Suchergebnisse - Quantum convolutional autoencoder~

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications von Arasavali, Nalineekumari, Kumar, Mogadala Vinod, Gottapu, Sasibhushana Rao, Kumar, Om Prakash, Kakade, Priyanka Desai, Vincent, Shweta, Mane, Pallavi R., Kumar, Sachin

“… This work proposes the quantum convolutional autoencoder-based optimal satellite selection method …”
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QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus von R, Meghana, Ramesha, Sowmyashree Sakrepatna, Mukhopadhyay, Adwitiya

“… Our approach is a combination of a Quantum Convolutional Autoencoder (QCAE) and a Quantum Orthogonal Classifier based on Support Vector Machines (QOC-SVM …”
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Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction von Kit, Tara, Pov, Kimsay, Kea, Kimleang, Chang, Won-Du, Chul Park, Hee, Han, Youngsun

“… Owing to their promising efficiency, quantum computers have gained popularity. This paper proposes a method, the quantum convolutional autoencoder (QCAE …”
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INTERNATIONAL PATENT: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL) FILES APPLICATION FOR "A QUANTUM CONVOLUTIONAL AUTOENCODER"

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A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning von Sleeman, Jennifer, Dorband, John, Halem, Milton

“… We describe a hybrid system that combines a classical deep neural network autoencoder with a quantum annealing Restricted Boltzmann Machine (RBM) using the D-Wave …”
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Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction von Kea, Kimleang, Won-Du, Chang, Park, Hee Chul, Han, Youngsun

“… Owing to their promising efficiency, quantum computers have gained popularity. This study introduces a quantum convolutional autoencoder (QCAE …”
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Ensemble quantum deep learning for segmentation and classification of central nervous system demyelinating diseases von Satyanarayana, T.V.V., Aravinda Babu, Tummala, Vardhana Reddy, Karna Vishnu, Venkat Reddy, D., Nageswara Rao, M.V.

“… ) for joint segmentation and feature extraction, and a hybrid Quantum Autoencoder–Quantum Convolutional Variational (QA–QCV …”
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Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats von Rivas, Pablo, Orduz, Javier, Jui, Tonni Das, DeCusatis, Casimer, Khanal, Bikram

“… Specifically, the quanvolutional autoencoder employs randomized quantum circuits to analyze time-series data from DDoS attacks, offering a robust alternative to classical convolutional neural networks …”
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Machine learning approach to reconstruct density matrices from quantum marginals von Uzcategui-Contreras, Daniel, Guerra, Antonio, Niklitschek, Sebastian, Delgado, Aldo

“… : reconstructing a global density matrix compatible with a given set of quantum marginals. Our method integrates a quantum marginal imposition technique with convolutional denoising autoencoders …”
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Application of image recognition algorithm based on quantum convolutional neural network von Zhao, Xueyang

“… The algorithm combines the advantages of quantum convolutional neural networks (QCNN), autoencoders (AE) and low-lot gradient descent …”
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Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder von Bacon, Philippe, Trovato, Agata, Bejger, Michał

“… The denoising convolutional autoencoder neural network is trained on a dataset of simulated astrophysical signals injected into the real …”
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Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder von Jin, Pian, Wang, Biao, Li, Lebo, Chao, Peng, Xie, Fangtong

“… Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods, the main …”
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Towards Quantum Image Generation on Single Qubit using Quantum Information Bottleneck von Zhu, Yijie, Aggarwal, Vaneet, Konar, Debanjan, Pashkin, Yuri, Angelov, Plamen, Jiang, Richard

“… : Quantum Convolutional Variational Autoencoders (QCVAE), designed to operate with only a single qubit …”
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Performance of a convolutional autoencoder designed to remove electronic noise from p-type point contact germanium detector signals von Anderson, Mark R., Basu, Vasundhara, Martin, Ryan D., Reed, Charlotte Z., Rowe, Noah J., Shafiee, Mehdi, Ye, Tianai

“… We present a convolutional autoencoder to denoise pulses from a p-type point contact high-purity germanium detector similar to those used in several rare event searches …”
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CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer von Khan, Abdullah, Sajid, Muhammad Zaheer, Khan, Nauman Ali, Youssef, Ayman, Abbas, Qaisar

“… This work proposes a novel deep learning algorithm to detect skin cancer. The proposed CAD-Skin system detects and classifies skin lesions using deep convolutional …”
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Anomaly detection by using a combination of generative adversarial networks and convolutional autoencoders von Luo, Xukang, Jiang, Ying, Wang, Enqiang, Men, Xinlei

“… With the development of full digitalization, the amount of time series data generated by sensors is ever-increasing; thus, time series outlier detection has …”
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Feature extraction and classification of heart sound using 1D convolutional neural networks von Li, Fen, Liu, Ming, Zhao, Yuejin, Kong, Lingqin, Dong, Liquan, Liu, Xiaohua, Hui, Mei

“… We proposed a one-dimensional convolutional neural network (CNN) model, which divides heart sound signals into normal and abnormal directly independent of ECG …”
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Lorentz group equivariant autoencoders von Hao, Zichun, Kansal, Raghav, Duarte, Javier, Chernyavskaya, Nadezda

“… To that end, we develop the Lorentz group autoencoder (LGAE), an autoencoder model equivariant with respect to the proper, orthochronous Lorentz group SO + ( 3 , 1 …”
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Multi source heterogeneous data diagnosis method of rotating machinery based on parameter collaborative optimization of multi-scale convolutional autoencoder von Yang, Xiaoli

“… data diagnosis method based on parameter collaborative optimization multi-scale convolutional autoencoder (MSCAE) is proposed …”
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Convolutional Machine Learning Method for Accelerating Nonequilibrium Green's Function Simulations in Nanosheet Transistor von Aleksandrov, Preslav, Rezaei, Ali, Dutta, Tapas, Xeni, Nikolas, Asenov, Asen, Georgiev, Vihar

“… The device simulations are based on the quantum mechanical nonequilibrium Green's function (NEGF …”
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