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Wyniki wyszukiwania dla: ELECTRONIC WORD OF MOUTH
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MODALITY corpus - SPEAKER 33 - COMMANDS C1
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - COMMANDS C1
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 21 - COMMANDS C2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 01 - SEQUENCE S5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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Study of the influence of the presence of Dr fimbriae on the sedimentation of recombinant Escherichia coli strains: AAEC191A and BL21(DE3)
Dane BadawczeCell sedimentation in the medium is a common phenomenon in most bacterial enviroments. This study specifically investigated the impact of Dr fimbriae presence on cell deposition. To explore this, recombinant Escherichia coli strains were employed, including BL21(DE3)/pCC90, BL21(DE3)/pACYCpBAD, BL21(DE3)/pCC90 Dra D-mut, BL21(DE3)/pCC90 D54-STOP, AAEC191A/pCC90,...
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X-ray diffraction patterns of BaCe0.6Zr0.2Y0.1M0.1O3-δ (M = Fe, Pr, Tb)
Dane BadawczeThe dataset consists of three raw X-ray diffraction (XRD) files collected using a Phillips X’Pert Pro diffractometer (CuKα radiation (𝜆 = 1.541 Å), under 40 kV and 30 mA). The diffraction patterns of BaCe0.6Zr0.2Y0.1Fe0.1O3-δ (BCZYFe), BaCe0.6Zr0.2Y0.1Pr0.1O3-δ (BCZYPr), and BaCe0.6Zr0.2Y0.1Tb0.1O3-δ (BCZYTb) were collected at room temperature. Collected...
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Dual role of oxygen-related defects in the luminescence kinetics of AlNMn2+
Dane BadawczeThis dataset presents the impact of temperature and pressure on AlN:Mn2+ luminescence kinetics. Unusual behavior of Mn2+ optical properties during UV excitation is observed, where a strong afterglow luminescence of Mn2+ occurs even at low temperatures. When the temperature increases, the contribution of the afterglow luminescence is further enhanced,...
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Continuum orbitals in low energy scattering of electrons from Ar, Kr, Xe, Rn and Og atoms
Dane BadawczeThe dataset includes relativistic continuum electron wave functions (continuum orbitals, continuum spinors) for elastic scattering of electrons from Argon (Ar), Krypton (Kr), Xenon (Xe), Radon (Rn) and Oganesson (Og) atoms, calculated using the Multiconfiguration Dirac-Hartree-Fock method (MCDHF), at very low electron energies (0.0001 - 0.001 eV). Only...
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Vident-synth: a synthetic intra-oral video dataset for optical flow estimation
Dane BadawczeWe introduce Vident-synth, a large dataset of synthetic dental videos with corresponding ground truth forward and backward optical flows and occlusion masks. It can be used for:
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Vident-real: an intra-oral video dataset for multi-task learning
Dane BadawczeWe introduce Vident-real, a large dataset of 100 video sequences of intra-oral scenes from real conservative dental treatments performed at the Medical University of Gdańsk, Poland. The dataset can be used for multi-task learning methods including: