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A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

https://doi.org/10.1007/s00366-020-00997-x

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

inferred← citeshttps://doi.org/10.1021/bk-2023-1456.ch011openalex-snapshot

Analyzing Contamination of Heavy Metals—ICP-MS and SEM-EDS

inferred← citeshttps://doi.org/10.1038/s41598-026-48622-zopenalex-snapshot

Particle peak velocity prediction based on risk-oriented hybrid ensemble learning

inferred← citeshttps://doi.org/10.1061/ijgnai.gmeng-8184openalex-snapshot

A Neural Network with a PSO-ELM Hybrid Optimization Algorithm: Applications to Analysis of Soil Bearing Capacity

inferred← citeshttps://doi.org/10.1080/00396265.2021.1970918openalex-snapshot

Improving accuracy of local geoid model using machine learning approaches and residuals of GPS/levelling geoid height

inferred← citeshttps://doi.org/10.1080/0305215x.2022.2138366openalex-snapshot

A multi-output model based on extreme learning machine with application in the multi-objective optimization of a dental implant

inferred← citeshttps://doi.org/10.1080/10298436.2021.1892109openalex-snapshot

A novel approach for resilient modulus prediction using extreme learning machine-equilibrium optimiser techniques

inferred← citeshttps://doi.org/10.1080/17480930.2023.2254147openalex-snapshot

Predicting different components of blast-induced ground vibration using earthworm optimisation-based adaptive neuro-fuzzy inference system

inferred← citeshttps://doi.org/10.1080/17480930.2025.2552707openalex-snapshot

Improving PPV prediction in open-pit blasting through Cubist-based feature enrichment and machine learning models

inferred← citeshttps://doi.org/10.1080/17499518.2024.2356543openalex-snapshot

Slope multi-step excavation displacement prediction surrogate model based on a long short-term memory neural network: for small sample data and multi-feature multi-task learning

inferred← citeshttps://doi.org/10.1093/jcde/qwad037openalex-snapshot

Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes

inferred← citeshttps://doi.org/10.1108/jfra-11-2021-0413openalex-snapshot

Portfolio rebalancing based on a combined method of ensemble machine learning and genetic algorithm

inferred← citeshttps://doi.org/10.1134/s1062739124060103openalex-snapshot

Transient Processes in Formation of Geotechnical Systems in Deep Open Pit Mines: Methodical Aspects

inferred← citeshttps://doi.org/10.1134/s1062739125020176openalex-snapshot

An Artificial Neural Network-Based Approach to Predict Blast-Induced Ground Vibrations in Open Cast Coal Mine— A Case Study

inferred← citeshttps://doi.org/10.1155/2021/4528945openalex-snapshot

Knowledge-Based Prediction of Load-Carrying Capacity of RC Flat Slab through Neural Network and FEM

inferred← citeshttps://doi.org/10.1155/2022/6340347openalex-snapshot

[Retracted] Analysis on the Development and Influence of National Fitness Environment on Youth Basketball Coordination and Mental Health

inferred← citeshttps://doi.org/10.1155/2022/7151294openalex-snapshot

Analysis of Blasting Vibration Effect of Railway Tunnel and Determination of Reasonable Burial Depth

inferred← citeshttps://doi.org/10.1155/2024/9666468openalex-snapshot

Prediction of Vibration Waveform and Division of Influenced Partitions under the Action of Blasting

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1478440/v1openalex-snapshot

A novel hybrid MARS model based on grey wolf optimizer to improve tunnel blasting vibration prediction

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1716220/v1openalex-snapshot

Adaptive Dynamic Surface Control for a Class of Time Delay Nonlinear Systems with Extreme Learning Machine

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3415526/v1openalex-snapshot

WITHDRAWN: Prediction of Vibration Waveform and Division of Influenced Partitions under the Action of Blasting

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3415526/v2openalex-snapshot

WITHDRAWN: Prediction of Vibration Waveform and Division of Influenced Partitions under the Action of Blasting

inferred← citeshttps://doi.org/10.2139/ssrn.5061276openalex-snapshot

Prediction and Minimization of Peak Particle Velocity Using Optimized Extreme Gradient Boosting: Comparative Analysis of Gray Wolf Optimization, Bayesian Optimization, Whale Optimization, and Genetic Algorithm Based on Modified Scaled Distance

inferred← citeshttps://doi.org/10.2478/minrv-2024-0029openalex-snapshot

A Matlab-Based Neural Network Model for Predicting Blast-Induced Ground Vibration

inferred← citeshttps://doi.org/10.29227/im-2023-02-15openalex-snapshot

Machine Learning Algorithms for Data Enrichment: A Promising Solution for Enhancing Accuracy in Predicting Blast-Induced Ground Vibration in Open-Pit Mines

inferred← citeshttps://doi.org/10.32604/cmes.2024.052830openalex-snapshot

Determination of the Pile Drivability Using Random Forest Optimized by Particle Swarm Optimization and Bayesian Optimizer

inferred← citeshttps://doi.org/10.32604/iasc.2023.025766openalex-snapshot

Metaheuristics with Optimal Deep Transfer Learning Based Copy-Move Forgery Detection Technique

inferred← citeshttps://doi.org/10.3389/fpubh.2022.1094771openalex-snapshot

Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data

inferred← citeshttps://doi.org/10.3390/app11136238openalex-snapshot

Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network

inferred← citeshttps://doi.org/10.3390/app112411916openalex-snapshot

Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model

inferred← citeshttps://doi.org/10.3390/app12178468openalex-snapshot

A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock

inferred← citeshttps://doi.org/10.3390/app12189189openalex-snapshot

Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach

inferred← citeshttps://doi.org/10.3390/app14114771openalex-snapshot

Artificial Intelligence Models for Predicting Ground Vibrations in Deep Underground Mines to Ensure the Safety of Their Surroundings

inferred← citeshttps://doi.org/10.3390/app16073246openalex-snapshot

Machine Learning in Surface Mining—A Systematic Review

inferred← citeshttps://doi.org/10.3390/su12062229openalex-snapshot

Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness

inferred← citeshttps://doi.org/10.3390/su141711060openalex-snapshot

Assessing Ground Vibration Caused by Rock Blasting in Surface Mines Using Machine-Learning Approaches: A Comparison of CART, SVR and MARS

inferred← citeshttps://doi.org/10.3390/su142416454openalex-snapshot

The Infrared Radiation Characteristics of Sandstone Fracture Seepage under Coupled Stress-Hydro Effect

inferred← citeshttps://doi.org/10.3390/su15043265openalex-snapshot

Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.