Intelligent Data Delivery Approach for Smart Cities Using Road Side Units. - Rajkumar Kulandaivel; Monica Balasubramaniam; Fadi Al-Turjman 001; Leonardo Mostarda; Manikandan Ramachandran; Rizwan Patan (IEEE Access, 2019)

Boosted neural network ensemble classification for lung cancer disease diagnosis. - Jafar Ahmad Abed Alzubi; Balasubramaniyan Bharathikannan; Sudeep Tanwar; Manikandan Ramachandran; Ashish Khanna; Chandrasekar Thaventhiran (Appl. Soft Comput., 2019)

A deep neural network based classifier for brain tumor diagnosis. - Ambeshwar Kumar; Manikandan Ramachandran; Amir H. Gandomi; Rizwan Patan; Szymon Lukasik; Kattur Soundarapandian Ravichandran (Appl. Soft Comput., 2019)

Improved pharma education system in the field of medical images using compression techniques. - Rajasekhar Reddy Manyam; K. S. Ravichandran 001; Balasubramaniam Venkatraman; K. R. Sekar; Manikandan Ramachandran (Clust. Comput., 2019)

Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier. - Gopi Kasinathan; Selvakumar Jayakumar; Amir H. Gandomi; Manikandan Ramachandran; Simon James Fong; Rizwan Patan (Expert Syst. Appl., 2019)

Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation. - Ramesh Sekaran; Rizwan Patan; Arunprasath Raveendran; Fadi Al-Turjman 001; Manikandan Ramachandran; Leonardo Mostarda (IEEE Access, 2020)

Hash polynomial two factor decision tree using IoT for smart health care scheduling. - Manikandan Ramachandran; Rizwan Patan; Amir H. Gandomi; Perumal Sivanesan; Hariharan Kalyanaraman (Expert Syst. Appl., 2020)

Fusion of iris and sclera using phase intensive rubbersheet mutual exclusion for periocular recognition. - Deepak Kumar Jain 001; Xiangyuan Lan; Ramachandran Manikandan (Image Vis. Comput., 2020)

An optimal pruning algorithm of classifier ensembles: dynamic programming approach. - Omar A. Alzubi; Jafar Ahmad Abed Alzubi; Mohammed Alweshah; Issa Qiqieh; Sara Al-Shami; Manikandan Ramachandran (Neural Comput. Appl., 2020)

Deep neural learning techniques with long short-term memory for gesture recognition. - Deepak Kumar Jain 001; Aniket Mahanti; Pourya Shamsolmoali; Ramachandran Manikandan (Neural Comput. Appl., 2020)

A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. - Raghunathan Krishankumar; Premaladha Jayaraman; K. S. Ravichandran 001; K. R. Sekar; Manikandan Ramachandran; X. Z. Gao 001 (Soft Comput., 2020)

Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer. - Geeitha Senthilkumar; Jothilakshmi Ramakrishnan; Jaroslav Frnda; Manikandan Ramachandran; Deepak Gupta 002; Prayag Tiwari; Mohammad Shorfuzzaman; Mazin Abed Mohammed (IEEE Access, 2021)

5G Integrated Spectrum Selection and Spectrum Access using AI-based Frame work for IoT based Sensor Networks. - Ramesh Sekaran; Surya Narayana Goddumarri; Suresh Kallam; Manikandan Ramachandran; Rizwan Patan; Deepak Gupta 002 (Comput. Networks, 2021)

Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications. - Parameshwaran Ramalingam; Gopalakrishnan Lakshminarayanan; Manikandan Ramachandran; Rizwan Patan (Expert Syst. Appl., 2021)

Cryptography-based deep artificial structure for secure communication using IoT-enabled cyber-physical system. - Chakrapani Kannan; Dakshinamoorthy Muralidharan; Manikandan Ramachandran; Rizwan Patan; Hariharan Kalyanaraman; Ambeshwar Kumar (IET Commun., 2021)

Swarm intelligence-based optimal device deployment in heterogeneous Internet of Things networks for wind farm application. - M. Vergin Raja Sarobin; L. Jani Anbarasi; Prassanna Jayachandran; Ramachandran Manikandan; Fadi M. Al-Turjman (Int. J. Commun. Syst., 2021)

