Search Results - "autoen-coder"

A New Deep Learning Strategy to Predict Time-Series of Marine Diesel Engines by Maione, Francesco, Lino, Paolo, Giannino, Giuseppe, Maione, Guido

“…Maintenance of marine engines can radically change thanks to Artificial Intelligence. Deep Learning (DL) algorithms may overcome the limitations of the still…”
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Deep Learning Approach for Epileptic Focus Localization by Daoud, Hisham, Bayoumi, Magdy

“…The task of epileptic focus localization receives great attention due to its role in an effective epileptic surgery. The clinicians highly depend on the…”
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Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems by Bo, Yufei, Duan, Yiheng, Shao, Shuo, Tao, Meixia

“…In learning-based semantic communications, neural networks have replaced different building blocks in traditional communication systems. However, the digital…”
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An Effective Deep Learning Based Scheme for Network Intrusion Detection by Zhang, Hongpo, Wu, Chase Q., Gao, Shan, Wang, Zongmin, Xu, Yuxiao, Liu, Yongpeng

“…Intrusion detection systems (IDS) play an important role in the protection of network operations and services. In this paper, we propose an effective network…”
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Deep Autoencoding One-Class time Series Anomaly Detection by Mou, Xudong, Wang, Rui, Wang, Tiejun, Sun, Jie, Li, Bo, Wo, Tianyu, Liu, Xudong

“…Time-series Anomaly Detection(AD) is widely used in monitoring and security applications in various industries and has become a hot spot in the field of deep…”
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ArtTwin: A Novel Concept of Developing Digital Twin of Human Arterial System by Hemanthika, Akasapu, Chandran, Dinu S, Kumar, Sandeep, Roy, Sitikantha

“…Pulse waveforms contain rich hemodynamic information, essential for real-time patient-specific diagnosis. While most research focuses on predicting central…”
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Probabilistic Autoencoder Using Fisher Information by Zacherl, Johannes, Frank, Philipp, Enßlin, Torsten A.

“…Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to…”
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Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery by Li, Junde, Ghosh, Swaroop

“…The de novo design of drug molecules is recognized as a time-consuming and costly process, and computational approaches have been applied in each stage of the…”
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Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference by Do, Tien Huu, Minh Nguyen, Duc, Tsiligianni, Evaggelia, Aguirre, Angel Lopez, Panzica La Manna, Valerio, Pasveer, Frank, Philips, Wilfried, Deligiannis, Nikos

“…Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods…”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization by Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“…An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in…”
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Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation by Kuhnel, Johannes, Eissmann, Timo, Wiede, Christian, Schwung, Dorothea, Grabmaier, Anton

“…Tiny ML, defined by its ability to integrate AI into the smallest devices, unlocks the potential for always-on AI solutions at the edge. This capability is…”
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Understanding The Aesthetic Styles of Social Images by Ma, Yihui, Jia, Jia, Hou, Yufan, Bu, Yaohua, Han, Wentao

“… Then, we propose a Bimodal Deep Autoen-coder with Cross Edges (BDA-CE) to deeply fuse the social image related features (i.e…”
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A Learning Approach to Cooperative Communication System Design by Lu, Yuxin, Cheng, Peng, Chen, Zhuo, Mow, Wai Ho, Li, Yonghui

“…The cooperative relay network is a type of multi-terminal communication system. We present in this paper a Neural Network (NN)-based autoencoder (AE) approach…”
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Multi-View Autoencoder for Image Feature Learning with Structured Nonnegative Low Rank by Fang, Zheng, Zhou, Sen, Li, Jing

“…Multi-view feature learning has garnered much attention recently since many real-world data are comprised of different representations or views. As an…”
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Objective Image Quality Analysis of Convolutional Neural Network Light Field Coding by Medda, Daniele, Song, Wei, Perra, Cristian

“…Light field digital images are novel image modalities for capturing a sampled representation of the plenoptic function. A large amount of data is typically…”
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Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder by Melechovsky, Jan, Mehrish, Ambuj, Sisman, Berrak, Herremans, Dorien

“…Accent plays a significant role in speech communication, influencing one's capability to understand as well as conveying a person's identity. This paper…”
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Frame by Frame: Unveiling the Unseen with ViT-MAE by S S, Shylaja, Ganesh, Anjana, Sai Haneela, Arasada Lakshmi, R, Sujith, Kudalkar, Vaishnavi P

“…Video frame occlusion, such as missing or degraded information in video sequences, is a challenging problem in both video processing and deep learning…”
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A Method for Power Flow Estimation in Power Systems with Incomplete Data by He, Xuzhong, Yin, Yushan, Wang, Yuhong, Zheng, Zongsheng, Zhou, Xu

“…Machine learning-based power flow estimation is a critical technique for modeling the operational state of power systems. However, traditional power flow…”
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Unsupervised Convolutional Autoencoder-Based Feature Learning for Automatic Detection of Plant Diseases by Pardede, Hilman F., Suryawati, Endang, Sustika, Rika, Zilvan, Vicky

“…Developing an automatic detector of plant diseases is one of application fields in machine learning. Ground-truth diagnoses of plant diseases which are…”
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Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications by Li, Peizheng, Aijaz, Adnan

“…The convergence of robotics, advanced communication networks, and artificial intelligence (AI) holds the promise of transforming industries through fully…”
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