prasanjit-dey Goto Github PK

accepted-paper

Welcome to quote our published papers, and the codes have been uploaded.

air-pollutant-analysis-delhi

air-pollution-forecasting

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

air-quality-index-prediction-using-lstm

I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis

combinedeepnet

FuseDeepNet to predict PM2.5 concentration

covid19-prediction

COVID-19 prediction using ARIMA model

cryptocurrency-price-prediction

Cryptocurrency Price Prediction Using LSTM neural network

dimension_reduction

gas-concentration-prediction

CO2 gas concentration prediction using LSTM model

iot-based-rfid

We developed an IoT-based RFID card reader applied in taking attendance in school.

keras-multi-head

A wrapper layer for stacking layers horizontally

lag-llama

ltsf-linear

This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"

medium_data_preprocessing

Repository for the medium article about data preprocessing

nes-vit-net

nesdeepnet

NO2 and CO concentration prediction.

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

news_article

nf-vae

numpy

The fundamental package for scientific computing with Python.

object_detection-from-stitching-video

Real-time object detects from video stitching, and the final result is shown in a web browser using generate URL.

orestismk-multivariate-forecast-with-var-svr-rnn-lstm

Forecasting exchange rates by using commodities prices

pm2.5

long-short-term memory and a bidirectional gated recurrent unit (BiLSTM−BiGRU) to predict PM2.5 concentration

pollutionnet

prasanjit-dey.github.io

Prasanjit Dey Personal Website

preprocess-of-data-using-machine-learning

In the project, we have preprocessed and cleaned the CSV data. Then cleaned dataset is used for machine learning model training and testing purposes.

pso-cnn

Unofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/Keras

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

satellite-image-time-series-datasets

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.

satellitepollutioncnn

Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images