coerce
发表于 2025-3-21 19:11:36
书目名称Environmental Issues of Blasting影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0312724<br><br> <br><br>书目名称Environmental Issues of Blasting读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0312724<br><br> <br><br>
STALE
发表于 2025-3-21 22:54:31
Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blastinring initial era, various empirical equations were developed for predicting fragment size based on blast design parameters. During the last decade, various machine learning (ML) models such as artificial neural network and support vector machine have been proposed for prediction of rock fragmentatio
Detain
发表于 2025-3-22 01:38:58
Applications of AI and ML Techniques to Predict Backbreak and Flyrock Distance Resulting from Blastrameters for prediction of flyrock and backbreak. Statistical models as well as empirical equations do not have required accuracy for prediction of flyrock and backbreak. Various artificial intelligence (AI) techniques for prediction of flyrock and backbreak developed during last decade were reviewe
Confess
发表于 2025-3-22 04:46:42
Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques,based on maximum charge per delay and distance. Empirical equations or statistical methods were not accurate for prediction of these environmental issues. During last decade, various artificial intelligence and machine learning techniques such as artificial neural network, neuro-fuzzy, fuzzy logic,
受人支配
发表于 2025-3-22 12:17:37
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cloture
发表于 2025-3-22 16:27:55
Types of Translation: An Overview,ring initial era, various empirical equations were developed for predicting fragment size based on blast design parameters. During the last decade, various machine learning (ML) models such as artificial neural network and support vector machine have been proposed for prediction of rock fragmentatio
cloture
发表于 2025-3-22 19:21:50
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不断的变动
发表于 2025-3-22 22:33:24
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Formidable
发表于 2025-3-23 01:53:26
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猛击
发表于 2025-3-23 08:12:38
An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blastins found the most popular and economical technique for breaking rock mass. Even though well-fragmented rock is favorable outcome of blasting, the negative environmental effects such as air over pressure (AOp), ground vibration, and flyrock have remained the matter of concern. AOp is caused by shock w