Comparison Of Deep Reinforcement Learning Algorithms In Computer Network Traffic Congestion Control

MAYANJA, Abubakar

Due to high advances in production of technological devices and a sharp increase in the Internet usage in contemporary decades, the Internet and other small network connections have become a basic need in life as nearly almost all the daily consumed information has to be gathered online from news, movies, books etc. However, as the number of the Internet users escalate, the momentum of the Internet decelerates as a result of data traffic congestion within the networks. To regulate this issue, a couple of predestined algorithms such as TCP-Reno and TCP-Vegas are employed to counterbalance the s ...Daha fazlası

Tez 2021 ALTUN, Hüseyin Oktay KTO Karatay Üniversitesi 4 Görüntülenme

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Innovative Standalone Massive Channel Temperature Monitoring System For Cms Detector

TEKİŞ, Hatice

Compact Muon Solenoid (CMS) experiment has been preparing for Upgrade-2 and High Luminosity-Large Hadron Collider (HL-LHC) projects during Long Shutdown 2 (LS2) by replacing and enhancing electronics and the components of its detector. The Upgrade-2 project will implement high intensities in the collisions, which results in a highly integrated luminosity of about 2500 f b−1 at the heart of the detector. Moreover, the experiment will gather more data with the HL-LHC, which enables an additional integrated luminosity by a factor of 10 beyond the current luminosity value of the Large Hadron Colli ...Daha fazlası

Tez 2021 YUMUŞAK, Semih KTO Karatay Üniversitesi 3 Görüntülenme