The growth of vision transformer (ViT) methods have been quite enormous since its features provide efficient outcome in Brush image classification, and identification.Inspired of this beneficial, this paper propose an Enhanced vision transformer architecture (EViTA) model for pest identification, segmentation, and classification.The as of late foun
ABSTRACT Objective: to investigate the association between clinical progression and the quality and duration of sleep in women with breast cancer.Method: longitudinal study, with 114 participants, conducted in a hospital in Brazil.The instruments used were: questionnaire for sociodemographic and clinical characterization, Pittsburgh Sleep Quality I
The growth of deep learning has increased the challenge of understanding model performance and scalability.Model metrics are coarse-grained values that help to capture the complexity of the model.In this research, we propose SPOC (size, Grilling Covers parameters, operations, and Critical Datapath Length) as a suite of metrics that describe much of
Due to frequent traffic accidents around the world, people often take out car insurance to mitigate their losses and receive compensation in a traffic accident.However, in the existing car insurance claims process, there are problems such as insurance fraud, inability to effectively track and transmit insurance data, cumbersome insurance procedures
Neurophysiological data acquisition using multi-electrode arrays and/or (semi-) chronic recordings frequently has to deal with low signal-to-noise ratio (SNR) of neuronal responses and potential failure of detecting evoked responses within random background fluctuations.Conventional methods to extract action potentials (spikes) from background nois