AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages. - Shriya Se; R. Vinayakumar; M. Anand Kumar; K. P. Soman (MIKE, 2015)

AMRITA - CEN@NEEL: Identification and Linking of Twitter Entities. - Barathi Ganesh H. B.; Abinaya N.; M. Anand Kumar; Vinaykumar R.; K. P. Soman (#MSM, 2015)

NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. - Barathi Ganesh H. B.; R. Vinayakumar; M. Anand Kumar; K. P. Soman (SMM4H@AMIA, 2017)

Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning. - Rahul Krishnan Pathinarupothi; Vinaykumar R.; Ekanath Rangan; E. Gopalakrishnan; K. P. Soman (BHI, 2017)

Stock price prediction using LSTM, RNN and CNN-sliding window model. - Sreelekshmy Selvin; R. Vinayakumar; E. A. Gopalakrishnan; Vijay Krishna Menon; K. P. Soman (ICACCI, 2017)

Long short-term memory based operation log anomaly detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Evaluating shallow and deep networks for secure shell (ssh)traffic analysis. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Deep encrypted text categorization. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Applying convolutional neural network for network intrusion detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Evaluating effectiveness of shallow and deep networks to intrusion detection system. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Deep android malware detection and classification. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Applying deep learning approaches for network traffic prediction. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Evaluating shallow and deep networks for ransomware detection and classification. - R. Vinayakumar; K. P. Soman; K. K. Senthil Velan; Shaunak Ganorkar (ICACCI, 2017)

Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning. - Rahul Krishnan Pathinarupothi; Dhara Prathap J; Ekanath Srihari Rangan; E. Gopalakrishnan; Vinaykumar R.; Soman K. P (ICHI, 2017)

Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017. - R. Vinayakumar; S. Sachin Kumar; B. Premjith; Prabaharan Poornachandran; Soman Kotti Padannayil (IberEval@SEPLN, 2017)

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets. - R. Vinayakumar; B. Premjith; S. Sachin Kumar; K. P. Soman; Prabaharan Poornachandran (WASSA@EMNLP, 2017)

Deep Health Care Text Classification. - R. Vinayakumar; Barathi Ganesh H. B.; M. Anand Kumar; K. P. Soman (CoRR, 2017)

Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Int. J. Inf. Syst. Model. Des., 2017)

Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. - Rahul-Vigneswaran K; R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICCCNT, 2018)

Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks. - Anu Vazhayil; R. Vinayakumar; K. P. Soman (ICCCNT, 2018)

CT-Blocks: Learning Computational Thinking by Snapping Blocks. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

Alg-Design: Facilitates to Learn Algorithmic Thinking for Beginners. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

CT-Blocks Analyser: Analysing CT-Blocks Projects. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

Building-Blocks: Generating 3D Design by Snapping Blocks. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

Fractal Geometry: Enhancing Computational Thinking with MIT Scratch. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks. - R. Vinayakumar; K. P. Soman; Pradeep Menon (ICCCNT, 2018)

S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. - Vysakh S. Mohan; R. Vinayakumar; Soman K. P; Prabaharan Poornachandran (IEEE Symposium on Security and Privacy Workshops, 2018)

DeepProteomics: Protein family classification using Shallow and Deep Networks. - Anu Vazhayil; Vinaykumar R.; Soman K. P (CoRR, 2018)

DeepImageSpam: Deep Learning based Image Spam Detection. - Amara Dinesh Kumar; R. Vinayakumar; K. P. Soman (CoRR, 2018)

A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities. - Amara Dinesh Kumar; Koti Naga Renu Chebrolu; R. Vinayakumar; Soman K. P (CoRR, 2018)

Deep-Net: Deep Neural Network for Cyber Security Use Cases. - R. Vinayakumar; Barathi Ganesh HB; Prabaharan Poornachandran; Anand Kumar M; Soman K. P (CoRR, 2018)

A short review on Applications of Deep learning for Cyber security. - Mohammed Harun Babu R; R. Vinayakumar; Soman K. P (CoRR, 2018)

Diabetes detection using deep learning algorithms. - Swapna G.; Vinayakumar R.; Soman K. P. (ICT Express, 2018)

