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Journal articles on the topic 'N-way classification'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Durante, Caterina, Rasmus Bro, and Marina Cocchi. "A classification tool for N-way array based on SIMCA methodology." Chemometrics and Intelligent Laboratory Systems 106, no. 1 (2011): 73–85. http://dx.doi.org/10.1016/j.chemolab.2010.09.004.

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LIM, VALERIE P. C., SUSAN J. RICKARD LIOW, MICHELLE LINCOLN, YIONG HUAK CHAN, and MARK ONSLOW. "Determining language dominance in English–Mandarin bilinguals: Development of a self-report classification tool for clinical use." Applied Psycholinguistics 29, no. 3 (2008): 389–412. http://dx.doi.org/10.1017/s0142716408080181.

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ABSTRACTIn multilingual Asian communities, determining language dominance for clinical assessment and intervention is often complex. The aim of this study was to develop a self-report classification tool for identifying the dominant language in English–Mandarin bilinguals. Participants (N = 168) completed a questionnaire on language history and single-word receptive vocabulary tests (Peabody Picture Vocabulary Test type) in both languages. The results of a discriminant analysis on the self-report data revealed a reliable three-way classification into English-dominant, Mandarin-dominant, and ba

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Kutsenko, Anton A. "Classification of Integrodifferential C∗-Algebras." Symmetry 13, no. 10 (2021): 1900. http://dx.doi.org/10.3390/sym13101900.

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The infinite product of matrices with integer entries, known as a modified Glimm–Bratteli symbol n, is a new, sufficiently simple, and very powerful tool for the characterization of approximately finite-dimensional (AF) algebras. This symbol provides a convenient algebraic representation of the Bratteli diagram for AF algebras in the same way as was previously performed by J. Glimm for more simple uniformly hyperfinite (UHF) algebras. We apply this symbol to characterize integrodifferential algebras. The integrodifferential algebra FN,M is the C∗-algebra generated by the following operators ac

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Thomas, Hugo, Guillaume Gravier, and Pascale Sébillot. "One-shot relation retrieval in news archives: adapting N-way K-shot relation Classification for efficient knowledge extraction." Procedia Computer Science 246 (2024): 1060–69. http://dx.doi.org/10.1016/j.procs.2024.09.525.

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Son, Taeil, Jiyu Sun, Hyoung-Il Kim, et al. "A proposal for a novel and simple TNM staging for gastric cancer." Journal of Clinical Oncology 35, no. 4_suppl (2017): 21. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.21.

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21 Background: Current TNM staging system for gastric cancer has controversies regarding N classification. We aimed to develop a simple and novel TNM staging system for gastric cancer by re-grouping N classification. Methods: We retrospectively reviewed 14260 patients treated for gastric cancer. To develop simple combinations of TNM staging with similar weighted value between T and N classification, N classification was restructured with different cutoffs. The optimal cutoffs for the number of metastatic lymph node which maximize the x2 statistic of log-rank test for survival differences among

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Yan, Zhenguo, and Yue Wu. "A Neural N-Gram Network for Text Classification." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 3 (2018): 380–86. http://dx.doi.org/10.20965/jaciii.2018.p0380.

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Convolutional Neural Networks (CNNs) effectively extract local features from input data. However, CNN based on word embedding and convolution layers displays poor performance in text classification tasks when compared with traditional baseline methods. We address this problem and propose a model named NNGN that simplifies the convolution layer in the CNN by replacing it with a pooling layer that extracts n-gram embedding in a simpler way and obtains document representations via linear computation. We implement two settings in our model to extract n-gram features. In the first setting, which we

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Heese, Raoul, Jochen Schmid, Michał Walczak, and Michael Bortz. "Calibrated simplex-mapping classification." PLOS ONE 18, no. 1 (2023): e0279876. http://dx.doi.org/10.1371/journal.pone.0279876.

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We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers are important in many applications because, in addition to the prediction of mere class labels, they also yield a confidence level for each of their predictions. In essence, the training of our classifier proceeds in two steps. In a first step, the training data is represented in a latent space whose geometry is induced by a regular (n − 1)-dimensional simplex, n being the number of classes. We design this represent

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Zhao, Tianna, Yuanjian Zhang, and Duoqian Miao. "Intuitionistic Fuzzy-Based Three-Way Label Enhancement for Multi-Label Classification." Mathematics 10, no. 11 (2022): 1847. http://dx.doi.org/10.3390/math10111847.

