Muutke küpsiste eelistusi

E-raamat: Artificial Intelligence, Data Science and Applications: ICAISE'2023, Volume 2

Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 196,98 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability.- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel.- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments.- Exploring the Impact of Convolutions on LSTM Networks for Video Classification.- Classification algorithms implementation for fire prevention data on multiple wireless node sensors.- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process.- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine.- Intrusion Detection in Software-Defined Networking using Machine Learning Models.- Neural Network for link Prediction in social network.- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems.- YOLO-based Approach for Intelligent Apple Crop Health Assessment.- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.