DeepMalNet: Evaluating shallow and deep networks for static PE malware detection. - Vinayakumar R.; Soman K. P. (ICT Express, 2018)

Evaluating deep learning approaches to characterize and classify malicious URL's. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (J. Intell. Fuzzy Syst., 2018)

Detecting malicious domain names using deep learning approaches at scale. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (J. Intell. Fuzzy Syst., 2018)

Evaluating deep learning approaches to characterize and classify the DGAs at scale. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; S. Sachin Kumar (J. Intell. Fuzzy Syst., 2018)

Detecting Android malware using Long Short-term Memory (LSTM). - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; S. Sachin Kumar (J. Intell. Fuzzy Syst., 2018)

Ransomware Triage Using Deep Learning: Twitter as a Case Study. - Vinayakumar R.; Mamoun Alazab; Alireza Jolfaei; Soman K. P.; Prabaharan Poornachandran (CCC, 2019)

Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning. - Naveenkumar K. S; R. Vinayakumar; K. P. Soman (ICCCNT, 2019)

Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. - K. Simran; Prathiksha Balakrishna; R. Vinayakumar; K. P. Soman (SSCC, 2019)

Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment. - S. Sriram; K. Simran; R. Vinayakumar; S. Akarsh; K. P. Soman (SSCC, 2019)

Deep Learning Approach for Intelligent Intrusion Detection System. - R. Vinayakumar; Mamoun Alazab; K. P. Soman; Prabaharan Poornachandran; Ameer Al-Nemrat; Sitalakshmi Venkatraman (IEEE Access, 2019)

Robust Intelligent Malware Detection Using Deep Learning. - R. Vinayakumar; Mamoun Alazab; K. P. Soman; Prabaharan Poornachandran; Sitalakshmi Venkatraman (IEEE Access, 2019)

A Deep Learning Approach for Similar Languages, Varieties and Dialects. - Vidya Prasad K; Akarsh S; R. Vinayakumar; Soman K. P (CoRR, 2019)

Emotion Detection using Data Driven Models. - Naveenkumar K. S; R. Vinayakumar; Soman K. P (CoRR, 2019)

RNNSecureNet: Recurrent neural networks for Cyber security use-cases. - Mohammed Harun Babu R; R. Vinayakumar; Soman K. P (CoRR, 2019)

Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network. - Shisrut Rawat; Aishwarya Srinivasan; Vinayakumar R. (CoRR, 2019)

A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Int. J. Digit. Crime Forensics, 2019)

A hybrid deep learning image-based analysis for effective malware detection. - Sitalakshmi Venkatraman; Mamoun Alazab; R. Vinayakumar (J. Inf. Secur. Appl., 2019)

ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; Vysakh S. Mohan; Amara Dinesh Kumar (J. Cyber Secur. Mobil., 2019)

Deep rectified system for high-speed tracking in images. - Vysakh S. Mohan; R. Vinayakumar; V. Sowmya 001; K. P. Soman (J. Intell. Fuzzy Syst., 2019)

DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Handbook of Computer Networks and Cyber Security, 2020)

Network Flow based IoT Botnet Attack Detection using Deep Learning. - Sriram S; Vinayakumar R.; Mamoun Alazab; K. P. Soman (INFOCOM Workshops, 2020)

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network. - Sriram S; Vinayakumar R.; V. Sowmya 001; Mamoun Alazab; K. P. Soman (INFOCOM Workshops, 2020)

Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security. - Simran K; Sriram S; Vinayakumar R.; K. P. Soman (CoRR, 2020)

Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis. - Simran K; Prathiksha Balakrishna; Vinayakumar R.; Soman K. P. (CoRR, 2020)

Siamese neural network architecture for homoglyph attacks detection. - Vinayakumar R.; Soman K. P. (ICT Express, 2020)

An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document. - G. Siva Shankar; Ashokkumar Palanivinayagam; R. Vinayakumar; Uttam Ghosh; Wathiq Mansoor; Waleed S. Alnumay (Wirel. Commun. Mob. Comput., 2020)

EfficientNet-based Convolutional Neural Networks for Malware Classification. - Vasundhara Acharya; Vinayakumar Ravi; Nazeeruddin Mohammad (ICCCNT, 2021)

Robust Malware Detection using Residual Attention Network. - Shamika Ganesan; Vinayakumar Ravi; Moez Krichen; V. Sowmya 001; Roobaea Alroobaea; Soman K. P. (ICCE, 2021)

Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. - Rajasekhar Chaganti; Vinayakumar Ravi; Mamoun Alazab; Tuan D. Pham (CoRR, 2021)

An intrusion detection system using optimized deep neural network architecture. - Mangayarkarasi Ramaiah; Vanmathi Chandrasekaran; Vinayakumar Ravi; Neeraj Kumar 001 (Trans. Emerg. Telecommun. Technol., 2021)

REERS: Reliable and energy-efficient route selection algorithm for heterogeneous Internet of things applications. - D. Salangai Nayagi; Sivasankari G. G; Vinayakumar Ravi; K. R. Venugopal 001; Sankar Sennan (Int. J. Commun. Syst., 2021)

A self-congruence and impulse buying effect on user's shopping behaviour over social networking sites: an empirical study. - Shaifali Chauhan; Richa Banerjee; Chinmay Chakraborty; Mohit Mittal; Atul Shiva; Vinayakumar Ravi (Int. J. Pervasive Comput. Commun., 2021)

A Review on Android Malware: Attacks, Countermeasures and Challenges Ahead. - Shymalagowri Selvaganapathy; G. Sudha Sadasivam; Vinayakumar Ravi (J. Cyber Secur. Mobil., 2021)

Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer. - Wael Suliman; Vinayakumar Ravi; Bin Luo; Xiao-Feng Sun; Tuan D. Pham (IJCNN, 2022)

A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. - Rajasekhar Chaganti; Rajendra V. Boppana; Vinayakumar Ravi; Kashif Munir; Mubarak Almutairi; Furqan Rustam; Ernesto Lee; Imran Ashraf (IEEE Access, 2022)

Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system. - Vinayakumar Ravi; Rajasekhar Chaganti; Mamoun Alazab (Comput. Electr. Eng., 2022)

Hybrid optimization algorithm based feature selection for mammogram images and detecting the breast mass using multilayer perceptron classifier. - Reenadevi Rajendran; Sathiyabhama Balasubramaniam; Vinayakumar Ravi; Sankar Sennan (Comput. Intell., 2022)

A two-stage deep learning framework for image-based android malware detection and variant classification. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001; Tuan D. Pham (Comput. Intell., 2022)

Multi-objective optimization-based privacy in data mining. - Hemanta Kumar Bhuyan; Vinayakumar Ravi; M. Srikanth Yadav (Clust. Comput., 2022)

A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems. - Vinayakumar Ravi; Mamoun Alazab; Shymalagowri Selvaganapathy; Rajasekhar Chaganti (Comput. Commun., 2022)

Deep learning based cross architecture internet of things malware detection and classification. - Rajasekhar Chaganti; Vinayakumar Ravi; Tuan D. Pham (Comput. Secur., 2022)

EfficientNet convolutional neural networks-based Android malware detection. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001; Tuan D. Pham (Comput. Secur., 2022)

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. - Mredulraj S. Pandianchery; Gopalakrishnan E. A; V. Sowmya 001; Vinayakumar Ravi; Soman K. P (CoRR, 2022)

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. - Rajasekhar Chaganti; Bharat Bhushan; Vinayakumar Ravi (CoRR, 2022)

Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification. - Vinayakumar Ravi; Vasundhara Acharya; Tuan D. Pham (Expert Syst. J. Knowl. Eng., 2022)

A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays. - Vinayakumar Ravi; Harini Narasimhan; Tuan D. Pham (Expert Syst. J. Knowl. Eng., 2022)

A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. - Vidhushavarshini Sureshkumar; Sathiyabhama Balasubramaniam; Vinayakumar Ravi; Ajay Arunachalam (Expert Syst. J. Knowl. Eng., 2022)

Odonata identification using Customized Convolutional Neural Networks. - Hari Theivaprakasham; S. Darshana; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman (Expert Syst. Appl., 2022)

