Hoppa till sidans huvudinnehåll

2 079 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.


Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems.The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‑centric society of the future. New applications are increasingly reliant on machine‑to‑machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‑optimization for the task at hand while ensuring high dependability and ultra‑low latency.Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision‑making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required.AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi‑agent systems and network ultra‑broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.

Produktinformation

  • Utgivningsdatum2024-06-14
  • Mått178 x 254 x 18 mm
  • Vikt453 g
  • FormatInbunden
  • SpråkEngelska
  • Antal sidor236
  • FörlagTaylor & Francis Ltd
  • ISBN9781032632032
Hoppa över listan

Du kanske också är intresserad av

Cognitive Machine Intelligence

Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz, Tarandeep Kaur Bhatia, Isra Univ.) Khan, Inam Ullah (Dept. of Electronic Engineering, SEAS, Ibn Zohr Univ.) Hajjami, Salma El (Computer Science Dept., Faculty of Science, Morocco) Belaqziz, Salwa (Ibn Zohr University, India) Bhatia, Tarandeep Kaur (University of Petroleum and Energy Studies

Inbunden

3 029 kr

Smart Applications of Artificial Intelligence and Big Data

Salwa Belaqziz, Salma El Hajjami, Hicham Amellal, Redouan Lahmyed, Lahcen Koutti, Boulouz Abdellah, Inam Ullah Khan, Morocco) Belaqziz, Salwa (Ibn Zohr University, Ibn Zohr Univ.) Hajjami, Salma El (Computer Science Dept., Faculty of Science

Inbunden

2 169 kr

Artificial Intelligence for Intelligent Systems

Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah, Isra Univ.) Khan, Inam Ullah (Dept. of Electronic Engineering, SEAS, Muhammad (University of Central Asia Naryn) Fayaz, UK) Ullah, Rehmat (Cardiff Metropolitan University

Inbunden

3 029 kr

Ethical Artificial Intelligence in Power Electronics

Tarandeep Kaur Bhatia, Salma El Hajjami, Keshav Kaushik, Gayo Diallo, Mariya Ouaissa, Inam Ullah Khan, India) Bhatia, Tarandeep Kaur (University of Petroleum and Energy Studies, Ibn Zohr Univ.) Hajjami, Salma El (Computer Science Dept., Faculty of Science, India) Kaushik, Keshav (UPES, Dehradun, France) Diallo, Gayo (Bordeaux Population Health Research Center, University of Bordeaux, Isra Univ.) Khan, Inam Ullah (Dept. of Electronic Engineering, SEAS

Inbunden

2 599 kr

AIoT Innovations in Digital Health

Inam Ullah Khan, Salma El Hajjami, Shashi Kant Gupta, Hameedur Rahman, Thiagarajan Yogamoorthi, Inam Ullah, Muhammad Adnan Khan, Isra Univ.) Khan, Inam Ullah (Dept. of Electronic Engineering, SEAS, Ibn Zohr Univ.) Hajjami, Salma El (Computer Science Dept., Faculty of Science

Inbunden

2 139 kr

Future Tech Startups and Innovation in the Age of AI

Inam Ullah Khan, Hamed Taherdoost, Mitra Madanchian, Mariya Ouaissa, Salma El Hajjami, Hameedur Rahman, Isra Univ.) Khan, Inam Ullah (Dept. of Electronic Engineering, SEAS, Canada) Taherdoost, Hamed (University Canada West, Mitra (University Canada West) Madanchian, Ibn Zohr Univ.) Hajjami, Salma El (Computer Science Dept., Faculty of Science

Inbunden

2 769 kr