Výsledky vyhľadávania - hybrid deep convolutional autoencoder*

Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-Up Table 2006

Autori: Djeddou, Messaoud Hellal, Aouatef Hameed, Ibrahim A. a ďalší

Zdroj: 2024 International Conference on Decision Aid Sciences and Applications (DASA). :1-5

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2408.14626

Survey of Hybrid Deep Learning Autoencoders for Enhanced Visible Light Communication Systems.

Autori: K, Vijayakumari K, Anusudha

Zdroj: Procedia Computer Science. 2025, Vol. 252, p100-107. 8p.

Predmety: Recurrent neural networks, Convolutional neural networks, Bit error rate, Optical communications, Telecommunication systems, Deep learning

Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment.

Autori: Alkhonaini, Mimouna Abdullah Alohali, Manal Abdullah Aljebreen, Mohammed a ďalší

Zdroj: Alexandria Engineering Journal. Jan2025, Vol. 112, p49-62. 14p.

Predmety: Convolutional neural networks, Computer network traffic, Deep learning, Autoencoder, Traffic monitoring, Intrusion detection systems (Computer security)

Hybrid Deep Learning Models for Analyzing Histological Images of the Zebrafish Intestine Under Oxidative Stress.

Autori: Pavel, Cristian Dan Moldovanu, Simona Pavel, Irina Andreea a ďalší

Zdroj: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2859, 16p

Predmety: OXIDATIVE stress, CONVOLUTIONAL neural networks, ZEBRA danio, DEEP learning, IMAGE enhancement (Imaging systems), ARTIFICIAL intelligence, HISTOPATHOLOGY, CLASSIFICATION

A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics.

Autori: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

Zdroj: Veterinary World. Jul2025, Vol. 18 Issue 7, p1922-1935. 14p.

Predmet: Granulosa cells, Fertility, Convolutional neural networks, Transcriptomes, Deep learning, Recurrent neural networks, Goats, Biomarkers

An Improved Deep Learning Model for DDoS Detection Based on Hybrid Stacked Autoencoder and Checkpoint Network.

Autori: Mousa, Amthal K. Abdullah, Mohammed Najm

Zdroj: Future Internet. Aug2023, Vol. 15 Issue 8, p278. 16p.

Predmety: *Machine learning, Deep learning, Convolutional neural networks, Denial of service attacks, Botnets, Software-defined networking

Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks.

Autori: Ullah, Safi Boulila, Wadii Koubaa, Anis a ďalší

Zdroj: Procedia Computer Science. 2024, Vol. 246, p3323-3332. 10p.

Predmety: Computer network traffic, Deep learning, Convolutional neural networks, Cyberterrorism, Machine learning, Intrusion detection systems (Computer security)

Performing Hybrid Spectrum Sensing with an Adaptive and Attentive Multi-stacked Deep Learning Network in a Cognitive Radio Network.

Autori: Koteswara Rao, R. Sahaai, Madona B. Sharanya, C.

Zdroj: Journal of Information & Knowledge Management. Aug2025, Vol. 24 Issue 4, p1-36. 36p.

Predmety: *Real-time computing, Cognitive radio, Deep learning, Mathematical optimization, Convolutional neural networks, Signal detection, Long short-term memory

Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder

Autori: Hassam, Dhulfekar Dhurgham Mohamme, Ayas Talib Sadiq, Arcelan S a ďalší

Zdroj: Engineering Research Express ; volume 7, issue 4, page 045219 ; ISSN 2631-8695

Dostupnosť: https://doi.org/10.1088/2631-8695/ae0ff5
https://iopscience.iop.org/article/10.1088/2631-8695/ae0ff5
https://iopscience.iop.org/article/10.1088/2631-8695/ae0ff5/pdf

Convolutional autoencoder-based deep learning for intracerebral hemorrhage classification using brain CT images.

Autori: Nageswara Rao, B. Acharya, U. Rajendra Tan, Ru-San a ďalší

Zdroj: Cognitive Neurodynamics; 5/19/2025, Vol. 19 Issue 1, p1-13, 13p

TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems.

Autori: Ghadami, Amirhossein Tran, Thomas

Zdroj: User Modeling & User-Adapted Interaction. Nov2024, Vol. 34 Issue 5, p2085-2114. 30p.

Predmety: *STANDARD deviations, *CUSTOMER relations, *RECOMMENDER systems, DEEP learning, BLENDED learning

Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps.

Autori: Altantawy, Doaa A. Yakout, Mohamed A.

Zdroj: Journal of Intelligent Manufacturing. Jun2025, Vol. 36 Issue 5, p3359-3397. 39p.

Predmety: *MANUFACTURING processes, *INFORMATION processing, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, AUTOENCODERS

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data

Autori: Geglio, Anthony Hedayati, Eisa Tascillo, Mark a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, C.3, I.2.1, I.2.6, I.5.1, text

URL: http://arxiv.org/abs/2202.07592

Diverse attack detection in IoT using hybrid deep convolutional with capsule auto encoder for intrusion detection model.

Autori: Dharmalingam, M. Subramaniam, Kamalraj M, Ashwin a ďalší

Zdroj: Journal of Parallel & Distributed Computing. Feb2026, Vol. 208, pN.PAG-N.PAG. 1p.

RESEARCH ON IIOT SECURITY: NOVEL MACHINE LEARNING-BASED INTRUSION DETECTION USING TCP/IP PACKETS

Autori: Neha Agarwal Rajendra Pandey P. Smitha Rajagopal

Zdroj: Proceedings on Engineering Sciences, Vol 5, Iss S1, Pp 63-68 (2023)

Predmety: tcp/ip packet, 03 medical and health sciences, internet of things (iot), 0302 clinical medicine, intrusion detection system (ids), industrial systems, and splinted decision tree (hdca-sdt), hybrid deep convolutional autoencoder, security, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/1c2ac034097640d995a3e4e2bb99191b

Convolutional Autoencoder and Deep Convolutional Neural Network Hybrid Model for Plant Disease Detection

Autori: Prashant Govindrao Aher Vikrant Sabnis Jay Kumar Jain

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789819657254

An automated hybrid attention based deep convolutional capsule with weighted autoencoder approach for skin cancer classification.

Autori: Desale, R.P. Patil, P.S.

Zdroj: Imaging Science Journal; Oct2024, Vol. 72 Issue 7, p840-854, 15p

Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method

Autori: D Agalya S. Kamalakkannan

Zdroj: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS). :796-803

Breast Cancer Detection using Convolutional Autoencoder with Hybrid Deep Learning Model

Autori: null S. Ranjana null A. Meenakshi

Zdroj: International Journal of Computational and Experimental Science and Engineering. 11

An automated hybrid attention based deep convolutional capsule with weighted autoencoder approach for skin cancer classification

Autori: R.P. Desale P.S. Patil

Zdroj: The Imaging Science Journal. 72:840-854