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Multi-label classification deals with the determination of instance-label associations for unseen instances. Although many margin-based approaches are delicately developed, the uncertainty classifications for those with smaller separation margins remain unsolved. The intuitionistic fuzzy set is an effective tool to characterize the concept of uncertainty, yet it has not been examined for multi-label cases. This paper proposed a novel model called intuitionistic fuzzy three-way label enhancement (IFTWLE) for multi-label classification. The IFTWLE combines label enhancement with an intuitionisti

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Badmus, Nofiu Idowu, and Rotimi -. "Formulating of Linear Model from One-Way Classification Model." Journal of Statistical Modelling and Analytics 6, no. 2 (2024): 1–10. https://doi.org/10.22452/josma.vol6no2.1.

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This study introduces a novel approach to formulating a linear regression model using a matrix method for Completely Randomized Design (CRD), a type of One-Way classification. In this approach, treatment is the sole classification, and the formulation utilizes response variables organized into rows and columns. The method yields the number of trials (n), slope, predictor, and regression parameters within the system. To ensure the normality of the response variable and select the appropriate error term distribution, we conducted normality tests (Shapiro-Wilk, Anderson-Darling, Cramér-von Mises,

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Gellis, Jason, and Robert Foley. "A novel system for classifying tooth root phenotypes." PLOS ONE 16, no. 11 (2021): e0251953. http://dx.doi.org/10.1371/journal.pone.0251953.

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Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in

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Wu, Jingjing, Yanxia Zhang, Meixia Qu, Bin Jiang, and Wenyu Wang. "Automatic Classification of Spectra with IEF-SCNN." Universe 9, no. 11 (2023): 477. http://dx.doi.org/10.3390/universe9110477.

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Telescopes such as the Large Sky Area Multi-Object Spectroscopic Telescope and the Sloan Digital Sky Survey have produced an extensive collection of spectra, challenging the feasibility of manual classification in terms of accuracy and efficiency. To overcome these limitations, machine learning techniques are increasingly being utilized for automated spectral classification. However, these approaches primarily treat spectra as frequency domain signals, and lack robustness in low signal-to-noise ratio (S/N) scenarios and for small datasets of rare celestial objects. Moreover, they frequently ne

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Stankovic, Milena, Claudio Moraga, and Radomir Stankovic. "An improved spectral classification of Boolean functions based on an extended set of invariant operations." Facta universitatis - series: Electronics and Energetics 31, no. 2 (2018): 189–205. http://dx.doi.org/10.2298/fuee1802189s.

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Boolean functions expressing some particular properties often appear in engineering practice. Therefore, a lot of research efforts are put into exploring different approaches towards classification of Boolean functions with respect to various criteria that are typically selected to serve some specific needs of the intended applications. A classification is considered to be strong if there is a reasonably small number of different classes for a given number of variables n and it it desir able that classification rules are simple. A classification with respect to Walsh spectral coefficients, int

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CHIANG, CHENG-CHIN, and HSIN-CHIA FU. "ON THE CLASSIFICATION CAPABILITY OF A DYNAMIC THRESHOLD NEURAL NETWORK." International Journal of Neural Systems 05, no. 02 (1994): 103–14. http://dx.doi.org/10.1142/s0129065794000128.

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This paper proposes a new type of neural network called the Dynamic Threshold Neural Network (DTNN) which is theoretically and experimentally superior to a conventional sigmoidal multilayer neural network in classification capability, Given a training set containing 4k+1 patterns in ℜn, to successfully learn this training set, the upper bound on the number of free parameters for a DTNN is (k+1)(n+2)+2(k +1), while the upper bound for a sigmoidal network is 2k(n+1)+(2k+1). We also derive a learning algorithm for the DTNN in a similar way to the derivation of the backprop learning algorithm. In

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Awaysheh, Abdullah, Jeffrey Wilcke, François Elvinger, Loren Rees, Weiguo Fan, and Kurt Zimmerman. "Identifying free-text features to improve automated classification of structured histopathology reports for feline small intestinal disease." Journal of Veterinary Diagnostic Investigation 30, no. 2 (2017): 211–17. http://dx.doi.org/10.1177/1040638717744002.

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The histologic evaluation of gastrointestinal (GI) biopsies is the standard for diagnosis of a variety of GI diseases (e.g., inflammatory bowel disease [IBD] and alimentary lymphoma [ALA]). The World Small Animal Veterinary Association (WSAVA) Gastrointestinal International Standardization Group proposed a reporting standard for GI biopsies consisting of a defined set of microscopic features. We compared the machine classification accuracy of free-text microscopic findings with those represented in the WSAVA format with a diagnosis of IBD and ALA. Unstructured free-text duodenal biopsy patholo

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Sirotova, Mariana, and Krzysztof Rubacha. "Educational Reinforcement Strategy by Teachers with Diverse Ethical Orientations." Przegląd Badań Edukacyjnych 2, no. 43 (2023): 165–74. http://dx.doi.org/10.12775/pbe.2023.033.

