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Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components
A procedure for damage-based seismic design of moment frame structures
A colorimetric indicator based on copper nanoparticles for volatile sulfur compounds to monitor fish spoilage in intelligent packaging
Machine Vision-Based Measurement Approach for Engine Accessory Belt Transverse Vibration Based on Deep Learning Method
Fast-dissolving antioxidant nanofibers based on Spirulina protein concentrate and gelatin developed using needleless electrospinning
Fast-dissolving antioxidant nanofibers based on Spirulina protein concentrate and gelatin developed using needleless electrospinning
Fast-dissolving antioxidant nanofibers based on Spirulina protein concentrate and gelatin developed using needleless electrospinning
Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers
Fixed-Time Observer-based Homogeneous Controller with State-dependent Exponent for Fault Tolerant Control of an Underwater Vehicle
A stochastic approach to estimate intraocular pressure and dynamic corneal responses of the cornea
A stochastic approach to estimate intraocular pressure and dynamic corneal responses of the cornea
A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients
A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients
An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran
An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran