D. Jude Hemanth

发表

IEEE Access Special Section Editorial: Soft Computing Techniques for Image Analysis in the Medical Industry - Current Trends, Challenges and Solutions

Fuqian Shi, João Manuel R. S. Tavares, Lipo Wang, 2018, IEEE Access.

Different methodology for image steganography-based data hiding: review paper

S. Uma Maheswari, D. Jude Hemanth, S. Maheswari, 2015, Int. J. Inf. Commun. Technol..

Data hiding in gray scale images using Integer Wavelet Transform

D. Jude Hemanth, S. Uma Maheswari, 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).

Data augmentation based morphological classification of galaxies using deep convolutional neural network

D. Jude Hemanth, Ansh Mittal, Anu Soorya, 2019, Earth Science Informatics.

Optimization of SVM-Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Simulation Algorithm

D. Jude Hemanth, K. Martin Sagayam, Sankirthana Suresh, 2019 .

Comparative Analysis of Genetic Algorithm & Particle Swarm Optimization Techniques for SOFM Based Abnormal Retinal Image Classification

D. Jude Hemanth, Selva Vijila, 2009 .

Control of singularity trajectory tracking for robotic manipulator by genetic algorithms

Victor Hugo C. de Albuquerque, D. Jude Hemanth, Suane Pires P. da Silva, 2019, J. Comput. Sci..

Self Organizing neural network based pathology classification in retinal images

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Discrete ripplet transform based steganography system for imaging applications

S. Uma Maheswari, D. Jude Hemanth, 2015, Int. J. Reason. based Intell. Syst..

Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification

A. Immanuel Selvakumar, J. Anitha, D. Jude Hemanth, 2014, Neurocomputing.

Distance metric-based time-efficient fuzzy algorithm for abnormal magnetic resonance brain image segmentation

A. Immanuel Selvakumar, J. Anitha, D. Jude Hemanth, 2011, Neural Computing and Applications.

Performance Enhanced Hybrid Artificial Neural Network for Abnormal Retinal Image Classification

J. Anitha, D. Jude Hemanth, 2012, BIC-TA.

An Intelligent IoT-Based Food Quality Monitoring Approach Using Low-Cost Sensors

Oana Geman, Le Hoang Son, D. Jude Hemanth, 2019, Symmetry.

Application of an enhanced fuzzy algorithm for MR brain tumor image segmentation

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2010, International Conference on Digital Image Processing.

A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification

Antoanela Naaji, Oana Geman, J. Anitha, 2019, IEEE Access.

Forest data visualization and land mapping using support vector machines and decision trees

Jyotir Moy Chatterjee, D. Jude Hemanth, Sujatha Radhakrishnan, 2020, Earth Science Informatics.

Performance enhanced image steganography systems using transforms and optimization techniques

S. Uma Maheswari, D. Jude Hemanth, S. Maheswari, 2015, Multimedia Tools and Applications.

A High Speed Back Propagation Neural Network for Multistage MR Brain Tumor Image Segmentation

J. Anitha, D. Jude Hemanth, C. Kezi Selva, 2011 .

Performance Enhanced Hybrid Kohonen-Hopfield Neural Network for Abnormal Brain Image Classification

A. Immanuel Selvakumar, J. Anitha, D. Jude Hemanth, 2011, FGIT-SIP.

Image Pre-processing and Feature Extraction Techniques for Magnetic Resonance Brain Image Analysis

J. Anitha, D. Jude Hemanth, 2012, FGIT-FGCN/DCA.

Analysis of Daubechies Wavelet Transform Based Human Detection Approaches in Digital Videos

J. Anitha, D. Jude Hemanth, Daniela Elena Popescu, 2018, 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES).

Performance Improved PSO based Modified Counter Propagation Neural Network for Abnormal MR Brain Image Classification

D. Jude Hemanth, Selva Vijila, 2010 .

Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine

Arun Kumar Sangaiah, Yu Wang, Fuqian Shi, 2018, J. Ambient Intell. Humaniz. Comput..

Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification

D. Selvathi, J. Anitha, D. Jude Hemanth, 2010, Int. J. Heal. Inf. Syst. Informatics.

An Intelligent Assistive Tool Using Exergaming and Response Surface Methodology for Patients With Brain Disorders

Marius Prelipceanu, Oana Geman, Iuliana Chiuchisan, 2019, IEEE Access.

