Výsledky vyhledávání - Quanvolutional autoencoder

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats

Autoři: Pablo Rivas Javier Orduz Tonni Das Jui a další

Zdroj: Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 944-964 (2024)

Témata: autoencoder, TK7885-7895, 0301 basic medicine, representation learning, Computer engineering. Computer hardware, 0303 health sciences, 03 medical and health sciences, convolutional neural network, quantum computing, dimensionality reduction, quanvolutional autoencoder

Přístupová URL adresa: https://doaj.org/article/2b35662d3fbc43b2ad98d75923c01a86

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats.

Autoři: Rivas, Pablo Orduz, Javier Jui, Tonni Das a další

Zdroj: Machine Learning & Knowledge Extraction; Jun2024, Vol. 6 Issue 2, p944-964, 21p

Témata: DENIAL of service attacks, CONVOLUTIONAL neural networks, QUANTUM computers, QUANTUM computing, QUANTUM mechanics, STOCHASTIC learning models

Comparative Analysis of Quantum and Classical Convolutional Autoencoders on the MNIST Dataset

Autoři: Astorga Castillo, Dante Friman, Lukas

Témata: Computer and Information Sciences, Quantum neural network, Quanvolution, Data- och informationsvetenskap, Quantum computing, Kvantkonvolutionerande autokodare, Quantum convolutional autoencoder, Kvantmaskininlärning, Kvantberäkning, Quanvolutional autoencoder, Kvantneurala nätverk, Convolutional autoencoder, Konvolutionerande autokodare, Quantum machine learning

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351190

Comparative Analysis of Quantum and Classical Convolutional Autoencoders on the MNIST Dataset ; Komparativ analys av kvantiska och klassiska konvolutionerande autokodare på MNIST datasetet

Autoři: Astorga Castillo, Dante Friman, Lukas

Témata: Quantum computing, Quantum neural network, Quantum machine learning, Convolutional autoencoder, Quantum convolutional autoencoder, Quanvolution, Quanvolutional autoencoder, Kvantberäkning, Kvantneurala nätverk, Kvantmaskininlärning, Konvolutionerande autokodare, Kvantkonvolutionerande autokodare, Computer and Information Sciences, Data- och informationsvetenskap

Popis souboru: application/pdf

Relation: TRITA-EECS-EX; 2024:389

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351190

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.

Autoři: Arasavali N Kumar MV Gottapu SR a další

Zdroj: Scientific reports [Sci Rep] 2025 Mar 13; Vol. 15 (1), pp. 8711. Date of Electronic Publication: 2025 Mar 13.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Enhanced ammonia contamination prediction in aquaculture ponds using stereoscopic scalable quantum convolutional networks with simplicial attention network.

Autoři: Patil, Mahadev Kalyanrao Kothari, Pritam Pravin Sakamudi, Srilakshmi ramya a další

Zdroj: Iran Journal of Computer Science; Dec2025, Vol. 8 Issue 4, p2709-2731, 23p

An Overview of AI-Guided Thyroid Ultrasound Image Segmentation and Classification for Nodule Assessment.

Autoři: Savelonas, Michalis

Zdroj: Big Data & Cognitive Computing; Oct2025, Vol. 9 Issue 10, p255, 33p

Témata: DEEP learning, IMAGE segmentation, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, COMPUTER-assisted image analysis (Medicine), THYROID nodules, COMPUTER-aided diagnosis

Quantum‐inspired hybrid algorithm for image classification and segmentation: Q‐Means++ max‐cut method.

Autoři: Roy, Suman Kumar Rudra, Bhawana

Zdroj: International Journal of Imaging Systems & Technology; Jan2024, Vol. 34 Issue 1, p1-17, 17p

Témata: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, IMAGE segmentation, QUANTUM computing, TIME complexity, CLASSIFICATION algorithms

A Hybrid Classical-Quantum Neural Network Model for DDoS Attack Detection in Software-Defined Vehicular Networks.

