[PDF][PDF] Progress in research on VOC molecule recognition by semiconductor sensors
H Liu, G Meng, Z Deng, M Li, J Chang, T Dai… - Acta Phys.-Chim …, 2020 - scholar.archive.org
… Finally, the deep learning algorithm of convolutional neural … performance of data dimension
reduction, feature extraction, … of deep learning algorithms in the artificial intelligence (AI) field, …
reduction, feature extraction, … of deep learning algorithms in the artificial intelligence (AI) field, …
[PDF][PDF] Radar signal sorting and recognition based on transferred deep learning
G Wang, S Chen, J Huang, D Huang - Computer Science and …, 2019 - pdf.hanspub.org
… ratio (SNR), difficulty in extracting feature parameters and complexity of classifier model …
based on time-frequency analysis, deep learning and transfer learning fusion model is proposed…
based on time-frequency analysis, deep learning and transfer learning fusion model is proposed…
[PDF][PDF] Categorising Vaccine Confidence with Transformer-Based Machine Learning Model: The Nuances of Vaccine Sentiment on Twitter
… for handling huge amounts of information. However, the accuracy, … Sentiment analysis in
machine learning refers to automatically determining whether the author of a piece of text is …
machine learning refers to automatically determining whether the author of a piece of text is …
[PDF][PDF] Spatial potential of recreational services in western Hubei region in light of the “all-for-one tourism” development—a machine learning approach based on …
… through spatial data analysis… machine learning modeling, using certified recreational sites
for occurrence observations and multisourced social-ecological data as environmental features…
for occurrence observations and multisourced social-ecological data as environmental features…
[PDF][PDF] A survey of opinion mining for texts
TF Yao, XW Cheng, FY Xu, H Uszkoreit… - … of Chinese information …, 2008 - researchgate.net
… subtasks: topic extraction, holder identification, claim extraction and sentiment analysis,
followed by an overview of several existing systems. In addition, specific analysis on Chinese …
followed by an overview of several existing systems. In addition, specific analysis on Chinese …
[PDF][PDF] Comparison and Applicability Study of Analysis Methods for Social Media Text Data: Taking Perception of Urban Parks in Beijing as an Example
… to compare social media text data analysis methods and assess their … is a machine
learning-based model, mainly used for topic … review data and reviewer information from April 2006 …
learning-based model, mainly used for topic … review data and reviewer information from April 2006 …
[PDF][PDF] A classification method for hyperspectral imagery based on deep learning
L Yuan, S Hu, A Zhang, S Chai, X Wang - Artif. Intell. Robot. Res, 2017 - pdf.hanspub.org
… the full use of spectral information and spatial information in … Deep learning stack machine
model in automatic encoding (… SAE) can effectively extract data in nonlinear information, and …
model in automatic encoding (… SAE) can effectively extract data in nonlinear information, and …
[PDF][PDF] Review of automatic sleep staging
F Xu, S Wang, X Qian, H Hu, Q He, H Lin, J Shuai - Biophysics, 2019 - pdf.hanspub.org
… are based on statistical rules and deep learning technology respectively. In the … , feature
extraction and classifier selection, are introduced. In the staging method based on deep learning…
extraction and classifier selection, are introduced. In the staging method based on deep learning…