Improving routing disruption attack detection in MANETs using efficient trust establishment. - K. Anish Pon Yamini; Jesmitha Stephy; K. Suthendran 001; Vinayakumar Ravi (Trans. Emerg. Telecommun. Technol., 2022)

Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. - Rajasekhar Chaganti; Vijayakumar Varadarajan 001; Venkata Subbarao Gorantla; Thippa Reddy Gadekallu; Vinayakumar Ravi (Future Internet, 2022)

A dual-band circular patch antenna using hexagon-shaped slots. - Thiyagarajan Krishnan; Sankar Sennan; Vinayakumar Ravi; Dwarakacharla Harshavardhan reddy (Int. J. Commun. Syst., 2022)

Neighborhood rough set-based route selection for mobile ad hoc networks. - Tharuman Sudhakar; Sethuraman Sambath Kumar; Vinayakumar Ravi; Rajakumar Ramalingam; Sonu Dua (Int. J. Commun. Syst., 2022)

A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter. - Mourad Ellouze; Seifeddine Mechti; Moez Krichen; Vinayakumar Ravi; Lamia Hadrich Belguith (Int. J. Comput. Sci. Eng., 2022)

LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge. - Narayanavadivoo Gopinathan Bhuvaneswari Amma; Velliangiri Sarveshwaran; Vinayakumar Ravi; Rajasekhar Chaganti (Inf., 2022)

Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks. - Vinayakumar Ravi; Rajasekhar Chaganti; Mamoun Alazab (IEEE Internet Things Mag., 2022)

Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification. - Rajasekhar Chaganti; Vinayakumar Ravi; Tuan D. Pham (J. Inf. Secur. Appl., 2022)

Network traffic anomaly detection using PCA and BiGAN. - Rajlaxmi Patil; Rajshekhar Biradar; Vinayakumar Ravi; Poornima Biradar; Uttam Ghosh (Internet Technol. Lett., 2022)

Intrusion detection systems using classical machine learning techniques vs integrated unsupervised feature learning and deep neural network. - Shisrut Rawat; Aishwarya Srinivasan; Vinayakumar Ravi; Uttam Ghosh (Internet Technol. Lett., 2022)

Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. - Vinayakumar Ravi; Harini Narasimhan; Chinmay Chakraborty; Tuan D. Pham (Multim. Syst., 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)

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. - Ganesh Kumar M; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P; Chinmay Chakraborty (Multim. Tools Appl., 2022)

DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection. - Golla Madhu; A. Govardhan 001; Vinayakumar Ravi; Sandeep Kautish; B. Sunil Srinivas; Tanupriya Chaudhury; Manoj Kumar 009 (Multim. Tools Appl., 2022)

Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN. - Malathy Sathyamoorthy; Sangeetha Kuppusamy; Rajesh Kumar Dhanaraj; Vinayakumar Ravi (Wirel. Pers. Commun., 2022)

New Approach for Advanced Energy Efficiency in MANET (AEE-M) by Improving Optimized Link State Routing Protocol Version 2 (OLSRv2). - K. Anish Pon Yamini; K. Suthendran 001; T. Arivoli 001; Vinayakumar Ravi (Wirel. Pers. Commun., 2022)

A Retrospective Study on Classifying Gait Signals Using Entropy Measures. - Wael Suliman; Vinayakumar Ravi; Tuan D. Pham (TENCON, 2023)

Unsupervised Deep Learning Approach for In-Vehicle Intrusion Detection System. - Harini Narasimhan; Vinayakumar Ravi; Nazeeruddin Mohammad (IEEE Consumer Electron. Mag., 2023)

A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions. - Rajasekhar Chaganti; Bharat Bhushan; Vinayakumar Ravi (Comput. Commun., 2023)

A robust malware traffic classifier to combat security breaches in industry 4.0 applications. - Mangayarkarasi Ramaiah; Vanmathi Chandrasekaran; Vinayakumar Ravi (Concurr. Comput. Pract. Exp., 2023)

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. - J. Arun Prakash; CR Asswin; K. S. Dharshan Kumar; Avinash Dora; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; Soman K. P. (Eng. Appl. Artif. Intell., 2023)

