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  1. Generative adversarial network based data augmentation and quantum based convolution neural network for the classification of Indian classical dance forms
  2. Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation
  3. An effectual classical dance pose estimation and classification system employing Convolution Neural Network –Long ShortTerm Memory (CNN-LSTM) network for video sequences
  4. Indian Classical Dance Forms Classification Using Transfer Learning
  5. A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances
  6. Assessment of 3-Dimensional Hand Pose by PosePrior Network for Images
  7. A Monadic Framework for Real-time 2D Multi Person Pose Detection for captured Images and Videos