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The study included teachers representing three ethical orientations: care orientation (T), justice orientation (S) and undefined orientation (N). The classification of the participants into groups was based on the result of the ethical orientation test by which they were tested. The reinforcement standard they used was then diagnosed: collectivist versus individualistic. Using the one-way ANOVA, reinforcement averages were compared. Group T and N participants were more likely to use an individualistic rather than collectivistic reinforcement standard in comparison to Group S participants.

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Kurebayashi, Yusuke, and Junichi Otaki. "Classification of Neurocognition in Japanese Patients with Schizophrenia: A Cluster Analysis." Perspectives in Psychiatric Care 2024 (May 9, 2024): 1–9. http://dx.doi.org/10.1155/2024/3920137.

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Objectives. Cognitive functions in almost all domains are lower in patients with schizophrenia than those in healthy controls, with the severity of impairment differing between domains. Treatments are being developed to improve cognitive impairment in patients with schizophrenia. However, the pattern of cognitive impairment must be clarified to facilitate treatment. Therefore, this study aimed to classify the patterns of cognitive impairment in individuals and provide treatment suggestions. Methods. Patients with schizophrenia were recruited from two psychiatric hospitals in Japan. Demographic

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Rıfkı Çora, Ahmet, and Ersin Çelik. "Relationship between peripheral arterial disease severity determined by the Glass classification and triglyceride-glucose index; novel association and novel classification system." Investigación Clínica 63, no. 4 (2022): 363–75. http://dx.doi.org/10.54817/ic.v63n4a04.

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Peripheral arterial disease is a serious clinical manifestation caused by atherosclerosis. It is one common cause of morbidity and mortality worldwide. It is commonly seen in males, and its (prevelance) increases with age. It is most prevalent with smoking, hypertension, diabetes mellitus and hyperlip-idemia. Novel studies investigate the relationship between triglyceride-glucose index (TyG) and cardiovascular diseases. Studies investigating the association of this index and peripheral arterial disease and disease severity are generally done by using The Trans-Atlantic Inter-Society Consensus

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Chilikov, A. A. "Regarding Classification of n-sharing of Multivariate Mappings over Finite Fields and One NSUCrypto'2019 Olympiad Problem." Mathematics and Mathematical Modeling, no. 1 (September 24, 2022): 31–51. http://dx.doi.org/10.24108/mathm.0122.0000262.

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A problem of great importance that arises in designing and implementation of a cryptosystem is countering side channel attacks. Often an appropriate mathematical algorithm, implemented on a specific physical device to work in the physical environment, becomes vulnerable to such attacks.The “function sharing” technique is a prospective and efficient way to avoid this problem. In the paper we investigate “non-complete sharing” of Boolean functions and mappings, and functions and mappings over finite fields and provide a complete description of the set of functions with n variables, which have sh

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Jaime, Xavier A., Jay P. Angerer, Chenghai Yang, et al. "Exploring Effective Detection and Spatial Pattern of Prickly Pear Cactus (Opuntia Genus) from Airborne Imagery before and after Prescribed Fires in the Edwards Plateau." Remote Sensing 15, no. 16 (2023): 4033. http://dx.doi.org/10.3390/rs15164033.

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Over the past century, prickly pear (PP) cactus (e.g., genus Opuntia; subgenus Platyopuntia) has increased on semi-arid rangelands. Effective detection of cacti abundance and spatial pattern is challenging due to the inherent heterogeneity of rangeland landscapes. In this study, high-resolution multispectral imageries (0.21 m) were used to test object-based (OB) feature extraction, random forest (RF) machine learning, and spectral endmember (n-D) classification methods to map PP and evaluate its spatial pattern. We trained and tested classification methods using field-collected GPS location, p

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Tegmark, Max, and Tailin Wu. "Pareto-Optimal Data Compression for Binary Classification Tasks." Entropy 22, no. 1 (2019): 7. http://dx.doi.org/10.3390/e22010007.

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The goal of lossy data compression is to reduce the storage cost of a data set X while retaining as much information as possible about something (Y) that you care about. For example, what aspects of an image X contain the most information about whether it depicts a cat? Mathematically, this corresponds to finding a mapping X → Z ≡ f ( X ) that maximizes the mutual information I ( Z , Y ) while the entropy H ( Z ) is kept below some fixed threshold. We present a new method for mapping out the Pareto frontier for classification tasks, reflecting the tradeoff between retained entropy and class in

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Prokopowicz, Piotr, and Dariusz Mikołajewski. "Fuzzy Approach to Computational Classification of Burnout—Preliminary Findings." Applied Sciences 12, no. 8 (2022): 3767. http://dx.doi.org/10.3390/app12083767.

