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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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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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). …”
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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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INSTITUTIONAL MODELLING OF THE MANAGEMENT SYSTEM FOR REGIONAL PARTICIPANTS OF DUAL EDUCATION by A. Yu. Kokovikhin, A. G. Mokronosov, E. S. Ogorodnikova

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Research on Wind Power Grid Integration Power Fluctuation Smoothing Control Strategy Based on Energy Storage Battery Health Prediction by Bin Cheng, Jiahui Wu, Guancheng Lv, Zhongbo Li

“…This study first adopts a Genetic Algorithm-Optimized Support Vector Regression (GA-SVR) model to predict the SOH of the energy storage system. …”
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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

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Pilot-scale process development for recombinant adeno-associated virus (rAAV) production based on high-density Sf9 cell culture by Xinran Li, Jieyi Gu, Haoquan Wu, Yuanyuan Xie

“…On the basis of the equal P/V principle and considering the problem posed by air bubbles, a pilot-scale level bioreactor process was established. Results Here, we describe a method in which a BEVS was used to produce rAAV vectors, with the cell density increasing to 22.8 × 106 cells/mL and the rAAV titre increasing to 20 × 1011 VG/mL upon adding feed material. …”
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Effective dimensional reduction of complex systems based on tensor networks by Wout Merbis, Madelon Geurts, Clélia de Mulatier, Philippe Corboz

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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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Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG by Subhodwip Saha, Barun Haldar, Hillol Joardar, Santanu Das, Subrata Mondal, Srinivas Tadepalli

“…Consequently, integrating such predictive models can substantially enhance the precision, reliability, and overall efficiency of welding processes.…”
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Fast Type-II Hartley Transform Algorithms for Short-Length Input Sequences by Marina Polyakova, Aleksandr Cariow

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Rhamnose-Positive Strains of Plague Agent: Virulence and Epidemiological Significance by A. A. Sludsky, Z. L. Devdariani

“…The second way of transmission of the pathogen to humans – vector-borne – is difficult due to the lack of migration of vole fleas from burrows to the surface and their low efficiency as vectors. …”
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Enhancing mosquito classification through self-supervised learning by Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

“…Overall, this model supports personnel in resource-constrained environments by facilitating mosquito vector density analysis and paving the way for future mosquito species identification methodologies.…”
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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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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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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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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

“…A method is proposed for fault classification in milling machines using advanced image processing and machine learning. First, raw data are obtained from real-world industries, representing various fault types (tool, bearing, and gear faults) and normal conditions. …”
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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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