CE2RV: Commissioned energy-efficient virtualization for large-scale heterogeneous wireless sensor networks. - M. Vasim Babu; Ramesh Sekaran; Suthendran Kannan; Vinayakumar Ravi (Int. J. Commun. Syst., 2023)

Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window-based attack detection in 6G. - B. Bhuvaneshwari; Balamurugan Balusamy; Rajesh Kumar Dhanaraj; Vinayakumar Ravi (Int. J. Commun. Syst., 2023)

Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud. - Nagappan Mageshkumar; J. Swapna; A. Pandiaraj; Rajakumar Ramalingam; Moez Krichen; Vinayakumar Ravi (Int. J. Intell. Networks, 2023)

A multi-view feature fusion approach for effective malware classification using Deep Learning. - Rajasekhar Chaganti; Vinayakumar Ravi; Tuan D. Pham (J. Inf. Secur. Appl., 2023)

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures. - J. Arun Prakash; CR Asswin; Vinayakumar Ravi; V. Sowmya 001; K. P. Soman (Multim. Tools Appl., 2023)

Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia. - Vasundhara Acharya; Vinayakumar Ravi; Tuan D. Pham; Chinmay Chakraborty (IEEE Trans. Engineering Management, 2023)

Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case. - Ajay Arunachalam; Vinayakumar Ravi; Vasundhara Acharya; Tuan D. Pham (IEEE Trans. Engineering Management, 2023)

Analysis of Subfeature for Classification in Data Mining. - Hemanta Kumar Bhuyan; Vinayakumar Ravi (IEEE Trans. Engineering Management, 2023)

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P (IEEE Trans. Engineering Management, 2023)

Healthcare Applications Using Blockchain Technology: Motivations and Challenges. - Sadia Ramzan; Aqsa Aqdus; Vinayakumar Ravi; Deepika Koundal; Rashid Amin; Mohammed A. Al Ghamdi (IEEE Trans. Engineering Management, 2023)

Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning. - Vinayakumar Ravi; Mamoun Alazab; Sriram Srinivasan; Ajay Arunachalam; K. P. Soman (IEEE Trans. Engineering Management, 2023)

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001 (IEEE Trans. Engineering Management, 2023)

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks. - Rajasekhar Chaganti; Wael Suliman; Vinayakumar Ravi; Amit Dua (Inf., 2023)

Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images. - Kiran Kiran; H. L. Gururaj; Meshari Almeshari; Yasser Alzamil; Vinayakumar Ravi; K. V. Sudeesh (Inf., 2023)

Attention-based convolutional neural network deep learning approach for robust malware classification. - Vinayakumar Ravi; Mamoun Alazab (Comput. Intell., 2023)

Development of secrete images in image transferring system. - Hemanta Kumar Bhuyan; A. Vijayaraj; Vinayakumar Ravi (Multim. Tools Appl., 2023)

Fault tolerance aware workload resource management technique for real-time workload in heterogeneous computing environment. - D. Salangai Nayagi; Sivasankari G. G; Vinayakumar Ravi; K. R. Venugopal 001; Sankar Sennan (Trans. Emerg. Telecommun. Technol., 2023)

An Integrated Framework with Deep Learning for Segmentation and Classification of Cancer Disease. - Hemanta Kumar Bhuyan; Vinayakumar Ravi (Int. J. Artif. Intell. Tools, 2023)

A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images. - Vinayakumar Ravi; Vasundhara Acharya; Mamoun Alazab (Clust. Comput., 2023)

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images. - J. Arun Prakash; Vinayakumar Ravi; V. Sowmya 001; K. P. Soman (Neural Comput. Appl., 2023)

Intelligence Amplification-Based Smart Health Record Chain for Enterprise Management System. - S. Velliangiri; P. Karthikeyan 004; Vinayakumar Ravi; Meshari Almeshari; Yasser Alzamil (Inf., 2023)

Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model. - Hemanta Kumar Bhuyan; Chinmay Chakraborty; Subhendu Kumar Pani; Vinayakumar Ravi (IEEE Trans. Engineering Management, 2023)

