155 results on '"Bhattacharjee, Vandana"'
Search Results
2. Kannada Continuous Speech Recognition Using Deep Learning
3. Visually evoked brain signals guided image regeneration using GAN variants
4. PSO-Based Traffic Signals in a Real-World City
5. Travelling Guidance Using ACO and HBMO Techniques in COVID-19 Pandemics: A Novel Approach
6. Continuous Speech Recognition in Hindi for Health Care Using Deep Learning
7. DeepCOVNet Model for COVID-19 Detection Using Chest X-Ray Images
8. Enhanced Graph Representations for Graph Convolutional Network Models
9. A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification
10. PSO-Based Traffic Signals in a Real-World City
11. Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach
12. Cloud and Big Data Security System’s Review Principles: A Decisive Investigation
13. Time series-dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet
14. Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset
15. StockNet—GRU based stock index prediction
16. Increasing the Prediction Accuracy for Thyroid Disease: A Step Towards Better Health for Society
17. K-NN Classification of Very Large Dataset in Spark Framework
18. Opinion Mining of Restaurant Reviews and Comparison of Different Classifiers
19. Classification of Big Data Using Spark Framework
20. A Fuzzy Logic Approach for Software Cost Prediction
21. Convolutional Neural Network-Based Visually Evoked EEG Classification Model on MindBigData
22. An end-to-end deep learning based continuous speech recognition in Kannada.
23. Application of GANs for generation of handwritten digits and letters.
24. IoT-enhanced machine learning for precise crop disease detection and sustainable agriculture.
25. Graph convolutional neural networks for traffic forecasting and prediction: A review.
26. A graph convolutional network based framework for mental stress prediction
27. Contributors
28. IoT in Healthcare: A Big Data Perspective
29. Securing the Internet of Things: Current and Future State of the Art
30. A Takagi-Sugeno Based Fuzzy Inference System for Predicting Electrical Output in a Combined Cycle Power Plant
31. Outlier Detection in Wireless Sensor Networks Based on Neighbourhood
32. A New Neighborhood-Based Outlier Detection Technique
33. Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models
34. An efficient method for brain tumor detection and categorization using MRI images by K-means clustering & DWT
35. K-NN Classification of Very Large Dataset in Spark Framework
36. Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach.
37. Opinion Mining of Restaurant Reviews and Comparison of Different Classifiers
38. Classification of Big Data Using Spark Framework
39. A Fuzzy Logic Approach for Software Cost Prediction
40. A Takagi-Sugeno Based Fuzzy Inference System for Predicting Electrical Output in a Combined Cycle Power Plant
41. A machine learning approach to predict the rating of team using regression algorithms.
42. Evaluating the Performance of Machine Learning Models for Diabetes Prediction with Feature Selection and Missing Values Handling
43. A Deep Learning-Based Approach for Accurate Diagnosis of Alcohol Usage Severity Using EEG Signals.
44. SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification
45. Nature-Inspired Cloud–Crowd Computing for Intelligent Transportation System
46. A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification
47. Selection of Defuzzification Method for Predicting the Early Stage Software Development Effort Using Mamdani FIS
48. A cognitive and neural network approach for software defect prediction
49. Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data
50. Improved disease diagnosis system for COVID-19 with data refactoring and handling methods
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