Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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Research on Combination of Random Zero-Vector PWM Controller by ZHANG Guangyuan, WU Zhiyou, JIANG Tao

“…Zero vector assignment factor K0 was introduced in SPWM, and with K0 contributing zero-vector U0 and U7 action time, special zero-vector PWM modulation methods could be obtained. …”
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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…To address this limitation, we propose segmentation of the autonomous driving environment using vector quantization. Vector quantization offers three primary advantages for road environment segmentation. (1) Each continuous feature from the encoder is mapped to a discrete vector from the codebook, helping the model discover distinct features more easily than with complex continuous features. (2) Since a discrete feature acts as compressed versions of the encoder’s continuous features, they also compress noise or outliers, enhancing the image segmentation task. (3) Vector quantization encourages the latent space to form coarse clusters of continuous features, forcing the model to group similar features, making the learned representations more structured for the decoding process. …”
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A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines by Eslam Mohammed Abdelkader, Tarek Zayed, Nehal Elshaboury

“…These methods encompass analytical hierarchy process (AHP), Monte Carlo AHP, fuzzy AHP, magnitude-based fuzzy AHP, total difference-based fuzzy AHP, spherical fuzzy AHP and Pythagorean fuzzy AHP. …”
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Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

“…The comparable performance of individual features to that of the combined feature sets indicates their strength as indicators of emotional processing in MDD. These findings provide valuable insights into the development of more reliable diagnostic tools and treatment monitoring strategies that focus on emotional processing in MDD.…”
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Early Invasion Process Monitoring of Spartina Alterniflora Using Long Time Series High-Resolution Satellite Remote Sensing Imagery by Guangbo Ren, Yabin Hu, Feng Lu, Yingfeng Zhou, Jianbu Wang, Peiqiang Wu, Yi Ma

“…<italic>Spartina alterniflora (S. alterniflora)</italic> rapidly invade new habitats by seed jumping propagation, and the early invasion process is characterized by discrete large patches and diffuse distribution small-scale patches. …”
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Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

“…This paper describes a supporting vector machine-based artificial intelligence algorithm as one of the possible solutions to the problem of random data processing and the provision of interactive indication for further actions. …”
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Skyrmion number for a generalized vector Poincaré beam by V.V. Kotlyar, A.A. Kovalev, A.M. Telegin

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Efficient Support Vector Regression with Reduced Training Data by Ling Cen, Quang Hieu Vu, Dymitr Ruta

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SOFTWARE OF VECTOR NETWORK ANALYZER IN MILLIMETER WAVE RANGE by D. A. Kondrashov, A. V. Gusinski, A. M. Kostrikin

“…A scheme for constructing Vector Network Analyzer of transmission and reflection coefficients (parameters S21 and S11) of the homodyne type with the formation quadrature signals based on the use of multi-point hardware shifter microwave signals in the frequency range 75-110 GHz is presented, provides a mathematical model for the processing of the quadrature signals and its implementation in the programming model.…”
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Vector-Based Seismic Decomposition by Reverse Time Methods by Agafonov Vadim, Bugaev Aleksandr, Erokhin Gennadiy, Ronzhin Andrey

“…The vector decomposition, which is the basis of a new method of seismic data processing Reverse Time Holography (RTH), is analyzed in detail. …”
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Smooth Local Interpolation of Surfaces Using Normal Vectors by Takashi Nagata

“…That is, (i) The algorithm is efficient and completely local requiring only the position vectors and normals given at the nodes of a patch, and hence it is suitable for parallel processing. …”
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An approach to dynamic visualization of heterogeneous geospatial vector images by A.V. Vorobev, G.R. Vorobeva

“…The paper proposes an approach that enables heterogeneous vector geospatial data to be integrated before subsequent processing, analysis and visualization. …”
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Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

“…It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. …”
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BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes by Thanadol Tuntiwongwat, Sippawit Thammawiset, Thongchai Rohitatisha Srinophakun, Chawalit Ngamcharussrivichai, Somboon Sukpancharoen

“…This study optimizes biomass chemical looping processes (BCLpro), a technique for converting biomass to energy, through machine learning (ML) for sustainable energy production. …”
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Effect of Load Vector Orientation on Uniaxial Compressive Strength of 3D Photoresin by Evgenii Kozhevnikov, Mikhail Turbakov, Evgenii Riabokon, Zakhar Ivanov, Andrei Golosov, Arina Panteleeva, Yan Savitsky

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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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Using the ASTER GDEM v.2 global digital elevation model to identify areas of possible activation of karst processes in the Arkhangelsk region (Russia) by E.V. Polyakova, Y.G. Kutinov, A.L. Mineev, Z.B. Chistova, T.Ya. Belenovich

“…The possibility of applying the method of detecting drainless depressions, which is used in hydrological correction of the digital elevation model, to identify areas of probable activation of the karst processes in the territory of the Arkhangelsk region was considered. …”
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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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Some comments on the assessment of students’ knowledge at the University by Darya I. Yareshchenko

“…This article is devoted to the study and modeling of the process of acquiring knowledge by students at the University. …”
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