Search Results - Optimized deep autoencoder

GOOSE-Optimized Deep Autoencoder for Intrusion Detection in IoMT Networks: A Scalable and Efficient Approach for Healthcare Security

Authors: Pooja Puspita Priyadarshani Janmenjoy Nayak Pandit Byomakesha Dash

Source: Arabian Journal for Science and Engineering.

Optimized deep autoencoder and BiLSTM for intrusion detection in IoTs-Fog computing

Authors: Abdullah Alqahtani

Source: Multimedia Tools and Applications. 84:4907-4943

Optimized Deep Autoencoder Model for Internet of Things Intruder Detection

Authors: Badr Lahasan Hussein Samma

Source: IEEE Access, Vol 10, Pp 8434-8448 (2022)

Subject Terms: IoT, Artificial intelligence, IoT Security, Computer Networks and Communications, QA75 Electronic computers. Computer science, Anomaly detection, 02 engineering and technology, Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, Characterization and Detection of Android Malware, Deep Learning, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, autoencoder, Particle swarm optimization, Intrusion detection system, Deep learning, Autoencoder, Computer science, anomaly detection, TK1-9971, Intrusion Detection, Detection, Computer Science, Physical Sciences, Signal Processing, Network Intrusion Detection and Defense Mechanisms, Electrical engineering. Electronics. Nuclear engineering, Botnet Detection, Classifier (UML), k-nearest neighbors algorithm

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684419.pdf
https://doaj.org/article/cf4d4df56d8f4b04985bbda98a9dc86b

OPTIMIZED DEEP AUTOENCODER WITH L1 REGULARIZATION AND DROPOUT FOR ANOMALY DETECTION IN 6G NETWORK SLICING

Authors: Jennifer Kaunang, Valencia Claudia Alamsyah, Nur Parama Yoga, Titan et al.

Source: Jurnal Techno Nusa Mandiri; Vol. 22 No. 2 (2025): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of September 2025; 189-194 ; 2527-676X ; 1978-2136 ; 10.33480/techno.v20i2

Subject Terms: 6g network slicing, anomaly detection, autoencoder, dropout, regularization

File Description: application/pdf

Relation: https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/6912/1520; https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/6912

Availability: https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/6912

Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion

Authors: Yu, Y Li, J Xia, Y et al.

Index Terms: Journal Article

URL: http://hdl.handle.net/10453/170612
http://purl.org/au-research/grants/arc/LP110200162
Developments in the Built Environment
10.1016/j.dibe.2023.100128
http://purl.org/au-research/grants/arc/LP110200162

An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets.

Authors: Salehiyan, Ahmad Moghaddam, Pardis Sadatian Kaveh, Masoud

Source: Future Internet. Jul2025, Vol. 17 Issue 7, p279. 34p.

Subject Terms: Intrusion detection systems (Computer security), Edge computing, Autoencoder, Internet security, Cyber physical systems, Deep learning, Generative adversarial networks

Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments

Authors: Amin Ullah Khan Muhammad Ijaz Ul Haq et al.

Source: Future Generation Computer Systems. 96:386-397

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/fgcs/fgcs96.html#UllahMHB19
https://doi.org/10.1016/j.future.2019.01.029
https://www.sciencedirect.com/science/article/pii/S0167739X18318533

An Aquatic Image Compression Scheme based on Optimized Deep Convolutional Autoencoder.

Authors: Pau, Raj Kumar Vishwakarma, Ankit Chandran, Saravanan

Source: IAENG International Journal of Computer Science. Feb2024, Vol. 51 Issue 2, p83-90. 8p.

Subject Terms: Image compression, Generative adversarial networks, Computer network traffic, Convolutional neural networks, Data compression, Deep learning

Automated Atrial Fibrillation Classification Based on Denoising Stacked Autoencoder and Optimized Deep Network

Authors: Singh, Prateek Sharma, Ambalika Maiya, Shreesha

Index Terms: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2202.05177

Optimized deep autoencoder and BiLSTM for intrusion detection in IoTs-Fog computing.

Authors: Alqahtani, Abdullah

Source: Multimedia Tools & Applications; Mar2025, Vol. 84 Issue 8, p4907-4943, 37p

Subject Terms: LONG short-term memory, OPTIMIZATION algorithms, ARTIFICIAL intelligence, AUTOENCODERS, TELECOMMUNICATION

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach and deep neural networks.

Authors: Ibor, A. E. Egete, D. O. Otiko, A. O. et al.

Source: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-15, 15p

Subject Terms: ARTIFICIAL neural networks, FEEDFORWARD neural networks, AUTOENCODERS, CYBER physical systems, COMPUTER network traffic, DEEP learning

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

Authors: Zhao, Min Chen, Jie Dobigeon, Nicolas

Index Terms: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2307.00269

Prediction of regional wind power generation using a multi-objective optimized deep learning model with temporal pattern attention

Authors: Chen, Wenhe Zhou, Hanting Cheng, Longsheng et al.

Index Terms: Journal Article, PeerReviewed

URL: https://eprints.lancs.ac.uk/id/eprint/212653/
https://eprints.lancs.ac.uk/id/eprint/212653

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

Authors: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

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

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

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs.

Authors: Wang, Ping Li, Hao-Cyuan Lin, Hsiao-Chung et al.

Source: Information. Jun2025, Vol. 16 Issue 6, p458. 35p.

Subject Terms: Knowledge graphs, Receiver operating characteristic curves, Deep learning, Behavioral assessment, Autoencoder

An optimized deep-learning framework for underwater object detection and classification using UGIF-Net and spatiotemporal attention.

Authors: Banda, Jainabbi Harikiran, J.

Source: Journal of Real-Time Image Processing; Dec2025, Vol. 22 Issue 6, p1-28, 28p

A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder.

Authors: Pan, Shihao Shen, Tongyuan Lian, Yongxiang et al.

Source: Brain Sciences (2076-3425); Jan2025, Vol. 15 Issue 1, p27, 24p

Subject Terms: CLUSTERING algorithms, AUTOENCODERS, COGNITIVE neuroscience, COGNITIVE structures, ELECTROENCEPHALOGRAPHY

Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems

Authors: Lu, Yuxin Cheng, Peng Chen, Zhuo et al.

Index Terms: Autoencoder, channel state information, deep learning, neural network, relay network, Article

URL: http://repository.ust.hk/ir/Record/1783.1-103644
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2020&rft.spage=&rft.aulast=Mow&rft.aufirst=Wai+Ho&rft.atitle=Deep+Autoencoder+Learning+for+Relay-Assisted+Cooperative+Communication+Systems&rft.title=IEEE+Transactions+on+Communications
http://www.scopus.com/record/display.url?eid=2-s2.0-85091835785&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000571738800016

Gyroscope in-assembly drift anomaly detection based on decision re-optimized deep auto-encoder

Authors: Wuyang Fan Song Fu Shisheng Zhong

Source: Measurement Science and Technology. 36:016136

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection

Authors: Zhou, Q Yong, B Lv, Q et al.

Index Terms: 08 Information and Computing Sciences, 09 Engineering, 10 Technology, Journal Article

URL: http://hdl.handle.net/10453/144431
IEEE Access
10.1109/ACCESS.2020.2977680