2DOF PID Controller Tuning for Unstable Systems Using Bacterial Foraging Algorithm. - K. Latha 001; V. Rajinikanth (SEMCCO, 2012)

I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion. - V. Rajinikanth; K. Latha 001 (Appl. Comput. Intell. Soft Comput., 2012)

Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm. - V. Rajinikanth; K. Latha 001 (Appl. Comput. Intell. Soft Comput., 2012)

Firefly Algorithm with Various Randomization Parameters: An Analysis. - Nadaradjane Sri Madhava Raja; K. Suresh Manic; V. Rajinikanth (SEMCCO (1), 2013)

Entropy based segmentation of tumor from brain MR images - a study with teaching learning based optimization. - V. Rajinikanth; Suresh Chandra Satapathy; Steven Lawrence Fernandes; S. Nachiappan (Pattern Recognit. Lett., 2017)

Inspection of Crop-Weed Image Database Using Kapur's Entropy and Spider Monkey Optimization. - V. Rajinikanth; Nilanjan Dey; Suresh Chandra Satapathy; Krishnamurthy Kamalanand (SocProS (1), 2018)

Recognition of Skin Diseases Using Curvelet Transforms and Law's Texture Energy Measures. - Jyotismita Chaki; Nilanjan Dey; V. Rajinikanth; Amira S. Ashour; Fuqian Shi (SOFA (2), 2018)

An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model. - Venkatesan Rajinikanth; Nilanjan Dey; Suresh Chandra Satapathy; Amira S. Ashour (Future Gener. Comput. Syst., 2018)

Multi-level image thresholding using Otsu and chaotic bat algorithm. - Suresh Chandra Satapathy; Nadaradjane Sri Madhava Raja; Venkatesan Rajinikanth; Amira S. Ashour; Nilanjan Dey (Neural Comput. Appl., 2018)

Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images. - Nilanjan Dey; Venkatesan Rajinikanth; Amira S. Ashour; João Manuel R. S. Tavares (Symmetry, 2018)

Automated detection of schizophrenia using nonlinear signal processing methods. - V. Jahmunah 001; Shu Lih Oh; V. Rajinikanth; Edward J. Ciaccio; Kang Hao Cheong; Arunkumar N.; U. Rajendra Acharya (Artif. Intell. Medicine, 2019)

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network. - Yu Wang 094; Yating Chen; Ningning Yang; Longfei Zheng; Nilanjan Dey; Amira S. Ashour; Venkatesan Rajinikanth; João Manuel R. S. Tavares; Fuqian Shi (Appl. Soft Comput., 2019)

A Hybrid Framework to Evaluate Breast Abnormality Using Infrared Thermal Images. - Steven Lawrence Fernandes; Venkatesan Rajinikanth; Seifedine Nimer Kadry (IEEE Consumer Electron. Mag., 2019)

Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. - U. Rajendra Acharya; Steven Lawrence Fernandes; Joel Koh En Wei; Edward J. Ciaccio; Mohd Kamil Bin Mohd Fabell; Urcun John Tanik; V. Rajinikanth; Chai Hong Yeong (J. Medical Syst., 2019)

Brain MRI Examination with Varied Modality Fusion and Chan-Vese Segmentation. - D. Abirami; N. Shalini; V. Rajinikanth; Hong Lin; Vaddi Seshagiri Rao (FICTA (2), 2020)

Extraction of Cancer Section from 2D Breast MRI Slice Using Brain Strom Optimization. - R. Elanthirayan; K. Sakeenathul Kubra; V. Rajinikanth; Nadaradjane Sri Madhava Raja; Suresh Chandra Satapathy (FICTA (2), 2020)

Extraction of Leukocyte Section from Digital Microscopy Picture with Image Processing Method. - R. Dellecta Jessy Rashmi; V. Rajinikanth; Hong Lin; Suresh Chandra Satapathy (FICTA (2), 2020)

Examination of Optic Disc Sections of Fundus Retinal Images - A Study with Rim-One Database. - S. Fuzail Ahmed Razeen; Emmanuel; V. Rajinikanth; P. Tamizharasi; B. Parvatha Varthini (FICTA (2), 2020)

Image Assisted Assessment of Cancer Segment from Dermoscopy Images. - M. Santhosh; R. Rubin Silas Raj; V. Rajinikanth; Suresh Chandra Satapathy (FICTA (2), 2020)

