How can CNNs be used for urban planning and smart cities initiatives?

This paper presents “EspiNet V2” a Deep Learning model, based on the region-based detector Faster R-CNN. The model is used for the detection of motorcycles ... Sep 2, 2023 ... Image processing using Deep learning models CNN · Want to upload an image dataset? · Use of Deep Learning specifically CNN which is normally ... In the study, there are three primary contributions: First, we proposed a classification model to cultivate the performance of classifying of flower images by ... 3 From CNN to Faster R-CNN. Deep learning (DL) is a subfield of machine learning which attempts to acquire high-level abstractions in data by utilising ... What is a Convolutional Neural Network? In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a ... Feb 1, 2023 ... A new bio-inspired deep learning model that enables generalization in dynamic lighting conditions. Complex problems can be solved and objects can be recognized in images based on the Google TensorFlow ™ library - a widely used deep learning framework. Based ... Aug 5, 2022 ... An integrated and hybrid approach based on deep convolutional neural network and machine learning classifiers is proposed for the accurate segmentation and ... Apr 12, 2023 ... This paper proposes a machine learning methodology to detect MCI and AD from qEEG time-frequency (TF) images of the subjects in an eyes-closed resting state ( ... Augmented graph representations are further input to a custom CNN deep learning architecture with a split of 70% train, 10% validation and 20% test ...