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Thermal radiation and diffusion effects on MHD sisko fluid flow over a nonlinearly stretchable porous sheet
Published 2025-07-01“…Abstract This research delves into the intriguing dynamics of a magneto-Sisko fluid within a two-dimensional realm, shaped by the influence of a nonlinearly stretchable sheet nestled in a porous medium. …”
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14763
XFP-recognizer: detecting cross-file browser fingerprinting
Published 2025-07-01“…Abstract In recent years, the evolving browser fingerprinting technology has posed significant challenges and constant demands on detection methods. Research related to malicious code shows that cross-file techniques, which disperse code into multiple files, can resist current detection methods. …”
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14764
Dynamic Adaptive Parametric Social Network Analysis Using Reinforcement Learning: A Case Study in Topic-Aware Influence Maximization
Published 2025-01-01“…Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity. 2) Algorithms may be instance-dependent, relying considerably on network structure and characteristics, which may result in varying performance across different networks. 3) Most existing centrality measures are inherently static, which fail to capture the dynamic nature inherent in network analysis problems. …”
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14765
Designing a Photovoltaic–Wind Energy Mix with Energy Storage for Low-Emission Hydrogen Production
Published 2025-02-01“…In the subsequent stages of the research, the necessity of balancing the energy in power networks powered by a mix of renewable energy sources is demonstrated. …”
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14766
QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method
Published 2025-04-01“…According to recent research, the key contributors to greenhouse gas emissions in Internet include high energy consumption factors such as data centers, transmission network devices, and end-user devices. …”
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Control Optimization of Steam Boilers via Reinforcement Learning
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14770
Integration of the Adaptive Approach in HVAC System Operation: A Case Study
Published 2025-01-01“…Moreover, there is limited research as for the implementation of adaptive comfort models into the control system of buildings. …”
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14771
Counselling Career with Artificial Intelligence: A Systematic Review
Published 2024-03-01“…This systematic review aimed to review empirical research on leftist counseling careers with AI. This research applied SLR and evaluated Scopus, PubMed, Google Scholar, and Crossref databases. …”
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Prognostication of advanced CO2 capture using tunable solvents with an ensemble learning-based decision tree model
Published 2025-06-01“…Abstract This study presents a robust method for predicting CO2 solubility in Deep Eutectic Solvents (DESs) using the stochastic gradient boosting (SGB) algorithm. DESs, promising green solvents for CO2 capture, require precise solubility data for practical applications in industrial and environmental settings. …”
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14773
Optimized Software Implementation of Keccak, Kyber, and Dilithium on RV{32,64}IM{B}{V}
Published 2024-12-01“… With the standardization of NIST post-quantum cryptographic (PQC) schemes, optimizing these PQC schemes across various platforms presents significant research value. While most existing software implementation efforts have concentrated on ARM platforms, research on PQC implementations utilizing various RISC-V instruction set architectures (ISAs) remains limited. …”
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COMPUTER TOMOGRAPHY IN DIAGNOSIS OF DISEASES AND NEW FORMATIONS OF THE PROSTATE GLAND
Published 2017-07-01“…The cancer detection rate of preventive inspections using traditional research methods remains very low, and the timeliness of early diagnosis of tumors of the prostate gland determine the modern methods of X-ray imaging. …”
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Improving the System of Mandatory Requirements to Business under the Digital Transformation of Economy
Published 2023-08-01“…Objective: to elaborate scientifically substantiated proposals for improving the system of mandatory requirements in the sphere of business and other economic activity under formation of digital economy, taking into account the foreign experience of eliminating barriers for business and the available practice of legislation optimization in this sphere.Methods: the research methodological basis consists of traditional general and specific methods of scientific cognition: dialectical, formal-logical, historical-comparative, systematic, terminological, general logic methods (analysis, synthesis, generalization, induction, deduction, etc.), as well as special methods: historical-legal, formal-legal, and method of comparative jurisprudence.Results: the author investigated and systematized theoretical approaches and experience of improving the system of mandatory requirements in foreign countries and the Russian Federation; the possibilities of introducing the most successful innovative legal instruments and practices to improve the regulation of economic relations were considered. …”
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PECULARITIES OF SURGICAL APPROACH IN TREATMENT OF GASTROINTESTINAL STROMAL TUMORS
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Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques
Published 2022-01-01“…The best performance was demonstrated by the Bagging algorithm with an accuracy of 83.55% when using all the dataset features. …”
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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning
Published 2025-04-01“…Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. …”
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Comprehensive Performance-Oriented Multi-Objective Optimization of Hemispherical Resonator Structural Parameters
Published 2025-02-01“…In this study, a hemispherical resonator with a midplane radius of 10 mm serves as the research object. Based on a high-precision finite element simulation model of an ideal hemispherical resonator, the mechanism of thermoelastic damping and the influence of structural parameters on performance are analyzed. …”
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