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Influence of Source Term Algorithm on Irradiation Induced Microstructure Evolution Based on Cascade Collision Defect Database by Cluster Dynamics Method
Published 2024-06-01“…In order to test the rationality of the source term algorithms, the CD method was used to simulate the low-dose neutron irradiation of pure tungsten experiment in the HFIR reactor, and compared the defect cluster information. …”
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Identification of flood atmospheric patterns and simulation of rainfall to runoff conversion in Shiraz Watershed
Published 2023-12-01“…Synoptic results showed that the low altitude and cold-water trough at the level of 500 hPa in the eastern Mediterranean along with the dynamic low-pressure system in Iran caused surface air instability in Fars Province and by injecting moisture from the Persian Gulf to the massif. …”
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184
UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment
Published 2024-12-01“…The weighted total energy consumption of the proposed federated learning algorithm decreases by 10–15% compared with convex optimization, heuristic, and meta-heuristic algorithms.…”
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185
A dynamic examination of the digital circuit implementing the Fitzhugh-Nagumo neuron model with emphasis on low power consumption and high precision.
Published 2025-01-01“…Additionally, to further check the compatibility of the CORDIC-based FHN model with the original model, chaotic behaviors of both models on bifurcation and maximum Lyapunov exponent diagrams are investigated. …”
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186
Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches
Published 2025-02-01“…The proposed MPPT-T2FLC addresses key limitations of traditional MPPT methods, including the oscillations near the maximum power point (MPP) in incremental conductance (IC) algorithms and the reduced precision of type-1 fuzzy logic (T1FL) controllers under uncertain environmental conditions. …”
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Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.
Published 2025-01-01“…The speed response are compared in terms of the settling time, rise time, maximum time and maximum overshoot percentage. It is found that the suggested RL based TD3 give minimum settling time and relatively low values for the rise time, max time and overshoot percentage which makes the RL provide superior speed responses compared with those obtained from the four MHOT. …”
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189
Determining The Effect of Some Mechanical Properties on Color Maturity of Tomato With K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms
Published 2015-02-01“…This study was conducted in order to determine the effect of the mechanical properties such as maximum force at the skin rupture point, energy at the skin rupture point and the skin firmness on color maturity of tomato by supervised learning algorithms of data mining. …”
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190
Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network
Published 2024-12-01“…To address the problem of the large number of finite element model meshes and low solution efficiency, the wall thickness uniformity was predicted using a radial basis function (RBF) neural network, and parameter optimization was performed using the particle swarm optimization (PSO) algorithm. …”
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191
Superior terahertz radiation detection through novel micro circular log-periodic antenna engineered with an advanced evolutionary neural network algorithm
Published 2025-08-01“…Extensive characterization confirms that the proposed MCLPA achieves outstanding performance, including an ultra-broad operational bandwidth of 372 GHz (0.135–0.507 THz), a peak gain of 5.51 dBi, an optimal S-parameter (S 11) of −13.68 dB, and a maximum radiation efficiency of 82.39%. In addition, the MCLPA exhibits superior sensitivity, low noise susceptibility, and fast response, which are key attributes for reliable and precise THz detection. …”
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Improving heat exchanger fouling detection for phosphoric acid concentration units: A hybrid inverse approach integrating genetic algorithms and the Levenberg-Marquardt technique
Published 2025-09-01“…On the other hand, the hybridization between GA and LM shows a rapid convergence toward the global minimum with high precision, reaching a maximum relative error as low as 0.15 %, 0.10 %, and 0.12 % for the three studied heat exchangers. …”
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Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach
Published 2023-09-01“…BSD also causes a series of a peak in the power-voltage characteristics of the PV array, trapping traditional maximum Power Point Tracking (MPPT) methods in local peaks. …”
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194
Analysis of the Strength Development, CO<sub>2</sub> Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete
Published 2025-02-01“…Similarly, reducing the W/(C + FA) ratio from 0.50 to 0.30 also lowers the CO<sub>2</sub> emissions per unit of strength. Finally, a genetic algorithm was employed for the optimization of the low-carbon design. …”
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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring
Published 2025-07-01“…The approach leverages the maximum power point current ( $$\:{\text{I}}_{\text{mpp}}$$ ) and voltage ( $$\:{\text{V}}_{\text{mpp}}$$ ) measured directly from a PV module to predict irradiance, utilizing a Particle Swarm Optimization (PSO)-based Maximum Power Point Tracking (MPPT) algorithm to ensure accurate tracking of power output across varying irradiance levels. …”
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Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model
Published 2019-01-01“…An accelerated thermal degradation test was designed to gather luminous flux degradation data which was analyzed based on maximum likelihood estimation (MLE) and the method of moments (MM) to estimate the parameters for the GDD model. …”
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AESware: Developing AES-enabled low-power multicore processors leveraging open RISC-V cores with a shared lightweight AES accelerator
Published 2024-12-01“…We develop an operational algorithm for task scheduling in AESware, achieving maximum utilization and minimal latency while maintaining its lightweight nature. …”
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