| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Hayley Weir, Keiran Thompson, Amelia Woodward, Benjamin Choi, Augustin Braun, Todd J Martíne. ChemPix: automated recognition of hand-drawn hydrocarbon structures using deep learning. Chemical science. vol 12. issue 31. 2021-08-28. PMID:34447555. |
a neural image captioning approach consisting of a convolutional neural network (cnn) encoder and a long short-term memory (lstm) decoder learned a mapping from photographs of hand-drawn hydrocarbon structures to machine-readable smiles representations. |
2021-08-28 |
2023-08-13 |
Not clear |
| Muhammad Zulqarnain, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Muhammad Ghulam Ghouse, Wareesa Sharif, Noor Aida Husain. A comparative analysis on question classification task based on deep learning approaches. PeerJ. Computer science. vol 7. 2021-08-27. PMID:34435091. |
in addition to this, we used three main deep learning approaches (gated recurrent unit (gru), long short-term memory (lstm), convolutional neural networks (cnn)) and we also applied two different deep learning combinations of cnn-gru and cnn-lstm architectures. |
2021-08-27 |
2023-08-13 |
Not clear |
| Ivine Kuruvila, Jan Muncke, Eghart Fischer, Ulrich Hopp. Extracting the Auditory Attention in a Dual-Speaker Scenario From EEG Using a Joint CNN-LSTM Model. Frontiers in physiology. vol 12. 2021-08-20. PMID:34408661. |
here, we present a joint convolutional neural network (cnn)-long short-term memory (lstm) model to infer the auditory attention. |
2021-08-20 |
2023-08-13 |
human |
| Kuldeep Singh, Sukhjeet Singh, Jyoteesh Malhotr. Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. vol 235. issue 2. 2021-08-18. PMID:33124526. |
these features are independently fed to the proposed spectral features-based cnn and long short-term memory network (lstm) models for classification. |
2021-08-18 |
2023-08-13 |
Not clear |
| Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel van Putten, Christin Seifer. STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. Artificial intelligence in medicine. vol 114. 2021-08-18. PMID:33875157. |
our architecture, called stqs, uses convolutional neural networks (cnn) to automatically extract spatio-temporal features from 3 modalities (eeg, eog and emg), a bidirectional long short-term memory (bi-lstm) to extract sequential information, and residual connections to combine spatio-temporal and sequential features. |
2021-08-18 |
2023-08-13 |
Not clear |
| B Hu, S Li, Y Chen, R Kavi, S Coppol. Applying deep neural networks and inertial measurement unit in recognizing irregular walking differences in the real world. Applied ergonomics. vol 96. 2021-08-18. PMID:34087702. |
three variations of deep learning models were trained to solve this walking surface recognition problem: 1) convolution neural network (cnn); 2) long short term memory (lstm) network and 3) lstm structure with an extra global pooling layer (global-lstm) which learns the coordination between different data streams (e.g. |
2021-08-18 |
2023-08-13 |
Not clear |
| Shyam Madhusudhana, Yu Shiu, Holger Klinck, Erica Fleishman, Xiaobai Liu, Eva-Marie Nosal, Tyler Helble, Danielle Cholewiak, Douglas Gillespie, Ana Širović, Marie A Roc. Improve automatic detection of animal call sequences with temporal context. Journal of the Royal Society, Interface. vol 18. issue 180. 2021-08-10. PMID:34283944. |
the combined system of independently trained cnn and long short-term memory (lstm) network models exploits the temporal patterns between song notes. |
2021-08-10 |
2023-08-13 |
Not clear |
| Fatin Nadiah Yussof, Normah Maan, Mohd Nadzri Md Reb. LSTM Networks to Improve the Prediction of Harmful Algal Blooms in the West Coast of Sabah. International journal of environmental research and public health. vol 18. issue 14. 2021-08-04. PMID:34300100. |
this work aimed to perform the long short-term memory (lstm) method and convolution neural network (cnn) method to predict the hab events in the west coast of sabah. |
2021-08-04 |
2023-08-13 |
human |
| N Satyanarayana Murthy, B Arunadev. An effective technique for diabetic retinopathy using hybrid machine learning technique. Statistical methods in medical research. vol 30. issue 4. 2021-08-02. PMID:33499772. |
in the classification step, those segmented images are given as input to hybrid techniques such as a convolution neural network with bidirectional-long short-term memory (cnn with bi-lstm). |
2021-08-02 |
2023-08-13 |
Not clear |
| Minsoo Cho, Jihwan Ha, Chihyun Park, Sanghyun Par. Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition. Journal of biomedical informatics. vol 103. 2021-07-28. PMID:32004641. |
the proposed model is based on bidirectional long short-term memory (bi-lstm) with conditional random field (crf) and enhanced by integrating two different character-level representations extracted from a convolutional neural network (cnn) and bi-lstm. |
