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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments
Published 2025-05-01“…Beyond standalone algorithm performance, we analyze integration challenges within existing security protocols, revealing that naive implementation of PQC in TLS 1.3 can increase handshake size by up to 7× compared to classical approaches. …”
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3063
Evaluation and analysis of barriers to the innovation activity in the economy of the region
Published 2017-05-01“…This algorithm is determined on the basis of linguistic variables according to the matrix principle and linguistic identifi cation of economic objects. …”
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3064
The performance evaluation of chaotic maps in estimating the shape parameters of radial basis functions to solve partial differential equations
Published 2024-06-01“…Purpose: This study aims to investigate the potential of chaotic optimization algorithms in improving performance compared to other optimization methods, focusing on determining the appropriate shape parameter of radial basis functions for solving partial differential equations.Methodology: In this research, a two-stage process is employed where the Kansa method, based on meshless local techniques, is combined with the FCW method. …”
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3065
Structural health monitoring and evaluation method for an immersed tunnel based on deep learning
Published 2025-07-01“…It also compares the efficacy of two deep learning algorithms, Long Short-Term Memory (LSTM) and Transformer, in predicting structural conditions. …”
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A Novel Seal Packaging Structure Applied in Sub Miniature Push-On Connector Based on Ni47Ti44Nb9 Shape Memory Alloy Seal Ring
Published 2025-01-01“…Finally, to reduce the seal packaging leakage rate, the structural parameters of the seal ring are further optimized with an improved Adaptive Genetic Algorithm (IAGA), and the efficiency of the IAGA is verified through comparison with the conventional Adaptive Genetic Algorithm (AGA).…”
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3067
Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale
Published 2024-11-01“…The primary aim of this research is to develop and evaluate a novel optimization algorithm for accurate SOC prediction by leveraging multi-source environmental data. …”
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APOTHEOSIS: An efficient approximate similarity search system
Published 2025-02-01“…APOTHEOSIS overcomes them by combining advanced algorithms and data structures, enabling fast and accurate similarity analysis. …”
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A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries
Published 2025-03-01“…To do this, the DNs integrate energy storage systems with Distributed Generating Units (DGs). This research report attempts to accomplish too many goals at once. …”
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Synergistic sizing and energy management strategy of combined offshore wind with solar floating PV system for green hydrogen and electricity co-production using multi-objective dun...
Published 2025-03-01“…A novel optimization approach, Dung Beetle Optimization (DBO) algorithm, is utilized and compared with the Grey Wolf Optimizer (GWO) for performance validation. …”
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3072
Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM)
Published 2024-12-01“…The RNN and LSTM models were trained using the backpropagation through time (BPTT) algorithm to accurately forecast GTE operating parameters. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform
Published 2025-12-01Get full text
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SARE: an optimized method for detection functional regulatory elements in genome
Published 2025-04-01“…Abstract Background Metaheuristic algorithms have been widely employed to solve optimization problems, but their application in analyzing health-related data remains limited. …”
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Heuristic Global Optimization for Thermal Model Reduction and Correlation in Aerospace Applications
Published 2025-06-01“…In the context of increasingly complex thermal systems, traditional manual correlation methods are usually a time-consuming task. This research employs a series of numerical simulations using methods such as Genetic Algorithms, Cultural Algorithms, and Artificial Immune Systems, with an emphasis on parameter tuning to optimize the reduced thermal model correlation. …”
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Integrating user demographic parameters for mouse behavioral biometric-based assessment fraud detection in online education platforms
Published 2025-07-01“…Furthermore, few research studies focus on behavioral biometric-based assessment fraud detection in online education platforms. …”
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Published 2023-07-01Get full text
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