Deep Feature Extraction and Feature Fusion for Bi-temporal Satellite Image Classification

D. Jude Hemanth, Anju Asokan, Bogdan Patrut, 2020, Computers, Materials & Continua.

A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2010, Int. J. Cogn. Informatics Nat. Intell..

Comparative Analysis of Neural Model and Statistical Model for Abnormal Retinal Image Segmentation

J. Anitha, D. Jude Hemanth, 2012, SocProS.

Deep learning based enhanced tumor segmentation approach for MR brain images

Amit Verma, Mamta Mittal, D. Jude Hemanth, 2019, Appl. Soft Comput..

Fast and accurate fuzzy C‐means algorithm for MR brain image segmentation

J. Anitha, Valentina Emilia Balas, D. Jude Hemanth, 2016, Int. J. Imaging Syst. Technol..

A probabilistic model for state sequence analysis in hidden Markov model for hand gesture recognition

D. Jude Hemanth, K. Martin Sagayam, D. Hemanth, 2018, Comput. Intell..

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

Rachna Jain, D. Jude Hemanth, Akshay Aggarwal, 2019, Cognitive Systems Research.

Novel Optimization Based Hybrid Self-Organizing Map Classifiers for Iris Image Recognition

Utku Kose, D. Jude Hemanth, J. Jenkin Winston, 2020, Int. J. Comput. Intell. Syst..

Gastrointestinal diseases segmentation and classification based on duo-deep architectures

Suresh Chandra Satapathy, Muhammad Attique Khan, D. Jude Hemanth, 2020, Pattern Recognit. Lett..

Moments-Based Feature Vector Extraction for Iris Recognition

D. Jude Hemanth, J. Jenkin Winston, 2020 .

An enhanced Counter Propagation Neural Network for abnormal retinal image classification

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Automated radial basis function neural network based image classification system for diabetic retinopathy detection in retinal images

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2010, International Conference on Digital Image Processing.

Special issue on Decision Support Systems for Medical Applications

Valentina Emilia Balas, D. Jude Hemanth, 2016, Intell. Decis. Technol..

Fusion of artificial neural networks for learning capability enhancement: Application to medical image classification

Bernadetta Kwintiana Ane, J. Anitha, D. Jude Hemanth, 2017, Expert Syst. J. Knowl. Eng..

Diabetic Retinopathy Diagnosis from Retinal Images Using Modified Hopfield Neural Network

J. Anitha, Mamta Mittal, Le Hoang Son, 2018, Journal of Medical Systems.

Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm

Oscar Castillo, Deepak Gupta, Ashish Khanna, 2020, Soft computing.

Hand posture and gesture recognition techniques for virtual reality applications: a survey

D. Jude Hemanth, K. Martin Sagayam, D. Hemanth, 2016, Virtual Reality.

Cancer Cell Detection through Histological Nuclei Images Applying the Hybrid Combination of Artificial Bee Colony and Particle Swarm Optimization Algorithms

D. Jude Hemanth, Hilal Kaya, Javad Rahebi, 2020, Int. J. Comput. Intell. Syst..

Hybrid Neuro-Fuzzy Approaches for Abnormality Detection in Retinal Images

J. Anitha, Valentina Emilia Balas, D. Jude Hemanth, 2014, SOFA.

An improved salient object detection algorithm combining background and foreground connectivity for brain image analysis

Amit Verma, Bhavneet Kaur, Meenakshi Sharma, 2018, Comput. Electr. Eng..

Modified Genetic Algorithm approaches for classification of abnormal Magnetic Resonance Brain tumour images

J. Anitha, D. Jude Hemanth, D. Hemanth, 2019, Appl. Soft Comput..

Brain MR kurtosis imaging study: Contrasting gray and white matter

D. Jude Hemanth, Varun P. Gopi, A. G. Beejesh, 2019, Cognitive Systems Research.

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

D. Jude Hemanth, Suresh Chandra Satapathy, Douglas de A. Rodrigues, 2020, Pattern Recognit. Lett..

Comparative analysis of neural model and fuzzy model for MR brain tumor image segmentation

J. Anitha, D. Jude Hemanth, C. Kezi Selva Vijila, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

A Modified Fuzzy Logic Relation-Based Approach for Electricity Consumption Forecasting in India

Rachna Jain, D. Jude Hemanth, Nikita Jain, 2019, International Journal of Fuzzy Systems.

