News

AZoLifeSciences on MSN10d
AI for Decoding Gene Expression and Cellular Behavior
AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...
IEEE22d
Fuzzy Multivariate Variational Mode Decomposition With Applications in EEG Analysis
This article introduces a novel extension of the multivariate variational mode decomposition (MVMD) method, termed fuzzy MVMD (FMVMD), designed to enhance alignment information extraction. In contrast ...
IEEE25d
An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing - IEEE Xplore
Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...
ascopubs.org1mon
A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. | Journal of Clinical Oncology - ASCO Publications
A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi, Mahdi Malekpour, Shahin Yaghoobi, Sina Abdous, Mohammad Hossein Rohban, ...
GitHub1mon
variational-autoencoder · GitHub Topics · GitHub
A Tensorflow implementation of a Variational Autoencoder. tensorflow image-generation variational-autoencoder. Updated Sep 28, 2017; Jupyter Notebook; satyenrajpal / VAE. Star 0. Code ... code, ...
Frontiers1mon
Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition - Frontiers
Keywords: multi-source data fusion, deep convolutional autoencoder, slope displacement, rainfall, health monitoring. Citation: Han N, Miao W, Li M, Mohamad Ismail MA, Hu Q, Duan L and Tang J (2025) ...
C&EN1mon
Transformation-Free Generation of a Quasi-Diabatic Representation from the State-Average Orbital-Optimized Variational Quantum Eigensolver - ACS Publications
In the present work, we examine how the recent quantum-computing algorithm known as the state-average orbital-optimized variational quantum eigensolver (SA-OO-VQE), viewed within the context of ...