228 related articles for article (PubMed ID: 37765771)
1. CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM.
Gao G; Wang C; Wang J; Lv Y; Li Q; Ma Y; Zhang X; Li Z; Chen G
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765771
[TBL] [Abstract][Full Text] [Related]
2. Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model.
Lilhore UK; Dalal S; Varshney N; Sharma YK; Rao KBVB; Rao VVRM; Alroobaea R; Simaiya S; Margala M; Chakrabarti P
Sci Rep; 2024 Feb; 14(1):4533. PubMed ID: 38402249
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based method for sentiment analysis for patients' drug reviews.
Al-Hadhrami S; Vinko T; Al-Hadhrami T; Saeed F; Qasem SN
PeerJ Comput Sci; 2024; 10():e1976. PubMed ID: 38699208
[TBL] [Abstract][Full Text] [Related]
4. Predictive Analysis of Linoleic Acid in Red Meat Employing Advanced Ensemble Models of Bayesian and CNN-Bi-LSTM Decision Layer Fusion Based Hyperspectral Imaging.
Yan X; Liu S; Wang S; Cui J; Wang Y; Lv Y; Li H; Feng Y; Luo R; Zhang Z; Zhang L
Foods; 2024 Jan; 13(3):. PubMed ID: 38338559
[TBL] [Abstract][Full Text] [Related]
5. ABCNet: A comprehensive highway visibility prediction model based on attention, Bi-LSTM and CNN.
Li W; Yang X; Yuan G; Xu D
Math Biosci Eng; 2024 Feb; 21(3):4397-4420. PubMed ID: 38549333
[TBL] [Abstract][Full Text] [Related]
6. A CNN-LSTM model for six human ankle movements classification on different loads.
Li M; Wang J; Yang S; Xie J; Xu G; Luo S
Front Hum Neurosci; 2023; 17():1101938. PubMed ID: 36968785
[TBL] [Abstract][Full Text] [Related]
7. An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.
Ullah W; Ullah A; Hussain T; Khan ZA; Baik SW
Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33923712
[TBL] [Abstract][Full Text] [Related]
8. An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection.
Toma TI; Choi S
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430865
[TBL] [Abstract][Full Text] [Related]
9. HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning.
Lilhore UK; Manoharan P; Simaiya S; Alroobaea R; Alsafyani M; Baqasah AM; Dalal S; Sharma A; Raahemifar K
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765912
[TBL] [Abstract][Full Text] [Related]
10. An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.
Reddy YRM; Muralidhar P; Srinivas M
Brain Topogr; 2024 Jan; 37(1):1-18. PubMed ID: 37995000
[TBL] [Abstract][Full Text] [Related]
11. An improved Bi-LSTM method based on heterogeneous features fusion and attention mechanism for ECG recognition.
Song C; Zhou Z; Yu Y; Shi M; Zhang J
Comput Biol Med; 2024 Feb; 169():107903. PubMed ID: 38171263
[TBL] [Abstract][Full Text] [Related]
12. Novel Deep Learning Network for Gait Recognition Using Multimodal Inertial Sensors.
Shi LF; Liu ZY; Zhou KJ; Shi Y; Jing X
Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679646
[TBL] [Abstract][Full Text] [Related]
13. FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection.
Keya AJ; Shajeeb HH; Rahman MS; Mridha MF
PLoS One; 2023; 18(12):e0294701. PubMed ID: 38039283
[TBL] [Abstract][Full Text] [Related]
14. S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram.
Abgeena A; Garg S
Health Inf Sci Syst; 2023 Dec; 11(1):40. PubMed ID: 37654692
[TBL] [Abstract][Full Text] [Related]
15. Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios.
Tan A; Wang Y; Zhao Y; Wang B; Li X; Wang AX
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Dec; 283():121759. PubMed ID: 35985223
[TBL] [Abstract][Full Text] [Related]
16. An Investigation of Deep Learning Models for EEG-Based Emotion Recognition.
Zhang Y; Chen J; Tan JH; Chen Y; Chen Y; Li D; Yang L; Su J; Huang X; Che W
Front Neurosci; 2020; 14():622759. PubMed ID: 33424547
[TBL] [Abstract][Full Text] [Related]
17. Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods.
Hakansson F; Jensen DB
Front Vet Sci; 2022; 9():1099347. PubMed ID: 36713870
[TBL] [Abstract][Full Text] [Related]
18. Screening and functional prediction of differentially expressed genes in walnut endocarp during hardening period based on deep neural network under agricultural internet of things.
Guo Z; Yu S; Fu J; Ma K; Zhang R
PLoS One; 2022; 17(2):e0263755. PubMed ID: 35202404
[TBL] [Abstract][Full Text] [Related]
19. A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.
Madan P; Singh V; Singh DP; Diwakar M; Pant B; Kishor A
Bioengineering (Basel); 2022 Apr; 9(4):. PubMed ID: 35447712
[TBL] [Abstract][Full Text] [Related]
20. Vision-Based HAR in UAV Videos Using Histograms and Deep Learning Techniques.
Gundu S; Syed H
Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904773
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
