LEADER 03266nam 22005895 450 001 9911057015703321 005 20260115120352.0 010 $a3-032-11957-X 024 7 $a10.1007/978-3-032-11957-5 035 $a(CKB)44970580000041 035 $a(MiAaPQ)EBC32491452 035 $a(Au-PeEL)EBL32491452 035 $a(DE-He213)978-3-032-11957-5 035 $a(OCoLC)1569917872 035 $a(EXLCZ)9944970580000041 100 $a20260115d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Information, Computing and Technology $eProceedings of the International Conference on Information, Computing and Technology (ICICT2025), Volume 2 /$fedited by Witold Pedrycz, John Wang, Jianqi Li 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (686 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1735 311 08$a3-032-11956-1 327 $aPrediction and Analysis of the Trend of Economic Management Strategy of Tourism Industry by Neural Network Model -- Research on the Application of Big Data-Driven Multi-Agent Reinforcement Learning in Autonomous Driving Traffic Control -- Low-Carbon Green Indicator System for Transportation Logistics and Energy Efficiency Optimization Methods. 330 $aThis book delivers a practical, forward-looking guide to cutting-edge developments at the intersection of information science, computing, and technology, equipping readers to bridge theoretical advancements with real-world application. By prioritizing actionable insights over abstract theory, it addresses the gap between rapid tech evolution and the need for accessible, applicable knowledge for professionals and learners alike. Rather than organizing content by traditional subdisciplines, this book adopts an interdisciplinary, problem-centric approach This novelty ensures readers grasp how technologies interact to solve complex challenges, a perspective often missing in more siloed texts. Intended for a broad audience, it serves as a go-to resource for tech professionals seeking to update their skills, upper-level undergraduate/graduate students in related fields, and researchers needing a concise overview of cross-domain progress. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1735 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aEngineering$xData processing 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Engineering 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aEngineering$xData processing. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Engineering. 676 $a006.3 700 $aPedrycz$b Witold$021029 701 $aPedrycz$01890056 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911057015703321 996 $aAdvances in Information, Computing and Technology$94531637 997 $aUNINA