Optimization of Precoding Phase Distribution for Frequency-Multiplication Vector Signal Generation by Xinying Li

Subjects: “…Photonic vector signal generation…”
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Mathematical modeling and numerical simulation of supercritical processing of drug nanoparticles optimization for green processing: AI analysis. by Khalid Aljohani

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A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models by Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh

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A Comparative Study of Image Processing and Machine Learning Methods for Classification of Rail Welding Defects by Mohale Emmanuel Molefe, Jules Raymond Tapamo, Siboniso Sithembiso Vilakazi

“…Defects formed during the thermite welding process of two sections of rails require the welded joints to be inspected for quality, and the most used non-destructive method for inspection is radiography testing. …”
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Exploration of physics-related latent vectors in hot working of Inconel 718 superalloy using autoencoder by Min Jik Kim, Seon Yeong Yang, Woo Seok Yang, Sehyeok Oh, Sang Min Park, Da Seul Shin

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Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer by Marta P. Rueda, Ana Domínguez-Vidal, Víctor Aranda, María José Ayora-Cañada

“…Samples were collected at different stages of maturity from a full-scale facility that processes olive mill semi-solid residue together with olive tree pruning residue and animal manure. …”
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An Electromagnetic Field Concentrator for Process Chambers by Piotr Paplicki, Piotr Strobejko

“…This paper describes selected results of the design and optimization of an electromagnetic field concentrator (MFC) for process chambers. On the basis of 2D/3D FE analysis, it was confirmed that the presented new structure for an electromagnetic field concentrator with three-phase windings and an additional DC central coil excites, in the working space of the device, a steady or time-varying magnetic field with adjustable peak value, pulsation amplitude and vector magnetic field orientation. …”
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Methods of optimal subbands signal processing by Eugene G. Zhilyakov, S. P. Belov

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Information Factor in the Dynamics of Contemporary Geopolitical Processes by A. V. Vilovatykh

“…It requires a principally new methodology in evaluating and forecasting geopolitical processes. Nowadays it makes sense to speak of information factor of geopolitical dynamics, which shapes a new quality of geopolitical space.…”
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Development of View Optimization Techniques for Structural Monitoring Systems Using Post-Processing of Structural Analysis and Image Processing by Yonghui Park

“…The optimization process applied image processing methods to detect deformation areas, while performance was evaluated at each iteration and saved when improvements were found. …”
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Total progeny in the near-critical multi-type Galton-Watson processes with immigration by T. B. Lysetskyi

“…Our focus is on the random vector $Y_n$, representing the total number of particles across all generations up to generation $n$, commonly called the total progeny, in near-critical multi-type Galton-Watson processes with immigration. …”
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W-Band Vector Millimeter Wave Signal Generation Based on Intensity Modulators Without DAC by Yitong Li, Jianguo Yu, Naibo Zhang, Kun Deng, Guangyao Yang, Ruiliang Song

“…In this scheme, DAC and additional digital signal processing are omitted at the transmitter, and double bit rate can be obtained at the user end. …”
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Spectral Fingerprinting of Tencha Processing: Optimising the Detection of Total Free Amino Acid Content in Processing Lines by Hyperspectral Analysis by Qinghai He, Yihang Guo, Xiaoli Li, Yong He, Zhi Lin, Hui Zeng

“…This study employs VNIR-HSI combined with machine learning algorithms to develop a model for visualizing the total free amino acid content in Tencha samples that have undergone different processing steps on the production line. Four pretreating methods were employed to preprocess the spectra, and partial least squares regression (PLSR) and least squares support vector machine regression (LS–SVR) models were established from the perspectives of individual processes and the entire process. …”
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Features of construction of evaluation algorithms multidimensional random processes by A. A. Lobaty, A. Y. Bumai

“…It is assumed that the random process which is evaluated and the meter output according mathematical description of the problem are vector random processes. …”
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On multivariate polynomials achievable with quantum signal processing by Lorenzo Laneve, Stefan Wolf

“…Characterizing which polynomials can be achieved with QSP protocols is an important part of the power of this technique, and while such a characterization is well-understood in the case of univariate signals, it is unclear which multivariate polynomials can be constructed when the signal is a vector, rather than a scalar. This work uses a slightly different formalism than what is found in the literature, and uses it to find simpler necessary conditions for decomposability, as well as a sufficient condition – the first, to the best of our knowledge, proven for a (generally inhomogeneous) multivariate polynomial in the context of quantum signal processing.…”
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Predictability in process-based ensemble forecast of influenza. by Sen Pei, Mark A Cane, Jeffrey Shaman

“…Process-based models have been used to simulate and forecast a number of nonlinear dynamical systems, including influenza and other infectious diseases. …”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…In case of solving particular string processing problems and using more suitable for these cases data structures such as vector or map the implemented operations have disadvantages meaning they are inferior in terms of the amount of data processed per time unit. …”
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Perbandingan Metode Random Forest, Convolutional Neural Network, dan Support Vector Machine Untuk Klasifikasi Jenis Mangga by Ricky Mardianto, Stefanie Quinevera, Siti Rochimah

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An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model by Gaurav Agarwal, Hari Om

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Predicting Health Spending in Turkey Using the GPR, SVR, and DT Models by Didem Güleryüz

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