Ministry of Education
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Dr Akella S Narasimha Raju

vidwan id: 637582
Male

Assistant Professor, Department of Computing Technologies - KTR
S R M Institute of Science & Technology, Chennai

Orchid Icon 0000-0002-3237-2859 Google Scholar Icon 59942665100 Researcher Icon GYU-4605-2022 Google Scholar Icon 2duaQEkAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 20
Books 0
Proceedings 0

Publications

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Scopus

Citations 49
h-index 5

CrossRef

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Citations 0
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Professional Recognition

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Community & Membership

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Bio

Deep Learning and Computer Vision

Personal Details

  • Male
  • Assistant Professor , S R M Institute of Science & Technology, Chennai
  • K AGRAHARAM, AMALAPURAM
PhD
Other Institute 2023
Assistant Professor Apr 2025 – Present
S R M Institute of Science & Technology, Chennai | Department of Computing Technologies - KTR

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Co-Authors (12)

AKELLA S

Dr AKELLA S NARASIMHA RAJU

S R M Institute of Science & Technology, Chennai

SHAIK

Dr SHAIK JAKEER HUSSAIN

Institute of Aeronautical Engineering

G S N

Dr G S N Murthy

Aditya College of Engineering and Technology

D J Nagendra

Dr D J Nagendra Kumar

Vishnu Institute of Technology, Bhimavaram

Makineedi

Dr Makineedi Rajababu

Aditya University

Rajalakshmi

Dr Rajalakshmi T

S R M Institute of Science & Technology, Chennai

Ranjith Kumar

Dr Ranjith Kumar Gatla

Institute of Aeronautical Engineering

Pullela

Dr Pullela S V V S R Kumar

Aditya College of Engineering and Technology

Seelam

Dr Seelam Sreekanth

Institute of Aeronautical Engineering

Sajja

Dr Sajja Suneel

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Sucharitha

Dr Sucharitha G

Institute of Aeronautical Engineering

Venkatesh

Dr Venkatesh K

S R M Institute of Science & Technology, Chennai

Scholarly Work

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Scholarly Publications

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

Open Access
Article
Scientific Reports. Year: 2024. Volume: 14 , Issue: 1 .
Authors: Raju A.S.N.;Venkatesh K.;Padmaja B.;Kumar C.N.S.;Patnala P.R.M.;Lasisi A.;Islam S.;Razak A.;Khan W.A.
DOI 10.1038/s41598-024-81456-1
2

Enhancing Colorectal Cancer Diagnosis With Feature Fusion and Convolutional Neural Networks The TumorDiagX Framework

Open Access
Article
Year: 2024. Volume: 2024 .
Authors: Raju A.S.N.;Rajababu M.;Acharya A.;Suneel S.
DOI 10.1155/2024/9916843
1

EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset

Open Access
Article
Year: 2023. Volume: 10 , Issue: 6 .
Authors: Raju A.S.N.;Venkatesh K.
DOI 10.3390/bioengineering10060738
9

An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies

Open Access
Article
Year: 2023. Volume: 35 , Issue: 28 , Pages: 20631-20662 .
Authors: Raju A.S.N.;Jayavel K.;Rajalakshmi T.
DOI 10.1007/s00521-023-08859-5
6

Optimizing Colorectal Carcinoma Prediction Employing Convolutional Neural Networks with Multiple Features and Fusion Layers

Open Access
other
Year: 2023.
Authors: Narasimha Raju, A.S.;Jayavel, K.;Rajalakshmi, T.

Histopathology exploratory evidence of discrepancy detection of carcinoma in the colorectal region using integrated cnn-gradcam

Open Access
conference-paper
AIP Conference Proceedings. Year: 2023. Volume: 2754 , Issue: 1 .
Authors: Raju, A.S.N.;Jayavel, K.;Rajalakshmi, T.

An IoT-Enabled Healthcare System: Auto-predictive Colorectal Cancer with Colonoscopy Images Combined with the Convolutional Neural Network

Open Access
Conference Paper
Year: 2022. Volume: 853 , Pages: 283-294 .
Authors: Raju A.S.N.;Jayavel K.;Rajalakshmi T.
DOI 10.1007/978-981-16-9885-9_24
1

Rapid Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence Through ColoRectalCADx

Open Access
other
Year: 2022.
Authors: Narasimha Raju, A.S.;Jayavel, K.;Rajalakshmi, T.