Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The parametric classifiers Logistic Regression (LR), Naïve Bayes Classifier (NBC), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machine with linear kernel (Linear SVM) were used as meta-models. …”
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Diagnosis and Prognosis of Neuroendocrine Tumours of the Lung by Means of High Resolution Image Analysis by Uta Jütting, Peter Gais, Karsten Rodenacker, Joachim Böhm, Susanne Koch, Heinz W. Präuer, Heinz Höfler

“…Using chromatin textural and morphometric features in two two‐class discriminations, 11 of the 14 TC cases and 8 of the 13 WDNEC cases were correctly classified and 11/13 WDNEC cases and 28/32 SCLC cases, respectively. …”
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The Kerlan-Jobe Orthopaedic Clinic Shoulder & Elbow Score used as a Patient-Reported Outcome Measure for the Youth and High School Aged Baseball Athlete by Ryan Monti, Alicia Fernandez-Fernandez

“… # Results Significant differences were found between the groups (U = 698.5, p < .001) with capability to discriminate those throwing with pain versus those throwing without pain (Area Under Curve (AUC) .891). …”
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Traveling Wave Solution of the Kaup–Boussinesq System with Beta Derivative Arising from Water Waves by Dan Chen, Zhao Li

“…By using the complete discriminant system method of polynomial, the rational function solution, the trigonometric function solution, the exponential function solution, and the Jacobian function solution of the Kaup–Boussinesq system with beta derivative are obtained. …”
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Bifurcation Analysis and Single Traveling Wave Solutions of the Variable-Coefficient Davey–Stewartson System by Tianyong Han, Jiajin Wen, Zhao Li

“…On the other hand, we use the polynomial complete discriminant method to obtain the exact traveling wave solution of the variable-coefficient Davey–Stewartson system.…”
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A Novel Necessary and Sufficient Condition for the Positivity of a Binary Quartic Form by Yang Guo

“…Last, from the inequalities, we derive a novel criterion for determining the positivity of a binary quartic form without the discriminant.…”
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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction by Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang

“…Generated images are inputted into the u-net discriminator, extracting details from both overall and specific perspectives to enhance the quality of the generated F-PET images. …”
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The Estimates of Retinal Ganglion Cell Counts Performed Better than Isolated Structure and Functional Tests for Glaucoma Diagnosis by Bruno L. B. Esporcatte, Andrea C. Kara-José, Luiz Alberto S. Melo, Luciano M. Pinto, Ivan M. Tavares

“…RGC count estimates obtained by combined structural and functional data showed excellent diagnostic accuracy for discriminating the healthy from the glaucomatous eyes and performed better than isolated structural and functional parameters.…”
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Cytokine Kinetics in Febrile Neutropenic Children: Insights on the Usefulness as Sepsis Biomarkers, Influence of Filgrastim, and Behavior of the IL-23/IL-17 Pathway by Orlei Ribeiro de Araujo, Reinaldo Salomão, Milena Karina Coló Brunialti, Dafne Cardoso Bourguignon da Silva, Andreza Almeida Senerchia, Fabianne Altruda de Moraes Costa Carlesse, Antonio Sergio Petrilli

“…Only IL-6, IL-8, IL-10, and procalcitonin were useful as discriminators of sepsis. Associating the markers with each other or to a risk assessment model improved performance. …”
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization by Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad Almadhor, Vincent Karovic

“…Random forest and linear discriminant analysis classifiers were employed for event detection, while the estimation signal parameters through rational-in-variance techniques (ESPRIT) algorithm was used for sound source localization.ResultsThe study achieved high detection accuracy, with random forest and linear discriminant analysis classifiers attaining 95% and 87%, respectively, for event detection. …”
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Rapid Screening for Cognitive Impairment in Parkinson’s Disease: A Pilot Study by YanHong Dong, Way Inn Koay, Leonard Leong Litt Yeo, Christopher Li-Hsian Chen, Jing Xu, Raymond Chee Seong Seet, Erle Chuen Hian Lim

