01768nas 2200529- 450 99645224560331620230522010532.00328-3445(DE-599)ZDB2669533-9(OCoLC)656551004(CKB)2670000000120808(CONSER)--2012262039(EXLCZ)99267000000012080820100817a19939999 --- -spaurbn||||a|a||txtrdacontentcrdamediacrrdacarrierPoblación y sociedadTucumán :Fundación Yocavil,1993-San Miguel de Tucumán, Argentina :Instituto Superior de Estudios SocialesRefereed/Peer-reviewed"Revista regional de estudios sociales."1852-8562 Población & sociedadP&SP & SSocial sciencesPeriodicalsSocial conditionsfast(OCoLC)fst01919811Social sciencesfast(OCoLC)fst01122877ArgentinaSocial conditionsPeriodicalsArgentina, NorthwestSocial conditionsPeriodicalsLatin AmericaSocial conditionsPeriodicalsArgentinafastNorthwest ArgentinafastLatin AmericafastPeriodicals.fastSocial sciencesSocial conditions.Social sciences.Fundación Yocavil,Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina).Instituto Superior de Estudios Sociales,JOURNAL996452245603316Población y sociedad2016897UNISA03922nam 22007695 450 991052007010332120251113174302.0981-16-8237-210.1007/978-981-16-8237-7(MiAaPQ)EBC6840231(Au-PeEL)EBL6840231(CKB)20443409900041(OCoLC)1291314614(PPN)262174340(DE-He213)978-981-16-8237-7(EXLCZ)992044340990004120220104d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEnvironmental Issues of Blasting Applications of Artificial Intelligence Techniques /by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (83 pages)SpringerBriefs in Applied Sciences and Technology,2191-5318Print version: Bhatawdekar, Ramesh M. Environmental Issues of Blasting Singapore : Springer Singapore Pte. Limited,c2022 9789811682360 Includes bibliographical references.1. An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting -- 2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting -- 3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting -- 4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques.This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.SpringerBriefs in Applied Sciences and Technology,2191-5318GeophysicsEngineering geologyMachine learningEnvironmental managementComputational intelligenceGeotechnical engineeringGeophysicsGeoengineeringMachine LearningEnvironmental ManagementComputational IntelligenceGeotechnical Engineering and Applied Earth SciencesGeophysics.Engineering geology.Machine learning.Environmental management.Computational intelligence.Geotechnical engineering.Geophysics.Geoengineering.Machine Learning.Environmental Management.Computational Intelligence.Geotechnical Engineering and Applied Earth Sciences.363.70028563Bhatawdekar Ramesh M.1075140Armaghani Danial JahedAzizi AydinMiAaPQMiAaPQMiAaPQBOOK9910520070103321Environmental issues of blasting2910231UNINA