Mr Angamuthu Thandavarayan

vidwan id: 564817

Male

Assistant Professor,
Takshashila College

0009-0006-1705-3434 Google Scholar Icon

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LFJ-7681-2024 Google Scholar Icon

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Publications

Total Articles 12

Books 0

Proceedings 0

Publications

Scopus

Citations 0

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Bio

Android Application Development Python Digital Logic Fundamental Object Oriented Programming MATLAB Programming Unix and Linux Multimedia Data Science DBMS Open Source Programming

Personal Details

Male
Assistant Professor , Takshashila College
Alagramam, Tamil Nadu, India

Ph.D Pursuing

Other Institute 2024

MPhil

Other Institute 2016

MCA

Other Institute 2011

B.Sc Computer Science

Other Institute 2008

Assistant Professor Feb 2024 – Present

Takshashila College

Research Scholar Dec 2023 – Jan 2024

Vels Institute of Science, Technology and Advanced Studies, Chennai | Computer Science

Assistant Professor Jan 2013 – Feb 2024

Saraswathi college of Arts & science,Konerikuppam,Mailam,Tindivanam-604 304

Related Profiles

Experts (0)

Organisations (2+)

arthy v

Assistant Professor

Mr Angamuthu Thandavarayan

Assistant Professor

Dr RAMESH G

Professor

Co-Authors (1)

Dr ARUNACHALAM A. S.

N/A

Scholarly Work

Deep Learning Using Sugarcane Disease in CNN

Funding Agency: no

scholar

2023 - Ongoing

Ongoing

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Scholarly Publications

Hybrid deep learning technique for Identifying Diseases in Sugar-cane Crops

Open Access

preprint

Year: 2025.

Authors: T Angamuthu

10.21203/rs.3.rs-6145260/v1

A COMPARATIVE ANALYSIS OF CNN, GA, RF & RNN FOR IMAGE CLASSIFICATION: INSIGHTS ON PERFORMANCE AND OPTIMISATION USING HYBRID APPROACHES

Open Access

Article

Year: 2025. Volume: 103 , Issue: 9 , Pages: 3890-3891 .

Authors: Angamuthu T.;Arunachalam A.S.

Employing Visiοn Transfοrmеrs for High-Prеcisiοn Sugarcanе Disеasе Classificatiοn: A Dееp Lеarning Pеrspеctiνе

Open Access

Article

Year: 2025. Volume: 14 , Issue: 1 , Pages: 222-227 .

Authors: Angamuthu T;A. S. Arunachalam

10.14419/vtq3sv07

Comparative Analysis of Deep Learning and Optimization Techniques for Sugarcane Disease Classification

Open Access

review

Year: 2025. Volume: 100011 , Pages: 8 .

Authors: T. AngamuthuA. Arunachalam

10.70389/PJCS.100011

A COMPARATIVE ANALYSIS OF CNN, GA, RF & RNN FOR IMAGE CLASSIFICATION: INSIGHTS ON PERFORMANCE AND OPTIMISATION USING HYBRID …

Open Access

journal-article

Year: 2025.

Authors: ANGAMUTHU THADAVARAYAN

Publish with us Search Submit Comparative Analysis of Deep Learning and Optimization Techniques for Sugarcane Disease Classification

Open Access

journal-article

Year: 2025.

Authors: Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India;T Angamuthu;A. S. Arunachalam

10.70389/pjcs.100011

A Comprehensive Survey on the Revolution of Plant Disease Detection and Diagnosis through Automated Image Processing Techniques with CNN and RNN.

Open Access

article

Year: 2024. Volume: Vol.16. , Pages: Pp.1-8 .

Authors: T. Angamuthu,A.S.Arunachalam

A Research Investigation on Conventional Neural Network-Based Disease Detection Techniques for Sugarcane Plants

Open Access

journal-article

Year: 2024. Volume: 8 , Pages: 6 .

Authors: Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu 600117, India;T Angamuthu;A.S Arunachalam;Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu 600117, India

10.55041/ijsrem36913

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