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2021
A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification
Published 2025-01-01“…Music recognition refers to the process of automatically recognizing and classifying the musical content in audio signals using computer technology and algorithms. …”
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2022
Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation
Published 2022-11-01“…Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground enforcement practices to curb deforestation rates. …”
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2023
Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach
Published 2025-04-01“…Machine learning (ML) has made great strides thanks to the development of convolutional neural networks (CNNs) and computer-aided tumor detection systems. The deep convolutional layers automatically extract important and dependable information from the input space, in contrast to more traditional neural network layers. …”
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2024
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2025
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2026
Combining immunoscore and tumor budding in colon cancer: an insightful prognostication based on the tumor-host interface
Published 2024-12-01“…Methods In a series of pTNM stage I-III CCs (n = 654), the Immunoscore was computed and TB detected automatically using a deep learning network. …”
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2027
Analysing Open-source Images to Assess Face Mask Usage for Epidemiological Studies
Published 2025-03-01“…This study aims to develop and validate an Artificial Intelligence (AI) solution to automatically analyse open-source crowd photos for estimation of mask use. …”
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2028
Captura de movimiento y reconocimiento de actividades para múltiples personas mediante un enfoque bayesiano
Published 2013-04-01“…Palabras clave: Visión artificial, Aplicaciones de seguimiento, Sistemas multidimensionales, Visión estéreo, Keywords: Computer vision, Tracking applications, Multidimensional systems, Stereo vision…”
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