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There is a common belief that medical professions generate more work-related stress and earlier job burnout. We tested two groups: study group 1: medical (physical therapists, n = 30), and study group 2: non-medical (informaticians, n = 30). The purpose of this study was to find new, more reliable models for calculating work-related stress and burnout in the two aforementioned different professional groups. In the paper, we focused on a new model of algorithm based on AI methods that extends the interpretability of the scale of results obtained using the MBI test. The outcomes of the Maslach B

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Gulzar, Zameer, and A. Anny Leema. "Course Recommendation Based on Query Classification Approach." International Journal of Web-Based Learning and Teaching Technologies 13, no. 3 (2018): 69–83. http://dx.doi.org/10.4018/ijwltt.2018070105.

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This article describes how with a non-formal education, a scholar has to choose courses among various domains to meet the research aims. In spite of this, the availability of large number of courses, makes the process of selecting the appropriate course a tedious, time-consuming, and risky decision, and the course selection will directly affect the performance of a scholar. The best approach to solve such problems and to produce desirable results is to use a “recommendation system.” Recommender systems at the core employ information retrieval techniques and the ongoing effort of such informati

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RIESEN, KASPAR, and HORST BUNKE. "GRAPH CLASSIFICATION BASED ON VECTOR SPACE EMBEDDING." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 06 (2009): 1053–81. http://dx.doi.org/10.1142/s021800140900748x.

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Graphs provide us with a powerful and flexible representation formalism for pattern classification. Many classification algorithms have been proposed in the literature. However, the vast majority of these algorithms rely on vectorial data descriptions and cannot directly be applied to graphs. Recently, a growing interest in graph kernel methods can be observed. Graph kernels aim at bridging the gap between the high representational power and flexibility of graphs and the large amount of algorithms available for object representations in terms of feature vectors. In the present paper, we propos

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Benjumea, J. C., J. Núnez, and A. F. Tenorio. "Minimal linear representations of the low-dimensional nilpotent Lie algebras." MATHEMATICA SCANDINAVICA 102, no. 1 (2008): 17. http://dx.doi.org/10.7146/math.scand.a-15048.

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The main goal of this paper is to compute a minimal matrix representation for each non-isomorphic nilpotent Lie algebra of dimension less than $6$. Indeed, for each of these algebras, we search the natural number $n\in\mathsf{N}\setminus\{1\}$ such that the linear algebra $\mathfrak{g}_n$, formed by all the $n \times n$ complex strictly upper-triangular matrices, contains a representation of this algebra. Besides, we show an algorithmic procedure which computes such a minimal representation by using the Lie algebras $\mathfrak{g}_n$. In this way, a classification of such algebras according to

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Cuesta-Frau, David, Antonio Molina-Picó, Borja Vargas, and Paula González. "Permutation Entropy: Enhancing Discriminating Power by Using Relative Frequencies Vector of Ordinal Patterns Instead of Their Shannon Entropy." Entropy 21, no. 10 (2019): 1013. http://dx.doi.org/10.3390/e21101013.

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Many measures to quantify the nonlinear dynamics of a time series are based on estimating the probability of certain features from their relative frequencies. Once a normalised histogram of events is computed, a single result is usually derived. This process can be broadly viewed as a nonlinear I R n mapping into I R , where n is the number of bins in the histogram. However, this mapping might entail a loss of information that could be critical for time series classification purposes. In this respect, the present study assessed such impact using permutation entropy (PE) and a diverse set of ti

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Lovera, Fernando Andres, Yudith Coromoto Cardinale, and Masun Nabhan Homsi. "Sentiment Analysis in Twitter Based on Knowledge Graph and Deep Learning Classification." Electronics 10, no. 22 (2021): 2739. http://dx.doi.org/10.3390/electronics10222739.

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The traditional way to address the problem of sentiment classification is based on machine learning techniques; however, these models are not able to grasp all the richness of the text that comes from different social media, personal web pages, blogs, etc., ignoring the semantic of the text. Knowledge graphs give a way to extract structured knowledge from images and texts in order to facilitate their semantic analysis. This work proposes a new hybrid approach for Sentiment Analysis based on Knowledge Graphs and Deep Learning techniques to identify the sentiment polarity (positive or negative)

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Fernández-Trincado, José G., Leonardo Chaves-Velasquez, Angeles Pérez-Villegas, et al. "Dynamical orbital classification of selected N-rich stars with Gaia Data Release 2 astrometry." Monthly Notices of the Royal Astronomical Society 495, no. 4 (2020): 4113–23. http://dx.doi.org/10.1093/mnras/staa1386.

