Quantum Field Tensor Model of Telecommunication Network Objects Interaction Based on Lie Groups by Victor Tikhonov, Yevhen Vasiliu, Eduard Siemens, Oksana Vasylenko, Olena Tykhonova, Kateryna Shulakova, Olexandr Demchenko

“…The metric and torsion tensors are combined to form a complex vector system, effectively representing the intrinsic interaction dynamics between network objects. …”
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Regulatory systems and requirements for clinical trials of AAV-based gene therapies – Perspectives from six Asian countries or regions: Report from the 6th Asia Partnership Confere... by Hirokuni Mizoguchi, Alex J. Zhang, Pawan Kumar Gupta, Masato Komuro, Wong Kum Cheun, Chuan Wen Chiu, Bryan Choi

“…Gene therapies, which include viral-vector gene delivery, genome editing, and genetically modified cell therapy, are innovative treatments with the potential to address the underlying genetic causes of disorders and to provide life-changing value in terms of curing disease. …”
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Comparative Analysis of Text Mining Classification Algorithms for English and Indonesian Qur’an Translation by Rahmat Hidayat, Sekar Minati

“…Indonesian translation was processed by using the sastrawi package in Python to do the pre-processing and StringToWord Vector in WEKA with the TF-IDF method to implement the algorithms. …”
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Hydrated Electrons in Phase-Matching Generation of Second-Order Stokes X-Waves in Water by Xinxin Chen, Qing Zhou, Zhongyang Wang

“…The induced wave vector from high-density hydrated electrons led to angle-dependent phase-matching for the generation of the off-axis X-wave. …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The preparation and preliminary processing of images contains the following constituents like detection and localization of area of the person on the image, assessment of an angle of rotation and an inclination, extension of the range of brightness of pixels and an equalization of the histogram to smooth the brightness and contrast characteristics of the processed images, scaling of the localized and processed area of the person, creation of a vector of features of the scaled and processed image of the person by a Principal component analysis (algorithm NIPALS), training of the multiclass SVM-classifier.The provided algorithm of expansion of the training selection is oriented to be used in practice and allows to expand using 3D-models the processed range of 2D – photographs of persons that positively affects results of identification in system of face recognition. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…An assessment of the computational efficiency of the methods showed that the cyclic approach is about three times higher than the matrix-vector approach in terms of consumed time, which is presumably associated with the processing of insignificant elements in triangular matrices when performing component-by-component operations. …”
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Local over-expression of VEGF-DΔNΔC in the uterine arteries of pregnant sheep results in long-term changes in uterine artery contractility and angiogenesis. by Vedanta Mehta, Khalil N Abi-Nader, Panicos Shangaris, S W Steven Shaw, Elisa Filippi, Elizabeth Benjamin, Michael Boyd, Donald M Peebles, John Martin, Ian Zachary, Anna L David

“…Here we examined the effect of Ad.VEGF-DΔNΔC vector encoding a fully processed form of VEGF-D, on the uteroplacental circulation.…”
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Progress towards elimination of onchocerciasis transmission in Mali: A "pre-stop MDA" survey in 18 transmission zones. by Housseini Dolo, Michel Emmanuel Coulibaly, Moussa Sow, Yaya Ibrahim Coulibaly, Mama Doumbia, Moussa Sangare, Abdoul Sanogo, Benoit Dembele, Boubacar Guindo, Mamadou Coulibaly, Modibo Keita, Lamine Soumaoro, Dansine Diarra, Boubacar Dicko, Louise Hamill, Seydou Doumbia, Hamadoun Sangho, Yacouba Sangare, Yaobi Zhang, Jamie Tallant, Alpha Seydou Yaro, Charles Mackenzie, Thomas B Nutman, Daniel Boakye

“…<h4>Background</h4>Onchocerciasis control activities in Mali began in 1975 with vector larviciding carried out by the Onchocerciasis Control Programme (OCP), followed by the distribution of ivermectin from 1998 until the closure of the OCP in 2002. …”
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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