Deep Learning-Based Network Intrusion Detection System for Internet of Medical Things. - Vinayakumar Ravi; Tuan D. Pham; Mamoun Alazab (IEEE Internet Things Mag., 2023)

Wide-ranging approach-based feature selection for classification. - Hemanta Kumar Bhuyan; M. Saikiran; Murchhana Tripathy; Vinayakumar Ravi (Multim. Tools Appl., 2023)

EfficientNet deep learning meta-classifier approach for image-based android malware detection. - Vinayakumar Ravi; Rajasekhar Chaganti (Multim. Tools Appl., 2023)

Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems. - Vinayakumar Ravi; Tuan D. Pham; Mamoun Alazab (IEEE Trans. Comput. Soc. Syst., 2023)

Bird species recognition using spiking neural network along with distance based fuzzy co-clustering. - Ricky Mohanty; Hemanta Kumar Bhuyan; Subhendu Kumar Pani; Vinayakumar Ravi; Moez Krichen (Int. J. Speech Technol., 2023)

Two-stage deep learning model for automate detection and classification of lung diseases. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman; M. Rupeshkumar (Soft Comput., 2023)

Diagnosis system for cancer disease using a single setting approach. - Hemanta Kumar Bhuyan; A. Vijayaraj; Vinayakumar Ravi (Multim. Tools Appl., 2023)

Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network. - Malathy Jawahar; L. Jani Anbarasi; S. Graceline Jasmine; Febin Daya John Lionel; Vinayakumar Ravi; Prasun Chakrabarti (Multim. Tools Appl., 2023)

A novel chaotic binary butterfly optimization algorithm based feature selection model for classification of autism spectrum disorder. - Anandkumar Ramakrishnan; Rajakumar Ramalingam; Padmanaban Ramalingam; Vinayakumar Ravi; Tahani Jaser Alahmadi; Siti Sarah Maidin (Int. J. Appl. Math. Comput. Sci., 2024)

FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation. - Sharen H; Malathy Jawahar; L. Jani Anbarasi; Vinayakumar Ravi; Norah Saleh Alghamdi; Wael Suliman (Biomed. Signal Process. Control., 2024)

Genetic algorithms and deep learning for unique facial landmark-based key generation. - Sannidhan M. S; Jason Elroy Martis; K. N. Pallavi; Vinayakumar Ravi; Harinahalli Lokesh Gururaj; Tahani Jaser Alahmadi (Comput. Electr. Eng., 2024)

Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AI. - Jayanth M; Arrun Sivasubramanian; V. Sowmya 001; Vinayakumar Ravi (CoRR, 2024)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification. - Arrun Sivasubramanian; Divya Sasidharan; V. Sowmya 001; Vinayakumar Ravi (CoRR, 2024)

Optimizing energy harvesting with diversity in cooperative simultaneous wireless information and power transfer systems. - Shweta Singh 001; Rahul Kumar; S. Priya; Mridusmita Roy Choudhury; Vinayakumar Ravi; H. L. Gururaj (Int. J. Commun. Syst., 2024)

An overview of current developments and methods for identifying diabetic foot ulcers: A survey. - L. Jani Anbarasi; Malathy Jawahar; R. Beulah Jayakumari; Modigari Narendra; Vinayakumar Ravi; R. Neeraja (WIREs Data. Mining. Knowl. Discov., 2024)

Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease. - Srividhya L; V. Sowmya 001; Vinaykumar Ravi; Gopalakrishnan E. A; Soman K. P (Multim. Tools Appl., 2024)

Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India. - Mredulraj S. Pandianchery; V. Sowmya 001; E. A. Gopalakrishnan; Vinayakumar Ravi; K. P. Soman (IEEE Trans. Comput. Soc. Syst., 2024)

A Lightweight Cooperative Intrusion Detection System for RPL-based IoT. - Hanane Azzaoui; Akram Zine Eddine Boukhamla; Pericle Perazzo; Mamoun Alazab; Vinayakumar Ravi (Wirel. Pers. Commun., 2024)

Intelligent leather defect classification using Fourier angular radial partitioning algorithm with ensemble classifier. - Malathy Jawahar; L. Jani Anbarasi; S. Mahesh Anand; Vinayakumar Ravi (Multim. Tools Appl., 2024)

