Identification and red blood cell classification using computer aided system to diagnose blood disorders. - Vasundhara Acharya; Preetham Kumar (ICACCI, 2017)

Enhanced Authentication and Key Agreement Mechanism Using PKI. - Krishna Prakasha; Pratheeksha Gowda; Vasundhara Acharya; Balachandra Muniyal; Mayank Khandelwal (ATIS, 2018)

Segmentation of Pap Smear Images to Diagnose Cervical Cancer Types and Stages. - Vasundhara Acharya; Preetham Kumar (ICACCI, 2018)

A Novel Secret Key Exchange Mechanism for Secure Communication and Data Transfer in Symmetric Cryptosystems. - Krishna Prakasha; Rachana Kalkur; Vasundhara Acharya; Balachandra Muniyal; Mayank Khandelwal (SSCC, 2018)

Efficient digital certificate verification in wireless public key infrastructure using enhanced certificate revocation list. - Krishna Prakasha; Balachandra Muniyal; Vasundhara Acharya; Suyash Krishna; Smriti Prakash (Inf. Secur. J. A Glob. Perspect., 2018)

Identification and red blood cell automated counting from blood smear images using computer-aided system. - Vasundhara Acharya; Preetham Kumar (Medical Biol. Eng. Comput., 2018)

Nucleus Segmentation from Microscopic Bone Marrow Image. - Shilpa; Rajesh Gopakumar; Vasundhara Acharya (ICACIE (1), 2019)

Automated User Authentication in Wireless Public Key Infrastructure for Mobile Devices Using Aadhar Card. - Krishna Prakasha; Balachandra Muniyal; Vasundhara Acharya (IEEE Access, 2019)

Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms. - Vasundhara Acharya; Preetham Kumar (Medical Biol. Eng. Comput., 2019)

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

Detection of Malpractice in E-exams by Head Pose and Gaze Estimation. - Chirag S. Indi; Varun Pritham; Vasundhara Acharya; Krishna Prakasha (Int. J. Emerg. Technol. Learn., 2021)

Landslide Likelihood Prediction using Machine Learning Algorithms. - Vasundhara Acharya; Anindita Ghosh; Inwon Kang; Thilanka Munasinghe; K. C. Binita (IEEE Big Data, 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)

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)

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)

Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network. - Vasundhara Acharya; Diana Choi; Bülent Yener; Gillian Beamer (IEEE Access, 2024)

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