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Investigation on total phenolic content, antioxidant activity, and emulsifying capacity of sodium alginate from Nizimuddinia zanardini during microwave-assisted extraction; optimization and statistical modeling
Magnetic-MXene-based nanocomposites for water and wastewater treatment: A review
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
In vitro and in vivo antibacterial activity of sea anemone-isolated Vibrio parahaemolyticus against Yersinia ruckeri
Fixed-Time Observer-based Homogeneous Controller with State-dependent Exponent for Fault Tolerant Control of an Underwater Vehicle
Experimental study on two innovative ductile moment-resisting precast concrete beam-column connections
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