Vision Based Segmentation and Classification of Cracks Using Deep Neural Networks. - Arathi Reghukumar; L. Jani Anbarasi; Prassanna Jayachandran; Ramachandran Manikandan; Fadi M. Al-Turjman (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Differential spectrum access for next generation data traffic in massive-IoT. - T. Prem Jacob; Albert Pravin; Manikandan Ramachandran; Fadi M. Al-Turjman (Microprocess. Microsystems, 2021)

A reinforcement learning optimization for future smart cities using software defined networking. - Rajkumar Kulandaivel; Manikandan Ramachandran; Fadi M. Al-Turjman; Rizwan Patan (Int. J. Mach. Learn. Cybern., 2021)

An Improved IDAF-FIT Clustering Based ASLPP-RR Routing with Secure Data Aggregation in Wireless Sensor Network. - M. Vasim Babu; Jafar Ahmad Abed Alzubi; Ramesh Sekaran; Rizwan Patan; Manikandan Ramachandran; Deepak Gupta 002 (Mob. Networks Appl., 2021)

Machine learning-based left ventricular hypertrophy detection using multi-lead ECG signal. - Revathi Jothiramalingam; Anitha Jude; Rizwan Patan; Manikandan Ramachandran; Jude Hemanth Duraisamy; Amir H. Gandomi (Neural Comput. Appl., 2021)

Multivariate regressive deep stochastic artificial learning for energy and cost efficient 6G communication. - Ramesh Sekaran; Manikandan Ramachandran; Rizwan Patan; Fadi M. Al-Turjman (Sustain. Comput. Informatics Syst., 2021)

Duo-Stage Decision: A Framework for Filling Missing Values, Consistency Check, and Repair of Decision Matrices in Multicriteria Group Decision Making. - Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Amir H. Gandomi; Manikandan Ramachandran; Rizwan Patan; Madda Rajasekhara Babu (IEEE Trans. Engineering Management, 2021)

Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis. - Ambeshwar Kumar; Ramachandran Manikandan; Utku Kose; Deepak Gupta 002; Suresh Chandra Satapathy (ACM Trans. Multim. Comput. Commun. Appl., 2021)

BDN-GWMNN: Internet of Things (IoT) Enabled Secure Smart City Applications. - Subhashini Peneti; Sunil Kumar Malchi; Suresh Kallam; Rizwan Patan; Vidhyacharan Bhaskar; Manikandan Ramachandran (Wirel. Pers. Commun., 2021)

Lightweight Bio-Chaos Crypt to Enhance the Security of Biometric Images in Internet of Things Applications. - Sujarani Rajendran; Manivannan Doraipandian; Ramachandran Manikandan; Vidhyacharan Bhaskar (Wirel. Pers. Commun., 2021)

Lung cancer disease detection using service-oriented architectures and multivariate boosting classifier. - Chandrasekar Thaventhiran; Sekar Kidambi Raju; Manikandan Ramachandran; Rizwan Patan; Amir H. Gandomi (Appl. Soft Comput., 2022)

3D brain slice classification and feature extraction using Deformable Hierarchical Heuristic Model. - Ramesh Sekaran; Ashok Kumar Munnangi; Manikandan Ramachandran; Amir H. Gandomi (Comput. Biol. Medicine, 2022)

Deming least square regressed feature selection and Gaussian neuro-fuzzy multi-layered data classifier for early COVID prediction. - Rathnamma V. Mydukuri; Suresh Kallam; Rizwan Patan; Fadi Al-Turjman 001; Manikandan Ramachandran (Expert Syst. J. Knowl. Eng., 2022)

A study on specific learning algorithms pertaining to classify lung cancer disease. - Malavika Saminathan; Manikandan Ramachandran; Ambeshwar Kumar; Rajkumar Kulandaivel; Ashish Khanna; Prakashkumar Singh (Expert Syst. J. Knowl. Eng., 2022)

Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images. - Malathy Jawahar; L. Jani Anbarasi; Prassanna Jayachandran; Manikandan Ramachandran; Fadi M. Al-Turjman (Int. J. E Health Medical Commun., 2022)

Blockchain Security Using Merkle Hash Zero Correlation Distinguisher for the IoT in Smart Cities. - Rizwan Patan; Ramachandran Manikandan; Parameshwaran Ramalingam; Perumal Sivanesan; Mahmoud Daneshmand; Amir H. Gandomi (IEEE Internet Things J., 2022)

