Smartphone Device

Smartphones are increasingly used as powerful platforms for diverse scientific and practical applications, leveraging their embedded sensors, processing power, and ubiquitous nature. Current research focuses on developing efficient deep learning models, including convolutional neural networks (CNNs), transformers, and various lightweight architectures, for tasks such as image processing, human activity recognition, and real-time language processing. These advancements enable novel applications in healthcare (e.g., sleep apnea detection, mental health monitoring), agriculture (e.g., precision phenotyping), and accessibility (e.g., sign language recognition), demonstrating the smartphone's transformative potential across multiple fields.