Autoři: Sarvade, Varun P. Kulkarni, Shrirang Ambaji Raj, C. Vidya

Zdroj: Information; Sep2025, Vol. 16 Issue 9, p722, 17p

Témata: DENIAL of service attacks, MACHINE learning, QUANTUM information science, TRAFFIC patterns, INTERNET security, ANOMALY detection (Computer security), MOBILE communication systems

Detection of brain space-occupying lesions using quantum machine learning.

Autoři: Amin, Javaria Anjum, Muhammad Almas Gul, Nadia a další

Zdroj: Neural Computing & Applications; Sep2023, Vol. 35 Issue 26, p19279-19295, 17p

Témata: BRAIN damage, MACHINE learning, MAGNETIC resonance imaging, BRAIN abnormalities, ORGANS (Anatomy)

Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)

Autoři: Alam, Mahabubul Kundu, Satwik Topaloglu, Rasit Onur a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2109.02862

Hybrid quantum neural networks with variational quantum regressor for enhancing QSPR modeling of CO2-capturing amine.

Autoři: Cho, Hyein Kim, Jeonghoon No, Kyoung Tai a další

Zdroj: EPJ Quantum Technology; 6/23/2025, Vol. 12 Issue 1, p1-18, 18p

Témata: GRAPH neural networks, MULTILAYER perceptrons, CARBON sequestration, MELTING points, MATERIALS science

Artificial intelligence in rheumatoid arthritis.

Autoři: Sun, Yiduo Lin, Jin Chen, Weiqian

Zdroj: Rheumatology & Autoimmunity; Jun2025, Vol. 5 Issue 2, p88-100, 13p

Quantum computing for space applications: a selective review and perspectives.

Autoři: Torta, Pietro Casati, Rebecca Bruni, Stefano a další

Zdroj: EPJ Quantum Technology; 6/5/2025, Vol. 12 Issue 1, p1-76, 76p

Témata: QUANTUM annealing, IMAGE recognition (Computer vision), QUANTUM computing, SPACE sciences, DISTRIBUTED computing

A Review of Quantum-Based Diffusion Models in Generative AI.

Autoři: Lima, Glauco Filatovas, Ernestas Marcozzi, Marco a další

Zdroj: Vilnius University Open Series; 2025, p109-120, 12p

Témata: GENERATIVE artificial intelligence, MACHINE learning, QUANTUM computing

Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis.

Autoři: Marengo, Agostino Santamato, Vito

Zdroj: Frontiers in Computer Science; 2025, p1-30, 30p

Quantum deep learning in neuroinformatics: a systematic review.

Autoři: Orka, Nabil Anan Awal, Md. Abdul Liò, Pietro a další

Zdroj: Artificial Intelligence Review; May2025, Vol. 58 Issue 5, p1-24, 24p

Témata: ALZHEIMER'S disease, MACHINE learning, EVIDENCE gaps, TUMOR classification, STATISTICS, DEEP learning

Networked Quantum Services†.

Autoři: Gyongyosi, Laszlo Imre, Sandor

Zdroj: Quantum Information & Computation; May2025, Vol. 25 Issue 2, p97-140, 44p

Témata: QUANTUM computing, QUANTUM communication, COMPUTER networks, ACHIEVEMENT

Quantum Machine Learning: A Review and Case Studies.

Autoři: Zeguendry, Amine Jarir, Zahi Quafafou, Mohamed

Zdroj: Entropy; Feb2023, Vol. 25 Issue 2, p287, 41p

Témata: MACHINE learning, SCIENTIFIC literature, COMPUTERS, CONVOLUTIONAL neural networks, QUANTUM computing, QUANTUM computers

量子–经典混合神经网络及其故障诊断应用. (Chinese)

Alternate Title: Quantum-classical hybrid neural network and its application in fault diagnosis. (English)

Autoři: 窦通 周振威 刘涛 a další

Zdroj: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Nov2021, Vol. 38 Issue 11, p1785-1792, 8p

Témata: QUANTUM logic, QUANTUM computing, QUANTUM gates, LOGIC circuits, QUBITS