Works matching DE "EXTREME learning machines"
Results: 113
Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection.
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- Journal of Big Data, 2025, v. 12, n. 1, p. 1, doi. 10.1186/s40537-025-01080-2
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Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-90892-6
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Research on the Application of Machine Learning for Marxist Education Integrating Chinese Excellent Traditional Culture.
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- Applied Mathematics & Nonlinear Sciences, 2025, v. 10, n. 1, p. 1, doi. 10.2478/amns-2025-0006
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Geographical origin discrimination of black beans using near-infrared (NIR) spectroscopy combined with fuzzy regularized complete linear discriminant analysis (FRCLDA).
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- Analytical Letters, 2025, v. 58, n. 4, p. 521, doi. 10.1080/00032719.2024.2329702
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Fast resistivity imaging of transient electromagnetic using an extreme learning machine.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2025, v. 29, n. 2, p. 1121, doi. 10.1007/s00500-025-10535-w
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Bidirectional online sequence extreme learning machine and switching strategy for soft-sensor model of SMB chromatography separation process: Bidirectional online sequence extreme learning machine and switching strategy for...: Y.-C. Sun et al.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2025, v. 29, n. 2, p. 485, doi. 10.1007/s00500-025-10444-y
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Constructing an origin discrimination model of japonica rice in Heilongjiang Province based on confocal microscopy Raman spectroscopy technology.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-024-83894-3
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The missing queen: a non-invasive method to identify queenless stingless bee hives: The missing queen: a non-invasive method to identify queenless stingless bee hives: A. Otesbelgue et al.
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- Apidologie, 2025, v. 56, n. 2, p. 1, doi. 10.1007/s13592-025-01148-1
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Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.
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- Environmental Monitoring & Assessment, 2025, v. 197, n. 2, p. 1, doi. 10.1007/s10661-024-13581-3
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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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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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The strategic utilization of machine learning insights to optimize the management of skin health in cattle.
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- Multimedia Tools & Applications, 2025, v. 84, n. 6, p. 3369, doi. 10.1007/s11042-024-20508-0
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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88755-1
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Novel methodology for apple leaf disease classification with PCNN-IELM.
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- Neural Computing & Applications, 2025, v. 37, n. 6, p. 4895, doi. 10.1007/s00521-024-10816-9
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Hierarchical cluster-based IELM for financial distress prediction with imbalanced data.
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- Neural Computing & Applications, 2025, v. 37, n. 5, p. 2925, doi. 10.1007/s00521-024-10716-y
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Quantum computational infusion in extreme learning machines for early multi-cancer detection.
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- Journal of Big Data, 2025, v. 12, n. 1, p. 1, doi. 10.1186/s40537-024-01050-0
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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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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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Recent advances on water management using UAV-based technologies.
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- Irrigation Science, 2025, v. 43, n. 1, p. 1, doi. 10.1007/s00271-025-01002-3
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Cotton leaf water potential prediction based on UAV visible light images and multi-source data.
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- Irrigation Science, 2025, v. 43, n. 1, p. 121, doi. 10.1007/s00271-024-00962-2
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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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Dynamic Prediction of Landslide Displacement Using Time Series GRU and Incorporating Environmental Variables.
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- Journal of Engineering Science & Technology Review, 2024, v. 17, n. 6, p. 208, doi. 10.25103/jestr.176.23
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Optimized pixel level image fusion for lung cancer detection over MRI and pet image.
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- Multimedia Tools & Applications, 2025, v. 84, n. 3, p. 1489, doi. 10.1007/s11042-024-19034-w
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GoogleNet transfer learning with improved gorilla optimized kernel extreme learning machine for accurate detection of asphalt pavement cracks.
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- Structural Health Monitoring, 2024, v. 23, n. 5, p. 2853, doi. 10.1177/14759217231215419
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Refined composite multiscale dynamic causality diagram: a novel time-series analysis approach and its application in fault diagnosis of rotating machinery.
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- Structural Health Monitoring, 2024, v. 23, n. 5, p. 2980, doi. 10.1177/14759217231215351
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RESEARCH ON THE CONTROL SYSTEM OF MOBILE STRAW COMPACTION MOLDING MACHINE BASED ON PSO-ELM-GPC MODEL.
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- INMATEH - Agricultural Engineering, 2024, v. 74, n. 3, p. 625, doi. 10.35633/inmateh-74-58
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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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Neural Network-Based Parameter Estimation and Compensation Control for Time-Delay Servo System of Aeroengine.
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- Aerospace (MDPI Publishing), 2025, v. 12, n. 1, p. 64, doi. 10.3390/aerospace12010064
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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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An Ensemble Approach with Evolutionary Algorithm for Hand Posture Classification.
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- Journal of Advanced Computational Intelligence & Intelligent Informatics, 2025, v. 29, n. 1, p. 95, doi. 10.20965/jaciii.2025.p0095
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sEMG Signal-Based Human Lower-Limb Intention Recognition Algorithm Using Improved Extreme Learning Machine.
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- Journal of Advanced Computational Intelligence & Intelligent Informatics, 2025, v. 29, n. 1, p. 53, doi. 10.20965/jaciii.2025.p0053
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An Innovative Machine Learning Model to Formulate the Bearing Capacity of Concrete-Filled Steel Tube Column.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2025, v. 50, n. 3, p. 1921, doi. 10.1007/s13369-024-09148-6
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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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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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Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data.
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- International Journal of Telemedicine & Applications, 2024, v. 2024, p. 1, doi. 10.1155/2024/4105224
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Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM.
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- Frontiers in Human Neuroscience, 2025, p. 1, doi. 10.3389/fnhum.2024.1481493
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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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基于金枪鱼群算法优化极限学习机的混凝土抗压强度预测.
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- Application Research of Computers / Jisuanji Yingyong Yanjiu, 2024, v. 41, n. 2, p. 444, doi. 10.19734/j.issn.1001-3695.2023.05.0237
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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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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches.
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- Frontiers in Genetics, 2025, p. 1, doi. 10.3389/fgene.2024.1491602
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Application of Machine Learning in Terahertz-Based Nondestructive Testing of Thermal Barrier Coatings with High-Temperature Growth Stresses.
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- Coatings (2079-6412), 2025, v. 15, n. 1, p. 49, doi. 10.3390/coatings15010049
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Short-term PV power forecasting based on combined SOM-FCM and KELM method.
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- Journal of Measurement Science & Instrumentation, 2024, v. 15, n. 2, p. 204, doi. 10.62756/jmsi.1674-8042.2024021
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Prediction of Reference Crop Evapotranspiration in China's Climatic Regions Using Optimized Machine Learning Models.
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- Water (20734441), 2024, v. 16, n. 23, p. 3349, doi. 10.3390/w16233349
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Estimation of Compressive Strength of Basalt Fiber-Reinforced Kaolin Clay Mixture Using Extreme Learning Machine.
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- Materials (1996-1944), 2025, v. 18, n. 2, p. 245, doi. 10.3390/ma18020245
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EDITORIAL.
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- IADIS International Journal on WWW/Internet, 2024, v. 22, n. 2, p. 1
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PREDICTING REVIEW HELPFULNESS IN VIDEO GAMES: A COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS AND NLP INTEGRATION.
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- IADIS International Journal on WWW/Internet, 2024, v. 22, n. 2, p. 1
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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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Hyperspectral Remote Sensing Estimation of Rice Canopy LAI and LCC by UAV Coupled RTM and Machine Learning.
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- Agriculture; Basel, 2025, v. 15, n. 1, p. 11, doi. 10.3390/agriculture15010011
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