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ABSTRACT We have used the galaxy modelling algorithm gravpot16, to explore the most probable orbital elements of a sample of 64 selected N-rich stars across the Milky Way. We use the newly measured proper motions from Gaia Data Release 2 with existing line-of-sight velocities from the second generation of the Apache Point Observatory Galactic Evolution Experiment (APOGEE-2) and spectrophotometric distance estimations from starhorse. We adopted a set of high-resolution particle simulations evolved in the same steady-state Galactic potential model with a bar, in order to identify the groups of N

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Grotkamp, Sabine L., Wolfgang M. Cibis, Elisabeth A. M. Nüchtern, Gert von Mittelstaedt, and Wolfgang K. F. Seger. "Personal Factors in the International Classification of Functioning, Disability and Health: Prospective Evidence." Australian Journal of Rehabilitation Counselling 18, no. 1 (2012): 1–24. http://dx.doi.org/10.1017/jrc.2012.4.

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The goal of this study was to propose a systematic classification of relevant personal factors for describing the background of an individual's life and way of living. The German Society of Social Medicine and Prevention constituted an ICF working group consisting of members from Medical Advisory Boards of Statutory Health Insurances (n = 6) and other institutions (n = 12) in 2009. A two-tier consensus building approach was utilised to construct and document the personal factors, with an initial team of experts compiling the personal factors and a second group of experts, who had not participa

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Ihsanto, Eko, Kalamullah Ramli, Dodi Sudiana, and Teddy Surya Gunawan. "An Efficient Algorithm for Cardiac Arrhythmia Classification Using Ensemble of Depthwise Separable Convolutional Neural Networks." Applied Sciences 10, no. 2 (2020): 483. http://dx.doi.org/10.3390/app10020483.

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Many algorithms have been developed for automated electrocardiogram (ECG) classification. Due to the non-stationary nature of the ECG signal, it is rather challenging to use traditional handcraft methods, such as time-based analysis of feature extraction and classification, to pave the way for machine learning implementation. This paper proposed a novel method, i.e., the ensemble of depthwise separable convolutional (DSC) neural networks for the classification of cardiac arrhythmia ECG beats. Using our proposed method, the four stages of ECG classification, i.e., QRS detection, preprocessing,

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Thoma, Louise M., Hege Grindem, David Logerstedt, et al. "Coper Classification Early After Anterior Cruciate Ligament Rupture Changes With Progressive Neuromuscular and Strength Training and Is Associated With 2-Year Success: The Delaware-Oslo ACL Cohort Study." American Journal of Sports Medicine 47, no. 4 (2019): 807–14. http://dx.doi.org/10.1177/0363546519825500.

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Background: Some athletes demonstrate excellent dynamic stability after anterior cruciate ligament (ACL) rupture and return to sport without ACL reconstruction (ACLR) (copers). Others demonstrate persistent instability despite rehabilitation (noncopers) and require surgical stabilization. Testing to determine coper classification can identify potential copers early after rupture. It is unclear how coper classification changes after a brief intervention and how early classification relates to long-term outcomes. Purpose: (1) To evaluate the consistency of early coper classification (potential c

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Kustiawan, Rendi, Adiwijaya Adiwijaya, and Mahendra Dwifebri Purbolaksono. "A Multi-label Classification on Topic of Hadith Verses in Indonesian Translation using CART and Bagging." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 2 (2022): 868. http://dx.doi.org/10.30865/mib.v6i2.3787.

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Hadith is a source of law for Muslims after the al-qur'an, in which there are instructions in the form of words, actions, attitudes, and others. Hadith must be studied and practiced by Muslims, then used as a way of life after the al-qur'an. Classifying hadith is a way to make it easier for Muslims to learn hadith by looking at the text pattern in the translation of Bukhari hadith based on three classes or categories based on suggestions, prohibitions, and information. The classification carried out is a multi-label classification. The classification process uses N-gram and TF-IDF as feature e

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Khaled, Alzamel, and Alajmi Manayer. "Few-shot Learning Approach for Arabic Scholarly Paper Classification using SetFit Framework." WSEAS TRANSACTIONS ON COMMUNICATIONS 23 (December 27, 2024): 89–95. https://doi.org/10.37394/23204.2024.23.12.

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Focus on the few-shot approach has increased recently for TC as it is competitive with fine-tuning models that need a large dataset [14]. In NLP, the process of using PTMs to classify new data is preferable to the expensive process of training a model from scratch. This can be considered a kind of TL, i.e., it focuses on reusing knowledge of PTMs to solve different problems, as long as the pre-training data is appropriately comparable. Transferring knowledge allows the model to circumvent the lack of data and enable FSL as a low-cost solution. To clarify, the term shot refers to a single examp

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Kaķol, Jerzy, Stephen A. Saxon, and Aaron R. Todd. "THE ANALYSIS OF WARNER BOUNDEDNESS." Proceedings of the Edinburgh Mathematical Society 47, no. 3 (2004): 625–31. http://dx.doi.org/10.1017/s001309150300066x.

