Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Abstract: Sea ice concentration (SIC) has been monitored with passive microwave (PM) observations for decades. Various techniques have been developed for its improvement. While techniques such as ...
When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...
Abstract: In order to improve the efficiency and accuracy of accounting fraud identification, this paper proposes an accounting fraud identification model based on random forest (RF) and light ...