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Found 5 papers, 1 papers with code
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
Analysis of Magnetic Resonance Imaging (MRI) scans is one of the most effective methods for the diagnosis and treatment of brain cancers such as glioblastoma.
Deep object detection for waterbird monitoring using aerial imagery
In this work, we present a deep learning pipeline that can be used to precisely detect, count, and monitor waterbirds using aerial imagery collected by a commercial drone.
COVID-19 Smart Chatbot Prototype for Patient Monitoring
Many COVID-19 patients developed prolonged symptoms after the infection, including fatigue, delirium, and headache.
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models
Time series of daily cumulative COVID-19 cases were used for generating 1-day, 3-day, and 5-day forecasts using several LSTM models and ARIMA.
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems
In this paper, we formulate an algorithm that maps the ranking process in a person re-identification algorithm to a problem in graph theory.
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