Works matching DE "EXTREME learning machines"
Results: 156
Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 1, p. 213, doi. 10.1007/s11517-024-03190-0
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Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time.
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- Journal of Intelligent Manufacturing, 2025, v. 36, n. 2, p. 1313, doi. 10.1007/s10845-023-02303-0
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Charpy Impact Test in 3D-FDM and Optimization with Artificial Intelligence.
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- Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi, 2024, v. 10, n. 1, p. 12, doi. 10.30855/gmbd.0705N02
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Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study.
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- EAI Endorsed Transactions on Pervasive Health & Technology, 2024, v. 10, n. 1, p. 1, doi. 10.4108/eetpht.10.5542
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Analysis and Improvement of the Application of Playground Sports Posture Detection Technology in Physical Education Teaching and Training.
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- EAI Endorsed Transactions on Pervasive Health & Technology, 2024, v. 10, n. 1, p. 1, doi. 10.4108/eetpht.10.5161
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Enhanced Extreme Learning Machine for Energy Efficient Vampire Attack Detection in Wireless Sensor Networks.
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- Journal Européen des Systèmes Automatisés, 2024, v. 57, n. 6, p. 1649, doi. 10.18280/jesa.570612
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Publisher Correction: State estimation with quantum extreme learning machines beyond the scrambling time.
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- 2025
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- Correction Notice
State estimation with quantum extreme learning machines beyond the scrambling time.
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- NPJ Quantum Information, 2025, v. 11, n. 1, p. 1, doi. 10.1038/s41534-024-00927-5
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Publisher Correction: State estimation with quantum extreme learning machines beyond the scrambling time.
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- 2025
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- Correction Notice
State estimation with quantum extreme learning machines beyond the scrambling time.
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- NPJ Quantum Information, 2025, v. 11, n. 1, p. 1, doi. 10.1038/s41534-024-00927-5
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- Article
Surface mortar detection and performance evaluation of recycled aggregates based on hyperspectral technology.
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- Technisches Messen, 2024, v. 91, n. 12, p. 672, doi. 10.1515/teme-2023-0106
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Enhanced Long-Range Network Performance of an Oil Pipeline Monitoring System Using a Hybrid Deep Extreme Learning Machine Model.
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- Future Internet, 2024, v. 16, n. 11, p. 425, doi. 10.3390/fi16110425
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Predicting groundwater drawdown in Zakho region, Northern Iraq, using machine learning models optimized by the whale optimization algorithm.
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- Environmental Earth Sciences, 2024, v. 83, n. 22, p. 1, doi. 10.1007/s12665-024-11923-5
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INTEGRATING APPLIED LINGUISTICS WITH ARTIFICIAL INTELLIGENCE-ENABLED ARABIC TEXT-TO-SPEECH SYNTHESIZER.
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- Fractals, 2024, v. 32, n. 9/10, p. 1, doi. 10.1142/S0218348X2540050X
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HARNESSING DEEP TRANSFER LEARNING WITH IMAGING TECHNOLOGY FOR UNDERWATER OBJECT DETECTION AND TRACKING IN CONSUMER ELECTRONICS.
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- Fractals, 2024, v. 32, n. 9/10, p. 1, doi. 10.1142/S0218348X25400328
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AUTOMATED INDOOR ACTIVITY MONITORING FOR ELDERLY AND VISUALLY IMPAIRED PEOPLE USING QUANTUM SALP SWARM ALGORITHM WITH MACHINE LEARNING.
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- Fractals, 2024, v. 32, n. 9/10, p. 1, doi. 10.1142/S0218348X2540002X
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Complexity measures, an analysis for electromyography and its possible application to spinal cord injuries.
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- Signa Vitae, 2023, v. 19, n. 1, p. 65, doi. 10.22514/sv.2022.031
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An intelligent method for fault situation in double-circuit transmission lines utilizing extreme learning machine.
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- Electrical Engineering, 2025, v. 107, n. 2, p. 2051, doi. 10.1007/s00202-024-02621-3
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- Article
Extreme learning machine‐based super‐twisting integral terminal sliding mode speed control of permanent magnet synchronous motors.
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- IET Control Theory & Applications (Wiley-Blackwell), 2024, v. 18, n. 18, p. 2524, doi. 10.1049/cth2.12751
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Power Forecasting Using ANN and ELM: A Comparative Evaluation of Machine Learning Approaches.
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- Mathematical Modelling of Engineering Problems, 2025, v. 12, n. 1, p. 1, doi. 10.18280/mmep.120101
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Predicting the Shanghai Composite Index Using Chinese TikTok Self‐Media Data and Machine Learning Model in China.
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- Discrete Dynamics in Nature & Society, 2024, v. 2024, p. 1, doi. 10.1155/ddns/7201831
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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy.
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- Foods, 2024, v. 13, n. 24, p. 4173, doi. 10.3390/foods13244173
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Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0314851
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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task.
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- PLoS ONE, 2025, v. 20, n. 1, p. 1, doi. 10.1371/journal.pone.0309741
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification.
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- PLoS ONE, 2024, v. 19, n. 12, p. 1, doi. 10.1371/journal.pone.0315031
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DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization.
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- PLoS ONE, 2024, v. 19, n. 12, p. 1, doi. 10.1371/journal.pone.0312016
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Wind power error compensation prediction model based on CEEMD-SE-ELM-TCN.
