Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Abstract: This paper reports a acoustic filter design process using a hybrid approach based on machine learning and COM model. Machine learning is deployed to accurately predict the filter structure ...
The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the sensors can recognize 30-minute detection: The device analyzes air samples in ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...