AY
ARUN KUMAR YADAV
Research areas: Computer Science · Artificial Intelligence · Topic Modeling · Algorithms and Data Compression · Sentiment Analysis and Opinion Mining
0000-0001-9774-7917
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Publications (59)
- A Hybrid Word and Sentence Alignment Approach for Unsupervised Multilingual Machine Translation Using Pre-Trained Cross-Lingual Encoder Save
- Improved multi-class brain tumor mri classification with ds-net: a patch-based deep supervision approach Save
- 3D AIR-UNet: attention–inception–residual-based U-Net for brain tumor segmentation from multimodal MRI Save
- A Hybrid Model Integrating LDA, BERT, and Clustering for Enhanced Topic Modeling Save
- Assessing U-Net Architectures for Effective Brain Tumor Segmentation in MRI Save
- Brain tumor segmentation with deep learning: Current approaches and future perspectives Save
- Character-Level Encoding based Neural Machine Translation for Hindi language Save
- FusionNet: Dual input feature fusion network with ensemble based filter feature selection for enhanced brain tumor classification Save
- Optimized U-Net Architecture with Enhanced Chimp Optimization Algorithm for Brain Tumor Segmentation Save
- Speech signal’s phase information based Alzheimer’s disease detection using deep learning Save
- Automatic Indian sign language recognition using MediaPipe holistic and LSTM network Save
- Retinal blood vessel segmentation using a deep learning method based on modified U-NET model Save
- Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective Save
- Sentiment classification in Hindi text using hybrid deep learning method Save
- Automatic image caption generation using deep learning Save
- Challenges and Issues in Legal Documents Classification Save
- Extractive Text Summarization Using Statistical Approach Save
- FERNET: An Integrated Hybrid DCNN Model for Driver Stress Monitoring via Facial Expressions Save
- Hate speech recognition in multilingual text: hinglish documents Save
- Human Activity Recognition in Videos Using Deep Learning Save