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1921
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1922
Quadripartitioned Neutrosophic Soft Pre - Open And Pre - Closed Sets
Published 2025-05-01“…In order to establish the efficacy of the proposed method, we derive the mathematical formulations for the mean square error (MSE), bias, and the minimum MSE of the estimator, providing approximations up to the first order. …”
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1923
Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations
Published 2025-01-01“…Finally, the MAC design uses 16-bit FP arithmetic with an <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> mantissa multiplier for the CNN accelerator is developed, and it is validated with suitable error metrics like Mean Relative Error (MRE) to assess the suggested architecture for AI applications.…”
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1924
A Complex Wavelet-Based OTFS Scheme for LEO Satellite Communication
Published 2025-01-01“…The discrete wavelet transform (DWT) underlying the complex input signals (high-order modulation) is not applicable in the W-OTFS system because of increased performance errors and peak power. …”
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1925
Different Estimation Methods Using Ranked Set Sampling for the Ramos–Louzada Distribution
Published 2025-06-01“…This analysis demonstrates the applicability of these techniques in the real world and emphasizes their worth and efficacy for investigation and decision‐making.…”
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1926
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1927
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1928
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1929
Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach Using an Evolutionary Algorithm and Machine Learning
Published 2024-11-01“…This study also explores the application of fluidic thrust vectoring for small rockets, providing an innovative solution to enhance maneuverability and control, especially at low speeds. …”
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1930
The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U...
Published 2025-02-01“…Mathematical models of combustion and its variability were created using the mean, peak-to-peak amplitude, root mean square error, and peak amplitudes of vibration accelerations, which were also represented using vibration graphics. …”
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1931
Improving the Efficiency of Essential Oil Distillation via Recurrent Water and Steam Distillation: Application of a 500-L Prototype Distillation Machine and Different Raw Material...
Published 2025-06-01“…The obtained results can be further developed and expanded to promote the application of this method in SMEs, serving as basic information for the development of the EO distillation industry.…”
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1932
Application of drug information cards in drug safety management in clinical settings (口服药图集卡在临床安全用药管理中的应用)
Published 2021-03-01“…The rate of implementation of health education on medication among nurses increased from 80. 50% before implementation to 99. 40% after implementation. Conclusion The application of drug information cards is help to increase pharmacological knowledge level of nurses and reduce medication error. …”
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1933
Robust SAR Change Detection Using Hierarchical Clustering With Adaptive Parameter Tuning
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1934
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1935
Relações matemáticas entre porosidade drenável e condutividade hidráulica do solo saturado Mathematical relationships between drainable porosity and saturated soil hydraulic conduc...
Published 2007-12-01“…The equation developed by Poulsen et al. (1999a) presented the best results and the smallest error values.…”
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1936
Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN)
Published 2025-01-01“…It sets the groundwork for application within fields faced with the same or similar challenges.…”
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1937
A Suitable Algorithm to Solve a Nonlinear Fractional Integro-Differential Equation with Extended Singular Kernel in (2+1) Dimensions
Published 2025-04-01“…Additionally, the researchers examine the solution’s existence, uniqueness, and convergence in this paper. The error and its stability are also studied. At the end of the research, the authors studied some numerical applications of some of the singular kernels derived from the general kernel, examining the approximation error in each application separately.…”
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1938
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1939
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1940
An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model
Published 2024-11-01“…The classification method applies to real tasks with measured EEG data, focusing on accurately interpreting motor imagery signals for practical application. The empirical error model evolved from the inertial sensor-based acceleration data of the subject in motion, the weight of the wheelchair, the weight of the subject, and the surface friction of the terrain under the wheelchair. …”
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