Results 51 to 60 of about 4,826,896 (294)
Investigative Radiology, 2021 Objective The aim of this study was to evaluate the effect of a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans ...
D. Winkel +15 more
semanticscholar +1 more source
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines [PDF]
IEEE International Joint Conference on Neural Network, 2020 Smart meters enable remote and automatic electricity, water and gas consumption reading and are being widely deployed in developed countries. Nonetheless, there is still a huge number of non-smart meters in operation. Image-based Automatic Meter Reading (
Gabriel Salomon +2 more
semanticscholar +1 more source
Efficient DNN Model for Word Lip-Reading
Algorithms, 2023 This paper studies various deep learning models for word-level lip-reading technology, one of the tasks in the supervised learning of video classification. Several public datasets have been published in the lip-reading research field.
Taiki Arakane, Takeshi Saitoh
doaj +1 more source
HLR-Net: A Hybrid Lip-Reading Model Based on Deep Convolutional Neural Networks
Computers Materials & Continua, 2021 Lip reading is typically regarded as visually interpreting the speaker’s lip movements during the speaking. This is a task of decoding the text from the speaker’s mouth movement.
Amany M. Sarhan +2 more
semanticscholar +1 more source
Constructed model for micro-content recognition in lip reading based deep learning
Bulletin of Electrical Engineering and Informatics, 2021 Communication between human beings has several ways, one of the most known and used is speech, both visual and acoustic perceptions sensory are involved, because of that, the speech is considered as a multi-sensory process.
N. H. Ali, M. E. Abdulmunem, A. Ali
semanticscholar +1 more source
A Machine Learning Approach to Predicting the Climate Impact of North Atlantic Flights
Engineering ProceedingsAviation emissions significantly contribute to climate change, with both CO2 and non-CO2 effects, such as contrails and nitrogen oxides. The aim of this paper was to develop a machine learning-based model to predict the climate impact of flights using ...
Carlo Abate +3 more
doaj +1 more source
Educational Philosophy and TheoryThis article focuses on a method of moral self-cultivation advocated by the Chinese Neo-Confucian Zhu Xi: deep reading. To Zhu Xi, reading is not only an intellectual activity of learning knowledge, but also a spiritual exercise.
Baldwin Wong
semanticscholar +1 more source
SF6 Pointer Pressure Meter Reading Method Based on Fusion Attention Feature UNet
IEEE Access, 2023 Aiming at the problem of decreasing the accuracy of meter reading caused by manual reading, an SF6 pointer-type pressure meter reading method based on the fusion attention feature UNet is proposed to improve the accuracy of pointer-type pressure meter ...
Hao Wu +4 more
doaj +1 more source
Deep Learning for Prominence Detection In Children’s Read Speech
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 The detection of perceived prominence in speech has attracted approaches ranging from the design of linguistic knowledge-based acoustic features to the automatic feature learning from suprasegmental attributes such as pitch and intensity contours. We present here, in contrast, a system that operates directly on segmented speech waveforms to learn ...
Mithilesh Vaidya +2 more
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source