Use Cases and Testimonials
See first-hand how researchers, scientists, and engineers around the world are using the IEEE DataPort platform to advance their research.
Using Datasets to Develop Automated Plant Disease Detection Systems
Pandarasamy developed and open sourced the dataset to enable the development of efficient and robust paddy disease diagnosis systems. His dataset can be used to experiment and implement computer vision models to identify the type of disease present in leaf images.
Collecting Lung Sound Signals to Track Air Pollution and Teach Machine Learning Algorithms
The datasets can be applied to intelligent systems in machine learning and deep learning to recognize and classify normal signals of lung sounds from healthy subjects.
Lviv Professor Uses IEEE DataPort to Upload Social Media Datasets Identifying Propaganda
The dataset examines manipulation and propaganda of information during the Russian-Ukrainian war. The dataset contains text posts from social media networks popular among Russian-speaking people.
Uploading Dataset to IEEE DataPort to Advance Machine Learning Algorithms
This data is contributing to the advancement of Wi-Fi-enabled sensors and algorithms to detect human activity.
IEEE DataPort Provides More Insight for Problem Solving
My dataset is a valuable resource for all researchers. It provides a compilation listing of reputable journals indexed by Scopus, Web of Science, and the Directory of Open Access Journals (DOAJ) with metadata about each listed journal.
Sharing AI Data through the IEEE DataPort
In my dataset, I gathered EMG signals or ocular myoelectric activity during eye movements via four electrode sensors. The study collected data from ten subject who performed pseudo-random repetitions of common eye movements.
Reaching a Broader Community with IEEE DataPort
COVID-19 has undoubtedly affected the entire world. My dataset, which was developed based on the work of the GeoCOV19Tweets Dataset, is a network analysis of data from Twitter, extracting relationships between a geolocation and the hashtags used in tweets.
Increasing Exposure for a Sentiment Analysis of Hotel Reviews
IEEE DataPort provides global exposure for this researcher’s data on a system for recommending hotels based on a sentiment analysis of reviews, which has led to reproducible research.
Expediting Data Collection to Predict Coronavirus Outbreaks with IEEE DataPort
Researchers in Turkey are significantly reducing the time and resources required for data collection by using IEEE DataPort to store their research on predicting Coronavirus cases in Turkey by analyzing Tweets.
Gaining Citations and Accessing Quality Research Data to Classify Crisis-Related Tweets
With the IEEE DataPort platform, this researcher in New Delhi is gaining citations and direct connections with other researchers regarding his research on rapidly analyzing and classifying crisis-related Tweets.
A Platform for Affordable and Stable Data Storage for Human Activity Recognition
In Romania, this researcher used the IEEE DataPort platform for affordable and stable data storage for her research on fusion mechanisms for human activity recognition using automated machine learning.
Using IEEE DataPort to Gain Exposure for Photovoltaic Research
This researcher on behalf of the U.S. Department of Energy used the IEEE DataPort platform to gain exposure for his research on detecting corrupt or abnormal data in grid-tied photovoltaic plants.
