Výsledky vyhledávání - "deep stack autoencoder"

Application of deep stack autoencoder network in ship weight estimation

Autoři: CHEN Jian,TANG Junyao,ZHU Shengguang,ZHOU Zhaozhao

Zdroj: Jisuanji gongcheng, Vol 45, Iss 5, Pp 315-320 (2019)

Témata: airbag ship launching, deep learning, inverse gradient descent, deep stack autoencoder, layer by layer unsupervised learning, parameters fine-tuning, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/195315.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/0686b609d7de426aa1e6e2d879173cc7

An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection.

Autoři: Sreenivasulu, V. Ravikumar, C. V. Poruran, Sivakumar

Zdroj: International Journal of Distributed Sensor Networks. 8/7/2025, Vol. 2025, p1-24. 24p.

Témata: *DEEP learning, *DENIAL of service attacks, *INTRUSION detection systems (Computer security), *SECURITY management, *ELECTRONIC authentication, *OPTIMIZATION algorithms, *SESSION Initiation Protocol (Computer network protocol)

Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis

Autoři: Yan Chu Syed Muhammad Ali Mingfeng Lu a další

Zdroj: Entropy, Vol 25, Iss 8, p 1194 (2023)

Témata: heterogeneous features, random subspace method, bearing fault diagnosis, deep stack autoencoder, lasso, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/25/8/1194; https://doaj.org/toc/1099-4300; https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Dostupnost: https://doi.org/10.3390/e25081194
https://doaj.org/article/3acb3794c8c34b56ab148f36b36be24a

Robust broad learning system with parametrized variational mode decomposition for schizophrenia diagnosis.

Autoři: Parija, Sebamai Sahani, Mrutyunjaya Rout, Susanta Kumar

Zdroj: Engineering Applications of Artificial Intelligence. Oct2025:Part B, Vol. 158, pN.PAG-N.PAG. 1p.

Témata: *SCHIZOPHRENIA, *FEATURE extraction, *MATRIX decomposition, *COMPUTER-aided diagnosis, *NEUROPHYSIOLOGY, *DEEP learning, *MACHINE learning

Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis.

Autoři: Chu, Yan Ali, Syed Muhammad Lu, Mingfeng a další

Zdroj: Entropy; Aug2023, Vol. 25 Issue 8, p1194, 23p

Témata: FAULT diagnosis, FEATURE extraction, PLURALITY voting, SIGNAL processing, MACHINE learning

Korporace: CASE Western Reserve University

DSSAE-BBOA: deep learning-based weather big data analysis and visualization.

Autoři: G, Madhukar Rao Dharavath, Ramesh

Zdroj: Multimedia Tools & Applications; 7/25/2021, p27471-27493, 23p

Témata: BIG data, DATA visualization, FEATURE selection, DATA analysis, WEATHER

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis.

Autoři: Liu, Zhao-Hua Lu, Bi-Liang Wei, Hua-Liang a další

Zdroj: IEEE Transactions on Systems, Man & Cybernetics. Systems; Jul2021, Vol. 51 Issue 7, p4217-4226, 10p

Témata: FAULT diagnosis, DEEP learning, ROLLER bearings, MACHINE learning, ROTATING machinery, ALGORITHMS

SAE based unified double JPEG compression detection system for Web image forensics.

Autoři: Wang, Zhifeng Zuo, Chi Zeng, Chunyan

Zdroj: International Journal of Web Information Systems; 2021, Vol. 17 Issue 2, p84-98, 15p

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning.

Autoři: ŞAHiN, Emrullah Arslan, Naciye Nur Özdemir, Durmuş

Zdroj: Neural Computing & Applications; Jan2025, Vol. 37 Issue 2, p859-965, 107p

Témata: RESEARCH personnel, INSTRUCTIONAL systems, COMPARATIVE studies, FAIRNESS, TAXONOMY, DEEP learning

Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique.

Autoři: Lalithadevi, B. Krishnaveni, S.

Zdroj: Multimedia Tools & Applications; Dec2024, Vol. 83 Issue 42, p89949-90013, 65p

Témata: CONVOLUTIONAL neural networks, MEDICAL sciences, DIABETIC retinopathy, PUBLIC hospitals, RETINAL imaging, DEEP learning

Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions.

