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Browsing by Subject RNN
Showing results 1 to 16 of 16
| Preview | Issue Date | Title | Author(s) |
| 2024-05 | APPLICABILITY OF SEQUENTIAL MODELS IN SOFTWARE DEFECT PREDICTION | YADAV, ABHISHEK |
| 2024-05 | APPLICATIONS OF END TO END AUTOMATIC SPEECH RECOGNITION | KUMAR, RUPESH |
| 2023-05 | ATTENTION BASED IMAGE CAPTION GENERATION | GUPTA, AYUSH KUMAR |
| 2024-05 | COMPREHENSIVE DOCUMENT INFORMATION RETRIEVAL USING DEEP LEARNING | ARYA, APARNA |
| 2024-05 | DEEP TEXT CLASSIFICATION AND RETRIEVAL FOR TEXT DOCUMENTS USING DEEP LEARNING TECHNIQES | KANSAL, VAIBHAV |
| 2023-05 | DEEPFAKE VIDEO DETECTION: A MULTI-MODEL APPROACH USING CNN, RNN & LSTM | PODDAR, RAUNAK |
| 2019-06 | EVOLUTION OF AUTOMATIC VISUAL DESCRIPTION TECHNIQUES - A SURVEY | BHOWMIK, ARKA |
| 2024-05 | HATE SPEECH DETECTION FROM SOCIAL MEDIA USING WORD EMBEDDINGS AND GRAPH NEURAL NETWORKS | SHARMA, ANURAG |
| 2019-10 | IMAGE DESCRIPTIVE SUMMARIZATION BY DEEP LEARNING AND ADVANCED LSTM MODEL ARCHITECTURE | AGGARWAL, TUSHAR |
| 2022-05 | IMAGE PARAGRAPH GENERATION USING DEEP LEARNING | TIWARI, AVANISH |
| 2020-09 | OFFENSIVE LANGUAGE DETECTION USING DEEP LEARNING | SHARMA, GAURAV |
| 2024-05 | PREDICTIVE MODELING IN CRYPTOCURRENCY: A CASE STUDY OF BITCOIN USING RNN | GUPTA, SHASHI PRAKASH |
| 2024-05 | ROAD CRACK DETECTION AND SEGMENTATION USING TWO-PHASE CONVOLUTIONAL NEURAL NETWORK | GUPTA, JAYA |
| 2020-08 | SLEEP CLASSIFICATION USING CNN AND RNN ON RAW EEG SINGLE-CHANNEL | MISHRA, SATYAM |
| 2021-06 | STOCK PREDICTION AND FORECASTING USING STACKED LSTM- RECURRENT NEUTRAL NETWORK MODEL | SHARMA, URMITA |
| 2023-06 | ULTRASOUND IMAGING OF FETUS USING DEEP LEARNING | GAUTAM, LAVENDRA |
