korn101/AI-Admirals-Board-Game-EPE-321

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Created about 9 years ago
Updated about 9 years ago

korn101/AI-Admirals-Board-Game-EPE-321

korn101

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Artificial Intelligence Player for the Admirals board game as designed and implemented for the EPE 321 Software Engineering module

PiNumberStation

Pi-based FM Number Station w/ basic Speech Synthesis.

ArduinoLaunchControl

Arduino-based IGT signal only launch control / rev limiter / 2-step

PiControl

Control your headless Raspberry Pi with the AdaFruit LCD Plate

Neural-Network-Expert-System

Cancer Diagnosis AI using supervised learning techniques and a (surprisingly) small neural network implementation. Using object orientation for code readability - training is not fast.

Chess-AI-Adversarial-Search-and-Alpha-Beta-Pruning

THERE IS A KNOWN ISSUE FOR THIS IMPLEMENTATION. Chess playing AI implemented in MATLAB compatible with ChessMaster

GeneticAlgorithm1

(Very) Basic genetic algorithm

Chess-AI-Uninformed-Search-Algorithms

Primitive AI to play chess end-games against Stockfish implemented in ChessMaster for MATLAB

RNG-PSK-Modulation-over-AWGN

Random Number Generation using Marsaglia-Bray and Wichmann-Hill algorithms for Uniform and Normal distribution pseudo-random numbers as well as BPSK/QPSK modulation simulation over Additive White Gaussian noise (AWGN) channel with plots of theoretical and simulation results

iOS_RNG

Quite a departure from my usual embedded and simulation orientated stuff - This is my first attempt at trying to familiarise myself with Swift and iOS development in XCode. Random Number generation with Marsaglia-Bray and Wichmann-Hill for iOS in Swift