A Qualitative Study on the Adoption of Open Source Software in Information Technology Outsourcing Organizations. - Lakshmanan Ramanathan; Sundaresan Krishnan Iyer (OSS, 2015)

An empirical investigation into the adoption of open source software in Information Technology outsourcing organizations. - Lakshmanan Ramanathan; Sundaresan Krishnan Iyer (J. Syst. Inf. Technol., 2015)

Cluster-based distributed architecture for prediction of student's performance in higher education. - Lakshmanan Ramanathan; G. Parthasarathy; K. Vijayakumar; L. Lakshmanan; S. Ramani (Clust. Comput., 2019)

Chat-bot-based natural language interface for blogs and information networks. - M. Poongodi; V. Vijayakumar 002; Lakshmanan Ramanathan; Xiao-Zhi Gao 001; Vaibhav Bhardwaj; Tanay Agarwal (Int. J. Web Based Communities, 2019)

Recommendation model based on trust relations & user credibility. - M. Poongodi; V. Vijayakumar 002; Bharat S. Rawal; Vaibhav Bhardwaj; Tanay Agarwal; Ankit Jain; Lakshmanan Ramanathan; V. P. Sriram (J. Intell. Fuzzy Syst., 2019)

K-means Under-Sampling for Hypertension Prediction using NHANES Dataset. - Dwivedi Kajal; Lakshmanan Ramanathan; Regunathan Rajeshkannan (Int. J. Perform. Eng., 2021)

Preface. - Lakshmanan Ramanathan (J. Inf. Knowl. Manag., 2021)

Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities. - Jie Chen; Lakshmanan Ramanathan; Mamoun Alazab (Microprocess. Microsystems, 2021)

Chicken swarm foraging algorithm for big data classification using the deep belief network classifier. - R. Sathyaraj; Lakshmanan Ramanathan; K. Lavanya; Balasubramanian V; J. Saira Banu (Data Technol. Appl., 2021)

Data Analysis and Interpretation in IoT-Based Systems for Critical Medical Services and Healthcare Applications. - Aanshi Rustagi; Mansi Shukla; F. C. D. Samuel; Ananda Kumar Subramanian; Amit Banerjee; Sangeetha Ramaswamy; Lakshmanan Ramanathan (Wirel. Pers. Commun., 2021)

Real Time Digital Face Mask Detection using MobileNet-V2 and SSD with Apache Spark. - K. Lavanya; Smrithi Prakash; Yash Gedam; Altamash Aijaz; Lakshmanan Ramanathan (Int. J. Perform. Eng., 2022)

Real-Time Heuristic-Based Detection of Attacks Performed on a Linux Machine Using Osquery. - Sarfaraz Ahamed; Lakshmanan Ramanathan (SN Comput. Sci., 2022)

Study of Evolutionary Algorithms for Multi-objective Optimization. - Rama Gaikwad; Lakshmanan Ramanathan (SN Comput. Sci., 2022)

IoT for Health Monitoring System Based on Machine Learning Algorithm. - S. Balakrishnan; K. Suresh Kumar; Lakshmanan Ramanathan; S. K. Muthusundar (Wirel. Pers. Commun., 2022)

QCNN_BaOpt: Multi-Dimensional Data-Based Traffic-Volume Prediction in Cyber-Physical Systems. - Ramesh Sneka Nandhini; Lakshmanan Ramanathan (Sensors, 2023)

AACO: Aquila Anti-Coronavirus Optimization-Based Deep LSTM Network for Road Accident and Severity Detection. - Pendela Kanchanamala; Ramanathan Lakshmanan; B. Muthu Kumar; Balajee Maram (Int. J. Pattern Recognit. Artif. Intell., 2023)

ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection. - G. Nirmalapriya; Balajee Maram; Ramanathan Lakshmanan; M. Navaneethakrishnan (Comput. Secur., 2023)

A novel ensemble learning approach for fault detection of sensor data in cyber-physical system. - Ramesh Sneka Nandhini; Ramanathan Lakshmanan (J. Intell. Fuzzy Syst., 2023)

Multimodal healthcare data classification with Tangent Namib Beetle Optimization based routing in blockchain based IoT. - Lakshmanan Ramanathan; Sarojini Balakrishnan; Anand Mahendran; Ananda Kumar Subramanian (Comput. Electr. Eng., 2024)

Recurrent Shephard convolutional neural network for heart disease prediction in spark framework. - Jayasri Kotti; Jamal Mohammed Saira Banu; Ramanathan Lakshmanan (Int. J. Ad Hoc Ubiquitous Comput., 2024)

Hybrid fuzzy-based Shepard convolutional maxout network-based skin cancer detection. - Pakutharivu Panneerselvam; Santhi Krishnan; Chellatamilan Thiyagarajan; Ramanathan Lakshmanan (Int. J. Ad Hoc Ubiquitous Comput., 2025)