CAN Data Transfer from Vehicle to Cloud via Smartphone.

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Publikováno v: Dokuz Eylul University Muhendislik Faculty of Engineering Journal of Science & Engineering / Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi; eyl2024, Vol. 26 Issue 78, p356-363, 8p

A machine learning assisted optical multistage interconnection network: Performance analysis and hardware demonstration

Autor: Sangeetha Rengachary Gopalan, Hemanth Chandran, Nithin Vijayan, Vikas Yadav, Shivam Mishra

Publikováno v: ETRI Journal, Vol 45, Iss 1, Pp 60-74 (2023)

Integration of the machine learning (ML) technique in all-optical networks can enhance the effectiveness of resource utilization, quality of service assurances, and scalability in optical networks. All-optical multistage interconnection networks (MIN

Externí odkaz: https://doaj.org/article/be64ae580a9d4ce4b445dc12d3171733

CONTENTION RESOLUTION WITH CONSTANT THROUGHPUT AND LOG-LOGSTAR CHANNEL ACCESSES.

Autor: BENDER, MICHAEL A.¹ bender@cs.stonybrook.edu, KOPELOWITZ, TSVI² kopelot@gmail.com, PETTIE, SETH² pettie@umich.edu, YOUNG, MAXWELL³ myoung@cse.msstate.edu

Publikováno v: SIAM Journal on Computing. 2018, Vol. 47 Issue 5, p1735-1754. 20p.

Improving inter-node communications in multi-core clusters using a contention-free process mapping algorithm.

Autor: Soryani, Mohsen¹ soryani@iust.ac.ir, Analoui, Morteza¹ analoui@iust.ac.ir, Zarrinchian, Ghobad¹ zarrinchian@comp.iust.ac.ir

Publikováno v: Journal of Supercomputing. Oct2013, Vol. 66 Issue 1, p488-513. 26p.

Window-based greedy contention management for transactional memory: theory and practice.

Autor: Sharma, Gokarna¹ gokarna@csc.lsu.edu, Busch, Costas¹ busch@csc.lsu.edu

Publikováno v: Distributed Computing. Jun2012, Vol. 25 Issue 3, p225-248. 24p. 1 Diagram, 3 Charts, 7 Graphs.