Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…Results In binary classifications, we used ML techniques such as “support vector machine (SVM), random forest (RF), logistic regression (LR), and Gaussian naive Bayes (GNB),” and used BERT transformers “ARABERT.” …”
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Cloning and sequence analysis of myogenin gene in wild boar by XU Huai-liang, YAO Yong-fang, ZHU Qing, PAN Yang

“…The PCR products were ligated into the pMD-18T vector, and then transformed into competent cells of E. coli DH5a. …”
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Digital reconstruction of historic roof structures: developing a workflow for a highly automated analysis by Markus Pöchtrager, Gudrun Styhler-Aydın, Marina Döring-Williams, Norbert Pfeifer

“…The  developed  workflow  containsseveral  processing steps on the point cloud dataset. The most important among them arethenormal vector computation, the segmentation of points to extract planarfaces, a classification of planarsegmentsto detect the beam side facesand finally theparametric modelling of the beams on the basis of classified segments. …”
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Analysis of the promoters involved in enterocin AS-48 expression. by Rubén Cebrián, Sonia Rodríguez-Ruano, Manuel Martínez-Bueno, Eva Valdivia, Mercedes Maqueda, Manuel Montalbán-López

“…Seven putative promoters have been here amplified, and separately inserted into the promoter-probe vector pTLR1, to create transcriptional fusions with the mCherry gene used as a reporter. …”
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A model for tobacco growing area classification based on time series features of thermogravimetric analysis by Jiaxu Xia, Yunong Tian, Xianwei Hao, Yuhan Peng, Guanqun Luo, Zhihua Gan

“…Despite these challenges, the model achieves 86.4% accuracy on the test set, significantly surpassing the performance of the traditional Support Vector Machine model, which only achieves 68.2% accuracy. …”
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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…The well-known classification algorithms are focused on the post-processing of hydroacoustic information, have high computational complexity and cannot be implemented in devices with limited computing resources. …”
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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…In order to reduce the influence of irregular characteristics in the vibration signal and simplify the complexity of the vibration signal, the wavelet transform and the support vector machine model are combined, according to the degradation after decomposition. …”
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Characteristics of factors affecting the sustainable development of agricultural enterprises by Nadvodnyuk О.

“…The article examines the factors that influence the sustainability of the agricultural enterprise, as well as approaches to determining the vector of their influence on achieving sustainability and developing practical recommendations for strengthening (weakening) their action. …”
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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

“…The efficiency of the proposed solution is proved by comparing it with various state-of-the-art approaches such as support vector machine (SVM), ELM, and particle swarm optimization (PSO) methods. …”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…As a result of the training process, word sequences are mapped to a low-latitude vector space, generating corresponding answers. …”
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Baculovirus enhances arginine uptake and induces mitochondrial autophagy to promote viral proliferation. by Shigang Fei, Junming Xia, Yigui Huang, Minyang Zhou, Biying Xie, Yibing Kong, Luc Swevers, Jingchen Sun, Min Feng

“…Baculovirus is an important biopesticide and a vector for the preparation of biological products. …”
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DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative. by Said A Salloum, Khaled Mohammad Alomari, Ayham Salloum

“…This study addresses this challenge by employing two advanced machine learning models, NuSVC (Nu-Support Vector Classification) and XGBoost (Extreme Gradient Boosting), to classify DNA sequences related to Diabetes Mellitus. …”
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Alzheimer disease stages identification based on correlation transfer function system using resting-state functional magnetic resonance imaging. by Doaa Mousa, Nourhan Zayed, Inas A Yassine

“…This study investigates the effectiveness of using correlated transfer function (CorrTF) as a new biomarker to extract the essential features from rs-fMRI, along with support vector machine (SVM) ordered hierarchically, in order to distinguish between the different AD stages. …”
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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques by Rabita Hasan, Sheikh Md. Rabiul Islam

“…To categorize emotional states, we used four classifiers: K-Nearest Neighbors (KNN), Support Vector Machine (SVM), XGBoost and Gradient Boosting. …”
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Monetary policy spillovers in a fragmented world: the role of geopolitical risk pre- and post-COVID-19 pandemic by Anh Tram Luong, Anh Thi Phuong Nguyen, Quynh Thu Nguyen

“…Design/methodology/approach – The time-varying parameter vector autoregressive (TVP-VAR) method is used to investigate the dynamic interconnectedness of monetary policy across the six countries. …”
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Virtual measurement system for UHF-transistor amplifiers by Alexander D. Tupitsyn

“…VMS interface is a 3-D-rendered on a computer screen front panel of a virtual vector network analyzer with a device under test connected to its test ports.Results. …”
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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

“…The most studied algorithms in research articles are Random Forest, Extreme Gradient Boosting, and support vector machines. They are preferred due to their performance in processing incomplete clinical data. …”
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QUADRATURE MEASUREMENT METHOD FOR COMPLEX PARAMETERS OF MICROWAVE TWO-POLES by Yu. B. Gimpilevich, S. E. Zebek

“…The paper describes the experimental unit in the form of vector measuring line that implements the quadrature method of measurement. …”
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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…Subsequently, the loss function of the framework is solved by an alternating optimization process where Support Vector Machine (SVM) classifiers are constructed for optimization. …”
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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

“…This two-step procedure streamlines the process for researchers to compare different classification techniques.…”
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