Search Results - Deep learning kernel ELM Autoencoder

Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting

Authors: Vijaya Krishna Rayi S.P. Mishra Jyotirmayee Naik et al.

Source: Energy. 244:122585

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://www.sciencedirect.com/science/article/pii/S0360544221028346

Hessenberg Elm Autoencoder Kernel For Deep Learning

Authors: ALTAN, Gokhan KUTLU, Yakup

Source: Volume: 3, Issue: 2 141-151
Journal of Engineering Technology and Applied Sciences

Subject Terms: 03 medical and health sciences, Engineering, 0302 clinical medicine, Deep Learning, RespiratoryDatabase@TR, COPD, Lung sounds, Deep ELM, Hessenberg decomposition, Mühendislik, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

File Description: application/pdf

Access URL: https://dergipark.org.tr/en/download/article-file/545091
https://dergipark.org.tr/tr/download/article-file/545091
https://dergipark.org.tr/tr/pub/jetas/issue/39292/450252
https://dergipark.org.tr/tr/pub/jetas/issue/39292/450252

Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis

Authors: ALTAN, Gokhan KUTLU, Yakup

Source: Volume: 3, Issue: 3 311-322
Natural and Engineering Sciences

Subject Terms: Computer Software, FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Deep Learning, SCP, Hilbert-Huang Transform, Autoencoder, Deep ELM, 02 engineering and technology, Bilgisayar Yazılımı, Machine Learning (cs.LG), 3. Good health

File Description: application/pdf

Access URL: https://dergipark.org.tr/en/download/article-file/551165
http://arxiv.org/abs/2101.10263
https://dergipark.org.tr/tr/pub/nesciences/issue/39636/468978
https://dblp.uni-trier.de/db/journals/corr/corr2101.html#abs-2101-10263
https://dergipark.org.tr/tr/download/article-file/551165
https://dergipark.org.tr/tr/pub/nesciences/issue/39636/468978

Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis

Authors: Altan, Gokhan Kutlu, Yakup

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2101.10263

Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds

Authors: Gökhan ALTAN Yakup KUTLU Ahmet GÖKÇEN et al.

Contributors: Gökhan ALTAN Yakup KUTLU Ahmet GÖKÇEN et al.

Source: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28:2979-2996

Subject Terms: System, Signals, Clinical tests, Classification performance, Extreme learning machine, Weighted sensitivity, 02 engineering and technology, Learning algorithms, 03 medical and health sciences, Deep ELM, ELM autoencoder, Engineering, 0302 clinical medicine, COPD severity, Artificial Intelligence, Disease control, Diagnosis, Pulmonary diseases, 0202 electrical engineering, electronic engineering, information engineering, RespiratoryDatabase@TR, Learning systems, Chronic obstructive pulmonary disease, Deep learning, Classification, Area under the curves, Generalization capability, Difference plot, Biological organs, Respiratory Sounds | Auscultation | Stethoscopes, 3. Good health, Computer Science, Electrical & Electronic, Copd, Overall accuracies

File Description: application/pdf

Access URL: https://journals.tubitak.gov.tr/elektrik/issues/elk-20-28-5/elk-28-5-40-2004-68.pdf
https://dblp.uni-trier.de/db/journals/elektrik/elektrik28.html#AltanKG20
https://journals.tubitak.gov.tr/elektrik/abstract.htm?id=27981
https://hdl.handle.net/20.500.12508/1529
https://aperta.ulakbim.gov.tr/record/11379

Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds

Authors: Altan, Gökhan Kutlu, Yakup Gökçen, Ahmet et al.

Contributors: Altan, Gökhan Kutlu, Yakup Gökçen, Ahmet et al.

Subject Terms: Deep ELM, RespiratoryDatabase@TR, Deep learning, ELM autoencoder, COPD severity, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Respiratory Sounds | Auscultation | Stethoscopes, Difference plot, Classification, Copd, Signals, System, Biological organs, Diagnosis, Disease control, Learning algorithms, Learning systems, Pulmonary diseases, Area under the curves, Chronic obstructive pulmonary disease, Classification performance, Clinical tests, Extreme learning machine, Generalization capability, Overall accuracies, Weighted sensitivity

File Description: application/pdf

Relation: Turkish Journal of Electrical Engineering and Computer Sciences; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Web of Science - Scopus - TR-Dizin; Web of Science Core Collection - Science Citation Index Expanded; https://hdl.handle.net/20.500.12508/1529; 28; 2979; 2996

Availability: https://hdl.handle.net/20.500.12508/1529

Kernel Extreme Learning Machine with Discriminative Transfer Feature and Instance Selection for Unsupervised Domain Adaptation.

Authors: Zang, Shaofei Li, Huimin Lu, Nannan et al.

Source: Neural Processing Letters; Aug2024, Vol. 56 Issue 4, p1-27, 27p

An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis.

Authors: Yan, Hao Shang, Liangliang Chen, Wan et al.

Source: Scientific Reports; 4/8/2025, Vol. 15 Issue 1, p1-26, 26p

Subject Terms: EXTREME learning machines, MACHINE learning, ARTIFICIAL intelligence, FAULT diagnosis, AUTOENCODERS

An Analysis of Image Classification Using Wavelet‐Based Autoencoder Architecture and Extreme Learning Machine.