2021-07-28 |
2023-08-13 |
Not clear |
| Cristóbal Colón-Ruiz, Isabel Segura-Bedma. Comparing deep learning architectures for sentiment analysis on drug reviews. Journal of biomedical informatics. vol 110. 2021-07-28. PMID:32818665. |
we present a benchmark comparison of various deep learning architectures such as convolutional neural networks (cnn) and long short-term memory (lstm) recurrent neural networks. |
2021-07-28 |
2023-08-13 |
Not clear |
| Zhibo Wan, Youqiang Dong, Zengchen Yu, Haibin Lv, Zhihan L. Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion. Frontiers in neuroscience. vol 15. 2021-07-27. PMID:34305523. |
some state-of-art models are included for performance comparison: long short-term memory (lstm), convolutional neural network (cnn), recurrent neural network (rnn), alexnet, and multi-layer perceptron (mlp). |
2021-07-27 |
2023-08-13 |
Not clear |
| Shujing Zhan. Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM. Computational intelligence and neuroscience. vol 2021. 2021-07-27. PMID:34306049. |
in order to further improve the text language processing effect, a convolutional neural network model, hybrid convolutional neural network (cnn), and long short-term memory (lstm) based on the fusion of text features and language knowledge are proposed. |
2021-07-27 |
2023-08-13 |
Not clear |
| Hiroki Mori, Kei Inai, Hisashi Sugiyama, Yoshihiro Muragak. Diagnosing Atrial Septal Defect from Electrocardiogram with Deep Learning. Pediatric cardiology. vol 42. issue 6. 2021-07-26. PMID:33907875. |
we demonstrate improved diagnostic accuracy realized by incorporating a proposed deep learning model, comprising a convolutional neural network (cnn) and long short-term memory (lstm), with electrocardiograms. |
2021-07-26 |
2023-08-13 |
human |
| Marion Mundt, William R Johnson, Wolfgang Potthast, Bernd Markert, Ajmal Mian, Jacqueline Alderso. A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units. Sensors (Basel, Switzerland). vol 21. issue 13. 2021-07-22. PMID:34283080. |
this paper compares the performance of three commonly employed anns used to predict gait kinematics and kinetics: multilayer perceptron (mlp); long short-term memory (lstm); and convolutional neural networks (cnn). |
2021-07-22 |
2023-08-13 |
Not clear |
| Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Li-Chin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Ling Tsai, Yi-Lin Wu, Tzu-Ling Tseng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei La. Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1. PloS one. vol 16. issue 7. 2021-07-14. PMID:34197556. |
we conducted benchmark tests using long short-term memory (lstm), gated recurrent unit (gru), bidirectional lstm (bilstm), bidirectional gru (bigru), convolutional neural network (cnn)-lstm, cnn-gru, cnn-bilstm, and cnn-bigru models for breath phase detection and adventitious sound detection. |
2021-07-14 |
2023-08-13 |
Not clear |
| Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, Mohamad Mazen Hittawe, Ying Su. Comparative study of machine learning methods for COVID-19 transmission forecasting. Journal of biomedical informatics. vol 118. 2021-07-12. PMID:33915272. |
we investigated the performances of deep learning methods, including the hybrid convolutional neural networks-long short-term memory (lstm-cnn), the hybrid gated recurrent unit-convolutional neural networks (gan-gru), gan, cnn, lstm, and restricted boltzmann machine (rbm), as well as baseline machine learning methods, namely logistic regression (lr) and support vector regression (svr). |
2021-07-12 |
2023-08-13 |
Not clear |
| Sungjae Ha, Dongwoo Lee, Hoijun Kim, Soonchul Kwon, EungJo Kim, Junho Yang, Seunghyun Le. Neural Network for Metal Detection Based on Magnetic Impedance Sensor. Sensors (Basel, Switzerland). vol 21. issue 13. 2021-07-06. PMID:34209945. |
the network was detected using long short-term memory and cnn. |
2021-07-06 |
2023-08-13 |
Not clear |
| Akon O Ekpezu, Isaac Wiafe, Ferdinand Katsriku, Winfred Yaokuma. Using deep learning for acoustic event classification: The case of natural disasters. The Journal of the Acoustical Society of America. vol 149. issue 4. 2021-07-05. PMID:33940915. |
deep learning techniques, a convolutional neural network (cnn) and long short-term memory (lstm), were used to train two individual classifiers. |
2021-07-05 |
2023-08-13 |
Not clear |
| Mingu Kang, Siho Shin, Jaehyo Jung, Youn Tae Ki. Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals. Journal of healthcare engineering. vol 2021. 2021-07-02. PMID:34194687. |
in this study, we propose an ensemble algorithm that can accurately determine mental stress states using a modified convolutional neural network (cnn)- long short-term memory (lstm) architecture. |
2021-07-02 |
2023-08-13 |
Not clear |