Advances in Computational Design

CONTENTS

Volume 11, Number 1, 2026

• Implementing LSTM-RNN for improved diabetic dataset classification

  Wasim Raja, Chandraprabha K., V. Ruckmani and S. Gowri

  Abstract | Full Text (2K)

  pages 1-16.

  DOI: 10.12989/acd.2026.11.1.001

• Enhanced detection of leiomyosarcoma using opsit and LSTM-GRNN for improved medical image analysis

  G. Petchinathan, Parveen Begam Abdul Kareem, Shanmugaraja P., Anita Venaik and Selva Lakshmi C.B.

  Abstract | Full Text (2K)

  pages 17-32.

  DOI: 10.12989/acd.2026.11.1.017

• Implementation and performance evaluation of PAS-X MES in GMP-regulated pharmaceutical manufacturing

  Sahana Vasudev

  Abstract | Full Text (1K)

  pages 33-45.

  DOI: 10.12989/acd.2026.11.1.033

• Balancing patient privacy and predictive accuracy through data anonymization in healthcare

  Prem Kumar M., Archana Bhat, Macherla Bhagyalakshmi, Nikila G.S.

  Abstract | Full Text (2K)

  pages 47-62.

  DOI: 10.12989/acd.2026.11.1.047

• Electronic health records (EHRs) in chronic kidney disease classification using LSTM

  Pradeep Balaji B., Gayathri M., Deepika Sirmoria, Job Prasanth Kumar Chinta Kunta

  Abstract | Full Text (1K)

  pages 63-77.

  DOI: 10.12989/acd.2026.11.1.063

• A data-driven approach to predicting breast cancer recurrence with hybrid machine learning models

  Deepa B.G., Velmurugan R., Narender M., Suhaas K.P

  Abstract | Full Text (2K)

  pages 79-96.

  DOI: 10.12989/acd.2026.11.1.079