Artificial Intelligence
This is for BGP anomaly analysis
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This dataset contains facial expressions from different sides. the top-level videos are shot on Logitech c270 and the bottom ones are shot with an LG g6. The videos are continuous shots at 480p from different angles.
This is meant to serve as a dataset for facial expression recognition under different angles and poses.
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ALL-IDB (Acute Lymphoblastic Leukemia) Image Database for Image Processing
ALL-IDB dataset comprises of two subsets among them one subset has 260 segmented lymphocytes of them 130 belongs to the leukaemia and the remaining 130 belongs to the non leukaemuia class it requires only classification. second subset has around 108 non segmented blood images that belongs to the leukaemia and non leukaemia groups thus requires segmentation and classification.
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A speech dataset used for fake speech detection. The fake speech are generated by 8 well-known latest deep learning based open-sourced tools and 8 commercial speech synthesis products. All speech are in Chinese or English. It contains more than 127,890 synthetic speech and 14,400 natural speech in English and mandarin Chinese languages.
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EmoSurv is a dataset containing keystroke data along with emotion labels. Timing and frequency data is recorded while participants are typing free and fixed texts before and after being induced specific emotions. These emotions are: Anger, Happiness, Calmness, Sadness, and Neutral state.
First, data is collected while the participant is in a neutral state. Then, the participant watches an eliciting video. Once the emotion is induced in the participant, he types another fixed and free text.
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Shoulder Physiotherapy Activity Recognition 9-Axis Dataset (SPARS9x)
Suggested uses of this dataset include performing supervised classification analysis of physiotherapy exercises, or to perform out-of-distribution detection analysis with unlabeled activities of daily living data.
Description:
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The dataset provides Abilify Oral user reviews and ratings for drug’s satisfaction, effectiveness, and ease of use on different age groups.
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Abstract
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Efficient Privacy-Preserving Federated Learning for Industrial 4.0
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The dataset is composed of digital signals obtained from a capacitive sensor electrodes that are immersed in water or in oil. Each signal, stored in one row, is composed of 10 consecutive intensity values and a label in the last column. The label is +1 for a water-immersed sensor electrode and -1 for an oil-immersed sensor electrode. This dataset should be used to train a classifier to infer the type of material in which an electrode is immersed in (water or oil), given a sample signal composed of 10 consecutive values.
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