CLASSIFICATION MODEL OF CLOCK DRAWING TEST BASED ON CONTRASTIVE LEARNING USING MULTI-CHANNEL FEATURES WITH CHANNEL-SPATIAL ATTENTION

Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention

The Clock Drawing Test (CDT) is a professional examination that can detect cognitive impairments, such as Parkinson’s and Alzheimer’s diseases, based on scoring criteria.The pooling layers of a convolutional neural Honey network (CNN) compress features by reducing dimensionality, which tends to focus on a single dominant element.This

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Analisis Proses Berpikir Siswa dalam Memecahkan Masalah Matematika berdasarkan Langkah-Langkah Bransford dan Stein ditinjau dari Adversity Quotient

This study HIGH RISE VOLUME CONDITIONER aims to describe the thinking process of students of MAN I Bandar Lampung based on Adversity Quotient (AQ) type climbers, campers and quitters in solving mathematical problems based on Bransford and Stein theories on equations and quadratic functions.This research is a qualitative descriptive research.Researc

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