DA
Dinesh Kumar Anguraj
Also known as: Dinesh Kumar Anguraj, Dinu
Koneru Lakshmaiah University, Singapore Institute of Technology, Anna University, Karpagam University, Dr NGP Institute of Technology
Employment
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Koneru Lakshmaiah University Associate Professor2018 - Present
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Dr NGP Institute of Technology Assistant Professor2013 - 2018
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Singapore Institute of Technology Post Doctoral Follow
Education
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Anna University Doctor of Philosophy2014 - 2018
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Karpagam University Master of Engineering2011 - 2013
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Dr NGP Institute of Technology Bachelor of Engineering2008 - 2011
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Ramakrishna Mission Vidyalaya Diploma2005 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (117)
- Probabilistic Bayesian perceptron basis function with convolutional Gabor component regression in scalability analysis for structure health monitoring system: a machine learning algorithms Save
- Enhancing Security and Privacy in Cloud- and IoT-Driven Medical Imaging Using a Cascaded Visual Attention–Deep Spiking Parallel Convolutional Neural Network Optimized with the Improved Orca Predation Algorithm Save
- Advanced Heart Disease Detection: A Quantum Generative Attention Model for Sensing Networks Save
- Enhanced Multimodal Breast Cancer Diagnosis Using Random Graph Diffusion-Based Two-Branch Attention Adversarial Domain Adaptation with Improved Orca Predation Optimization Save
- Ensuring Privacy in Smart Healthcare Systems: A Generalized Data Transmission Perspective Save
- IoT-Enabled Breast Cancer Diagnosis Using Visual Geometry Optimized Grounded Non-convolutional Graph Neural Network Save
- Multimodal data optimization for structural health monitoring using a deep Recursive Gaussian fuzzy Variational encoder-Reinforcement Quantile neural network Save
- A proficient recommendation system for athletes utilizing an adaptive learning model integrated with wearable IoT devices,Un sistema de recomendación competente para atletas que utiliza un modelo de aprendizaje adaptativo integrado con dispositivos IoT p… Save
- Breast Cancer Classification Using Optimized Hyperbolic Context Tangent Reverse Sigmoid Deep Attention Neural Networks Save
- Comparative Analysis of the Identification and Categorization of the Malaria Parasite Employing Recent Amalgamated Machine Learning Methodologies Save