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2. Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTM
3. Vision-Based Human Activity Recognition Using CNN and LSTM Architecture
4. A Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts
5. Singleton and Factory Design Patterns Detection Based on Features and Machine Learning
6. Fusion of LSTM and RNN for Abnormal Activity Detection from CCTV Camera Feeds
7. MediaPipe with LSTM Architecture for Real-Time Hand Gesture Recognization
8. Emotion Analysis of Weibo Based on Long Short-Term Memory Neural Network
9. LSTM, RNN and GAN Models Effectiveness for Flute Music Generation: A Thorough Expedition
10. DESI: Diversification of E-Commerce Recommendations Using Semantic Intelligence
11. Interference Mitigation in Multi-radar Environment Using LSTM-Based Recurrent Neural Network
12. Comparative Analysis of Machine Learning Models for Menu Recommendation System
13. GenEmo-Net: Generalizable Emotion Recognition Using Brain Functional Connections Based Neural Network
14. Distributed Denial of Service Attack Detection Using Sequence-To-Sequence LSTM
15. Remaining Useful Life prediction of Aircraft Engines Using DCNN-BiLSTM with K-means Feature Selection
16. Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model
17. Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Model
18. Comparison of CLOT-Adjusted AHI-8/9 and FY-4A Solar Irradiance Products for Solar PV Power Output Forecasting Using LSTM
19. Prediction of Next Events in Business Processes: A Deep Learning Approach
20. A Comparative Evaluation of Image Caption Synthesis Using Deep Neural Network
21. Exploration of Hybrid Neural Networks for Domain Name Generation
22. Crop Yield Prediction Using Machine Learning Approaches
23. A Comparative Analysis of Sentence Embedding Techniques and LSTM Models in Web Page Classification
24. Design and Development of Computational Methodologies for Agricultural Informatics
25. Smart Dam Control: Embedded Systems and LSTM-Based Water Level Prediction
26. Hate Speech Detection Using Audio in Portuguese Language
27. A Combined Model for INDEX Price Forecasting Using LSTM, RNN, and GRU
28. Ge’ez Syntax Error Detection Using Deep Learning Approaches
29. Impact of Covid-19 Pandemic on Demand and Demand Forecasting in a Furniture Wholesale Company
30. Stock Price Prediction Using Time Series
31. Enhancing Accuracy with Recursive Feature Selection Using Multiple Machine Learning and Deep Learning Techniques on NSL-KDD Dataset
32. A Deep Learning-Based Sentiment Classification Approach for Detecting Suicidal Ideation on Social Media Posts
33. Development of LSTM-Based Sentence Generation Model to Improve Recognition Performance of OCR System
34. Parts-of-Speech Tagger in Assamese Using LSTM and Bi-LSTM
35. Automatic Multiple Sounds Detection with Recurrent Neural Networks (LSTM)
36. Multi-sensor Data Fusion and Deep Machine Learning Models-Based Mental Stress Detection System
37. Pressure Pain Recognition for Lower Limb Exoskeleton Robot with Physiological Signals
38. Going Beyond Traditional Methods: Using LSTM Networks to Predict Rainfall in Kerala
39. A Deep Learning Framework for Assamese Toxic Comment Detection: Leveraging LSTM and BiLSTM Models with Attention Mechanism
40. Predicting Suicide Ideation from Social Media Text Using CNN-BiLSTM
41. OntoOpinionMiner: An Opinion Mining Algorithm for Drug Reviews
42. Lightweight Behavior-Based Malware Detection
43. VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks
44. PaBiL-Net: Parallel Bidirectional LSTM Network for Mobile Encrypted Traffic Classification
45. COVID-19 Seasonal Effect on Infection Cases and Forecasting Using Deep Learning
46. ELMOPP: an application of graph theory and machine learning to traffic light coordination
47. A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies
48. Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)
49. Comment on Martínez-Delgado et al. Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions. Sensors 2021, 21 , 5273.
50. DETECTION OF DEEP FAKES USING DEEP LEARNING.
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