saugat76 Goto Github PK

breast_cancer_classification_cnn

Early Onset Breast Cancer Classification using Image Processing Techniques and CNN

eight_queen_min_conflict

Mini Project as a part of assignment that solves for the eight queen problem and display the render the final result on command line interface.

heart_disease_classification_cnn

Heart disease classification using the biomedical signal processing and deep learning on the ECG signal.

rpo_ppo_contrast

saugat76

Config files for my GitHub profile.

saugat76.github.io

smart_car_parking

Ultrasonic sensor based parking space detection and update on the website. Mini project for the completion of BE in Electronics and Communication Engineering.

sns_plot_rl_drl

Use of Seaborn library to plot episodic reward and other data using tensorboard logs for using in reinforcement learning and deep reinforcement learning experiments.

spam_classifier_naive_bayes

Spam classification using Naive Baye's classifier. Work on a public .csv dataset and has almost perfect predicton.

uav_nw_correlated_dql_connectivity

Incorporation of game theory (Correlated Q-Learning) for UAV based communication system. UAV-based communication system environment is defined by the users position in a target area.

uav_nw_madql_connectivity_tensorflow

Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. Additional improvement over the other setup by the use of Deep Q Learning approach.

uav_nw_madql_state_info

Multi UAV distributed system with sub band allocation to the ground user based on the UAV capacity to maximize the number of user served. Compared to the previous code this project uses information exchange between the UAVs. The UAVs have the knowledge of others UAV in the same target environment. We opted to used DQL for the simplicity case which may be further expanded to use other reinforcement learning approach.

uav_nw_maql_connectivity

Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput.

uav_subband_allocation_dqn_pytorch

ugvmazesolver

Unmaned Ground Vechicle using Raspberry Pi board solving a maze based on the shortest and optimal path found using the data obtained from UAV