001445610 000__ 03053cam\a2200529Ii\4500 001445610 001__ 1445610 001445610 003__ OCoLC 001445610 005__ 20230310003840.0 001445610 006__ m\\\\\o\\d\\\\\\\\ 001445610 007__ cr\cn\nnnunnun 001445610 008__ 220401s2022\\\\sz\\\\\\ob\\\\001\0\eng\d 001445610 019__ $$a1308795835$$a1309016259$$a1309052785 001445610 020__ $$a3030950417$$qelectronic book 001445610 020__ $$a9783030950415$$q(electronic bk.) 001445610 020__ $$z3030950409 001445610 020__ $$z9783030950408 001445610 0247_ $$a10.1007/978-3-030-95041-5$$2doi 001445610 035__ $$aSP(OCoLC)1308394587 001445610 040__ $$aYDX$$beng$$erda$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dYDX$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ 001445610 049__ $$aISEA 001445610 050_4 $$aQ335$$b.K56 2022 001445610 08204 $$a006.3$$223 001445610 1001_ $$aKim, Haesik,$$eauthor. 001445610 24510 $$aArtificial intelligence for 6G /$$cHaesik Kim. 001445610 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022. 001445610 300__ $$a1 online resource 001445610 336__ $$atext$$btxt$$2rdacontent 001445610 337__ $$acomputer$$bc$$2rdamedia 001445610 338__ $$aonline resource$$bcr$$2rdacarrier 001445610 504__ $$aIncludes bibliographical references and index. 001445610 5050_ $$aPart I: Artificial Intelligence Techniques -- Chapter 1. Historical Sketch of Artificial Intelligence -- Chapter 2. Unsupervised Learning -- Chapter 3. Supervised Learning -- Chapter 4. Gradient Descent -- Chapter 5. Reinforcement Learning -- Chapter 6. Deep Learning -- Part II: Artificial Intelligence Enabled Techniques for 6G -- Chapter 7. Artificial Intelligence and 6G -- Chapter 8. AI for Big Data -- Chapter 9. AI Enabled Wireless Communications -- Chapter 10. AI Enabled Networks -- Chapter 11. AI Empowered Mobile Applications. 001445610 506__ $$aAccess limited to authorized users. 001445610 520__ $$aThis textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI. Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as: unsupervised learning; supervised learning; reinforcement learning; and deep learning. It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. 001445610 650_0 $$aArtificial intelligence. 001445610 650_0 $$aMachine learning. 001445610 650_0 $$aWireless communication systems$$xData processing. 001445610 650_6 $$aIntelligence artificielle. 001445610 650_6 $$aApprentissage automatique. 001445610 650_6 $$aTransmission sans fil$$xInformatique. 001445610 655_0 $$aElectronic books. 001445610 77608 $$iPrint version:$$z3030950409$$z9783030950408$$w(OCoLC)1289363131 001445610 852__ $$bebk 001445610 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95041-5$$zOnline Access$$91397441.1 001445610 909CO $$ooai:library.usi.edu:1445610$$pGLOBAL_SET 001445610 980__ $$aBIB 001445610 980__ $$aEBOOK 001445610 982__ $$aEbook 001445610 983__ $$aOnline 001445610 994__ $$a92$$bISE