LEADER 02118nam 2200481 450 001 9910403760803321 005 20200819165854.0 010 $a0-19-257261-X 010 $a0-19-187320-9 010 $a0-19-257260-1 035 $a(CKB)4100000007741156 035 $a(MiAaPQ)EBC5717507 035 $a(StDuBDS)EDZ0002050858 035 $a(PPN)237152150 035 $a(EXLCZ)994100000007741156 100 $a20190130d2019 fy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aThe politics of education in developing countries $efrom schooling to learning /$fedited by Sam Hickey, Naomi Hossain$b[electronic resource] 205 $aFirst edition. 210 1$aOxford :$cOxford University Press,$d2019. 215 $a1 online resource (256 pages) 225 1 $aOxford scholarship online 300 $aPreviously issued in print: 2019. 300 $aIncludes index. 330 8 $aWhy have many developing countries that have succeeded in expanding access to education made such limited progress on improving learning outcomes? There is a growing recognition that the learning crisis constitutes a significant dimension of global inequality and also that educational outcomes in developing countries are shaped by political as well as socio-economic and other factors. This book focuses on how politics shapes the capacity and commitment of elites to tackle the learning crisis in six developing countries: Bangladesh, Cambodia, Ghana, Rwanda, South Africa, and Uganda. 410 0$aOxford scholarship online. 606 $aEducation$xPolitical aspects$zDeveloping countries 606 $aEducation and state$zDeveloping countries 615 0$aEducation$xPolitical aspects 615 0$aEducation and state 676 $a370.91724 702 $aHickey$b Samuel$f1972- 702 $aHossain$b Naomi 801 0$bStDuBDS 801 1$bStDuBDS 906 $aBOOK 912 $a9910403760803321 996 $aThe politics of education in developing countries$91923512 997 $aUNINA LEADER 03398nam 22006735 450 001 9910678257003321 005 20251113183851.0 010 $a3-031-15432-0 024 7 $a10.1007/978-3-031-15432-4 035 $a(MiAaPQ)EBC7206747 035 $a(Au-PeEL)EBL7206747 035 $a(CKB)26183492500041 035 $a(DE-He213)978-3-031-15432-4 035 $a(PPN)269095276 035 $a(EXLCZ)9926183492500041 100 $a20230301d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Methods with Applications in Volcanology and Seismology /$fby Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (216 pages) 225 1 $aAdvances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth?s Interior,$x2364-3285 311 08$aPrint version: Hajian, Alireza Intelligent Methods with Applications in Volcanology and Seismology Cham : Springer International Publishing AG,c2023 9783031154317 320 $aIncludes bibliographical references. 327 $aChapter1-Intelligent methods and motivations to use in volcanology and seismology -- Chapter2-Machine Learning: The concepts -- Chapter 3 - Machine Learning Applications in volcanology and seismology -- Chapter 4 - Deep Learning: The concepts -- Chapter 5:Deep Learning: Applications in Seismology and Volcanology -- Chapter 6: Evolutionary Algorithms with focus on Genetic Algorithm -- Chapter 7: Application of Genetic Algorithm in volcanology and seismology. 330 $aThis book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology. The complex system of volcanoes and also earthquakes is a big challenge to identify their behavior using available models, which motivates scientists to apply non-model based methods. As there are lots of seismology and volcanology data sets, i.e., the local and global networks, one solution is using intelligent methods in which data-based algorithms are used. . 410 0$aAdvances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth?s Interior,$x2364-3285 606 $aPhysical geography 606 $aMachine learning 606 $aGeology 606 $aNatural disasters 606 $aEarth System Sciences 606 $aStatistical Learning 606 $aGeology 606 $aNatural Hazards 615 0$aPhysical geography. 615 0$aMachine learning. 615 0$aGeology. 615 0$aNatural disasters. 615 14$aEarth System Sciences. 615 24$aStatistical Learning. 615 24$aGeology. 615 24$aNatural Hazards. 676 $a006.3 676 $a551.21 700 $aHajian$b Alireza$01063315 702 $aNunnari$b Giuseppe 702 $aKimiaefar$b Roohollah 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910678257003321 996 $aIntelligent Methods with Applications in Volcanology and Seismology$93067759 997 $aUNINA