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A Novel Blind Deconvolution Method with Adaptive Period Estimation Technique and Its Application to Fault Feature Enhancement of Bearing
Published 2021-01-01“…The proposed method does not require precise prior fault period input, which greatly improves the fault recovery accuracy and application range of MCG-Lp/Lq-D. Eventually, simulated and experimental data verify the effectiveness and superiority of AMCG-Lp/Lq-D.…”
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Development and Evaluation of an Electromechanical Flowmeter for Volumetric Flow Measurement: Applications in Wastewater-based Epidemiology and Microplastic Monitoring in Aquatic E...
Published 2025-05-01“…To address the need for reliable and cost-effective flow data, in this study a low-cost electromechanical flowmeter was developed. …”
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13685
APPLICATION OF FUZZY COGNITIVE MODELS TO ASSESS THE BALANCE OF ELEMENTS OF THE SYSTEM OF SCIENTIFIC SUPPORT AND COMMERCIALIZATION OF INNOVATIONS IN THE AGRO-INDUSTRIAL COMPLEX
Published 2024-01-01“…Analysis and assessment of the influence of factors on each other and on the system as a whole was carried out on the basis of regression analysis using the example of 84 regions of Russia using data for 2021-2022. The greatest impact on the volume of shipped innovative goods, considered as the main concept, was exerted by the determinants "The share of organizations implementing technological innovations" and "The ratio of the salaries of scientific workers to the average salary in the region", other concepts are characterized by weak or negative dependencies. …”
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13686
Fractional Inclusion Analysis of Superquadratic Stochastic Processes via Center-Radius Total Order Relation with Applications in Information Theory
Published 2025-06-01“…These processes serve as a powerful tool for modeling uncertainty in stochastic systems involving interval-valued data. By utilizing their intrinsic structure, we derive sharpened versions of Jensen-type and Hermite–Hadamard-type inequalities, along with their fractional extensions, within the framework of mean-square stochastic Riemann–Liouville fractional integrals. …”
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13688
Loading of anionic surfactant on eco-friendly biochar and its applications in Cr(VI) removal: adsorption, kinetics, and reusability studies
Published 2025-01-01“…The pseudo-second-order kinetic model best described the removal process, according to the kinetic data, while the Temkin model, one of the applicable adsorption isotherm models, well expressed the adsorption process. …”
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Application of a high-resolution melt assay for monitoring SARS-CoV-2 variants in Burkina Faso and Kenya
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Design of A Web-Based Community Administration Application Using the Agile Scrum Method in the Tanjung Lengkong RT Environment
Published 2025-07-01“…Ideally, this technological advancement can be utilized to improve service efficiency, data transparency, and more effective communication between RT administrators and their residents. …”
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PAuthKey: A Pervasive Authentication Protocol and Key Establishment Scheme for Wireless Sensor Networks in Distributed IoT Applications
Published 2014-07-01“…Wireless sensor Networks (WSNs) deployed in distributed Internet of Things (IoT) applications should be integrated into the Internet. …”
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A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation
Published 2025-08-01“…The proposed HFT framework captures hesitation more effectively by organizing hesitant fuzzy data within tensorial structures, enabling more comprehensive analysis in group decision-making scenarios. …”
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Architecture of an integrated java application for log analysis to detect computer attacks in information systems by responding to various security anomalies
Published 2025-04-01“…The research used methods of analyzing information in information system logs, static analysis methods, programming for application development, and data processing algorithms.Result. …”
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G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications
Published 2025-07-01“…We validate G-CTRNN on the WISDM human activity dataset, which simulates realistic wearable sensor data for healthcare monitoring. Compared to conventional RNNs, G-CTRNN achieves superior classification accuracy with fewer parameters and greater stability—enabling continuous, real-time HAR on low-power platforms such as MEMS computing networks. …”
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