Automated Segmentation of COVID-19 Lesion from Lung CT Images Using U-Net Architecture. - Seifedine Nimer Kadry; Fadi M. Al-Turjman; V. Rajinikanth (SmartCity360°, 2020)

Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection. - Muhammad Attique Khan; Seifedine Nimer Kadry; Majed Alhaisoni; Yunyoung Nam; Yudong Zhang 001; Venkatesan Rajinikanth; Muhammad Shahzad Sarfraz (IEEE Access, 2020)

Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images. - Nilanjan Dey; V. Rajinikanth; Simon James Fong; M. Shamim Kaiser; Mufti Mahmud (Cogn. Comput., 2020)

Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis. - K. Palani Thanaraj; B. Parvathavarthini; Urcun John Tanik; V. Rajinikanth; Seifedine Nimer Kadry; Krishnamurthy Kamalanand (CoRR, 2020)

Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images. - V. Rajinikanth; Nilanjan Dey; Alex Noel Joseph Raj; Aboul Ella Hassanien; KC Santosh; Nadaradjane Sri Madhava Raja (CoRR, 2020)

Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class. - Seifedine Nimer Kadry; Venkatesan Rajinikanth; Seungmin Rho; Nadaradjane Sri Madhava Raja; Vaddi Seshagiri Rao; Krishnan Palani Thanaraj (CoRR, 2020)

Deep neural network assisted diagnosis of time-frequency transformed electromyograms. - Ambikapathy Bakiya; Krishnamurthy Kamalanand; V. Rajinikanth; Ramesh Sunder Nayak; Seifedine Nimer Kadry (Multim. Tools Appl., 2020)

A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians. - Steven Lawrence Fernandes; Urcun John Tanik; V. Rajinikanth; K. Arvind Karthik (Neural Comput. Appl., 2020)

Time domain analysis on myoelectric activity of masseter muscles in resting and chewing conditions. - S. Arockia Sukanya; Krishnamurthy Kamalanand; B. Thayumanavan; C. Emmanuel; V. Rajinikanth (Netw. Model. Anal. Health Informatics Bioinform., 2020)

Genetic algorithm based key sequence generation for cipher system. - Sudeepa K. B; Ganesh Aithal; V. Rajinikanth; Suresh Chandra Satapathy (Pattern Recognit. Lett., 2020)

Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images. - Abhir Bhandary; G. Ananth Prabhu; V. Rajinikanth; K. Palani Thanaraj; Suresh Chandra Satapathy; David E. Robbins; Charles Shasky; Yu-Dong Zhang 001; João Manuel R. S. Tavares; Nadaradjane Sri Madhava Raja (Pattern Recognit. Lett., 2020)

Image Examination System to Detect Gastric Polyps from Endoscopy Images. - Nilanjan Dey; Fuqian Shi; Venkatesan Rajinikanth (Information Technology and Intelligent Transportation Systems, 2020)

Classification of Melanoma Through Fused Color Features and Deep Neural Networks. - Ananjan Maiti; Himadri Shekhargiri; Biswajoy Chatterjee; Venkatesan Rajinikanth; Fuqian Shi; Nilanjan Dey (Information Technology and Intelligent Transportation Systems, 2020)

Tuberculosis Detection from Chest Radiographs with Pre-trained Deep Learning Scheme: A Study. - Seifedine Kadry 001; Venkatesan Rajinikanth; A. Chandrasekar 002; R. Nandhini Abirami (ICCTA, 2021)

Automatic Detection of Breast Cancer in Thermal Images using Optimal Handcrafted Features. - Seifedine Kadry 001; Venkatesan Rajinikanth; Susmitha Dasari; T. Suvathi (ICCTA, 2021)

Detection of Diabetic Macular Edema in Retinal OCT Images with Firefly-Algorithm Selected Features. - Seifedine Kadry 001; Venkatesan Rajinikanth; Jiny Mariam Jerry; R. Carolin Gifta (ICCTA, 2021)

Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. - Seifedine Nimer Kadry; Venkatesan Rajinikanth; Gautam Srivastava 001; Maytham N. Meqdad (MIKE, 2021)

Assessment of Brain Tumor in Flair MRI Slice with Joint Thresholding and Segmentation. - Seifedine Nimer Kadry; David Taniar; Maytham N. Meqdad; Gautam Srivastava 001; Venkatesan Rajinikanth (MIKE, 2021)

