An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

“…Among eight features of time-domain anaylsis, the selected feature is one to three features from RR-interval assesment, achieving 100% accuracy, sensitivity, specificity, and precision for ECG arrhythmia classification. …”
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The Impact of Cardiac Output Methods on the Classification of Pulmonary Hypertension by Léon Genecand, Gaëtan Simian, Mona Lichtblau, Jean‐Marc Fellrath, Julian Klug, Hugues Turbé, Christian Lovis, Stéphane Noble, Julie Wacker, Julian Müller, Roberto Desponds, Maurice Beghetti, Benoit Lechartier, David Montani, Olivier Sitbon, Silvia Ulrich, Frédéric Lador

“…The influence of the cardiac output measurement method on the classification of PH is poorly explored. We aimed to estimate the risk of diagnostic error when using COTD instead of CODF. …”
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Elementary Study on Gully Classification on the Qinghai-Xizang Plateau by LI Jianjun, JIAO Juying, CHEN Yixian, CAO Xue, CHEN Tongde, CHENG Yuzhuo, LIU Zuyan, ZHANG Zhixin, WANG Haolin, LIN Hong, CHEN Yulan, SHUI Junfeng

“…[Objective] Traditional gully classification systems focus on agricultural landscapes. …”
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Corrigendum on: Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques [Serb. Jour. of Elect. Eng., Vol. 21, No. 3, October 2024, 375-390] by Editorial

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Nasal Septal Deviation Classifications Associated with Revision Septoplasty by Karina Bayer, Johannes Brady-Praun, Gerold Besser, Faris F. Brkic, Markus Haas, Christian A. Mueller, David T. Liu

“…In primary surgeries, type 1 septal deviations were most common (60.3%), followed by type 5 (10.5%) and type 3 (10.0%). …”
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Group-Theoretical Classification of Orientable Objects and Particle Phenomenology by Dmitry M. Gitman, Aleksey L. Shelepin

“…On this basis, we develop a classification of orientable objects and draw attention to the possibility of connecting these results with particle phenomenology. …”
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Characterization and Classification of Soils of Abobo Area, Western Ethiopia by Teshome Yitbarek, Shelem Beyene, Kibebew Kibret

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Fractures around Trochanteric Nails: The “Vergilius Classification System” by Giuseppe Toro, Antimo Moretti, Daniele Ambrosio, Raffaele Pezzella, Annalisa De Cicco, Giovanni Landi, Nicola Tammaro, Pasquale Florio, Antonio Benedetto Cecere, Adriano Braile, Antonio Medici, Antonio Siano, Bruno Di Maggio, Giampiero Calabrò, Nicola Gagliardo, Ciro Di Fino, Gaetano Bruno, Achille Pellegrino, Giacomo Negri, Vincenzo Monaco, Michele Gison, Antonio Toro, Alfredo Schiavone Panni, Umberto Tarantino, Giovanni Iolascon

“…The research group considered four PNF main characteristics for the classification proposal: (1) fracture localization, (2) fracture morphology, (3) fracture fragmentation, and (3) healing status of the previous fracture. …”
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BASIC METHODS OF CLASSIFICATION AND CHARACTERISTICS OF METHODS OF PRICING IN UKRAINE by A. Boguslavskiy

“…Exposed the reasons of the absence of a universal classification of pricing methods. The approaches of different authors to classify groups of pricing methods: 1) the cost method; 2) methods with a focus on competition; 3) methods for pricing based on demand, 4) pricing with a focus on maximum profit, 5) parametric methods, 6) pricing under risk and uncertainty, etc. …”
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A Quantum-like Approach to Semantic Text Classification by Anastasia S. Gruzdeva, Rodion N. Iurev, Igor A. Bessmertny, Andrei Y. Khrennikov, Alexander P. Alodjants

“…Furthermore, the classification algorithm is readily amenable to optimization: the proposed procedure reduces the estimated computational complexity from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><msup><mi>n</mi><mn>2</mn></msup><mo>)</mo></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>.…”
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Rock image classification based on improved EfficientNet by Kai Bai, Zhaoshuo Zhang, Siyi Jin, Shengsheng Dai

“…Additionally, the model’s parameter count is significantly reduced to 3.38 million. The proposed model reduces the number of parameters while maintaining high recognition accuracy for rock image classification, providing a novel solution for intelligent rock recognition.…”
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Adaptive pixel attention network for hyperspectral image classification by Yuefeng Zhao, Chengmin Zai, Nannan Hu, Lu Shi, Xue Zhou, Jingqi Sun

“…Experimental results on four widely used HSI datasets IP, UP, HU, and KSC show that the proposed network is superior to other state-of-the-art classification models in accuracy, and it also has a better efficiency than other 3D works.…”
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FLUID-SENSITIVE SEQUENCES MODIFY THE MODIC CLASSIFICATION IN MRI by Eduardo Deroide do Nascimento, Marcelo Novelino Simão, Marcello Henrique Nogueira-Barbosa

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Pneumocentrifugal Classification of Dispersed Particles during Grain Milling by Olga N. Terekhova, Yana S. Duyunova

“…The experiment also involved the effect of air-flow rate and air-mix concentration on the classification efficiency. Particles from various grinding and break systems demonstrated classification modes that differed in soaring rate, size, and density. …”
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Integration of Multiple Biosensors for Emotion Classification with Artificial Intelligence by Cintia Ricaele Ferreira da Silva, Marcus Vinicius Costa Alves, Maria José Nunes Gadelha, Edgard Morya

“…After preprocessing, the data were input into LazyPredict, where the Extra Trees model consistently demonstrated the best performance for binary emotion classification. Our experience with LazyPredict proved to be practical and efficient, facilitating the exploration of high-performing models for emotion classification.…”
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Biowaiver based on biopharmaceutics classification system: Considerations and requirements by Pratik R. Dhake, Smita T. Kumbhar, Vinod L. Gaikwad

“…Due to high solubility and considerable permeability, BCS class I and class III drugs are highly preferred for biowaiver by regulatory agencies. …”
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Headache classification and aspects of reproductive life in young women by Eliana M. Melhado, Marcelo E. Bigal, Andressa R. Galego, João P. Galdezzani, Luiz P. Queiroz

“…Migraine without aura (MO) occurred in 13.3%, migraine with aura (MA) in 7.8%, and probable migraine in 6.4%. …”
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Weighted Classification of Machine Learning to Recognize Human Activities by Guorong Wu, Zichen Liu, Xuhui Chen

“…This paper presents a new method to recognize human activities based on weighted classification for the features extracted by human body. …”
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CLASSIFICATION SUPPORT VECTOR MACHINE IN BREAST CANCER PATIENTS by Siti Hadijah Hasanah

“…Support vector machine is one of the supervised learning methods in machine learning that is used in classification. The purpose of this study is to measure the accuracy of classification by using 3 hyperplane functions in SVM, namely linear, sigmoid, polynomial, and radial basis function (RBF). …”
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An Improved DoH Traffic Classification Method for XGboost by LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui

“… Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing speed and low detection efficiency, a dimension reduction method based on truncated singular value decomposition (TSVD) is proposed.Improved limit gradient boosting tree (IXGboost) with Bayesian optimization method for DoH Flow classification.This method classifies encrypted traffic into non-DOH traffic, benign DoH traffic and malicious DoH traffic by exposing data sets over the network.Experimental results show that the classification accuracy of the proposed method is more than 99%, and the processing time of each data is only 0.3ms, which proves that the proposed method has high accuracy and strong real-time performance, improves the performance of intrusion detection, and can effectively achieve accurate classification of DoH traffic.…”
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