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Innovative observer design for nonlinear systems using Caputo fractional derivative with respect to another function
Published 2024-12-01“…By extending the widely recognized Caputo-Hadamard (CH) fractional-order derivative, we address its utility in nonlinear systems. The core of our contribution is the practical stability for systems governed by this derivative, which ensures convergence toward a bounded region around the origin. …”
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CFD Simulation of Thermal-Hydraulic Benchmark V1000CT-2 Using ANSYS CFX
Published 2009-01-01“…Due to this result, it is now possible to improve the mixing models which are usually used in system codes.…”
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Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models
Published 2017-01-01Get full text
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Numerical Time-Domain Modeling of Lamb Wave Propagation Using Elastodynamic Finite Integration Technique
Published 2014-01-01Get full text
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Author Correction: Rapid adsorption of selenium removal using iron manganese-based micro adsorbent
Published 2025-01-01Get full text
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Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach
Published 2020-01-01Get full text
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Mold Strength Analysis of Press Machine Composite Brake Using FEM Method on Train Brakes
Published 2022-10-01“…It is powered by hydraulic machines, electric motors, or human power. Usually in the railway industry, presses are used in the manufacture of composite brake pads for railways. …”
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A Single-Stage Isolated Battery Charger Using Nonbridged Positive Cuk Converter Configuration
Published 2023-01-01Get full text
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Recycling of the rare earth oxides from spent rechargeable batteries using waste metallurgical slags
Published 2013-01-01Get full text
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Time series forecasting of bed occupancy in mental health facilities in India using machine learning
Published 2025-01-01Get full text
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A New Rule-Based Classification Method Using Shape-Based Properties of Spectral Curves
Published 2022-01-01Get full text
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning
Published 2025-01-01Get full text
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