55 datasets found

The dataset is used to represent data points through attribute values using measure theoretic basis for fuzzy theoretic analytical deep models.

The dataset used for training and testing the proposed method for restoring a single face image distorted by atmospheric turbulence.

The dataset C consisted of images taken above Paris. It was obtained by two instruments on board the Earth Observing-1 Mission (EO-1) satellite.

The dataset used in the paper is a collection of digital breast tomosynthesis (DBT) stacks with single micro-calcifications or masses inserted in the center of the stack.

The dataset contains coronavirus spike sequences for different hosts, including humans, bats, camels, swines, birds, and weasels.

Deep learning in optical metrology

Optimization of 1D diffraction grating

Electromagnetic simulation framework for machine learning

The dataset used for the experiments in this paper, which includes terrain relative navigation (TRN) system data.

The dataset used for the experiments in this paper, which includes guidance, navigation, and control (GNC) algorithm data.

A synthetic dataset for sceneries in the passenger compartment of ten different vehicles, to analyze machine learning-based approaches for their generalization capacities and...

The dataset used in this paper is a collection of T-cell receptor (TCR) repertoires from COVID-19 patients and healthy controls. The dataset is used to train and evaluate the...

The dataset used in the paper is a non-convex optimization problem, specifically the Rastrigin function and the Griewank function.

The dataset used in this paper is a multiclass classification task where the goal is to correctly predict which of the 7 activities is being performed by the user. The...

Driving behavior dataset collected from drivers using a driving simulator.

The dataset used in the paper is a noisy wheel dataset, which is a 2-D Euclidean space with inner circles that regulate the class proportions.

The dataset used in the paper is a set of UCI datasets, including adult, census, covertype, financial, joke, mushroom, and statlog.

The dataset is used to test the inference of effective couplings in Ising models.

The MIT dataset created by Severson et al. in 2019, aimed at studying the rapid charging issues of batteries.

The dataset used in Shiba et al. 2022, Botan: Bond targeting network for prediction of slow glassy dynamics by machine learning relative motion.