Convolutional Neural Network 1. Introduction Breast cancer (BC) is one of the leading causes of death in women worldwide. In 2020, two million and two hundred women were diagnosed with BC worldwide, which resulted in the death of 685,000 [1]. Tumor size growth and involvement of the sent...
The proposed work includes the cluster ensemble method for social media posts and a convolution neural network model for psychometric tests. This model predicts mental illness with an accuracy of 87.05 percent. The individual can use this result to take the required precautio...
The convolutional neural network (CNN) model is known for its local connectivity and weight distribution mechanisms, resulting in a reduced number of parameters and faster training. Consequently, numerous studies have been published on sensor-based HAR utilizing CNN10,11. The effectiveness of CNN in ...
neural networks, convolutional neural networks, convolution, math, probability In a previous post, we built up an understanding of convolutional neural networks, without referring to any significant mathematics. To go further, however, we need to understand convolutions. If we just wanted to understan...
neural networks,convolutional neural networks,convolution,math,probability In aprevious post, we built up an understanding of convolutional neural networks, without referring to any significant mathematics. To go further, however, we need to understand convolutions. ...
On the other hand, convolution neural network (CNN) architecture from deep neural networks accepts a sample as an image (i.e. a matrix of size m × n) and performs feature extraction and classification via hidden layers (such as convolutional layers, RELU layer, max-pooling layers). It...
www.nature.com/scientificreports OPEN Received: 6 February 2019 Accepted: 22 July 2019 Published: xx xx xxxx DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture Alok Sharma 1,2,3,4, Edwin Vans 3,8, Daichi ...
If you don't consider yourself to be quite the math buff, there is no need to worry since this course is based on a more intuitive approach to the concept of convolutional neural networks, not a mathematical or a purely technical one. Those of you who have practiced any field that entail...
Balakrishna S, Gopi Y, Solanki VK (2022) Comparative analysis on deep neural network models for detection of cyberbullying in social media. J Revista Ingeniería Solidaria 18(1):1–33 (e-ISSN 2357-6014) Article MATH Google Scholar Cohen R, Mathiarasu N, Aarif R, Ansari S, Fraser D...
Article MATH Google Scholar Luo, Q., He, S., Han, X., Wang, Y. & Li, H. Lsttn: A long-short term transformer-based spatiotemporal neural network for traffic flow forecasting. Knowledge-Based Systems 293 (2024). Li, Q., Yang, X., Wang, Y., Wu, Y. & He, D. Spatial-tempo...