Improving Data Entry Quality in Enterprise Applications With NLP Methods A Model...
Intrusion Detection Using Hybrid Pearson Correlation and GS PSO Optimized Random...
Machine Learning Based Real Time, High Fidelity Neutron Source Identification vi...
Real Time Image Processing Applications in Automatic BGA Inspection System
LightEnsemble Guard An Optimized Ensemble Learning Framework for Securing Resour...
Leveraging an Enhanced CodeBERT Based Model for Multiclass Software Defect Predi...
ABA IDS Attention Based Autoencoder for Intrusion Detection in Assistive Mobilit...
EdgeSecureDP Strengthening IoHTs Differential Privacy Through Graphvariate Skellam
SynC2S An Efficient Method for Synthesizing Tabular Data With a Learnable Pre Pr...
Federated Explainable AI Based Alzheimer s Disease Prediction With Multimodal Data
Calibration of Electron Microscopes Through Deep Learning and Bayesian Optimization
Comparative Analysis of the Proportional Distribution Method and the Random Fore...
Managing Timing Uncertainties in Worst Case Design of Machine Learning Applications
Integration of Deep Learning Architectures With GRU for Automated Leukemia Detec...
Design and Evaluation of ADANet A High Fidelity Motion Acquisition Framework for...
EffNet SVM A Hybrid Model for Diabetic Retinopathy Classification Using Retinal ...
