Machine learning estimates factory-worker stress from brain signals
An exploratory study of 20 participants linked EEG and fNIRS signals to self-reported anxiety-related stress, with the best model estimating ...
An exploratory study of 20 participants linked EEG and fNIRS signals to self-reported anxiety-related stress, with the best model estimating ...
An interpretable machine-learning study of 3,729 older NHANES participants linked mixed dietary signals with predictions of prevalent, self-reported non-melanoma skin ...
A hybrid CORDIC architecture using carry-lookahead adders produced accurate sine and cosine outputs on FPGA and ASIC, including a 32 ...
An analysis of 1.35 million emergency visits found larger ethnoracial triage disparities in lower-risk cases independently scored as less severe.
A 40-year index analysis found that drought in South Central Vietnam intensified during the final decade, especially in southern provinces, ...
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
A prototype drone carried a gold-nanoparticle lateral-flow sensor that detected dengue antigen at 0.91 micrograms per milliliter and supported QR-code-linked ...
A two-year Tanzanian field study found that bag gardens could produce African indigenous vegetables with higher levels of some nutrients ...
An observational study in nine Yunnan karst prefectures found seasonally distinct, scale-dependent associations between human pressure and ecosystem resilience rather ...
An EML-CNN combining dense convolutional blocks, gated recurrent units and attention achieved speaker-identification accuracies above 96% across three benchmark datasets.
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© 2025 Scienmag - Science Magazine