Digital Signal Processing Approach in Air Coupled Ultrasound Time Domain Beamforming by Krzysztof HERMAN, Tadeusz GUDRA, Joanna FURMANKIEWICZ

“…During the research the team used a self-constructed linear array of MEMS microphones. Knowledge in the field of sonar systems was utilized to analyse and design a location system based on a microphone array. …”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. …”
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USE OF GEOINFORMATION TECHNOLOGIES IN AN GEOECOLOGICAL EVALUATION FOR SUSTAINABLE DEVELOPMENT OF NATURAL AND TECHNOGENIC COMPLEXES by N. O. Guseynova

“…Methods. Researches in field conditions and methods of chemical analyses of samples are conducted. …”
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Support Vector Machine and Granular Computing Based Time Series Volatility Prediction by Yuan Yang, Xu Ma

“…With the development of information technology, a large amount of time-series data is generated and stored in the field of economic management, and the potential and valuable knowledge and information in the data can be mined to support management and decision-making activities by using data mining algorithms. …”
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Numerical Investigation of Large Wood Evolution Characteristics Transported by Flash Floods by SONG Siyuan, FEI Gaogao, WANG Xiekang

“…Currently, most numerical models primarily consider the coupling of two-dimensional flow fields with two-dimensional large wood motion models (2D-2D) or three-dimensional flow fields with two-dimensional large wood motion models (3D-2D). …”
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Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow by Shu Dai, Lei Liang, Ke Jiang, Hui Wang, Chengyi Zhong

“…Although Taylor’s frozen hypothesis has a theoretical advantage in non-intrusive velocity detection, current research focuses on planar flow fields, and its applicability in turbulent circular pipes remains controversial. …”
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Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover by Rongpeng He, Jihua Meng, Yanfei Du, Zhenxin Lin, Xinyan You, Xinyu Gao

“…In this paper, the STN content was selected as the study subject, and three aspects of soil spectral feature enhancement, multi-source remote sensing data differentiated fusion, and STN content inversion model construction were studied. Therefore, a differentiated fusion of enhanced multispectral image bands (DFE_MSIBs) method combined with Random Forest (RF) algorithms was developed for spectral inversion of STN content. …”
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A Bibliometric Review of Type-3 Fuzzy Logic Applications by Fevrier Valdez, Oscar Castillo, Patricia Melin

“…The contribution of this paper is to analyze and review, in the best way possible, applications in several fields utilizing type-3 fuzzy logic systems. Recently, many algorithms are receiving more and more attention in this area, and for this reason, an overview of this field is important. …”
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Invariant Characteristics of Forced Oscillations of a Beam with Longitudinal Compression by Sergey D. Glyzin, Mikhail Vladimirovich Lokhanin, Dmitry Mikhailovich Sirotin

“…Based on the developed algorithms the dependence of β- statentropy on the frequency of the external action is constructed. …”
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Narratives, Frontier Technologies, and the Law (Part II): Towards a Feminist Turn in Law and Technology by Syamsuriatina binti Ishak, Henrique Marcos

“…Through analyses of artificial intelligence, genome editing, algorithmic moderation, and user-generated content in video games, the authors show that law is not merely reactive to technological innovation but also actively constructs and contests the narratives that define what is possible, permissible, and just. …”
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Research on Credit Risk Prevention in Supply Chain Finance Driven by Blockchain by Lin Kejing

“…With the government’s emphasis on the blockchain and supply chain industry and increased policy support, the field shows a bright future. Nonetheless, the traditional supply chain finance model faces numerous challenges. …”
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Applying an optimized low risk model for fast history matching in giant oil reservoir by Mojtaba karimi, Ali Mortazavi, Mohammad Ahmadi

“… History matching is still one of the main challenging parts of reservoir study especially in giant brown fields with lots of wells. In these cases, history matching with conventional manual technique needs many runs and takes months to get a match. …”
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A systematic approach to the scale separation problem in the development of multiscale models. by Pinaki Bhattacharya, Qiao Li, Damien Lacroix, Visakan Kadirkamanathan, Marco Viceconti

“…The definition is used to construct a multiscale modelling methodology from start to finish, beginning with a description of the system (portion of reality of interest) and ending with an algorithmic orchestration of mathematical models at different scales within the system. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…As an emerging rapid manufacturing technology, 3D printing has been widely applied in numerous fields such as aerospace, shipbuilding, and wind power, by virtue of its advantage in efficiently fabricating components with complex structures and integrated functions. …”
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Evaluating Leaf Water Potential of Maize Through Multi-Cultivar Dehydration Experiments and Segmentation Thresholding by Shuanghui Zhao, Yanqun Zhang, Pancen Feng, Xinlong Hu, Yan Mo, Hao Li, Jiusheng Li

“…In this study, leaf dehydration experiments of three maize cultivars were applied to provide a dataset covering a wide range of <i>Ψ_leaf</i> variations, which is often challenging to obtain in field trials. The analysis screened published VIs highly correlated with <i>Ψ_leaf</i> and constructed a model for <i>Ψ_leaf</i> estimation based on three algorithms—partial least squares regression (PLSR), random forest (RF), and multiple linear stepwise regression (MLR)—for each cultivar and all three cultivars. …”
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An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines by Pengzhen Zhao, Xichao Wang, Shuainan Yu, Xiangqing Dong, Baojiang Li, Haiyan Wang, Guochu Chen

“…High-quality datasets are essential for developing and validating artificial intelligence (AI) algorithms in coal mine safety monitoring and automation field. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

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THE CLASS OF PERFECT TERNARY ARRAYS by A. V. Sokolov, O. N. Zhdanov

“…In recent decades, perfect algebraic constructions are successfully being use to signal systems synthesis, to construct block and stream cryptographic algorithms, to create pseudo-random sequence generators as well as in many other fields of science and technology. …”
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A secure and efficient user selection scheme in vehicular crowdsensing by Min Zhang, Qing Ye, Zhimin Yuan, Kaihuan Deng

“…This scheme is not only applicable to VCS, but can also provide reference for other fields involving credit prediction and incentive mechanisms.…”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…Traditional methods often rely on limited well-logging data and empirical formulas to derive one-dimensional formation pressure models, which are inadequate for accurately reflecting the three-dimensional distribution of pore pressure in complex geological structures.MethodsTo address this challenge, this study leverages the temporal characteristics of well-logging and seismic data, employing the Mamba technique in conjunction with high-precision seismic inversion results, to construct a pore pressure prediction model. The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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