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AbstractIn answer to Jarchow’s 1981 text, we recently characterized when $C_{\textrm{c}}(X)$ is a $df$-space, finding along the way attractive analytic characterizations of when the Tychonov space $X$ is pseudocompact. Analogues now reveal how exquisitely Warner boundedness lies between these two notions. To illustrate, $X$ is pseudocompact, $X$ is Warner bounded or $C_{\textrm{c}}(X)$ is a $df$-space if and only if for each sequence $(\mu_{n})_{n}\subset C_{\textrm{c}}(X)'$ there exists a sequence $(\varepsilon_{n})_{n}\subset(0,1]$ such that $(\varepsilon_{n}\mu_{n})_{n}$ is weakly bounded,

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Şahin Mantı, Arzu, and Özgür İlke Ulusoy. "An Evaluation of the Fracture Resistance of Teeth with Simulated External Cervical Resorption Cavities Categorized Using Three-Dimensional Classification." Journal of Clinical Medicine 13, no. 8 (2024): 2159. http://dx.doi.org/10.3390/jcm13082159.

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(1) Background: External cervical resorption causes dental hard tissue destruction that may reduce the fracture resistance of affected teeth. By using a compressive strength test, this study aimed to evaluate the fracture resistance of teeth with simulated external cervical resorption cavities that have different three-dimensional classifications. (2) Methods: In total, 170 teeth with simulated external cervical resorptions were divided into 16 experimental groups (n = 10) and 1 control group (n = 10) based on the three-dimensional classification: 1Ap, 1Bp, 1Cp, 1Dp, 2Ap, 2Bp, 2Cp, 2Dp, 3Ap, 3

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Zeeshan, Tayyaba, Zeeshan Qamar, Badr Bamousa, et al. "Effect of Salvadora persica chewing sticks on maxillary central incisors crown-root angulation in Western-Asian population & correlation with Collum angle on 3D CBCT images." Edelweiss Applied Science and Technology 8, no. 6 (2024): 4512–17. http://dx.doi.org/10.55214/25768484.v8i6.2981.

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The main aim of the study was to identify the Collum angle classification for maxillary central incisors among individuals use vs not-use chewing sticks which could have beneficial role for immediate implant placement in respective individuals. Additionally, to identify the root-crown positioning and angulation in the Western Asian Saudi Arabian population for chewing sticks user’s vs non-users in order to develop guideline for the prosthetic procedures using Cone beam computed tompography (CBCT). A total number of 380 CBCT scans were included in the study for both of the groups based on the i

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Yang, Shuang, Chunmei Shu, Haiyou Hu, Guanghui Ma, and Min Yang. "Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features." Computational and Mathematical Methods in Medicine 2022 (May 28, 2022): 1–11. http://dx.doi.org/10.1155/2022/9726181.

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The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into observation group ( n = 134 ) and control group ( n = 134 ). Image recognition algorithm was used for feature extraction, segmentation, and classification of dermoscopic images, and the image recognition and classification algorithm were studied as the performance and accuracy of fusion classifier were compared. The results showed that the classifie

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MORRISON, SCOTT, DAVID PENNEYS, EMILY PETERS, and NOAH SNYDER. "SUBFACTORS OF INDEX LESS THAN 5, PART 2: TRIPLE POINTS." International Journal of Mathematics 23, no. 03 (2012): 1250016. http://dx.doi.org/10.1142/s0129167x11007586.

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We summarize the known obstructions to subfactors with principal graphs which begin with a triple point. One is based on Jones's quadratic tangles techniques, although we apply it in a novel way. The other two are based on connections techniques; one due to Ocneanu, and the other previously unpublished, although likely known to Haagerup.We then apply these obstructions to the classification of subfactors with index below 5. In particular, we eliminate three of the five families of possible principal graphs called "weeds" in the classification from S. Morrison and N. Snyder, Subfactors of index

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Wei, Zhenbo, Yu Zhao, and Jun Wang. "Classification and Prediction of Goldfish Population and Water Quality Using a Potentiometric E-Tongue." Transactions of the ASABE 60, no. 4 (2017): 1037–44. http://dx.doi.org/10.13031/trans.9488.

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Abstract. In this study, a potentiometric E-tongue was employed for comprehensive evaluation of water quality and goldfish population with the help of pattern recognition methods. Four water quality parameters, i.e., pH and concentrations of dissolved oxygen (DO), nitrite (NO2-N), and ammonium (NH3-N), were tested by conventional analysis methods. The differences in water quality parameters between samples were revealed by two-way analysis of variance (ANOVA). The cultivation days and goldfish population were classified well by principal component analysis (PCA) and canonical discriminant anal

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Seo, Suin, Sung-Il Cho, Wonjeong Yoon, and Cheol Min Lee. "Classification of Smoking Cessation Apps: Quality Review and Content Analysis." JMIR mHealth and uHealth 10, no. 2 (2022): e17268. http://dx.doi.org/10.2196/17268.

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Background Many people use apps for smoking cessation, and the effectiveness of these apps has been proven in several studies. However, no study has classified these apps and only few studies have analyzed the characteristics of these apps that influence their quality. Objective The purpose of this study was to analyze the content and the quality of smoking cessation apps by type and identify the characteristics that affect their overall quality. Methods Two app marketplaces (App Store and Google Play) were searched in January 2018, and the search was completed by May 2020. The search terms us

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Struja, Tristan, Andreas Eckart, Alexander Kutz, et al. "Metabolomics and Their Ability to Distinguish Thyroid Disorders: A Retrospective Pilot Study." Hormone and Metabolic Research 51, no. 04 (2019): 256–60. http://dx.doi.org/10.1055/a-0850-9691.

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AbstractEarly diagnosis of thyroid disorders is key to further treatment. We assessed the ability of a high-throughput proton NMR metabolomic profile to distinguish disease type amongst of Graves’ disease (n=87), Hashimoto’s thyroiditis (n=17), toxic goiter (n=11), and autoimmune thyroiditis [i. e., subacute thyroiditis (n=4), postpartum thyroiditis (n=1)]. This observational study was conducted investigating patients presenting with a thyroid disorder at a Swiss hospital endocrine referral center and an associated endocrine outpatient clinic. The main outcome was diagnosis of thyroid disorder

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Hjorth, Greg, and Alexander S. Kechris. "Analytic equivalence relations and Ulm-type classifications." Journal of Symbolic Logic 60, no. 4 (1995): 1273–300. http://dx.doi.org/10.2307/2275888.

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Our main goal in this paper is to establish a Glimm-Effros type dichotomy for arbitrary analytic equivalence relations.The original Glimm-Effros dichotomy, established by Effros [Ef], [Ef1], who generalized work of Glimm [G1], asserts that if an Fσ equivalence relation on a Polish space X is induced by the continuous action of a Polish group G on X, then exactly one of the following alternatives holds:(I) Elements of X can be classified up to E-equivalence by “concrete invariants” computable in a reasonably definable way, i.e., there is a Borel function f: X → Y, Y a Polish space, such that xE

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Cheng, Kai, Juanle Wang, and Xinrong Yan. "Mapping Forest Types in China with 10 m Resolution Based on Spectral–Spatial–Temporal Features." Remote Sensing 13, no. 5 (2021): 973. http://dx.doi.org/10.3390/rs13050973.

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The comprehensive application of spectral, spatial, and temporal (SST) features derived from remote sensing images is a significant technique for classifying and mapping forest types. Facing limitations in the availability of detailed forest type identification processes for large regions, a forest type classification framework based on SST features was developed in this study. The advantages of Sentinel-2 and Landsat series imagery were used to extract SST forest type classification features, using red-edge bands, a gray-level co-occurrence matrix, and harmonic analysis, with the assistance o

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Johnston, Briana P., Mauricio X. S. Oliveira, Carly A. Becker, et al. "22 Influence of Cell-Mediated Immune Response Classification on Performance of Heat-Stressed Dairy Cattle." Journal of Animal Science 101, Supplement_1 (2023): 18–19. http://dx.doi.org/10.1093/jas/skad068.021.

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Abstract The objective was to evaluate the influence of cell-mediated immune response classification on performance of dairy cattle experiencing conditions of heat stress on pasture. On d 0, pregnant, lactating dairy cows (n = 27; 18 Holstein and 9 Jersey) received a subcutaneous sensitization dose of killed Candida albicans (CA; 0.5 mg) with Quil-A adjuvant (0.75 mg) in 2.5 mL of PBS. Tail skin fold thickness (SFT) was measured with a Harpenden caliper on d 14 immediately following an intradermal injection of killed CA (0.1 mg in 0.5 mL of PBS) in the right tail skin fold and a control inject

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Nischal, Lakhotia, Harod Omprakash, and Manoranjitham T. "Detecting and Classifying Toxic Language in Twitter using Machine Learning." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 644–48. https://doi.org/10.35940/ijeat.E9714.069520.

