Gut

AI-empowered human microbiome research

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...

Why LSTM Outperforms RNN in AI Models? A Deep Dive into Its Structure and Advantages

Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...
Scientific Research Publishing

Accurate Classification of Diabetes via PM Generative AI ()

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.
IEEE

Image Classification Model for Data Sentry of Plant Diseases Using Convolutional Neural Networks

Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...

Engineering Intelligence in Healthcare: Abhijeet Sudhakar on NLP, Deep Learning, and the Future of Medicine

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

From Handwriting to Digital: Deep Learning Techniques Empowering the Digitization of Ancient Texts and Intelligent Office Work

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...
Frontiers

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
Frontiers

Self-supervised disturbing feature reconstruction network for mangrove biomass estimation with limited data

Accurate estimation of mangrove biomass is significant for ensuring the mangrove ecosystem’s productivity and global carbon cycling. Although well-known deep neural networks (DNNs) have been ...