Geochemical-process extraction and interpretation using matrix factorization: a framework for verifying effectiveness through forward modeling and inversion analysis by Tatsu Kuwatani, Shotaro Akaho, Shotaro Akaho, Kengo Nakamura, Takeshi Komai

“…To quantitatively validate the extracted basis vectors, we estimated elemental mobility parameters during weathering and compared them with known values in the synthetic dataset, demonstrating the applicability of our approach in quantifying geological processes. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…We report a new computational approach to systematically search for SAR transfer series that combines an AS alignment algorithm with context-depending similarity assessment based on vector embeddings adapted from natural language processing. …”
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A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

“…Therefore, in order to solve the AMT vibration monitoring problem and enhance the diagnostic efficiency, this study proposes an AMT fault diagnosis model based on particle swarm optimization (PSO) to optimize the parameters of wavelet packet transform (WPT) and support vector machine (SVM).The optimal vibration signal acquisition point is determined by finite element analysis to ensure high signal quality. …”
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Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach by Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna

“…New energy infrastructure designs benefits from these findings that support hydrogen as a clean energy vector while enhancing industrial liquefaction procedures.…”
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MODELING THE TRANSFER EFFECT OF EXCHANGE RATE ON PRICES IN RUSSIA by M. G. Tiunova

“…The study is based on the apparatus of structural vector autoregressions, evaluated using Bayesian methods. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. The dataset was randomly split using the scikit-learn package to facilitate both training and evaluation. …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…The machine learning approach that is used in this study is the Least Square Support Vector Machine LS-SVM to categorize the diabetes patients. …”
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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…Three nonparametric algorithms were trained, i.e., Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Partial Least Square Regression (PLSR). …”
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Fast Type-II Hartley Transform Algorithms for Short-Length Input Sequences by Marina Polyakova, Aleksandr Cariow

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Development of cell-based assay for detecting replication-competent adeno-associated virus by qPCR by Aishwarya Shevade, John S. Reeves, Hanne Bak, Andrew D. Tustian

“…The optimized assay is performed at a 2 mL scale, minimizes the generation of false-positive results, and achieves a reportable result of 1 rcAAV per 106 vector genomes. The same approach for rcAAV method development can be expanded to all other AAV serotypes, providing means for substantially improving process development and product safety.…”
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Use of New Methods to Determine the Inputs Effective in Estimating Soil Temperature by Babak Mohammadi

“…In this research, an estimate of the depth of 10 cm in the soil of the Synoptic Station of Tabriz in East Azerbaijan province was carried out using artificial neural network (ANN) and backward vector machine (SVM). Two main component analysis (PCA) and gamma (GT) tests were used for pre-processing data and input data. …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…This paper aims to develop an inverse modeling MOEA based on decomposition that employs an incremental learning-based support vector regression (SVR) model, as an alternative to the Gaussian process model, in order to improve the quality of obtained solutions and speed up convergence of the algorithm. …”
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The Bioengineering of Insect Cell Lines for Biotherapeutics and Vaccine Production: An Updated Review by Michał Sułek, Agnieszka Szuster-Ciesielska

“…Initial successes, along with advancements in the use of insect cells for recombinant protein manufacturing, primarily relied on baculovirus expression vector systems (BEVSs), which enable heterologous gene expression in infected cells. …”
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Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM by Zhiqiang FENG, Xianping ZENG, Naiwen FANG, Daidi ZHAO, Quan LI, Jiutian LUO, Xin LI

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Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm by Hongya Bian, Deqing Li, Yuang Liu, Rong Ma, Wenyi Zeng, Zeshui Xu

“…We first analyze the characteristics of hesitant fuzzy number (HFN) and define the concept of feature vector of HFN. Then, applying the feature vectors of HFNs, some new similarity measures of HFNs are presented, which do not need to add elements to the HFN with fewer elements in the calculation process. …”
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Estimation of S-parameters and dielectric permittivity of quartz ceramics samples in millimeter waveband by N. A. Pevneva, D. A. Kondrashov, A. L. Gurskii, A. V. Gusinsky

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Theoretical Foundations of Digital Content Integrity Expertise by Bobok I.I., Kobozieva A.A.

“… In the context of the rapid development of information technologies, their implementation in the process of functioning of critical infrastructure, in particular energy, of any state is extreme-ly relevant. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…These optimized features are then classified using a support vector machine, effectively distinguishing between fault types and normal conditions with high accuracy. …”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…Finally, the data after oblique projection preprocessing is processed by robust adaptive beam nulling to suppress the sidelobe interference. …”
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