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Krishnaraj Chadaga

Assistant Professor (Full time)

Manipal University

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Research Interests

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Articles (16)

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2026

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Collaborators (9)

Shashikiran Umakanth

Professor of Medicine

Manipal University

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Sucharitha Shetty

ASST.PROFESSOR-SENIOR SCALE

Manipal Institute of Technology

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Abeer A. Al-Masri

Professor

king saud university

SAUDI ARABIA

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Smitha Prabhu

Professor and Head

Manipal University

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Govardhan Hegde

Assistant Professor Senior Scale

Manipal Institute of Technology

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Dr.Cifha Crecil Dias

Assistant Professor Senior Scale

Manipal Institute of Technology

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Niranjana Sampathila

Professor and Associate Dean

Manipal Institute of Technology

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Vikas Khullar

Professor

Chitkara University

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Vijaya Arjunan Ranganathan

Associate Professor

Manipal Institute of Technology

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Krishnaraj Chadaga

Research Interests

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Articles (16)

Machine Learning Techniques for the Detection of Melasma Disease: A Comprehensive Review

An interpretable machine learning framework for pediatric appendicitis and peritonitis diagnosis

A Reinforcement Learning-Assisted Hybrid Optimization Framework for Energy-Aware Task Offloading in Secure IoMT-Cloud Healthcare Environments

Explainable machine learning models for predicting current and voltage in photovoltaic systems

DVTPRED: an explainable machine learning framework for the early prediction of deep vein thrombosis

Quantifying Resilience of CNN-Based Brain Tumor Classification Under FGSM, PGD, and BIM Attacks

A unified model of explainable regression and AES-based data security for soybean yield prediction

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI

Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings

Collaborators (9)

Shashikiran Umakanth

Sucharitha Shetty

Abeer A. Al-Masri

Smitha Prabhu

Govardhan Hegde

Dr.Cifha Crecil Dias

Niranjana Sampathila

Vikas Khullar

Vijaya Arjunan Ranganathan

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