Combining the advantages of radiomic features based feature extraction and hyper parameters tuned RERNN using LOA for breast cancer classification
This paper proposes Combining the Advantages of Radiomic features based Feature
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …
A Perspective Analysis of Regularization and Optimization Techniques in Machine Learning
AK Jain, PP Rao, KV Sharma - Computational Analysis and …, 2021 - Wiley Online Library
In the present days of big data analytics, the magnitude of data generated is escalating at an
exponential rate and requires high‐end machines with many‐core CPUs (GPUs) to handle …
exponential rate and requires high‐end machines with many‐core CPUs (GPUs) to handle …
Deep Learning‐Based Prediction Techniques for Medical Care: Opportunities and Challenges
S Subasree, NK Sakthivel - Computational Analysis and Deep …, 2021 - Wiley Online Library
In this chapter, we will discuss various opportunities and challenges and suggest a few
intelligent architectures for better Diseases Pattern Predictions including Cancer Pattern …
intelligent architectures for better Diseases Pattern Predictions including Cancer Pattern …
[引用][C] Smart multi-objective particle swarm optimizer for cancer patterns classification and prediction
S Subasree, NP Gopalan, NK Sakthivel - Int. J. Eng. Res. Technol, 2018