Reliability of self-report: paper versus online administration. - Kristine H. Luce; Andrew Winzelberg; Smita Das; Megan I. Osborne; Susan W. Bryson; C. Barr Taylor (Comput. Hum. Behav., 2007)

SPARSHA: A Low Cost Refreshable Braille for Deaf-Blind People for Communication with Deaf-Blind and Non-disabled Persons. - Ruman Sarkar; Smita Das; Sharmistha Roy (ICDCIT, 2013)

Improvisation of Biometrics Authentication and Identification through Keystrokes Pattern Analysis. - Dwijen Rudrapal; Smita Das; Swapan Debbarma (ICDCIT, 2014)

Computational geometry based coverage hole-detection and hole-area estimation in wireless sensor network. - Smita Das; Swapan Debbarma (J. High Speed Networks, 2018)

Node Position Estimation for Efficient Coverage Hole-Detection in Wireless Sensor Network. - Smita Das; Mrinal Kanti Debbarma (Computación y Sistemas, 2019)

A Review on Coverage-Hole Boundary Detection Algorithms in Wireless Sensor Networks. - Smita Das; Mrinal Kanti Debbarma (Computación y Sistemas, 2020)

A Coverage-Hole Boundary Detection Approach Based on Tree-Traversal in Wireless Sensor Networks. - Smita Das; Mrinal Kanti Debbarma (Ad Hoc Sens. Wirel. Networks, 2022)

Multiple Approaches Towards Authentication Using Keystroke Dynamics. - Aditya Arsh; Nirmalya Kar; Smita Das; Subhrajyoti Deb (ICMLDE, 2023)

FHEDA: Efficient Circuit Synthesis with Reduced Bootstrapping for Torus FHE. - Animesh Singh; Smita Das; Anirban Chakraborty 003; Rajat Sadhukhan; Ayantika Chatterjee; Debdeep Mukhopadhyay (IACR Cryptol. ePrint Arch., 2023)

CHPT: an improved coverage-hole patching technique based on tree-center in wireless sensor networks. - Smita Das; Mrinal Kanti Debbarma (J. Ambient Intell. Humaniz. Comput., 2023)

Related-Key Cryptanalysis of FUTURE. - Amit Jana; Smita Das; Ayantika Chatterjee; Debdeep Mukhopadhyay (IACR Cryptol. ePrint Arch., 2024)

A brief study of generative adversarial networks and their applications in image synthesis. - Harshad Sharma; Smita Das (Multim. Tools Appl., 2024)

Enhancing object recognition: a comprehensive analysis of CNN based deep learning models considering lighting conditions and perspectives. - Penumala Nani; Smita Das; Sayeli Dey (Evol. Intell., 2025)