Listar por tema "measurement"
Mostrando ítems 1-8 de 8
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3D Puzzle Mobile Game Powered by Gyroscope And/Or Accelerometer
Universitat Jaume I (2017-07-11)This document presents the technical report for a Final Degree Project related to the Degree in Design and Development of Video Games. The project to develop consists on a three-dimensional videogame for android devices ... -
A novel method to measure the energy efficiency and performance of an auto-cascade refrigeration cycle
Elsevier (2023-10)Auto-cascade refrigeration systems are the most used cycles to maintain spaces at ultra-low temperature conditions (-80 to −60 °C). The interest in these systems has risen due to the need to maintain and distribute COVID-19 ... -
Deep Hashing Based on Class-Discriminated Neighborhood Embedding
Institute of Electrical and Electronics Engineers (2020-09-30)Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ... -
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
IEEE (2020-07-14)Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data (together with the high complexity of the RS image domain) ... -
Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise
IEEE (2021-02-02)Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. ... -
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
Institute of Electrical and Electronics Engineers (2020-12-16)Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ... -
Rotation-Invariant Deep Embedding for Remote Sensing Images
Institute of Electrical and Electronics Engineers (2021-06-28)Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ... -
Use of technology for measurement based care in psychotherapy: A systematic review
Universitat Jaume I (2020-02)Psychotherapy has proven to be effective. However, not all patients respond to the treatment as expected. Some methodological deficits exist during the monitoring process and these might influence current treatment ...