Results 21 to 30 of about 1,876 (209)
Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring
Remote Sensing, 2022 Over a billion people live in slums, with poor sanitation, education, property rights and working conditions having a direct impact on current residents and future generations. Slum mapping is one of the key problems concerning slums.
Thomas Fisher +9 more
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Things Worth Attention in Designing the Questions of College English Reading Classes [PDF]
SHS Web of Conferences, 2023 Reading teaching is an important part of college English teaching. Questions are commonly raised in daily teaching of English reading. Effective questions can help language teachers and students to improve the effect of teaching and learning English ...
Dong Shuchun
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Nature Communications, 2022 To accelerate biomedical research process, deep-learning systems are developed to automatically acquire knowledge about molecule entities by reading large-scale biomedical data.
Zheni Zeng +3 more
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Calibrating estimates of ionospheric long-term change [PDF]
Annales GeophysicaeLong-term reduction (∼20 km) in the height of the ionospheric F2 layer, hmF2, is predicted to result from increased levels of tropospheric greenhouse gases.
C. J. Scott +9 more
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A Simple Model of Reading Eye Movement Based on Deep Learning
IEEE Access, 2020 At present, an increasing amount of research is being conducted on human cognitive behaviour, and reading eye-movement modelling is a research hotspot in cognitive linguistics.
Ying Wang, Xiaoming Wang, Yaowu Wu
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Promoting "Deep Reading" with "Holistic Reading": A Theoretical Exploration of the Potential Promotion Path for Adolescent Reading in the AI Era [PDF]
Nongye tushu qingbao xuebao[Purpose/Significance] The social application of technologies, such as generative artificial intelligence (AI), presents challenges for adolescents when it comes to deep reading. In response, China has promoted the Youth Reading Initiative and issued the
LI Guihua
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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
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The pleasures of deep reading [PDF]
BMJ, 2003 The competitors of the BMJ include Hollywood films, Manchester United, and a walk in the park. We live in the “attention economy” and compete desperately for a few moments of your time. There are so many other things to do apart from read the BMJ . Consequently many readers spend only a few minutes on the journal, flicking from Minerva to the news and ...
openaire +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
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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 +3 more sources