Lithological classification by hyperspectral images based on a two-layer XGBoost model, combined with a greedy algorithm
N Lin, J Fu, R Jiang, G Li, Q Yang - Remote Sensing, 2023 - mdpi.com
Lithology classification is important in mineral resource exploration, engineering geological
exploration, and disaster monitoring. Traditional laboratory methods for the qualitative …
exploration, and disaster monitoring. Traditional laboratory methods for the qualitative …
Machine learning models to predict the relationship between printing parameters and tensile strength of 3D Poly (lactic acid) scaffolds for tissue engineering …
D Ege, S Sertturk, B Acarkan… - Biomedical Physics & …, 2023 - iopscience.iop.org
Abstract 3D printing is an effective method to prepare 3D scaffolds for tissue engineering
applications. However, optimization of printing conditions to obtain suitable mechanical …
applications. However, optimization of printing conditions to obtain suitable mechanical …
A hybrid model for back-break prediction using XGBoost machine learning and metaheuristic algorithms in Chadormalu iron mine
Back-break is one of the adverse effects of blasting, which results in unstable mine walls,
high duration, falling machinery, and inappropriate fragmentation. Thus, the economic …
high duration, falling machinery, and inappropriate fragmentation. Thus, the economic …
[HTML][HTML] Indirect evaluation of the influence of rock boulders in blasting to the geohazard: Unearthing geologic insights fused with tree seed based LSTM algorithm
Effective control of blasting outcomes depends on a thorough understanding of rock geology
and the integration of geological characteristics with blast design parameters. This study …
and the integration of geological characteristics with blast design parameters. This study …
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
B Keshtegar, J Piri, R Asnida Abdullah… - Frontiers in Public …, 2023 - frontiersin.org
Ground vibration induced by blasting operations is considered one of the most common
environmental effects of mining projects. A strong ground vibration can destroy buildings …
environmental effects of mining projects. A strong ground vibration can destroy buildings …
Development of artificial neural network based mathematical models for predicting small scale quarry powder factor for efficient fragmentation coupled with uniformity …
BO Taiwo, F Yewuhalashet, LB Adamolekun… - Artificial Intelligence …, 2023 - Springer
Blasting is the primary method for reducing rock size in small-scale mining operations. The
primary purpose of blasting is to assist rock mass reduction and transportation from the mine …
primary purpose of blasting is to assist rock mass reduction and transportation from the mine …
[HTML][HTML] A comprehensive survey on machine learning applications for drilling and blasting in surface mining
Drilling and blasting operations are pivotal for productivity and safety in hard rock surface
mining. These operations are restricted due to complexities such as site-specific …
mining. These operations are restricted due to complexities such as site-specific …
A self-attention integrated learning model for landing gear performance prediction
The landing gear structure suffers from large loads during aircraft takeoff and landing, and
an accurate prediction of landing gear performance is beneficial to ensure flight safety …
an accurate prediction of landing gear performance is beneficial to ensure flight safety …
[PDF][PDF] A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection
Breast cancer is a health concern of importance, and it is crucial to detect it early for effective
treatment. Recently there has been increasing interest in using artificial intelligence (AI) for …
treatment. Recently there has been increasing interest in using artificial intelligence (AI) for …
An Enriched Employee Retention Analysis System with a Combination Strategy of Feature Selection and Machine Learning Techniques
In today's competitive business environment, retaining regular employees is a major
challenge for all organizations. Retention of employees is an essential management …
challenge for all organizations. Retention of employees is an essential management …