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firdosesaeik's Projects

ai-pacman-projects icon ai-pacman-projects

Implemented various AI algorithms in Pac-Man projects developed by UC Berkeley. Implemented informed/blind state-space search using search algorithms like BFS, DFS, UCS and A* algorithm with heuristic calculation. Designed an algorithm for reflex agent, minimax and alpha-beta pruning. Reinforcement Learning using MDP (Value Iteration and Policy Evaluation) - Implemented Markov Decision process using Value iteration in the Pacman World. Designed perceptron classifier for data classification. Developed applications using python. http://ai.berkeley.edu/project_overview.html

books icon books

Collection of Programming, Databases, Linux & Tools Books

cloudsim-plus icon cloudsim-plus

A modern, full-featured, highly extensible and easier-to-use Java 8+ Framework for Cloud Computing Simulation β›…οΈπŸ—

er_ws_algorithms icon er_ws_algorithms

Implementation of Erdos-Renyi and Watts-Strogatz in randomly generated graphs

erdos-renyi_graphs icon erdos-renyi_graphs

A Java program that generates Erdos-Renyi graphs using adjacency matrices to store data about edges. Computes the probability of a graph surpassing a threshold for longest path possible.

eua-dataset icon eua-dataset

Edge server, user dataset for Edge Computing research

mecoptimaloffloading icon mecoptimaloffloading

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

models icon models

Models and examples built with TensorFlow

netmode-cloudsim icon netmode-cloudsim

A computational offloading simulation scenario using CloudSim Plus tools.

socom icon socom

A semi-online Computational Offloading Model, which utilizes users’ behavior prediction method to optimize task offloading in edge computing environments.

timeseries_ml icon timeseries_ml

This project is made to work on Time-series data and build a ML model to predict QCI. The data used is MAC, RRC and PDCP information gathered from a moving UE in 5G technology.

uara-drl icon uara-drl

This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.

vvdec icon vvdec

Fraunhofer Versatile Video Decoder (VVdeC)

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