24,167 datasets found

Ear biometric identification using preprocessing and deep-learning techniques.

The dataset used in the paper is a multi-server multi-access edge vehicular network scenario, where the terminal device (e.g., the blue vehicle) within the overlapped area needs...

Aerial imaging of ground targets is highly challenging because of various factors that affect light propagation through different mediums. Several convolutional neural...

The dataset used in the paper is a small drug-gene-disease network.

The dataset used in the paper is a sparse user-item interaction matrix, a protein-protein similarity matrix, and a drug-drug similarity matrix.

The dataset used in the study of smartphone adoption and usage, including bibliometric analysis and content analysis of influential papers.

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used the ImageNet-1K, COCO, and ADE20K datasets for image classification,...

Retrieving labels for noisy input patterns.

Self-organization to exponential capacity.

Robust exponential memory in Hopfield networks.

Linear error-correcting codes embedded in associative content-addressable memory networks.

Associative content-addressable memory with exponentially many robust stable states and robust error correction.

The CSL dataset is a large-scale Chinese scientific literature dataset obtained from the "Qianyan" open-source NLP platform. It consists of 396,209 Chinese core journal papers'...

The PHOENIX-2014-T dataset is an extension of the PHOENIX-2014 dataset, which includes parallel sign language videos, gloss annotations, and spoken language translations.

The PHOENIX-2014 dataset is a publicly available German Sign Language dataset, which is the most popular benchmark for continuous Sign Language Recognition (SLR). The corpus was...

Two large OCT datasets from clinical trials on patients with neovascular age-related macular degeneration.

Kaggle US simulation & segmentation dataset is a dataset of ultrasound images, annotated with eight anatomical structures.

AbdomenCT-1K dataset is a large-scale dataset of abdominal CT scans, annotated with four anatomical structures: liver, kidney, spleen, and pancreas.

Multiple Sclerosis Lesion Segmentation dataset

Liver lesion segmentation dataset