001444631 000__ 05002cam\a2200577Ia\4500
001444631 001__ 1444631
001444631 003__ OCoLC
001444631 005__ 20230310003720.0
001444631 006__ m\\\\\o\\d\\\\\\\\
001444631 007__ cr\un\nnnunnun
001444631 008__ 220223s2022\\\\sz\\\\\\o\\\\\001\0\eng\d
001444631 019__ $$a1299144392$$a1299275944$$a1299298174$$a1299386000$$a1302005885
001444631 020__ $$a9783030771850$$q(electronic bk.)
001444631 020__ $$a3030771857$$q(electronic bk.)
001444631 020__ $$z3030771849
001444631 020__ $$z9783030771843
001444631 0247_ $$a10.1007/978-3-030-77185-0$$2doi
001444631 035__ $$aSP(OCoLC)1298935249
001444631 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ
001444631 049__ $$aISEA
001444631 050_4 $$aQ325.5
001444631 08204 $$a006.3/1$$223
001444631 24500 $$aComputational intelligence in recent communication networks /$$cMariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Bassma Guermah, editors.
001444631 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001444631 300__ $$a1 online resource
001444631 4901_ $$aEAI/Springer Innovations in Communication and Computing
001444631 500__ $$aIncludes index.
001444631 5050_ $$aChapter 1. An Overview of Blockchain and 5G Networks -- Chapter 2. Deep Learning Approach for Interference Mitigation in FBMC/OQAM-MIMO Systems -- Chapter 3. Deep Learning in Non-Orthogonal Multiple Access for 5G and beyond Networks -- Chapter 4. Traffic Sign Detection: A Comparative Study between CNN and RNN -- Chapter 5. Merging Attack-Defense Tree and Game Theory to Analyze Vehicular Ad-Hoc Network Security -- Chapter 6. A Secure Vehicle to Everything (V2X) Communication Model for Intelligent Transportation System -- Chapter 7. A Novel Unsupervised Learning Method for Intrusion Detection in Software Defined Networks -- Chapter 8. Deep Reinforcement Learning Modeling of a V2V communication-based Bike Avoidance Protocol for Increased Vehicular Flow -- Chapter 9. Deep Learning-based Modeling for Pedestrian Perception and Decision Making in Refuge Island for Autonomous Driving -- Chapter 10. Machine Learning for Hate Speech Detection in Arabic Social Media -- Chapter 11. PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services -- Chapter 12. QSAR anti-HIV Feature Selection and Prediction for Drug Discovery using Genetic Algorithm and Machine Learning Algorithms -- Chapter 13. Mining Electronic Health Records of patient using Linked Data for Ranking Diseases -- Chapter 14. Deep Neural Networks based Delay Driving the Alpha Factors Ranking based Clustering: Exploring the COVID-19 Pandemics Impact on the Economy and Markets -- Chapter 15. An Artificial Immune System for the Management of the Emergency Divisions.
001444631 506__ $$aAccess limited to authorized users.
001444631 520__ $$aThis book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development. Presents Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve communication networks related issues as well as real world applications; Provides a focus on how AI/ML can be applied in different layers of communication networks; Highlights solutions that help analyze complex patterns in user data and ultimately improve productivity.
001444631 650_0 $$aMachine learning.
001444631 650_0 $$aComputational intelligence.
001444631 650_0 $$aTelecommunication systems.
001444631 650_0 $$aArtificial intelligence.
001444631 650_6 $$aApprentissage automatique.
001444631 650_6 $$aIntelligence informatique.
001444631 650_6 $$aSystèmes de télécommunications.
001444631 650_6 $$aIntelligence artificielle.
001444631 655_0 $$aElectronic books.
001444631 7001_ $$aOuaissa, Mariya.
001444631 7001_ $$aBoulouard, Zakaria.
001444631 7001_ $$aOuaissa, Mariyam.
001444631 7001_ $$aGuermah, Bassma.
001444631 77608 $$iPrint version: $$z3030771849$$z9783030771843$$w(OCoLC)1249072488
001444631 830_0 $$aEAI/Springer innovations in communication and computing.
001444631 852__ $$bebk
001444631 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77185-0$$zOnline Access$$91397441.1
001444631 909CO $$ooai:library.usi.edu:1444631$$pGLOBAL_SET
001444631 980__ $$aBIB
001444631 980__ $$aEBOOK
001444631 982__ $$aEbook
001444631 983__ $$aOnline
001444631 994__ $$a92$$bISE