A high performance scalable fuzzy based modified Asymmetric Heterogene Multiprocessor System on Chip (AHt-MPSOC) reconfigurable architecture. - Arunprasath Raveendran; Jafar Ahmad Abed Alzubi; Ramesh Sekaran; Manikandan Ramachandran (J. Intell. Fuzzy Syst., 2022)

Gaussian relevance vector MapReduce-based annealed Glowworm optimization for big medical data scheduling. - Rizwan Patan; Suresh Kallam; Amir H. Gandomi; Thomas Hanne; Manikandan Ramachandran (J. Oper. Res. Soc., 2022)

Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. - Malathy Jawahar; Prassanna Jayachandran; Vinayakumar Ravi; L. Jani Anbarasi; S. Graceline Jasmine; Manikandan Ramachandran; Ramesh Sekaran; Suthendran Kannan (Multim. Tools Appl., 2022)

Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization. - Sethuraman Jayaraman; Manikandan Ramachandran; Rizwan Patan; Mahmoud Daneshmand; Amir H. Gandomi (IEEE Trans. Big Data, 2022)

RSSI Based Localization and Tracking in a Spatial Network System using Wireless Sensor Networks. - Amutha Balakrishnan; Kadiyala Ramana; Karthick Nanmaran; Manikandan Ramachandran; Vidhyacharan Bhaskar; Suresh Kallam (Wirel. Pers. Commun., 2022)

Holistic Feistel Authenticated Learning-Based Authorization for Protecting the Internet of Things from Cyber Attacks. - Robbi Rahim; Manikandan Ramachandran; Prassanna Jayachandran; Hariharan Kalyanaraman; Vidhyacharan Bhaskar; Ambeshwar Kumar (Wirel. Pers. Commun., 2022)

Ant colony resource optimization for Industrial IoT and CPS. - Ramesh Sekaran; Ashok Kumar Munnangi; Sivaram Rajeyyagari; Manikandan Ramachandran; Fadi M. Al-Turjman (Int. J. Intell. Syst., 2022)

Edge-Empowered Communication-Based Vehicle and Pedestrian Trajectory Perception System for Smart Cities. - Suresh Chavhan; Sachin Kumar 001; Deepak Gupta 002; Ahmed Alkhayyat 001; Ashish Khanna; Ramachandran Manikandan (IEEE Internet Things J., 2023)

Approach to secret content tagging on color images with a Sudoku-based scrambling principle. - R. Bala Krishnan; N. Rajesh Kumar; Manikandan Ganesan; Ramachandran Manikandan (J. Electronic Imaging, 2023)

Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data. - Manikandan Ramachandran; Rizwan Patan; Ambeshwar Kumar; Soheil Hosseini; Amir H. Gandomi (IEEE Trans. Engineering Management, 2023)

Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning. - Jafar Ahmad Abed Alzubi; Omar A. Alzubi; Ashish Singh; Manikandan Ramachandran (IEEE Trans. Ind. Informatics, 2023)

An Enhanced Exploration of Sentimental Analysis in Health Care. - Chakrapani Kannan; Muniyegowda Kempanna; Mohamed Iqubal Safa; Thiyagarajan Kavitha; Manikandan Ramachandran; Vidhyacharan Bhaskar; Ambeshwar Kumar (Wirel. Pers. Commun., 2023)

Optimization of Energy and Security in Mobile Sensor Network Using Classification Based Signal Processing in Heterogeneous Network. - S. Ramesh 005; S. Nirmalraj; S. Murugan; Manikandan Ramachandran; Fadi Al-Turjman 001 (J. Signal Process. Syst., 2023)

Cloud-Based Smart Contract Analysis in FinTech Using IoT-Integrated Federated Learning in Intrusion Detection. - Venkatagurunatham Naidu Kollu; Vijayaraj Janarthanan; Muthulakshmi Karupusamy; Manikandan Ramachandran (Data, 2023)

An Edge-AI-Enabled Autonomous Connected Ambulance-Route Resource Recommendation Protocol (ACA-R3) for eHealth in Smart Cities. - Syed Thouheed Ahmed; Syed Muzamil Basha; Manikandan Ramachandran; Mahmoud Daneshmand; Amir H. Gandomi (IEEE Internet Things J., 2023)