Deep learning-based network intrusion detection in smart healthcare enterprise systems. - Vinayakumar Ravi (Multim. Tools Appl., 2024)

Apple foliar leaf disease detection through improved capsule neural network architecture. - Sapna S; Sandhya S; Vasundhara Acharya; Vinayakumar Ravi (Multim. Tools Appl., 2024)

An efficient iterative pseudo point elimination technique to represent the shape of the digital image boundary. - Mangayarkarasi Ramaiah; Vinayakumar Ravi; Vanmathi Chandrasekaran; Vanitha Mohanraj; Deepa Mani; Angulakshmi Maruthamuthu (Multim. Tools Appl., 2024)

Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AI. - Jayanth Mohan; Arrun Sivasubramanian; V. Sowmya 001; Vinayakumar Ravi (Comput. Biol. Medicine, 2025)

A robust accent classification system based on variational mode decomposition. - Darshana Subhash; Jyothish Lal G.; B. Premjith; Vinayakumar Ravi (Eng. Appl. Artif. Intell., 2025)

Identification of Suspect Using Transformer and Cosine Similarity Model for Forensic Voice Comparison. - Kruthika S. G.; Trisiladevi C. Nagavi; P. Mahesha; Chethana H. T.; Vinayakumar Ravi; Alanoud Al Mazroa (Secur. Priv., 2025)

Comprehensive Analysis of Supervised Machine Learning Algorithms in Obfuscated Malware Detection. - Swapnil Singh; Deepa Krishnan; Pratham Dedhiya; Vinayakumar Ravi; Darshil Sanghvi; Kamakshya Nanda (Secur. Priv., 2025)

Face Recognition in Unconstrained Images Using Deep Learning Model for Forensics. - Chethana H. T.; Trisiladevi C. Nagavi; P. Mahesha; Vinayakumar Ravi; Alanoud Al Mazroa (Secur. Priv., 2025)

A High-Security Chaotic Encryption Model for Biomedical Image Protection. - Sudheesh K. V.; S. Benaka Santhosha; Kiran Puttegowda; Vinayakumar Ravi; Alanoud Al Mazroa (Secur. Priv., 2025)

FaceNet - A Framework for Age Variation Facial Digital Images. - Chethana H. T.; Trisiladevi C. Nagavi; P. Mahesha; Vinayakumar Ravi; H. L. Gururaj (EAI Endorsed Trans. Scalable Inf. Syst., 2025)

Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions- Review. - Mangayarkarasi Ramaiah; Prabhavathy Settu; Vinayakumar Ravi (WIREs Data. Mining. Knowl. Discov., 2025)

A Graded Node-Dependent Allocation Method for Energy Scavenging in Wireless Sensor Networks. - M. Vasim Babu; Ramesh Sekaran; Suthendran Kannan; Vinayakumar Ravi (Wirel. Pers. Commun., 2025)

Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images. - K. Anita Davamani; Malathy Jawahar; L. Jani Anbarasi; Vinayakumar Ravi; Alanoud Al Mazroa; Chinnanadar Ramachandran Rene Robin (Multim. Tools Appl., 2025)

A privacy preserving batch audit scheme for IoT based cloud data storage. - S. Milton Ganesh; S. Priya; Vinayakumar Ravi; Suliman A. Alsuhibany (Peer Peer Netw. Appl., 2025)

CAST2-Zone Wise Disease Outbreak Control Model for SARS-Cov 2. - P. Muthulakshmi; K. Suthendran 001; Vinayakumar Ravi (Multim. Tools Appl., 2025)

Message digest and blockchain based chaotic ordered cyber secured cloud of things for smart health care. - Ashok Kumar Munnangi; Kumaresan Maruthapillai; Sivaram Rajeyyagari; Ramesh Sekaran; Vinayakumar Ravi; Alanoud Al Mazroa (Peer Peer Netw. Appl., 2025)

A comprehensive review of lightweight blockchain practices for smart cities: a security and efficacy assessment. - Adla Padma; Mangayarkarasi Ramaiah; Vinayakumar Ravi (J. Reliab. Intell. Environ., 2025)