Steven Lawrence Fernandes

According to our database1, Steven Lawrence Fernandes authored at least 16 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An Overview of Biometrics Methods.
Proceedings of the Handbook of Multimedia Information Security: Techniques and Applications., 2019

Matching images captured from unmanned aerial vehicle.
Int. J. Systems Assurance Engineering and Management, 2018

A fuzzy neural network approach for automatic K-complex detection in sleep EEG signal.
Pattern Recognition Letters, 2018

Appearance based pedestrians' gender recognition by employing stacked auto encoders in deep learning.
Future Generation Comp. Syst., 2018

Recent advances in Big Data Analytics, Internet of Things and Machine Learning.
Future Generation Comp. Syst., 2018

A novel machine learning approach for scene text extraction.
Future Generation Comp. Syst., 2018

Big data analysis for brain tumor detection: Deep convolutional neural networks.
Future Generation Comp. Syst., 2018

Entropy based segmentation of tumor from brain MR images - a study with teaching learning based optimization.
Pattern Recognition Letters, 2017

Classification of focal and non focal EEG using entropies.
Pattern Recognition Letters, 2017

Thermal-aware power-efficient deadline based task allocation in multi-core processor.
J. Comput. Science, 2017

Rough set based effective technique of image watermarking.
J. Comput. Science, 2017

Extraction of emotions from multilingual text using intelligent text processing and computational linguistics.
J. Comput. Science, 2017

A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions.
J. Comput. Science, 2017

Editorial: Frontiers in development of intelligent applications for medical imaging processing and computer vision.
Comp. in Bio. and Med., 2017

Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques.
J. Integrated Design & Process Science, 2016

A Novel Representation for Classification of User Sentiments.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016