Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
Hosted on MSN

Build A Deep Neural Network From Scratch In Python — No Tensorflow!

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
C&EN

Supporting Integrated Operation of Sewer Networks and Wastewater Treatment Plants with a Convolutional Neural Network-Long Short-Term Memory-Attention Model

College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...
Frontiers

Artificial intelligence—based diagnosis of oral leukoplakia using deep convolutional neural networks Xception and MobileNet-v2

1 Department of Oral Medicine and Radiology, SRM Dental College, Chennai, Tamil Nadu, India 2 Department of Clinical Sciences, Center of Medical and Bio-Allied Health Sciences and Research, College of ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
GitHub

recurrent-neural-networks

This repository contains an introduction to the Time_series fundamentals in TensorFlow and also an end-to-end forecasting model that is going to predict the future price of Bitcoin, based on the ...
IEEE

Grid Row Parameter Identification Using Tensorflow Convolutional Neural Network

Abstract: Text recognition is an important field of pattern recognition application. In this paper, a joint parameter recognition method based on convolutional neural network is proposed to solve the ...