This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)

Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

proposed early detection method for parkinson's disease using deep learning on MRI dataset

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Kvasir-SEG: A Segmented Polyp Dataset

This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.

Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis

Using Image Processing and both classical and brand-new Machine Learning techniques such as SVM, k-NN, XGBoost, and also LSTM; we are trying to predict beforehand the driver's drowsiness and warn him/her by an alert before any crash happened.

Addresses the problem of reconstructing images acquired by diffuse optical tomography using deep learning.

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

This project primarily focuses on addressing the issue of early detection of learning disabilities in students, with a specific focus on dyslexia and attention deficit hyperactivity disorder (ADHD).

This project develops a predictive model to identify early signs of mental health issues in adolescents using social media activity, school performance, health records, and an AI chatbot. It analyzes emotional tone, academic changes, and health data, offering personalized recommendations and resources for mental wellness.

EDRN Production Program for the Public/Private Portal (P5)

Methods for Advance Detection of COVID-19.

A collection of extension methods for validating method arguments in order to spot bugs as quickly as possible.

Heart Disease Prediction Using Machine Learning is a logistic regression model that predicts heart disease based on medical data. It analyzes features like age and cholesterol, achieving 85.24% training accuracy and 80.49% testing accuracy, facilitating early detection for timely intervention.

Multiclass Skin lesion localization and Detection with YOLOv7-XAI Framework with explainable AI

Amburgey SM, AA Yackel Adams, B Gardner, B Lardner, AJ Knox, and SJ Converse. 2021. Tools for increasing visual encounter probabilities for invasive species removal: a case study of brown treesnakes. Neobiota 70:107-122.