Authors: Said, Salwa Hassairi, Salima Yahia, Siwar et al.

Source: Journal of Electrical & Computer Engineering; 7/17/2024, Vol. 2024, p1-13, 13p

Subject Terms: IMAGE recognition (Computer vision), MACHINE learning, IMAGE analysis, DEEP learning, RESEARCH personnel

Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder.

Authors: Yixuan, Liang

Source: PLoS ONE; 2/13/2025, Vol. 20 Issue 2, p1-20, 20p

Subject Terms: EXTREME learning machines, HIGH speed trains, PROBLEM solving, GENERALIZATION

Fault diagnosis model based on multi-strategy adaptive COA and improved weighted kernel ELM: A case study on wind turbine blade icing.

Authors: Wu, Xingtao Ding, Yunfei Zhao, Ruizhi et al.

Source: PLoS ONE; 8/28/2025, Vol. 20 Issue 8, p1-33, 33p

Subject Terms: FAULT diagnosis, EXTREME learning machines, STATISTICAL accuracy, RANDOM forest algorithms, WIND turbine blades, SUPERVISORY control & data acquisition systems, MATHEMATICAL optimization

Fault diagnosis of rotating machinery components using a deep kernel extreme learning machine under different working conditions.

Authors: Du, Genyuan Xu, Qiang Yang, Xinyi

Source: Measurement Science & Technology; Nov2020, Vol. 31 Issue 11, p1-16, 16p

Subject Terms: ROTATING machinery, MACHINE learning, MARGINAL distributions, VIBRATION measurements, DEEP learning

Multilayer extreme learning machine-based unsupervised deep feature representation for heartbeat classification.

Authors: Xu, Yuefan Liu, Luyao Zhang, Sen et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Sep2023, Vol. 27 Issue 17, p12353-12366, 14p

Subject Terms: ITERATIVE learning control, MACHINE learning, INTEROCEPTION, FEATURE extraction, ARRHYTHMIA, DEEP learning, CLASSIFICATION, SIGNAL classification

LDAEXC: LncRNA-Disease Associations Prediction with Deep Autoencoder and XGBoost Classifier.

Authors: Lu C Xie M

Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2023 Sep; Vol. 15 (3), pp. 439-451. Date of Electronic Publication: 2023 Jun 12.

Publication Type: Journal Article

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

MeSH Terms: RNA, Long Noncoding*/genetics , RNA, Long Noncoding*/metabolism , Breast Neoplasms*/genetics, Humans ; Female ; Algorithms ; Computational Biology/methods

Extreme Learning Machine-Based Deep Model for Human Activity Recognition With Wearable Sensors.

Authors: Niu, Xiaopeng Wang, Zhiliang Pan, Zhigeng

Source: Computing in Science & Engineering; Sep/Oct2019, Vol. 21 Issue 5, p16-25, 10p

Subject Terms: HUMAN activity recognition, CONTEXT-aware computing, MACHINE learning, DEEP learning, CLASSIFICATION algorithms, FEATURE extraction, DETECTORS

Indian language identification using time-frequency texture features and kernel ELM.

Authors: Birajdar, Gajanan K. Raveendran, Smitha

Source: Journal of Ambient Intelligence & Humanized Computing; Oct2023, Vol. 14 Issue 10, p13237-13250, 14p

Enhancing deep extreme learning machines: Novel multi-kernel autoencoders and implementation for detecting the chronic obstructive pulmonary disease

Authors: Altan, Gökhan Kutlu, Yakup Enformatik Ana Bilim Dalı

Contributors: Altan, Gökhan Kutlu, Yakup Enformatik Ana Bilim Dalı

Subject Terms: Elektrik ve Elektronik Mühendisliği, Computer Engineering and Computer Science and Control, Electrical and Electronics Engineering, Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol

File Description: application/pdf

Access URL: https://acikbilim.yok.gov.tr/handle/20.500.12812/667014

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning.

Authors: Wong, Chi Man Vong, Chi Man Wong, Pak Kin et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Mar2018, Vol. 29 Issue 3, p757-762, 6p

Subject Terms: KERNEL operating systems, MACHINE learning, LEARNING, ARTIFICIAL neural networks, COMPUTER network resources

AUTOMATIC DETECTION OF CARDIOVASCULAR DISEASE USING DEEP KERNEL EXTREME LEARNING MACHINE.

Authors: Li, Dongping

Source: Biomedical Engineering: Applications, Basis & Communications; Dec2018, Vol. 30 Issue 6, pN.PAG-N.PAG, 10p

Subject Terms: CARDIOVASCULAR disease diagnosis, MACHINE learning, KERNEL functions, ELECTROCARDIOGRAPHY, DEEP learning

Hierarchical One-Class Classifier With Within-Class Scatter-Based Autoencoders.

Authors: Wang, Tianlei Cao, Jiuwen Lai, Xiaoping et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2021, Vol. 32 Issue 8, p3770-3776, 7p

Subject Terms: DEEP learning, ALGORITHMS, MACHINE learning, S-matrix theory, FEATURE extraction