Autoři: John, Ayuba Isnin, Ismail Fauzi Bin Hamid Hussain Madni, Syed a další

Zdroj: IET Wireless Sensor Systems (Wiley-Blackwell); Dec2024, Vol. 14 Issue 6, p293-332, 40p

Témata: EVIDENCE gaps, FEATURE selection, MACHINE learning, INTRUSION detection systems (Computer security), SYSTEMS design, INTERNET of things, WIRELESS sensor networks

Big data and predictive analytics: A sytematic review of applications.

Autoři: Jamarani, Amirhossein Haddadi, Saeid Sarvizadeh, Raheleh a další

Zdroj: Artificial Intelligence Review; Jul2024, Vol. 57 Issue 7, p1-77, 77p

NEW STRATEGIES FOR IMPROVING NETWORK SECURITY AGAINST CYBER ATTACK BASED ON INTELLIGENT ALGORITHMS.

Autoři: Abdullah, Mahmood Zaki Jassim, Ali Khalid Hummadi, Fadia Noori a další

Zdroj: Journal of Engineering & Sustainable Development; May2024, Vol. 28 Issue 3, p342-354, 13p

Témata: CYBERTERRORISM, MACHINE learning, COMPUTER systems, INTERNET security, ALGORITHMS, INTERNET access, COMPUTER network security, BOOSTING algorithms

Electrical fault detection using machine learning algorithm.

Autoři: Vishal, Mehak Kamal, Aryan Viji, D.

Zdroj: AIP Conference Proceedings; 2023, Vol. 2782 Issue 1, p1-8, 8p

Témata: MACHINE learning, ELECTRIC faults, GEOLOGIC faults, SHORT circuits, SECURE Sockets Layer (Computer network protocol), SUPERVISED learning

Feature Enhanced Stacked Auto Encoder for Diseases Detection in Brain MRI.

Autoři: Butt, Umair Muneer Arif, Rimsha Letchmunan, Sukumar a další

Zdroj: Computers, Materials & Continua; 2023, Vol. 76 Issue 2, p2551-2570, 20p

Témata: DEEP learning, BRAIN diseases, ALZHEIMER'S disease, DISCRETE wavelet transforms, MAGNETIC resonance imaging, FEATURE extraction

A Method of DDoS Attack Detection and Mitigation for the Comprehensive Coordinated Protection of SDN Controllers.

Autoři: Wang, Jin Wang, Liping Wang, Ruiqing

Zdroj: Entropy; Aug2023, Vol. 25 Issue 8, p1210, 26p

Témata: DENIAL of service attacks, SOFTWARE-defined networking, INFRASTRUCTURE (Economics), NETWORK performance

Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review.

Autoři: Bhuiyan, Md Roman Uddin, Jia

Zdroj: Vibration (2571-631X); Mar2023, Vol. 6 Issue 1, p218-238, 21p

Implementing Deep Convolutional Neural Networks for QR Code-Based Printed Source Identification.

Autoři: Tsai, Min-Jen Lee, Ya-Chu Chen, Te-Ming

Zdroj: Algorithms; Mar2023, Vol. 16 Issue 3, p160, 22p

Témata: CONVOLUTIONAL neural networks, DEEP learning, TWO-dimensional bar codes, COMPUTER vision, ELECTRONIC funds transfers, ELECTRONIC ticketing, COLOR codes, SMARTPHONES

Comprehensive Analysis of Various Big Data Classification Techniques: A Challenging Overview.

Autoři: Abdalla, Hemn Barzan Abuhaija, Belal

Zdroj: Journal of Information & Knowledge Management; Feb2023, Vol. 22 Issue 1, p1-22, 22p

Témata: BIG data, DATABASES, SUPPORT vector machines, NONRELATIONAL databases, K-nearest neighbor classification, EVIDENCE gaps, DATA management

5G heterogeneous network (HetNets): a self-optimization technique for vertical handover management.

Autoři: Kiran, Kotaru D., Rajeswara Rao

Zdroj: International Journal of Pervasive Computing & Communications; 2023, Vol. 19 Issue 1, p1-22, 22p