Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
IEEE

Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences

Abstract: Reservoir classification is an important component of reservoir geological modelling and reservoir evaluation and identification. Using a single conventional logging curve to identify ...
IEEE

A Hybrid Bidirectional Recurrent Convolutional Neural Network Attention-Based Model for Text Classification

Abstract: The text classification task is an important application in natural language processing. At present, deep learning models, such as convolutional neural network and recurrent neural network, ...
Investopedia

Neural Networks in Finance: Fundamentals, Varieties, and Applications

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Andy Smith is a Certified Financial Planner (CFP®), licensed realtor and educator with over 35 years of diverse ...
Scientific Research Publishing

A Novel Efficient and Effective Preprocessing Algorithm for Text Classification ()

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...
Interesting Engineering

Artificial neural network: Here’s everything you need to know about black box of AI

Artificial neural networks (ANNs) mimic biological neural networks in the human brain. ANN consists of an input layer, a hidden layer, and an output layer. Also called neural nets, ANNs are used daily ...
Frontiers

Overview of Memristor-Based Neural Network Design and Applications

Conventional von Newmann-based computers face severe challenges in the processing and storage of the large quantities of data being generated in the current era of “big data.” One of the most ...
Frontiers

Multilevel Attention Residual Neural Network for Multimodal Online Social Network Rumor Detection

In recent years, with the rapid rise of social networks, such as Weibo and Twitter, multimodal social network rumors have also spread. Unlike traditional unimodal rumor detection, the main difficulty ...