Department of Computer Engineering, University of Peradeniya
- 282 followers
- Peradeniya, Sri Lanka
- http://www.ce.pdn.ac.lk/
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- api.ce.pdn.ac.lk Public
API Portal of the Department of Computer Engineering https://api.ce.pdn.ac.lk/
cepdnaclk/api.ce.pdn.ac.lk’s past year of commit activity - cepdnaclk.github.io Public
Github pages website for Department of Computer Engineering, University of Peradeniya. https://cepdnaclk.github.io
cepdnaclk/cepdnaclk.github.io’s past year of commit activity - projects.ce.pdn.ac.lk Public
This is the student project portfolio website of the Department of Computer Engineering, University of Peradeniya. https://projects.ce.pdn.ac.lk
cepdnaclk/projects.ce.pdn.ac.lk’s past year of commit activity - portal.ce.pdn.ac.lk Public
Internal and Public web service provider of the Department of Computer Engineering
cepdnaclk/portal.ce.pdn.ac.lk’s past year of commit activity - e15-3yp-A-GUI-for-controlling-and-supervising-multiple-robots-remotely Public
The idea is to create a GUI platform where a user can give commands which is to be followed by some ground units in a remote location. The server can identify the starting locations of the robots and manipulate them to do the task in the most efficient way as possible.
cepdnaclk/e15-3yp-A-GUI-for-controlling-and-supervising-multiple-robots-remotely’s past year of commit activity - people.ce.pdn.ac.lk Public
Student and staff profile website of the Department of Computer Engineering, University of Peradeniya https://people.ce.pdn.ac.lk/
cepdnaclk/people.ce.pdn.ac.lk’s past year of commit activity - e19-co502-RV32IM-Pipeline-Implementation-Group1 Public
This repository contains an implementation of a RISC-V RV32IM processor with a 5-stage pipeline architecture. The design includes instruction fetch, decode, execute, memory access, and write-back. It supports integer operations, multiplication, and memory access as defined in the RV32IM instruction set.
cepdnaclk/e19-co502-RV32IM-Pipeline-Implementation-Group1’s past year of commit activity - e20-4yp-Optimizing-Communication-Efficiency-and-Latency-in-Blockchain-Enabled-FL-Systems Public
An advanced cybersecurity framework where explainable AI (XAI) models are trained via federated learning across distributed nodes to detect threats in Wi-Fi 7 and 6G networks. Blockchain ensures secure, transparent sharing of threat intelligence and model updates, enhancing trust and integrity.
cepdnaclk/e20-4yp-Optimizing-Communication-Efficiency-and-Latency-in-Blockchain-Enabled-FL-Systems’s past year of commit activity
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