A5034667450- Food Drying and Modeling
- Spectroscopy and Chemometric Analyses
- Process Optimization and Integration
- Biodiesel Production and Applications
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Meat and Animal Product Quality
- Microencapsulation and Drying Processes
- Advanced Chemical Sensor Technologies
- Agriculture Sustainability and Environmental Impact
- Environmental Impact and Sustainability
- Postharvest Quality and Shelf Life Management
- Freezing and Crystallization Processes
- Solar-Powered Water Purification Methods
- Molecular Communication and Nanonetworks
- Catalysis for Biomass Conversion
- Advanced Control Systems Optimization
- Micro and Nano Robotics
- Smart Agriculture and AI
- Fuel Cells and Related Materials
- Anaerobic Digestion and Biogas Production
- Water-Energy-Food Nexus Studies
- Thermochemical Biomass Conversion Processes
- Greenhouse Technology and Climate Control
- Sensory Analysis and Statistical Methods
- Microbial Inactivation Methods
University of Tehran
2015-2025
Food consumption has significant effects on human health, particularly in relation to quality control, quantity, freshness, and color. This study focuses identifying food across 16 categories, divided into breakfast, lunch, dinner, evaluate its impact the body, specifically hospital restaurant settings. The recognition system was used a machine vision deep learning algorithms record videos, extracting images. After preprocessing, raw dataset bulit that consisted of 12,000 images, expanded...
In this article, variations in the top-view area and lateral-view area, average perimeter, Feret diameter, roundness, elongation, shape of edge, diameters shrimp batch parallel perpendicular to drying medium flow were investigated defined intervals during drying. For purpose, a thin-layer dryer based on machine vision was fabricated image analysis techniques used. Drying experiments conducted triplicate at five temperatures 50, 70, 90, 110, 120°C three velocities 1, 1.5, 2 m/s. Purely...
Abstract In this study, response surface methodology was used for optimization of intermittent microwave–convective air drying ( IMWC ) parameters with employing desirability function. Optimization factors were temperature (40–80°C), velocity (1–2 m/sec), pulse ratio) PR ((2–6), and microwave power (200–600 W) while responses rehydration ratio, bulk density, total phenol content TPC ), color change, energy consumption. Minimum consumption, maximum assumed as criteria optimizing conditions...
Microrobotics has opened new horizons for various applications, especially in medicine. However, it also witnessed challenges achieving maximum optimal performance. One key challenge is the intelligent, autonomous, and precise navigation control of microrobots fluid environments. The intelligence autonomy microrobot control, without need prior knowledge entire system, can offer significant opportunities scenarios where their models are unavailable. In this study, two systems based on...