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Investigating the performance of dust detection indices using MODIS data and products in the Khuzestan province of Iran
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
Investigations of nanofluid flow and heat transfer in a rotating microchannel using single- and two-phase approaches
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Experimental study of energy absorption in 3D-textile reinforced polymer composites under high-velocity impact loading
Experimental study of energy absorption in 3D-textile reinforced polymer composites under high-velocity impact loading