Recent theoretical and empirical work on predictive processing and brain plasticity may help explain both the onset of and ...
It's a fact of life that the electrical activity of neurons will vary during the same task, even when the ultimate outcome is ...
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Superconductivity, a phenomenon in which electricity flows without resistance, is considered the core of quantum computers ...
Sleep is essential for brain function, cognitive performance, and memory consolidation, and these processes are closely shaped by endocrine signals. Among ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...
Abstract: Partial discharge (PD)-based condition monitoring is a critical aspect of high-voltage equipment diagnostics, where timely detection and interpretation of acoustic emission (AE) signals are ...
Apple may soon increase prices across some of its products as rising memory and storage chip costs continue to pressure the consumer electronics industry. In an interview with The Wall Street Journal, ...
Sleep Stage Classification Through LSTM Model Based on Unique Spectrum Features from CW Radar Signal
Sleep stage classification plays a vital role in sleep disorder diagnosis and disease prevention, where non-contact microwave radar emerges as a promising non-invasive monitoring method. This paper ...
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