S. Iwin Thanakumar Joseph

Orcid: 0000-0002-0452-4608

Affiliations:
  • Koneru Lakshmaiah Education Foundation, Vaddeswarm, India


According to our database1, S. Iwin Thanakumar Joseph authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GAN with Gene Expression Data.
Int. J. Pattern Recognit. Artif. Intell., November, 2023

Model transformation and code generation using a secure business process model.
J. Intell. Fuzzy Syst., October, 2023

Exploration of diverse intelligent approaches in speech recognition systems.
Int. J. Speech Technol., March, 2023

Parkinson's disease detection using sea lion shuffled shepherd optimization assisted deep maxout network.
Concurr. Comput. Pract. Exp., February, 2023

2022
Classification model for heart disease prediction with feature selection through modified bee algorithm.
Soft Comput., 2022

Futuristic IoT based Smart Precision Agriculture: Brief Analysis.
J. Mobile Multimedia, 2022

Analytical review on secure communication protocols for 5G and IoT networks.
Int. J. Ad Hoc Ubiquitous Comput., 2022

Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine classifier for early diagnosis.
Concurr. Comput. Pract. Exp., 2022

Jaya-tunicate swarm algorithm based generative adversarial network for COVID-19 prediction with chest computed tomography images.
Concurr. Comput. Pract. Exp., 2022

BPM supported model generation by contemplating key elements of information security.
Autom. Softw. Eng., 2022

2021
Hybrid spatio-frequency domain global thresholding filter (HSFGTF) model for SAR image enhancement.
Pattern Recognit. Lett., 2021

IoT-enabled traffic sign recognition for safe driving.
Int. J. Comput. Aided Eng. Technol., 2021

2019
A novel vessel detection and classification algorithm using a deep learning neural network model with morphological processing (M-DLNN).
Soft Comput., 2019

Optimized vessel detection in marine environment using hybrid adaptive cuckoo search algorithm.
Comput. Electr. Eng., 2019


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