LEADER 04277nam 22006135 450 001 9910580161903321 005 20251113190114.0 010 $a981-16-9416-8 024 7 $a10.1007/978-981-16-9416-5 035 $a(MiAaPQ)EBC7026806 035 $a(Au-PeEL)EBL7026806 035 $a(CKB)24100621500041 035 $a(PPN)267815352 035 $a(OCoLC)1334886869 035 $a(DE-He213)978-981-16-9416-5 035 $a(EXLCZ)9924100621500041 100 $a20220630d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCongress on Intelligent Systems $eProceedings of CIS 2021, Volume 1 /$fedited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (933 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v114 311 08$aPrint version: Saraswat, Mukesh Congress on Intelligent Systems Singapore : Springer,c2022 9789811694158 320 $aIncludes bibliographical references and index. 327 $aThe Extraction of Automated Vehicles Traffic Accident Factors and Scenarios using Real-World data -- Leaf Disease Identification in Rice Plants Using CNN Model -- Twitter Sentiment Analysis Based on Neural Network Techniques -- Enhanced Stock Market Prediction using Hybrid LSTM Ensemble -- Classifying Microarray Gene Expression Cancer Data using Statistical Feature Selection and Machine Learning Methods -- Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making -- Developing an Improved Software Architecture Framework for Smart Manufacturing -- Intelligent Water Drops Algorithm Implementation using Mathematical Function -- A Study of Decision Tree Classifier to Predict Learner?s Progression -- An Overview of Blockchain and IoT in e-Healthcare System. 330 $aThis book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 ? 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition,human?computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v114 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aRobotics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aRobotics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aRobotics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aRobotics. 676 $a006.3 702 $aSaraswat$b Mukesh 712 12$aCongress on Intelligent Systems$d(2nd :$f2021 :$eOnline) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aPROCEEDING 912 $a9910580161903321 996 $aCongress on intelligent systems$92586081 997 $aUNINA LEADER 03706oam 22008894 450 001 9910162923503321 005 20250426110755.0 010 $a9781475568240 010 $a147556824X 010 $a9781475568264 010 $a1475568266 035 $a(CKB)3710000001045069 035 $a(MiAaPQ)EBC4800292 035 $a(IMF)WPIEA2016247 035 $aWPIEA2016247 035 $a(EXLCZ)993710000001045069 100 $a20020129d2016 uf 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aFood Inflation in Sub-Saharan Africa : $eCauses and Policy Implications /$fEmre Alper, Niko Hobdari, Ali Uppal 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2016. 215 $a1 online resource (41 pages) $cillustrations (some color), graphs, tables 225 1 $aIMF Working Papers 311 08$a9781475563115 311 08$a1475563116 320 $aIncludes bibliographical references. 330 3 $aThis paper analyzes food inflation trends in Sub-Saharan Africa (SSA) from 2000 to 2016 using two novel datasets of disaggregated CPI baskets. Average food inflation is higher, more volatile, and similarly persistent as non-food non-fuel (NF/NF) inflation, especially in low-income countries (LICs) in SSA. We find evidence that food inflation became less persistent from 2009 onwards, related to recent improvements in monetary policy frameworks. We also find that high food prices are driven mainly by non-tradable food in SSA and there is incomplete pass-through from world food and fuel prices and exchange rates to domestic food prices. Taken together, these finding suggest that central banks in low-income countries with high and persistent food inflation should continue to pay attention to headline inflation to anchor inflation expectations. Other policy levers include reducing tariffs and improving storage and transport infrastructure to reduce food pressures. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2016/247 606 $aInflation (Finance)$zAfrica, Sub-Saharan 606 $aFood prices 606 $aForeign Exchange$2imf 606 $aInflation$2imf 606 $aMacroeconomics$2imf 606 $aPrice Level$2imf 606 $aDeflation$2imf 606 $aCentral Banks and Their Policies$2imf 606 $aTrade: Other$2imf 606 $aAgriculture: Aggregate Supply and Demand Analysis$2imf 606 $aPrices$2imf 606 $aCommodity Markets$2imf 606 $aCurrency$2imf 606 $aForeign exchange$2imf 606 $aFood prices$2imf 606 $aInflation persistence$2imf 606 $aExchange rates$2imf 606 $aCommodity price shocks$2imf 607 $aChina, People's Republic of$2imf 615 0$aInflation (Finance) 615 0$aFood prices. 615 7$aForeign Exchange 615 7$aInflation 615 7$aMacroeconomics 615 7$aPrice Level 615 7$aDeflation 615 7$aCentral Banks and Their Policies 615 7$aTrade: Other 615 7$aAgriculture: Aggregate Supply and Demand Analysis 615 7$aPrices 615 7$aCommodity Markets 615 7$aCurrency 615 7$aForeign exchange 615 7$aFood prices 615 7$aInflation persistence 615 7$aExchange rates 615 7$aCommodity price shocks 676 $a332.414 700 $aAlper$b C. Emre$01881735 701 $aHobdari$b Niko$01133488 701 $aUppal$b Ali$01449384 801 0$bDcWaIMF 906 $aBOOK 912 $a9910162923503321 996 $aFood Inflation in Sub-Saharan Africa$94496513 997 $aUNINA