In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
Abstract: This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are ...
Deep learning framework for classifying traffic sign safety using synthetic data and hybrid quantum-classical models, tested against compound adversarial attacks and enhanced defenses.
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