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- International Journal of Low Carbon Technologies, 2024, v. 19, p. 972, doi. 10.1093/ijlct/ctae038
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Runoff prediction using a multi-scale two-phase processing hybrid model.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 3, p. 1059, doi. 10.1007/s00477-025-02907-3
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An Optimized Multi-kernel Based Extreme Learning Machine for Authentication Threat Detection with Feature Reduction Scheme in IoT.
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- Wireless Personal Communications, 2024, v. 139, n. 3, p. 1451, doi. 10.1007/s11277-024-11669-0
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- Article
Intelligent Ultrasonic Image Classification of Artillery Cradle Weld Defects Based on MECF-QPSO-KELM Method.
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- Russian Journal of Nondestructive Testing, 2023, v. 59, n. 3, p. 305, doi. 10.1134/S1061830922601088
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EXPLORING THE ACCURACY OF AN OPTIMIZATION-FREE NEURAL NETWORK FORECASTING MODEL IN MATHEMATICAL EPIDEMIOLOGY: A CASE STUDY IN TÜRKÎYE.
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- Journal of Modern Technology & Engineering, 2023, v. 8, n. 1, p. 63
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基于 ACO−KELM 的采空区遗煤温度预测模型研究.
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- Journal of Mine Automation, 2024, v. 50, n. 12, p. 128, doi. 10.13272/j.issn.1671-251x.18226
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Advanced Extreme Learning Machine for An Hour PV Forecast Using General Weather Data.
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- Przegląd Elektrotechniczny, 2023, v. 99, n. 1, p. 134, doi. 10.15199/48.2023.01.26
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A Hybrid of Box-Jenkins ARIMA Model and Neural Networks for Forecasting South African Crude Oil Prices.
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- International Journal of Financial Studies, 2024, v. 12, n. 4, p. 118, doi. 10.3390/ijfs12040118
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New Trend: Application of Laser-Induced Breakdown Spectroscopy with Machine Learning.
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- Chemosensors, 2025, v. 13, n. 1, p. 5, doi. 10.3390/chemosensors13010005
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Comfort weight analysis for optimising ergonomic cabin design of a drilling rig machine using three-dimensional human simulation.
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- Journal of Engineering Design, 2025, v. 36, n. 1, p. 87, doi. 10.1080/09544828.2024.2411485
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Security Situation Assessment for Terminal Area Control System Operation Based on BN-ISSA-ELM.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 23, p. 11384, doi. 10.3390/app142311384
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Prediction of longitudinal surface settlement in composite formation using large-diameter shield machine based on machine learning techniques.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 12, p. 1922, doi. 10.1007/s11709-024-1141-8
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PREDICTION MODEL FOR EARTHQUAKE DEATH TOLL BASED ON PCA-BAS-ELM IN MAINLAND CHINA.
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- Bulletin of the New Zealand Society for Earthquake Engineering, 2024, v. 57, n. 4, p. 194, doi. 10.5459/bnzsee.1699
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Data-Driven Kernel Extreme Learning Machine Method for the Location and Capacity Planning of Distributed Generation.
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- Energies (19961073), 2019, v. 12, n. 1, p. 109, doi. 10.3390/en12010109
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Elliot and Symmetric Elliot Extreme Learning Machines for Gaussian Noisy Industrial Thermal Modelling.
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- Energies (19961073), 2019, v. 12, n. 1, p. 90, doi. 10.3390/en12010090
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Extraction of Alteration Information from Hyperspectral Data Base on Kernel Extreme Learning Machine.
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- Remote Sensing, 2024, v. 16, n. 19, p. 3646, doi. 10.3390/rs16193646
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Soil Salinity Inversion in Yellow River Delta by Regularized Extreme Learning Machine Based on ICOA.
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- Remote Sensing, 2024, v. 16, n. 9, p. 1565, doi. 10.3390/rs16091565
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Reweighted Extreme Learning Machine-Based Clutter Suppression and Range Compensation Algorithm for Non-Side-Looking Airborne Radar.
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- Remote Sensing, 2024, v. 16, n. 6, p. 1093, doi. 10.3390/rs16061093
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Method for the hyperspectral inversion of the phosphorus content of rice leaves in cold northern China.
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- International Journal of Agricultural & Biological Engineering, 2024, v. 17, n. 6, p. 256, doi. 10.25165/j.ijabe.20241706.8464
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Application of Digital Economy Machine Learning Algorithm for Predicting Carbon Trading Prices Under Carbon Reduction Trends.
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- Strategic Planning for Energy & the Environment, 2024, v. 43, n. 2, p. 401, doi. 10.13052/spee1048-5236.43210
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A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems.
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- Mathematics (2227-7390), 2025, v. 13, n. 3, p. 364, doi. 10.3390/math13030364
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Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm.
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- Mathematics (2227-7390), 2024, v. 12, n. 23, p. 3708, doi. 10.3390/math12233708
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Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting.
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- Mathematics (2227-7390), 2024, v. 12, n. 23, p. 3666, doi. 10.3390/math12233666
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Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer.
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- Mathematics (2227-7390), 2024, v. 12, n. 17, p. 2641, doi. 10.3390/math12172641
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