Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...
The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and ...
Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the business unit’s performance. This wasn’t achieved through a single ...
Abstract: The longwave infrared (LWIR) sensors are widely used for measuring land surface radiation in ground and uncrewed aerial vehicle (UAV) remote sensing missions. Although the land surface ...
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