Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

Get full text

Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation by Atheer Abdullah Alshahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…Hyperspectral unmixing plays a fundamental role in mining meaningful information from hyperspectral data. …”
Get full text

Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification by Keming Mao, Renjie Tang, Xinqi Wang, Weiyi Zhang, Haoxiang Wu

“…This paper focuses on the problem of lung nodule image classification, which plays a key role in lung cancer early diagnosis. In this work, we propose a novel model for lung nodule image feature representation that incorporates both local and global characters. …”
Get full text

Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human–computer interaction. …”
Get full text

Long short-term memory autoencoder based network of financial indices by Kamrul Hasan Tuhin, Ashadun Nobi, Mahmudul Hasan Rakib, Jae Woo Lee

“…For example, during global financial crises, the financial sector assumes a prominent role, exerting significant influence on other sectors, particularly during the European Sovereign Debt (ESD) crisis. …”
Get full text

Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder. by Haider Al-Tahan, Yalda Mohsenzadeh

“…While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understood. Here, we developed a generative autoencoder neural network model and adversarially trained it on a categorically diverse data set of images. …”
Get full text

An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing by Chunping Dong, Jiaqiang Zhao

“…Computer numerical control (CNC) machine tools play a crucial role in the manufacturing industry, and cutting tools, as key functional components, directly impact the quality of the machining process. …”
Get full text

Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization by Yuan Liu, Yuan Wan, Zaili Yang, Huanhuan Li

“…Multiview Clustering (MVC) plays a crucial role in the holistic analysis of complex data by leveraging complementary information from multiple perspectives, a necessity in the era of big data. …”
Get full text

Variational Autoencoder Based Anomaly Detection in Large-Scale Energy Storage Power Stations by Tuo Ji, Pinghu Xu, Dongliang Guo, Lei Sun, Kangji Ma, Yanan Wang, Xuebing Han

“…The rapid development of energy storage power stations plays a significant role in the widespread adoption of the energy internet. …”
Get full text

Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Abstract The NLRP3 inflammasome, regulated by TLR4, plays a pivotal role in periodontitis by mediating inflammatory cytokine release and bone loss induced by Porphyromonas gingivalis. …”
Get full text

Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE) by Pengyue Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen, Yang Wei

“…Ship trajectory prediction plays a key role in the early warning and safety of maritime traffic. …”
Get full text

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder by Aashutosh Girish Boob, Shih-I Tan, Airah Zaidi, Nilmani Singh, Xueyi Xue, Shuaizhen Zhou, Teresa A. Martin, Li-Qing Chen, Huimin Zhao

“…Abstract Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. …”
Get full text

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks by P. Valarmathi, Y. Suganya, K. R. Saranya, S. Shanmuga Priya

“…Accurate and timely diagnosis plays a crucial role in facilitating optimal therapy and improving patient outcomes. …”
Get full text

Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder by Praveen Kumar, Priyanka Priyanka, K. V. Uday, Varun Dutt

“…We introduced the hierarchical architecture ML model, specifically the hierarchical transformer prediction autoencoder (H-TPA), which is capable of predicting slope movement with high temporal resolution and enhanced generalization capabilities. …”
Get full text

Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

“…IntroductionThyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as the absence of prior knowledge about the thyroid region, low contrast between anatomical structures, and speckle noise, all of which obscure boundary detection and introduce variability in nodule appearance across different images.MethodsTo address these challenges, we propose a transformer-based model for thyroid nodule segmentation. …”
Get full text

Exploration of physics-related latent vectors in hot working of Inconel 718 superalloy using autoencoder by Min Jik Kim, Seon Yeong Yang, Woo Seok Yang, Sehyeok Oh, Sang Min Park, Da Seul Shin

“…Notably, one major latent component was strongly correlated with peak stress (R2 = 0.9971), highlighting its role as a physics-related variable connected to TMP behavior. …”
Get full text

Enhanced Interpretable Forecasting of Cryptocurrency Prices Using Autoencoder Features and a Hybrid CNN-LSTM Model by Wajeeha Badar, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…The CNN-LSTM model additionally implies Shapley additive explanations (SHAP) to promote interpretability and clarify the role of various features. For better performance, the methodology used data cleaning, preprocessing, and effective machine-learning techniques. …”
Get full text

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…This study employs autoencoder models and data augmentation techniques to explore the transcriptomic diversity of gingival keratinocytes at the single-cell level. …”
Get full text

AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…Abstract Lithium-ion (Li-ion) batteries play a crucial role in modern energy storage systems, with their performance and longevity heavily dependent on accurately assessing their State of Health (SOH). …”
Get full text

Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information by Senyu Zhou, Jian Luo, Mei Tang, Chaojun Li, Yang Li, Wenhua He

“…Our findings indicate that DAEPPI is a powerful tool for advancing research in proteomics and could play a pivotal role in the identification of novel therapeutic targets in cardiovascular disease.…”
Get full text