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The Deepfake face detection task involves a facial image of unknown authenticity for testing. While most deepfake detection methods take only the image as input, our literature demonstrates that conditioning the deepfake detector on identity—i.e., knowing whose deepfake face the picture might be—can enhance detection performance. Existing deepfake detection datasets, such as FaceForensics++ and DFDC, do not include identity information for authentic and deepfake faces.

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This data set contains: 

- Training dataset: 271 CT-scans of inner ears used for optimization and training of the model. 

- Validation dataset: 70 CT-scans of inner ears used for external validation. 

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160 Views

This data provides an overview of the simulation of Hybrid Electric Vehicles (HEVs) using MATLAB. HEVs have emerged as a promising solution for reducing emissions and improving fuel efficiency. MATLAB offers a flexible platform to accurately model and analyze the complex dynamics of hybrid powertrains, including various components and control strategies. The simulation capabilities enable the evaluation of HEV performance under different conditions, optimization of designs, and exploration of factors impacting energy consumption.

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The following dataset is used to test lossless compression algorithm on already compressed data, i.e. reduce data size even further without compromising its integrity. This Dataset has 1.000 “.txt” text files extracted from other Datasets and compressed in “.zip” format with a maximum size of 1 kB (Kilobyte), that is, 1.024 bytes. The largest Dataset file has 1670 characters including “text_zip (970).zip” spaces, and the smallest repository file has 14 characters with “text_zip (1).zip” spaces.

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This is the supplemental documents which include the latex file and figure files for the manuscript titled "Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART) ".

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600 sets of routes from different origin/destination pairs from London

This dataset contains 600 sets of routes from different origin/destination pairs. Each route has information about trip duration, route length, traffic, criminality, accidents, nature and tourist attractions nearby. The routes were calculated by HERE Maps, along with duration estimates, criminality and accidents were acquired from the UK Government open data website, and nature and tourist attractions were downloaded from OpenStreetMap.

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876 Views

Room-level occupancy data for thermal and vibration sensing systems, along with their two late fusion schemes, to control HVAC systems.

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226 Views

This dataset describes the daily mobility of buses in the urban area of Vannes (France) on a typical working day, and radio contacts between these buses, assuming different radio transmission ranges. IRISA / Université Bretagne Sud, DOI: https://doi.org/10.15783/qr0f-m304

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Captured Thread packets from OpenThread-enabled development boards.

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