sansastra

Animal-Human-Cohabitation

Building an early warning system which detects wild animals near the road/rail with the help of wireless sensor networks and alerts passing vehicles of possible animal crossing.

Anomaly-Detection

Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.

clustering_ml

DaaS-Delay

Markov-Modeling-EON

Model the resource allocation in eleastic optical networks using continuous time Markov chain.

Markov-Modeling-EON-DF

Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.

netbench-reconf

Trajectory-Prediction

A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.

uncertainty_edl_graph

Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering

WDM-PON

A Java-based simulator for wavelength division multiplexed or orthogonal frequency division multiplexed passive optical networks.

sansastra/Trajectory-Prediction

A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.

sansastra/Anomaly-Detection

Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.

sansastra/uncertainty_edl_graph

Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering

sansastra/WDM-PON

A Java-based simulator for wavelength division multiplexed or orthogonal frequency division multiplexed passive optical networks.

sansastra/Animal-Human-Cohabitation

Building an early warning system which detects wild animals near the road/rail with the help of wireless sensor networks and alerts passing vehicles of possible animal crossing.

sansastra/Markov-Modeling-EON-DF

Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.

sansastra/Markov-Modeling-EON

Model the resource allocation in eleastic optical networks using continuous time Markov chain.

sansastra/netbench-reconf

sansastra/clustering_ml

sansastra/DaaS-Delay

sansastra/DaaS-Variable

sansastra/dc-reconfig

Topology and bandwidth reconfiguration simulation for datacenter and HPC networks using a Netbench simulator

sansastra/dc_traffic_gen

Data center time varying traffic generator from real traces

sansastra/Defrag-Analytical

sansastra/Defrag-HTA

A JAVA-based simulator for evaluating defragmentation in elastic optical network with holding time awareness of traffic flows

sansastra/Defrag-HTA-Aux

A Java-based Simulator for Evaluating any Spectrum Allocation Policy and defragmentation in Elastic Optical Networks

sansastra/evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

sansastra/JavaFileReadNSFpath

nsf-path

sansastra/netbench

Packet simulator for data center network topologies, routing, and congestion control

sansastra/ngncs_hpc

hpc ngnc

sansastra/philly-traces

sansastra/pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

sansastra/sansastra.github.io

My website