the Hilbert transform as the Hilbert-Huang transform (HHT) and analyzing spectral energy of the intrinsic mode function of the signal. EMD uses the characteristics of signals to adaptively decompose them to several intrinsic mode functions (IMFs). Hilbert transforms

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Vasquez, Juan, Manuel Jaramillo, and Diego Carrión. "An Intelligent Framework for Multiscale Detection of Power System Events Using Hilbert–Huang Decomposition and Neural Classifiers." Applied Sciences 15, no. 12 (2025): 6404. https://doi.org/10.3390/app15126404.

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This article proposes a multiscale classification framework for detecting voltage disturbances in electrical distribution systems using artificial neural networks (ANNs) combined with the Hilbert–Huang transform (HHT). The framework targets four core power quality (PQ) events defined in the IEEE 1159-2019 standard: normal operation and voltage sag, swell, and interruption. Unlike traditional methods that operate on a fixed disturbance duration, our approach incorporates multiple time scales (0.2 s, 0.4 s, and 0.8 s) to improve detection robustness across varied event lengths, a critical factor

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Ruschhaupt, Markus, Wolfgang Huber, Annemarie Poustka, and Ulrich Mansmann. "A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks." Statistical Applications in Genetics and Molecular Biology 3, no. 1 (2004): 1–24. http://dx.doi.org/10.2202/1544-6115.1078.

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We demonstrate a concept and implementation of a compendium for the classification of high-dimensional data from microarray gene expression profiles. A compendium is an interactive document that bundles primary data, statistical processing methods, figures, and derived data together with the textual documentation and conclusions. Interactivity allows the reader to modify and extend these components. We address the following questions: how much does the discriminatory power of a classifier depend on the choice of the algorithm that was used to identify it; what alternative classifiers could be

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