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. - Sakshi Ahuja; Bijaya Ketan Panigrahi; Nilanjan Dey; Venkatesan Rajinikanth; Tapan Kumar Gandhi (Appl. Intell., 2021)

An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm. - Liu Wei; Su Xiao Pan; Yaser Ahangari Nanehkaran; V. Rajinikanth (Comput. Math. Methods Medicine, 2021)

Assessment of electromyograms using genetic algorithm and artificial neural networks. - Bakiya Ambikapathy; Kamalanand Kirshnamurthy; Rajinikanth Venkatesan (Evol. Intell., 2021)

Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making. - D. Jude Hemanth; V. Rajinikanth; Vaddi Seshagiri Rao; Samaresh Mishra; Naeem M. S. Hannon; Rajangam Vijayarajan; S. Arunmozhi (Evol. Intell., 2021)

Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur's thresholding: a study. - Seifedine Nimer Kadry; V. Rajinikanth; Nadaradjane Sri Madhava Raja; D. Jude Hemanth; Naeem M. S. Hannon; Alex Noel Joseph Raj (Evol. Intell., 2021)

Automated classification of retinal images into AMD/non-AMD Class - a study using multi-threshold and Gassian-filter enhanced images. - V. Rajinikanth; R. Sivakumar; D. Jude Hemanth; Seifedine Nimer Kadry; Jnyana Ranjan Mohanty; S. Arunmozhi; Nadaradjane Sri Madhava Raja; Gia Nhu Nguyen (Evol. Intell., 2021)

A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm. - V. Rajinikanth; Seifedine Kadry 001; Rubén González Crespo; Elena Verdú (Int. J. Interact. Multim. Artif. Intell., 2021)

Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices. - Venkatesan Rajinikanth; Seifedine Nimer Kadry; Yunyoung Nam (Inf. Technol. Control., 2021)

Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis. - Venkatesan Rajinikanth; Seifedine Nimer Kadry (Int. J. Data Warehous. Min., 2021)

Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays. - Nilanjan Dey; Yudong Zhang 001; V. Rajinikanth; R. Pugalenthi; Nadaradjane Sri Madhava Raja (Pattern Recognit. Lett., 2021)

Deep Learning Framework to Detect Ischemic Stroke Lesion in Brain MRI Slices of Flair/DW/T1 Modalities. - Venkatesan Rajinikanth; Shabnam Mohamed Aslam; Seifedine Nimer Kadry (Symmetry, 2021)

Special issue on "intelligent computing and communication in concurrent engineering". - K. Vijayakumar 002; V. Rajinikanth (Concurr. Eng. Res. Appl., 2022)

EEG Channel Selection Using Multiobjective Cuckoo Search for Person Identification as Protection System in Healthcare Applications. - Zaid Abdi Alkareem Alyasseri; Osama Ahmad Alomari; Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001; Karrar Hameed Abdulkareem; Mazin Abed Mohammed; Seifedine Kadry 001; V. Rajinikanth; Seungmin Rho (Comput. Intell. Neurosci., 2022)

COVID-19 Classification Using Medical Image Synthesis by Generative Adversarial Networks. - R. Nandhini Abirami; P. M. Durai Raj Vincent; Venkatesan Rajinikanth; Seifedine Kadry 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. - U. Raghavendra; Anjan Gudigar; Tejaswi N. Rao; V. Rajinikanth; Edward J. Ciaccio; Chai Hong Yeong; Suresh Chandra Satapathy; Filippo Molinari; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2022)

Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme. - Seifedine Kadry 001; V. Rajinikanth; Rubén González Crespo; Elena Verdú (J. Supercomput., 2022)

Automated segmentation of leukocyte from hematological images - a study using various CNN schemes. - Seifedine Kadry 001; Venkatesan Rajinikanth; David Taniar; Robertas Damasevicius; Xiomara Patricia Blanco-Valencia (J. Supercomput., 2022)

Classification of Real and Deepfakes Visual Samples with Pre-trained Deep Learning Models. - Marriam Nawaz; Ali Javed; Tahira Nazir; Muhammad Attique Khan; Venkatesan Rajinikanth; Seifedine Nimer Kadry (ICACDS, 2023)

