85 results
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2. Image splicing forgery detection: A review
3. Multiscale fire image detection method based on CNN and Transformer
4. A novel method for glioma segmentation and classification on pre-operative MRI scans using 3D U-Nets and transfer learning
5. MAuD: a multivariate audio database of samples collected from benchmark conferencing platforms
6. Retinal image analysis for detection of diabetic retinopathy- a simplified approach
7. AdaptiveGait: adaptive feature fusion network for gait recognition
8. CNN-Transformer based emotion classification from facial expressions and body gestures
9. Cultivating road safety: A comprehensive examination of intelligent ensemble-based road crack detection
10. An optimized handwritten polynomial equations solver using an enhanced inception V4 model
11. EEG-based multimodal emotion recognition with optimal trained hybrid classifier
12. EASM: An efficient AttnSleep model for sleep Apnea detection from EEG signals
13. CPSNet: a cyclic pyramid-based small lesion detection network
14. An Attribute-wise Attention model with BiLSTM for an efficient Fake News Detection
15. Efficient fused convolution neural network (EFCNN) for feature level fusion of medical images
16. Enhancing stock market prediction using three-phase classifier and EM-EPO optimization with news feeds and historical data
17. Impact of the data augmentation on the detection of brain tumor from MRI images based on CNN and pretrained models
18. Multistage traffic sign recognition under harsh environment
19. Utilization of relative context for text non-text region classification in offline documents using multi-scale dilated convolutional neural network
20. Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’ systematic literature review
21. Real-time detection of abnormal human activity using deep learning and temporal attention mechanism in video surveillance
22. An efficient model for detecting real-time facemask based on different Classification Algorithms
23. Raspberry Pi-based robust speech command recognition for normal and hearing-impaired (HI)
24. Modified transfer learning frameworks to identify potato leaf diseases
25. A text independent speaker identification system using ANN, RNN, and CNN classification technique
26. Transfer and supplement AdaBoost for extracting region proposals of CNN in transfer-learning application
27. Development of a Model for Detection and Grading of Stem Rust in Wheat Using Deep Learning
28. Multimodal image fusion on ECG signals for congestive heart failure classification
29. Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets
30. Review of dehazing techniques: challenges and future trends
31. A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques
32. Impact of feature cross in hybrid optimization based convolutional neural networks for train delay prediction
33. Video captioning – a survey
34. Small size CNN (CAS-CNN), and modified MobileNetV2 (CAS-MODMOBNET) to identify cashew nut and fruit diseases
35. Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management
36. An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images
37. Ethio-Semitic language identification using convolutional neural networks with data augmentation
38. Merged CNNs for the classification of EEG motor imagery signals
39. Wheat crop classification using deep learning
40. SpFusionNet: deep learning-driven brain image fusion with spatial frequency analysis
41. Advancing brain tumor classification accuracy through deep learning: harnessing radimagenet pre-trained convolutional neural networks, ensemble learning, and machine learning classifiers on MRI brain images
42. CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile
43. SRC2: a novel deep learning based technique for identifying COVID-19 using images of chest x-ray
44. FDLM: An enhanced feature based deep learning model for skin lesion detection
45. Combined CNN LSTM with attention for speech emotion recognition based on feature-level fusion
46. COVID-19 Detection using adopted convolutional neural networks and high-performance computing
47. Ensemble deep learning model for optical character recognition
48. A systematic literature survey on skin disease detection and classification using machine learning and deep learning
49. Challenges of deep learning diagnosis for COVID-19 from chest imaging
50. A convolution deep architecture for gender classification of urdu handwritten characters
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