Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In collaboration with a hospital, they developed an integrated elective surgery ...
In collaboration with a hospital, researchers examined problems related to the timing and scheduling of surgeries and patients’ stays in recovery units. They developed an integrated elective surgery ...
Under energy structure transformation and multi-energy complementary development, there is an urgent need to explore more efficient, clean and low-carbon integrated energy utilization. The ...
The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
1 Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran 2 School of Engineering and Energy, Murdoch University, Perth, WA, Australia Optimal energy hub scheduling ...
Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Abstract: A multi-target model can simultaneously monitor the changing trends of multiple related parameters, which plays a crucial role in achieving intelligent perception and decision-making in the ...
Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian ...
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