Following are the list of of topics on which we can provide you the dissertation. Kindly choose your preference and inform us accordingly.
A Regression Approach to Speech Enhancement Based on Deep Neural Networks
A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems
An AdaBoost-Based Face Detection System Using Parallel Configurable Architecture With Optimized
Computation
An Enhanced Fuzzy Min–Max Neural Network for Pattern Classification
Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification
Content-Based Image Retrieval Using Error Diffusion Block Truncation Coding Features
EMR A Scalable Graph-based Ranking Model for Content-based Image Retrieval
Ensemble of Adaptive Rule-Based Granular Neural Network Classifiers for Multispectral Remote Sensing
Images
Exemplar-Based Inpainting Technical Review and New Heuristics for Better Geometric Reconstructions
Face Spoof Detection With Image Distortion Analysis
Learning Understandable Neural Networks With Nonnegative Weight Constraints
Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT
Multitask Learning of Deep Neural Networks for Low-Resource Speech Recognition
Multi-task Pose-Invariant Face Recognition
Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems
Neural Network-Based Model Predictive Control: Fault Tolerance and Stability
Query Specific Rank Fusion for Image Retrieval
Real-World and Rapid Face Recognition Toward Pose and Expression Variations via Feature Library Matrix
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition
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