Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.
Abstract: To improve the control performance of permanent magnet synchronous motor (PMSM) drive systems, this article proposes a model-free predictive current control method based on adaptive extended ...
Abstract: IMU-based motion capture systems face challenges of attitude drift and magnetic interference. To address these, this paper proposes a hybrid algorithm named AMI-IAGDA, which integrates an ...
Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...
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Accurate colour reproduction is one of the most technically demanding challenges in industrial imaging. Unlike monochrome applications, colour imaging requires the entire imaging chain, from lighting ...
A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
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