Search Results - "Multimodal autoencoder"

SecMa: A Novel Multimodal Autoencoder Framework for Encrypted IoT Traffic Analysis and Attack Detection by Ravi, V., Poornima, A. S.

“…The exponential growth of encrypted Internet of Things (IoT) traffic has introduced significant cybersecurity challenges, including the complexity of analyzing…”
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Deep multimodal autoencoder for crack criticality assessment by Launay, Hugo, Ryckelynck, David, Lacourt, Laurent, Besson, Jacques, Mondon, Arnaud, Willot, Francois

“…In continuum mechanics, the prediction of defect harmfulness requires to solve approximately partial differential equations with given boundary conditions. In…”
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Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach by Dasan, Evangelin, Gnanaraj, Rajakumar

“…Through wearable technology, several chronic diseases are diagnosed by long-term monitoring of vital signs specifically ECG, EMG, EEG biosignals. Such…”
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Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data by Karim, Md. Rezaul, Wicaksono, Galih, Costa, Ivan G., Decker, Stefan, Beyan, Oya

“…Cancer is one of the deadliest diseases caused by abnormal behaviors of genes that control the cell division and growth. Genomics data and clinical outcomes…”
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Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series by Alfeo, Antonio Luca, Cimino, Mario G. C. A., Gagliardi, Guido

“…Utilizing machine learning technologies to monitor assets’ health conditions can improve the effectiveness of maintenance activities. However, accurately…”
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Stacked multichannel autoencoder – an efficient way of learning from synthetic data by Zhang, Xi, Fu, Yanwei, Jiang, Shanshan, Xue, Xiangyang, Jiang, Yu-Gang, Agam, Gady

“…Learning from synthetic data has many important applications in case where sufficient amounts of labeled data are not available. Using synthetic data is…”
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Improving Diagnostic Accuracy: Hybrid DeepLearning Model for Oral cancer Identification in Neuroimaging by Sathishkumar, R., Govindarajan, M.

“…Oral cancer is a significant health menace as it accounts for many deaths. This is due to the fact that the majority of cases are diagnosed in advanced stages…”
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Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning by Gôlo, Marcos P.S., Araújo, Adailton F., Rossi, Rafael G., Marcacini, Ricardo M.

“…Mobile app reviews are a rich source of information for software evolution and maintenance. Several studies have shown the effectiveness of exploring relevant…”
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Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma by Huang, Guojun, Wang, Cheng, Fu, Xi

“…Individualized patient profiling is instrumental for personalized management in hepatocellular carcinoma (HCC). This study built a model based on bidirectional…”
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A Crossmodal Approach to Multimodal Fusion in Video Hyperlinking by Vukotic, Vedran, Raymond, Christian, Gravier, Guillaume

“…With the recent resurgence of neural networks and the proliferation of massive amounts of unlabeled multimodal data, recommendation systems and multimodal…”
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Thermal-visible stereo matching at night based on Multi-Modal Autoencoder by Zhang, Quan, Li, Yiran, Yang, Le, Zhang, Yi, Li, Zechao, Chen, Xiaoyu, Han, Jing

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A graph-based semi-supervised approach to classification learning in digital geographies by Liu, Pengyuan, De Sabbata, Stefano

“…As the distinction between online and physical spaces rapidly degrades, social media have now become an integral component of how many people's everyday…”
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DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer’s Disease by Chyr, Jacqueline, Gong, Haoran, Zhou, Xiaobo

“…Alzheimer’s disease (AD) is the leading cause of age-related dementia, affecting over 5 million people in the United States and incurring a substantial global…”
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Prediction of Drug-Target Interactions Based on Multi-Modal Autoencoder by Wang, Cheng, Zhao, Zonghao, Gu, Pandeng, Chen, Chong, Hu, Yuxia, Xu, Heng, Sun, Long, Shao, Hui

“…Prediction of drug-target interactions (DTIs) plays a crucial role in various areas of drug development, such as drug reuse and identification of potential…”
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