Plant Disease Classification Using VGG-19 Based Faster-RCNN. - Marriam Nawaz; Tahira Nazir; Muhammad Attique Khan; Venkatesan Rajinikanth; Seifedine Nimer Kadry (ICACDS, 2023)

Automatic liver-vessel examination from CT slice using Kapur's thresholding and watershed algorithm. - Seifedine Nimer Kadry; Laith Abualigah; Rubén González Crespo; Elena Verdú; Robertas Damasevicius; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

COVID19 detection in chest x-ray using vision-transformer with different patch dimensions. - Seifedine Nimer Kadry; Laith Abualigah; Rubén González Crespo; Elena Verdú; Robertas Damasevicius; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

CNN segmentation of skin melanoma in pre-processed dermoscopy images. - Seifedine Nimer Kadry; Elena Verdú; Robertas Damasevicius; Laith Abualigah; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+. - Seifedine Kadry 001; Mohammed Azmi Al-Betar; Sahar Yassine; Ramya Mohan; Rama Arunmozhi; Venkatesan Rajinikanth (MIKE, 2023)

Efficient Chest X-Ray Investigation Using Firefly Algorithm Optimized Deep and Handcrafted Features. - Seifedine Kadry 001; Mohammed Azmi Al-Betar; Sahar Yassine; Ramya Mohan; Rama Arunmozhi; Venkatesan Rajinikanth (MIKE, 2023)

ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features. - Venkatesan Rajinikanth; Seifedine Kadry 001; Pablo Moreno-Ger (Int. J. Interact. Multim. Artif. Intell., 2023)

Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique. - V. Rajinikanth; Seifedine Kadry 001; David Taniar; Krishnamurthy Kamalanand; Mohamed Abd Elaziz 001; K. Palani Thanaraj (J. Ambient Intell. Humaniz. Comput., 2023)

Framework to Detect Schizophrenia in Brain MRI Slices with Mayfly Algorithm-Selected Deep and Handcrafted Features. - K. Suresh Manic; Venkatesan Rajinikanth; Ali Saud Al-Bimani; David Taniar; Seifedine Kadry 001 (Sensors, 2023)

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. - Anjan Gudigar; U. Raghavendra; Tejaswi N. Rao; Jyothi Samanth; Venkatesan Rajinikanth; Suresh Chandra Satapathy; Edward J. Ciaccio; Wai-Yee Chan; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2023)

Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features. - Seifedine Kadry 001; V. Elizabeth Jessy; Venkatesan Rajinikanth; Rubén González Crespo (J. Ambient Intell. Humaniz. Comput., 2023)

Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network. - M. Akshay Kumaar; Duraimurugan Samiayya; Venkatesan Rajinikanth; P. M. Durai Raj Vincent; Seifedine Kadry 001 (Int. J. Interact. Multim. Artif. Intell., 2024)

Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation. - Nadaradjane Sri Madhava Raja; Steven Lawrence Fernandes; Nilanjan Dey; Suresh Chandra Satapathy; V. Rajinikanth (J. Ambient Intell. Humaniz. Comput., 2024)

Correction: Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features. - Seifedine Nimer Kadry; V. Elizabeth Jessy; Venkatesan Rajinikanth; Rubén González Crespo (J. Ambient Intell. Humaniz. Comput., 2024)

Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals. - Joel Koh En Wei; Venkatesan Rajinikanth; Jahmunah Vicnesh; The-Hanh Pham; Shu Lih Oh; Chai Hong Yeong; Meena Sankaranarayanan; Aditya P. Kamath; Giliyar Muralidhar Bairy; Prabal Datta Barua; Kang Hao Cheong (Expert Syst. J. Knowl. Eng., 2024)

A novel coarse-to-fine computational method for three-dimensional landmark detection to perform hard-tissue cephalometric analysis. - Kusum Yadav; Kawther A. Al-Dhlan; Hamad Alreshidi; Gaurav Dhiman; Wattana Viriyasitavat; Abdullah Zaid Almankory; Kadiyala Ramana; S. Vimal 001; Venkatesan Rajinikanth (Expert Syst. J. Knowl. Eng., 2024)

A computer vision-based approach for identification of non-metallic inclusions in the steel industry products. - Surya Prakash Mishra; Ashok Kamaraj; V. Rajinikanth; M. R. Rahul (J. Ind. Inf. Integr., 2025)