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Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components
Machine Vision-Based Measurement Approach for Engine Accessory Belt Transverse Vibration Based on Deep Learning Method
Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers
Investigations of nanofluid flow and heat transfer in a rotating microchannel using single- and two-phase approaches
Detecting overlapping communities in complex networks using non-cooperative games
Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic
Economic-environmental dispatch of integrated thermal-CHP-heat only system with temperature drop of the heat pipeline using mutant gray wolf optimization algorithm
Economic-environmental dispatch of integrated thermal-CHP-heat only system with temperature drop of the heat pipeline using mutant gray wolf optimization algorithm
Optimization of Pollutant Discharge Permits, Using the Trading Ratio System: A Case Study
Performance Evaluation of a Pseudo Two-axis Sun Tracking System
A hybrid evolutionary game-theoretic and system dynamics approach for analysis of implementation strategies of green technological innovation under government intervention
A generalization of Müntz-Legendre polynomials and its implementation in optimal control of nonlinear fractional delay systems
Machine-learning assisted multiplex detection of catecholamine neurotransmitters with a colorimetric sensor array
Data-Driven Prediction of Janus/Core-Shell Morphology in Polymer Particles: A Machine-Learning Approach
Investigation the effect of processing condition and dispersed phase content on rheology-morphology relationship in polypropylene/polyethylene terephthalate microfibrillar composite