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Today international on-line content material has turned out to be a first-rate part due to growth in the use of net. Individuals of various societies and instructive foundation can speak through this platform. Therefore, for automatic detection of poisonous content, we need to distinguish between hate speech and offensive language. Here a way to robotically stumble on and classify tweets on Twitter into 3 commands: hateful, offensive and easy is proposed. We do not forget n-grams as functions and by way of passing their time period frequency-inverse document frequency (TFIDF) values to numerou

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Tan, Jun, Jiamin Yuan, Xiaoyong Fu, and Yilin Bai. "Colonoscopy polyp classification via enhanced scattering wavelet Convolutional Neural Network." PLOS ONE 19, no. 10 (2024): e0302800. http://dx.doi.org/10.1371/journal.pone.0302800.

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Among the most common cancers, colorectal cancer (CRC) has a high death rate. The best way to screen for colorectal cancer (CRC) is with a colonoscopy, which has been shown to lower the risk of the disease. As a result, Computer-aided polyp classification technique is applied to identify colorectal cancer. But visually categorizing polyps is difficult since different polyps have different lighting conditions. Different from previous works, this article presents Enhanced Scattering Wavelet Convolutional Neural Network (ESWCNN), a polyp classification technique that combines Convolutional Neural

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Stausberg, J., and D. Nasseh. "Evaluation of a Binary Semi-supervised Classification Technique for Probabilistic Record Linkage." Methods of Information in Medicine 55, no. 02 (2016): 136–43. http://dx.doi.org/10.3414/me14-01-0087.

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SummaryBackground: The process of merging data of different data sources is referred to as record linkage. A medical environment with increased preconditions on privacy protection demands the transformation of clear-text attributes like first name or date of birth into one-way encrypted pseudonyms. When performing an automated or privacy preserving record linkage there might be the need of a binary classification deciding whether two records should be classified as the same entity. The classification is the final of the four main phases of the record linkage process: Preprocessing, indexing, m

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MAS, M., G. MAYOR, and J. TORRENS. "t–OPERATORS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 07, no. 01 (1999): 31–50. http://dx.doi.org/10.1142/s0218488599000039.

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This paper looks over a class of operators introduced in ([2]), called t–operators. Introduced in order to be applied to fuzzy preorders, their properties lead them to be also appropriate in some fields like aggregation problems and expert systems. We characterize these operators as a special combination of a t-norm and a t-conorm on [0, 1] in a similar way of uninorms in ([5]). We study duality and self duality on t–operators with respect to a strong negation N. We also give a classification of continuous t–operators through ordinal sums. Finally, we obtain from some t–operators (those idempo

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Fakhrudin, Abdul Daffa, and Putu Harry Gunawan. "Arrhythmia Classification Using CNN-SVM from ECG Spectrogram Representation." Eduvest - Journal of Universal Studies 4, no. 12 (2024): 11245–54. https://doi.org/10.59188/eduvest.v4i12.49993.

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Arrhythmia, a critical subset of cardiovascular diseases and a leading cause of morbidity and mortality, is caused by irregular heartbeats that disrupt the normal rhythm of the heart. Detecting arrhythmias accurately is essential for timely diagnosis and treatment, which can be achieved through electrocardiogram (ECG) signals. This study presents a hybrid Convolutional Neural Network (CNN) and Support Vector Machine (SVM) model for arrhythmia classification, leveraging spectrogram representations of ECG signals. The CNN extracts spatial and temporal features from the spectrograms, while the SV

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Golubitsky, Yu. "Small Industry, Gimmicks and Moscow Statistics, or How the Small Russian Enterprise Came into the World (Russian Physiological Sketch, 1830-1840)." Voprosy Ekonomiki, no. 8 (August 20, 2009): 123–29. http://dx.doi.org/10.32609/0042-8736-2009-8-123-129.

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The article considers business practices of Moscow small industry in the XIX century, basing upon physiological sketches of N. Polevoy and I. Kokorev, statistical data and the classification of professions are also presented. The author claims that the heroes of the analyzed sketches are the forefathers of Moscow small businesses and shows what a deep similarity their occupations and a way of life bear to the present-day routine existence of small enterprises.

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Fleming, Allison R., and Michael J. Leahy. "Using the International Classification of Functioning to Conceptualize Quality of Life Among Rehabilitation Services Recipients." Rehabilitation Research, Policy, and Education 28, no. 1 (2014): 2–23. http://dx.doi.org/10.1891/2168-6653.28.1.2.

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Researchers and policy makers have proposed that quality of life (QOL) is an important and useful way to measure the impact of services, although practical application of QOL in rehabilitation has been limited. In this study, a comprehensive framework (the International Classification of Functioning [ICF]) is used to compare the relationship between QOL and function in key life areas in a sample of adults with disabilities receiving vocational services (n = 224). Results of a multiple regression analysis indicated that level of education, duration of disability, difficulty with social relation

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