What are lightweight CNN architectures for mobile devices?

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 ... ... CNN; Deep neural network; RT-PCR; Computer model. Received: October 27, 2022 ... Machine Learning With Applications, 6, 100138. https://doi.org/10.1016 ... 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 ... 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 ... 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 ( ... We have proposed a deep learning method called BCM-SegNet, an optimized Mask R-CNN-based algorithm for segmenting BSE images of bronze casting moulds and cores. CNN with genotypes that are one-hot encoded. A denotes the ... Multivariate Statistical Machine Learning Methods for Genomic Prediction [Internet]. Nov 28, 2022 ... In this study, different deep CNN models with multiple machine learning classifiers are investigated for monkeypox disease diagnosis using ... Nov 26, 2015 ... The field of machine learning has taken a dramatic twist in recent times, with the rise of the Artificial Neural Network (ANN). These ... We believe this suggests significant avenues of future exploration for machine learning language design, pedagogy, and implementation, both inside and outside ...