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A Novel Human Activity Recognition Scheme for Smart Health Using Multilayer Extreme Learning Machine

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

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Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG

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An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices

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A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity

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Integrated Multiple Kernel Learning for Device-Free Localization in Cluttered Environments Using Spatiotemporal Information

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Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach

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A hybrid Extreme Learning Machine model with Lévy flight Chaotic Whale Optimization Algorithm for Wind Speed Forecasting

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Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

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Leveraging Online Learning for Domain-Adaptation in Wi-Fi-Based Device-Free Localization

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HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices

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Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey

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ConvAttenMixer: Brain tumor detection and type classification using convolutional mixer with external and self-attention mechanisms

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Physics-infused deep neural network for solution of non-associative Drucker–Prager elastoplastic constitutive model

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3D Convolutional Neural Networks with Hybrid Attention Mechanism for Early Diagnosis of Alzheimer's Disease

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Extreme Learning Machine Applied to Software Development Effort Estimation

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Online Spatiotemporal Modeling for Robust and Lightweight Device-Free Localization in Nonstationary Environments

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Machine learning classification of maladaptive rumination and cognitive distraction in terms of frequency specific complexity

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Enhanced WiFi CSI Fingerprints for Device-Free Localization With Deep Learning Representations

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Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation

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A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction

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Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

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Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity

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A Review of multilayer extreme learning machine neural networks

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A comprehensive review of extreme learning machine on medical imaging

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Optimizing the impact of data augmentation for low-resource grammatical error correction

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Federated learning with hyper-parameter optimization

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A new deep technique using R-CNN model and L1NSR feature selection for brain MRI classification

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A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique

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Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification

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Key nodes identification in complex networks based on subnetwork feature extraction

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Real-Time Multi-Task ADAS Implementation on Reconfigurable Heterogeneous MPSoC Architecture

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1D Convolutional LSTM-based wind power prediction integrated with PkNN data imputation technique

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A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM

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Modeling the Stackelberg game with a boundedly rational follower in deterioration supply chain-based interaction with the leader’s hybrid pricing strategy

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Multilayer extreme learning machines and their modeling performance on dynamical systems

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MSENet: Mean and standard deviation based ensemble network for cervical cancer detection

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Designing a new fast solution to control isolation rooms in hospitals depending on artificial intelligence decision

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Boosting Personalized Musculoskeletal Modeling With Physics-Informed Knowledge Transfer

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Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images

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Multilayer extreme learning machine: a systematic review

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Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study

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Extreme learning machine versus classical feedforward network

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Convolutional Extreme Learning Machines: A Systematic Review

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Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

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A hybrid neural network and optimization algorithm for forecasting and trend detection of Forex market indices

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Automatic Hybrid Access Control in SCADA-Enabled IIoT Networks Using Machine Learning

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Toward Robust and Efficient Musculoskeletal Modeling Using Distributed Physics-Informed Deep Learning

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Unraveling pine wilt disease: Comparative study of stochastic and deterministic model using spectral method

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Committee machine learning: A breakthrough in the precise prediction of CO2 storage mass and oil production volumes in unconventional reservoirs

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Toward Robust and Accurate Device-Free Localization in Cluttered Environments With Commodity WiFi Devices

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Dual ensemble online modeling for dynamic estimation of hot metal silicon content in blast furnace system

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Variational quantum extreme learning machine

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Image generation models from scene graphs and layouts: A comparative analysis

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Conditional normalizing flow for multivariate time series anomaly detection

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Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data

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Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion

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Inter-patient ECG classification with intra-class coherence based weighted kernel extreme learning machine

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Applied Control and Artificial Intelligence for Energy Management: An Overview of Trends in EV Charging, Cyber-Physical Security and Predictive Maintenance

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No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures

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Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification

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Integrative Evolutionary-Based Method for Modeling and Optimizing Budget Assignment of Bridge Maintenance Priorities

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Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures

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