LEADER 02694nam 22005295 450 001 9910337838703321 005 20251113200302.0 010 $a3-030-17513-8 024 7 $a10.1007/978-3-030-17513-9 035 $a(CKB)4100000008047980 035 $a(DE-He213)978-3-030-17513-9 035 $a(MiAaPQ)EBC5926716 035 $a(PPN)235669288 035 $a(EXLCZ)994100000008047980 100 $a20190425d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a5G for Future Wireless Networks $eSecond EAI International Conference, 5GWN 2019, Changsha, China, February 23-24, 2019, Proceedings /$fedited by Victor C. M. Leung, Haijun Zhang, Xiping Hu, Qiang Liu, Zhi Liu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 195 p. 80 illus., 63 illus. in color.) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v278 300 $aIncludes index. 311 08$a3-030-17512-X 330 $aThis book constitutes the proceedings of the Second International Conference on 5G for Future Wireless Networks, 5GWN 2019, held in Changsa, China, in February 2019. The 13 full papers were selected from 34 submissions and present the state of the art and practical applications of 5G technologies. The papers are arranged thematically on optimization theory and applications, intelligent computing technology for 5G applications, resource allocation and management, and security and privacy in emerging 5G applications. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v278 606 $aComputers, Special purpose 606 $aSpecial Purpose and Application-Based Systems 615 0$aComputers, Special purpose. 615 14$aSpecial Purpose and Application-Based Systems. 676 $a621.3845 676 $a621.3845 702 $aLeung$b Victor C. M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Haijun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHu$b Xiping$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Qiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Zhi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337838703321 996 $a5G for Future Wireless Networks$92102239 997 $aUNINA LEADER 04835nam 22007815 450 001 9910755082403321 005 20251113174640.0 010 $a9783031469664 010 $a3031469666 024 7 $a10.1007/978-3-031-46966-4 035 $a(MiAaPQ)EBC30826737 035 $a(Au-PeEL)EBL30826737 035 $a(DE-He213)978-3-031-46966-4 035 $a(PPN)272917281 035 $a(CKB)28552913100041 035 $a(OCoLC)1406410326 035 $a(EXLCZ)9928552913100041 100 $a20231025d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 10th Asian Mining Congress 2023 $eRoadmap for Best Mining Practices vis-à-vis Global Transformation /$fedited by Amalendu Sinha, Bhabesh Chandra Sarkar, Prabhat Kumar Mandal 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (492 pages) 225 1 $aSpringer Proceedings in Earth and Environmental Sciences,$x2524-3438 311 08$aPrint version: Sinha, Amalendu Proceedings of the 10th Asian Mining Congress 2023 Cham : Springer International Publishing AG,c2023 9783031469657 327 $aCutting Edge Exploration and Drilling Technologies -- Challenges in deep Opencast, Highwall, Offshore and Placer Mining -- Transition from Opencast to Underground mining -- Mass Production Technologies in deep underground mines -- Application of Artificial Intelligence, Machine Learning, Data Analytics in Mine Automation -- Advancement in Explosives and Blasting Techniques -- Extraction and utilisation of Critical Minerals and Rare Earth Elements -- Application of Information and Communication Technology (ICT) in Smart Mining -- Innovations in Oil and Gas Industry. 330 $aRising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry. It is now ardently necessary to identify and define the best mining practices addressing societal needs. In view of these, The Mining, Geological and Metallurgical Institute of India (MGMI), established way back on 16th January 1906, and one of the oldest institutions of this kind in the world, is organizing the 10th Asian Mining Congress (AMC) during November 06-09, 2023 in Kolkata, India with the Theme, ?Roadmap for Best Mining Practices vis-à-vis Global Transformation?. The AMC and International Mining Exhibition (IME), held concurrently, are flagship international events organized by MGMI biennially since its centenary year. This series have provided ample opportunities to all stakeholders including practicing engineers, machinery manufacturers, planners, regulators, academicians, scientists and policy makers, for sharing their knowledge, experience and expertise and exhibit their products that can benefit the mining and mineral industries not only in the Asian region but also globally. This proceeding of 10th AMC contains the articles written by eminent persons and stalwarts in their respective domains. It is a collection of contemporary articles narrating recent advancements in mining sector. 410 0$aSpringer Proceedings in Earth and Environmental Sciences,$x2524-3438 606 $aPhysical geography 606 $aGeotechnical engineering 606 $aMining engineering 606 $aEnvironmental monitoring 606 $aPollution 606 $aMachine learning 606 $aEarth System Sciences 606 $aGeotechnical Engineering and Applied Earth Sciences 606 $aMining and Exploration 606 $aEnvironmental Monitoring 606 $aPollution 606 $aMachine Learning 615 0$aPhysical geography. 615 0$aGeotechnical engineering. 615 0$aMining engineering. 615 0$aEnvironmental monitoring. 615 0$aPollution. 615 0$aMachine learning. 615 14$aEarth System Sciences. 615 24$aGeotechnical Engineering and Applied Earth Sciences. 615 24$aMining and Exploration. 615 24$aEnvironmental Monitoring. 615 24$aPollution. 615 24$aMachine Learning. 676 $a550 676 $a910.02 700 $aSinha$b A$g(Amalendu)$0870919 701 $aSarkar$b Bhabesh Chandra$01435984 701 $aMandal$b Prabhat Kumar$01435985 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910755082403321 996 $aProceedings of the 10th Asian Mining Congress 2023$94497138 997 $aUNINA