Performance Improved Modified Fuzzy C-Means Algorithm for Image Segmentation Applications

J. Anitha, Valentina Emilia Balas, D. Jude Hemanth, 2015, Informatica.

Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview

Antoanela Naaji, D. Jude Hemanth, Monica Ciobanu, 2020, Applied Sciences.

Communications requirements, video streaming, communications links and networked UAVs

Hermes José Loschi, Asif Ali Laghari, D. Jude Hemanth, 2020 .

An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

Omer Deperlioglu, Utku Kose, D. Jude Hemanth, 2019, Neural Computing and Applications.

ABC algorithm based optimization of 1-D hidden Markov model for hand gesture recognition applications

D. Jude Hemanth, K. Martin Sagayam, 2018, Comput. Ind..

Fuzzy C-Means based on Minkowski distance for liver CT image segmentation

Aboul Ella Hassanien, Abder-Rahman Ali, Micael S. Couceiro, 2016, Intell. Decis. Technol..

A secure confident cloud computing architecture solution for a smart campus

D. Jude Hemanth, Constantin Bungau, Daniela Elena Popescu, 2018, 2018 7th International Conference on Computers Communications and Control (ICCCC).

Deep learning based detection and analysis of COVID-19 on chest X-ray images

Rachna Jain, D. Jude Hemanth, Soham Taneja, 2020, Appl. Intell..

Human emotion recognition using intelligent approaches: A review

D. Jude Hemanth, M. Kalpana Chowdary, D. Hemanth, 2020, Intell. Decis. Technol..

Performance Improved Hybrid Intelligent System for Medical Image Classification

J. Anitha, Valentina Emilia Balas, D. Jude Hemanth, 2015, BCI.

Non-Nested Generalisation (NNGE) Algorithm for Efficient and Early Detection of Diabetes

Shafii Muhammad Abdulhamid, Haruna Chiroma, D. Jude Hemanth, 2018, ITITS.

Performance-enhanced modified self-organising map for iris data classification

D. Jude Hemanth, J. Jenkin Winston, 2021, Expert Syst. J. Knowl. Eng..

Emergency Response Cyber-Physical System for Disaster Prevention with Sustainable Electronics

Osamu Saotome, D. Jude Hemanth, Vania V. Estrela, 2017, PETRA.

A modified genetic algorithm for performance improvement of transform based image steganography systems

J. Anitha, Le Hoang Son, D. Jude Hemanth, 2018, J. Intell. Fuzzy Syst..

An automatic screening approach for obstructive sleep apnea from photoplethysmograph using machine learning techniques

D. Jude Hemanth, Smily Jeya Jothi E., Anitha J., 2021 .

Artificial Intelligence Techniques in Smart Cities Surveillance Using UAVs: A Survey

Preeti Nagrath, Rachna Jain, D. Jude Hemanth, 2021 .

Hybrid deep convolutional neural models for iris image recognition

Epaminondas Kapetanios, D. Jude Hemanth, Anastassia Angelopoulou, 2021, Multimedia Tools and Applications.

An intelligent medical decision support system for diagnosis of heart abnormalities in ECG signals

J. Anitha, D. Jude Hemanth, J. Revathi, 2021, Intell. Decis. Technol..

Towards a Smarter Surveillance Solution: The Convergence of Smart City and Energy Efficient Unmanned Aerial Vehicle Technologies

Preeti Nagrath, Rachna Jain, D. Jude Hemanth, 2021 .

Coherence and Adaptivity in Frameless Rendering-A Practical and Information Theoretic Analysis

Abhinav Dayal, D. Jude Hemanth, Sreenu Ponnada, 2021, IEEE Access.

Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making

S. Arunmozhi, Venkatesan Rajinikanth, Samaresh Mishra, 2021, Evol. Intell..

A Pattern-Based Artificial Bee Colony Algorithm for Motion Estimation in Video Compression Techniques

J. Anitha, D. Jude Hemanth, D. Hemanth, 2018, Circuits Syst. Signal Process..

Image Steganography using Hybrid Edge Detector and Ridgelet Transform

S. Uma Maheswari, D. Jude Hemanth, S. Maheswari, 2015 .