Somanath Tripathy – författare
Visar alla böcker från författaren Somanath Tripathy. Handla med fri frakt och snabb leverans.
9 produkter
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
Av Talal Ashraf Butt, Sumit Kundu m. fl.
E-bok, 2022
750 kr
Lägg i varukorg
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to …
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
Av Talal Ashraf Butt, Sumit Kundu m. fl.
E-bok, 2022
767 kr
Lägg i varukorg
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to …
Federated Learning
Security and Privacy
Av Minghong Fang, Harsh Kasyap m. fl.
E-bok, 2025
446 kr
Lägg i varukorg
As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data. Yet, despite its benefits, FL …
Federated Learning
Security and Privacy
Av Minghong Fang, Harsh Kasyap m. fl.
E-bok, 2025
433 kr
Lägg i varukorg
As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data. Yet, despite its benefits, FL …
Federated Learning
Security and Privacy
Av Somanath Tripathy, Harsh Kasyap m. fl.
Inbunden, 2025
1030 kr
Lägg i varukorg
As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data. Yet, despite its benefits, FL …
Information Systems Security
17th International Conference, ICISS 2021, Patna, India, December 16–20, 2021, Proceedings
Av Somanath Tripathy, Rudrapatna K. Shyamasundar m. fl.
Häftad, 2021
737 kr
Lägg i varukorg
This book constitutes the proceedings of the 17th International Conference on Information Systems Security, ICISS 2021, held in Patna, India, during December 16-20, 2021.The 9 regular papers, 2 short papers and 4 work-in-progress papers included in this volume were carefully reviewed and selected …
Information Systems Security
17th International Conference, ICISS 2021, Patna, India, December 16–20, 2021, Proceedings
Av Rajiv Ranjan, Rudrapatna K. Shyamasundar m. fl.
E-bok, 2021
923 kr
Lägg i varukorg
This book constitutes the proceedings of the 17th International Conference on Information Systems Security, ICISS 2021, held in Patna, India, during December 16-20, 2021. The 9 regular papers, 2 short papers and 4 work-in-progress papers included in this volume were carefully reviewed and selected …
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
Av Subhendu Kumar Pani, Somanath Tripathy m. fl.
Häftad, 2024
654 kr
Lägg i varukorg
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to …
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
Av Subhendu Kumar Pani, Somanath Tripathy m. fl.
Inbunden, 2021
1466 kr
Lägg i varukorg
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to …