„Blasting Cap“
Suchergebnisse
1.000+ Treffer
-
Optimal ELM–Harris Hawks Optimization and ELM–Grasshopper Optimization Models to Forecast Peak Particle Velocity Resulting from Mine Blasting
-
Cooling Capacity Evaluation and Optimal Casting Process Design of Core-mounted Copper Stave for 20 m2 Oxygen Blasting Furnace Based on Simulation Results
-
Primary Explosives
-
Predicting Ground Vibrations Due to Mine Blasting Using a Novel Artificial Neural Network-Based Cuckoo Search Optimization
-
ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting
-
Novel Extreme Learning Machine-Multi-Verse Optimization Model for Predicting Peak Particle Velocity Induced by Mine Blasting
-
Estimation of Ground Vibration Intensity Induced by Mine Blasting using a State-of-the-Art Hybrid Autoencoder Neural Network and Support Vector Regression Model
-
Estimating Air Over-pressure Resulting from Blasting in Quarries Based on a Novel Ensemble Model (GLMNETs–MLPNN)
-
A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced Fly-Rock in Quarry Mines
-
Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO
-
A Novel Hunger Games Search Optimization-Based Artificial Neural Network for Predicting Ground Vibration Intensity Induced by Mine Blasting
-
A Novel Combination of Gradient Boosted Tree and Optimized ANN Models for Forecasting Ground Vibration Due to Quarry Blasting
-
Prediction of Rock Size Distribution in Mine Bench Blasting Using a Novel Ant Colony Optimization-Based Boosted Regression Tree Technique
-
Prediction of Vibration Velocity Generated in Mine Blasting Using Support Vector Regression Improved by Optimization Algorithms
-
Majority of human circulating IgG plasmablasts stop blasting in a cell-free pro-survival culture
-
Minimization of Blast-Induced Hazards and Efficient Utilization of Blast Energy by Implementing a Novel Stemming Plug System for Eco-Friendly Blasting in Open Pit Mines
-
The Impact of Time on the Detonation Capacity of Bulk Emulsion Explosives based on Emulinit 8L
-
Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting
-
Optimization of Blasting-Associated Costs in Surface Mines Using Risk-based Probabilistic Integer Programming and Firefly Algorithm
-
Prediction of Dust Emission Due to Open Pit Mine Blasting Using a Hybrid Artificial Neural Network