“…This study sought to establish the discriminant validity of a rapid cognitive screen, that is, the National Institute of Neurological Disease and Stroke-Canadian Stroke Network (NINDS-CSN) 5-minute protocol, and compare its discriminant validity to the Montreal Cognitive Assessment (MoCA) and Mini Mental State Examination (MMSE) in detecting cognitive impairment (CI) in PD patients. …”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…Experiments on epilepsy and ADNI datasets show that our method outperforms several state-of-the-art approaches in diagnosing performance, and it provides discriminative graph features for related brain diseases.…”
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Sexual dimorphism in basal and post stress parameters of neuro-endocrine-immune complex, metabolome, electrocardiogram, and gastric mucosa at rats by Oksana Fihura, Mykhaylo Korda, Ivan Klishch, Sofiya Ruzhylo, Oksana Melnyk, Walery Zukow, Roman Yanchij, Alyona Vorobienko, Oleksandr Plyska, Dariya Popovych, Igor Popovych

“…The distance between the centroids of the major discriminant root of intact females and males as a measure of sexual dimorphism is 16.2 units. …”
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Nomogram for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids based on oxytocin experimentation and ultrasonographic features: a retrospec... by Sheng Chen, Danling Zhang, Guisheng Ding, Mengqi Chen, Songsong Wu, Jianzhong Zou

“…The calibration curve of the nomogram demonstrated good consistency between actual observations and nomogram predictions, with an absolute error of 0.066. The model’s discriminative ability was evaluated by the area under the curve, which was 0.887 (95% CI: 0.818–0.955). …”
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Microbial communities associated with the skin, gill, and gut of large yellow croaker (Larimichthys crocea) by Jingan Wang, Chenghao Hu, Xiaojie Tong, Yuan Gao, Renjie Liang, Chibo Liu, Kai Zhao

“…The richness and diversity of microbiota in the skin were significantly higher than that in the gill and gut. Discriminative microbial taxa such as Psychrobacter in the skin, Enterobacterales in the gill, and Fusobacterium in the gut, and discriminative predictive functions were identified in the skin, gill and gut. …”
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On the number of representations of positive integers by quadratic forms as the basis of the space S4(Γ0(47),1) by Ahmet Tekcan, Osman Bızım

“…The number of representations of positive integers by quadratic forms F1=x12+x1x2+12x22 and G1=3x12+x1x2+4x22 of discriminant −47 are given. Moreover, a basis for the space S4(Γ0(47),1) are constructed, and the formulas for r(n;F4), r(n;G4), r(n;F3⊕G1), r(n;F2⊕G2), and r(n;F1⊕G3) are derived.…”
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Functional Analysis of the Differences in the Dimensions of Two Types of Boiled and Steamed Rice Grains by Mirosław Krzyśko, Waldemar Wołyński, Marek Domin, Zofia Hanusz, Leszek Rydzak, Łukasz Smaga, Andrzej Wojtyła

“…Different methods of multivariate functional data analysis, namely, functional multivariate analysis of variance, functional discriminant coordinates, and cluster analysis, were applied to discover the differences between the two varieties and the two heat treatment methods.…”
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Hyperspectral image classification method based on multi-scale proximal feature concatenate network by Hongmin GAO, Xueying CAO, Zhonghao CHEN, Zaijun HUA, Chenming LI, Yue CHEN

“…Aiming at the phenomenon that the hyperspectral classification algorithm based on traditional CNN model was not expressive enough in detail and the network structure was too complex, a hyperspectral image classification method based on multi-scale proximal feature concatenate network (MPFCN) was designed.By introducing multi-scale filter and cavity convolution, the model could be kept light and the discriminative features of the space spectrum could be obtained, and the correlation between the proximal features of the CNN was proposed to further enhance the detail expression.Experimental results on three benchmark hyperspectral image data sets show that the proposed method is superior to other classification models.…”
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Through-Wall Image Enhancement Based on Singular Value Decomposition by Muhammad Mohsin Riaz, Abdul Ghafoor

“…The scheme is capable of discriminating target, clutter, and noise subspaces. Information theoretic criterion is used with conventional singular value decomposition to find number of target singular values. …”
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ASSESSMENT OF POSSIBLE USE OF CARBON ISOTOPE RATIOS IN AMINO ACIDS FOR MEAT PRODUCT GEOGRAPHICAL ORIGIN IDENTIFICATION by A. I. Solovyev, I. V. Podkolzin

“…Upon results of isotope ratio (δ13C) determination in amino acids after gas chromatographic separation samples were classified using Support Vector Machines and linear discriminate analysis. Prognosis accuracy was 65-75%. …”
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