“…Our findings indicate that Apache Spark&#x2019;s in-memory processing and distributed computing capabilities provide effective scalability, allowing these models to handle large-scale data with linear increases in processing time. …”
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The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance by Zhixuan Jia, Wang Li, Yunlong Jiang, Xingshen Liu

“…Time series data are fundamental for analyzing temporal dynamics and patterns, enabling researchers and practitioners to model, forecast, and support decision-making across a wide range of domains, such as finance, climate science, environmental studies, and signal processing. In the context of high-dimensional time series, the Vector Autoregressive model (VAR) is widely used, wherein each variable is modeled as a linear combination of lagged values of all variables in the system. …”
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Improved HLLL Lattice Basis Reduction Algorithm to Solve GNSS Integer Ambiguity by Kezhao Li, Chendong Tian, Yingxiang Jiao, Zhe Yue

“…Lattice reduction is divided into scale reduction and basis vector exchange. The scale reduction has no direct impact on the subsequent search efficiency, while the basis vector exchange directly impacts the search efficiency. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“…In this study, we propose the Student Sentiment from Feedback (SSF) framework, which includes four main procedures: pre-processing, feature selection, classification, and theme finding. …”
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Using text embeddings for deductive qualitative research at scale in physics education by Tor Ole B. Odden, Halvor Tyseng, Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Anders Malthe-Sørenssen

“…Using a natural language processing technique known as text embeddings, we create vector-based representations of texts in a high-dimensional meaning space within which it is possible to quantify differences in meaning as vector distances. …”
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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…To validate this technique, Support Vector Machine classifier is used as well as three evaluation measures including precision, recall and F-measure. …”
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A hybrid VMD-LSTM-SVR model for landslide prediction by Nianhong Wang, Meijun Wang, Jun Zhang

“…This study employs the Long Short-Term Memory (LSTM) neural network and Support Vector Regression (SVR), combined with the Variational Mode Decomposition (VMD) algorithm, to construct predictive models. …”
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Tensor Calculus in Digital Colorimetry by Y. N. Saukova, M. A. Hundzina

“…From the point of view of measurement, a digital image can be represented by a combinatorial model of an information and measurement channel with the appearance of the phenomenon of a color covariance hypercube requiring a significant amount of memory for data storage and processing. The transition from the covariance hypercube to high-dimensional matrices and tensors of the first, second and higher ranks provides the prospect of optimizing the color parameters of a digital image by the criterion of information entropy.Tensor calculus provides opportunities for expanding the dynamic range in color measurements describing multidimensional vector fields and quantized spaces with indexing tensors and decomposing them into matrices of low orders.The proposed complex approach based on tensor calculus. …”
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METHODOLOGY OF EVALUATING THE EFFICIENCY OF INFORMATION SUPPORT FOR DECISION-MAKING IN THE MANAGEMENT OF COMPLEX DYNAMIC OBJECTS by Yuriy V. Silenok, Vadim L. Yakovlev

“…Abstract. Objectives The process of managing complex dynamic objects and systems is inevitably connected with the problem of the effectiveness of providing qualitative support information for making managerial decisions. …”
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Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting by Bambang Kun Cahyono, Muhammad Hidayatul Ummah, Ruli Andaru, Neil Andika, Adjie Pamungkas, Hepi Hapsari Handayani, Paramita Atmodiwirjo, Rory Nathan

“…Machine learning methods, including Support Vector Regression, Gradient Boosting Regression, Random Forest, and Deep Neural Networks, were applied. …”
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…This means that in this process, the vector and topology of the deep neural network are adjusted using the CapSA algorithm in such a way that the training error is minimized. …”
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Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images by Mahsa Raisi-Nafchi, Mahnoosh Tajmirriahi, Hossein Rabbani, Zahra Amini

“…Three classification algorithms were evaluated: support vector machine, K-nearest neighbor, and random forest. …”
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