Results 51 to 60 of about 711,286 (269)

A Machine Learning Approach for Path Loss Prediction Using Combination of Regression and Classification Models

Sensors
One of the key parameters in radio link planning is the propagation path loss. Most of the existing methods for its prediction are not characterized by a good balance between accuracy, generality, and low computational complexity. To address this problem,
Ilia Iliev, Yuliyan Velchev, Peter Z. Petkov, Boncho Bonev, Georgi Iliev, Ivaylo Nachev   +5 more
doaj   +1 more source

Fortunoff Video Archive: New Initiatives for a New Digital Archive

Umanistica Digitale, 2019
The Fortunoff Archive recently completed a number of important milestones including the digitization of its entire collection, the development of a digital access system, migration of legacy metadata, and the launch of a partner site program that ...
Kevin Glick, Stephen Naron
doaj   +1 more source

Video Editing for Video Retrieval

Though pre-training vision-language models have demonstrated significant benefits in boosting video-text retrieval performance from large-scale web videos, fine-tuning still plays a critical role with manually annotated clips with start and end times, which requires considerable human effort.
Bin Zhu, Kevin Flanagan, Adriano Fragomeni, Michael Wray, Dima Damen   +4 more
openaire   +2 more sources

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

A Hierarchical Framework Combining Motion and Feature Information for Infrared-Visible Video Registration

Sensors, 2017
In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes.
Xinglong Sun, Tingfa Xu, Jizhou Zhang, Xiangmin Li   +3 more
doaj   +1 more source

Synthesis and analysis of sounds developed from the Bose-Einstein condensate: Theory and experimental results [PDF]

Muzikologija, 2018
Two seemingly incompatible worlds of quantum physics and acoustics have their meeting point in experiments with the Bose-Einstein Condensate. From the very beginning, the Quantum Music project was based on the idea of converting the acoustic ...
Novković Dragan, Peljević Marko, Malinović Mateja   +2 more
doaj   +1 more source

Neuroinflammation in GAD65 Antibody‐Associated Epilepsy Measured Using [18F]DPA‐714 PET/MRI

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The timing for initiating immunotherapy in patients with glutamic acid decarboxylase 65 (GAD65) antibody‐associated epilepsy is a challenge. We used the translocator protein radioligand [18F]DPA‐714 and PET to evaluate brain microglial activation.
Jingjing Chen, Yuying Zhang, Heyu Zhang, Jinming Zhang, Ningning Wang, Xintong Guo, Yicong Liu, Yue Liu, Xiangsong Zhang, Ziyi Chen, Guanzhong Ni   +10 more
wiley   +1 more source

Unsupervised Class Generation to Expand Semantic Segmentation Datasets

Journal of Imaging
Semantic segmentation is a computer vision task where classification is performed at the pixel level. Due to this, the process of labeling images for semantic segmentation is time-consuming and expensive.
Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel   +3 more
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Reangle-A-Video: 4D Video Generation as Video-to-Video Translation

We introduce Reangle-A-Video, a unified framework for generating synchronized multi-view videos from a single input video. Unlike mainstream approaches that train multi-view video diffusion models on large-scale 4D datasets, our method reframes the multi-view video generation task as video-to-videos translation, leveraging publicly available image and ...
Jeong, Hyeonho, Lee, Suhyeon, Ye, Jong Chul   +2 more
openaire   +2 more sources