Abstract: Accurate classification of brain tumors from MRI is critical for effective diagnosis and treatment. In this study, we introduce Trans-EffNet, a hybrid model combining pre-trained ...
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
Abstract: This paper presents an approach for diagnosing faults in reciprocating compressors used in commercial refrigerators. With the increasing importance of fault detection in electrical drives, ...