AI Reads Feelings Better Than Standard Mood Questionnaires, Study Finds
In a randomized experiment with 892 participants, language-based assessments analyzed by large language models classified mood induction conditions more accurately ...
In a randomized experiment with 892 participants, language-based assessments analyzed by large language models classified mood induction conditions more accurately ...
A new satellite study mapped 148 square kilometres of bamboo in eastern Nepal using Sentinel-2 imagery, finding that a Random ...
A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...
A study in Discover Sustainability applied a Fuzzy k-Nearest Neighbor algorithm to classify Jakarta's PM2.5 levels with moderate accuracy and ...
Researchers have developed NN-IMODE, an improved multi-operator differential evolution algorithm that simultaneously optimizes the architecture and parameters of feedforward neural ...
Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent classification accuracy and ...
A new study finds that parameter-free hyperbolic fuzzy sets achieve perfect classification accuracy while heavily parameterized Diophantine fuzzy models collapse ...
A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...
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© 2026 Scienmag - Science Magazine