Region based find and spray scheme for co-operative data communication in vehicular cyber-physical systems. - Chinnasamy Poongodi; J. Premalatha; Lalitha Krishnasamy; Vijay Anand D (Intell. Autom. Soft Comput., 2017)

GCCR: An Efficient Grid Based Clustering and Combinational Routing in Wireless Sensor Networks. - Lalitha Krishnasamy; R. Thangarajan; Siba K. Udgata; Chinnasamy Poongodi; Ambika Prasad Sahu (Wirel. Pers. Commun., 2017)

A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks. - Lalitha Krishnasamy; Rajesh Kumar Dhanaraj; Ganesh Gopal Deverajan; Thippa Reddy Gadekallu; Mohamed K. Aboudaif; Emad S. Abouel Nasr (Sensors, 2020)

Multi-Disease Classification Model Using Strassen's Half of Threshold (SHoT) Training Algorithm in Healthcare Sector. - Manjula Devi Ramasamy; Keerthika Periasamy; Lalitha Krishnasamy; Rajesh Kumar Dhanaraj; Seifedine Nimer Kadry; Yunyoung Nam (IEEE Access, 2021)

Multi-objective based deployment of throwboxes in Delay Tolerant Networks for the Internet of Things environment. - Poongodi Chinnasamy; Siba Kumar Udgata; Lalitha Krishnasamy; Jeevanantham A (Evol. Intell., 2021)

Black-Hole Attack Mitigation in Medical Sensor Networks Using the Enhanced Gravitational Search Algorithm. - Rajesh Kumar Dhanaraj; Rutvij H. Jhaveri; Lalitha Krishnasamy; Gautam Srivastava 001; Praveen Kumar Reddy Maddikunta (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Hybrid and dynamic clustering based data aggregation and routing for wireless sensor networks. - Rajesh Kumar Dhanaraj; Lalitha Krishnasamy; S. Anitha; Supriya Khaitan; Punit Gupta; Mayank Kumar Goyal (J. Intell. Fuzzy Syst., 2021)

A geodesic deployment and radial shaped clustering (RSC) algorithm with statistical aggregation in sensor networks. - Lalitha Krishnasamy; Thangarajan Ramasamy; Rajesh Kumar Dhanaraj; Poongodi Chinnasamy (Turkish J. Electr. Eng. Comput. Sci., 2021)

Stochastic Learning-Based Artificial Neural Network Model for an Automatic Tuberculosis Detection System Using Chest X-Ray Images. - Shabana Urooj; S. Suchitra; Lalitha Krishnasamy; Neelam Sharma; Nitish Pathak (IEEE Access, 2022)

TSM: A Cloud Computing Task Scheduling Model. - G. K. Kamalam; Nusrat Hamid Shah; Lalitha Krishnasamy; Manjunatha Swamy C; Laxmi Kumari Pathak; P. Vanitha (IC3I, 2023)

Identification of Cyberbullying and Finding Target User's Intention on Public Forums. - Lalitha Krishnasamy; Kiruthika M; Manjunatha Swamy C; T. Vigneshwaran; Sharon Roji Priya C; Vijay Anand D (IC3I, 2023)

An Enhanced Data-Driven Weather Forecasting using Deep Learning Model. - Lalitha Krishnasamy; Vijay Anand D; T. Vigneshwaran; Laxmi Kumari Pathak; S. Maheswaran 001 (ICCCNT, 2023)

Efficient Lung Cancer Classification on Multi level Convolution Neural Network using Histopathological Images. - Ramesh M; S. Maheswaran 001; Theivanayaki S; Kodeeswari K; Lalitha Krishnasamy; Sriram N (ICCCNT, 2023)

A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks. - M. Jeyaselvi; Rajesh Kumar Dhanaraj; M. Sathya; Fida Hussain Memon; Lalitha Krishnasamy; Kapal Dev; Wang Ziyue; Nawab Muhammad Faseeh Qureshi (Clust. Comput., 2023)

A deep learning-based early alzheimer's disease detection using magnetic resonance images. - S. Suchitra; Lalitha Krishnasamy; R. J. Poovaraghan (Multim. Tools Appl., 2025)