Search Results - "Rustad, Supriadi"

Maximizing complex features to minimize the detectability of content-adaptive steganography.

Authors: Setiadi, De Rosal Ignatius Moses Rustad, Supriadi Andono, Pulung Nurtantio et al.

Source: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23813-23831, 19p

Investigation of corrosion Inhibition capability of ionic liquid: a machine learning approach.

Authors: Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno et al.

Source: Brazilian Journal of Chemical Engineering. Jun2026, Vol. 43 Issue 2, p861-880. 20p.

A Transfer Learning-Based Hybrid Deep Learning Framework for Multi-Crop Plant Leaf Disease Classification.

Authors: Anton Rustad, Supriadi Shidik, Guruh Fajar et al.

Source: Ingénierie des Systèmes d'Information. Feb2026, Vol. 31 Issue 2, p357-369. 13p.

Investigation of Corrosion Inhibition Capability of Pyridazine Compounds via Ensemble Learning.

Authors: Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno

Source: Journal of Materials Engineering & Performance; Jul2025, Vol. 34 Issue 14, p14948-14962, 15p

Performance Evaluation of Text Embedding Models for Ambiguity Classification in Indonesian News Corpus: A Comparative Study of TF-IDF, Word2Vec, FastText BERT, and GPT.

Authors: Sutriawan Rustad, Supriadi Shidik, Guruh Fajar et al.

Source: Ingénierie des Systèmes d'Information. Jun2025, Vol. 30 Issue 6, p1469-1482. 14p.

SMOTE-ENN Resampling to Optimize Diabetes Prediction in Imbalanced Data.

Authors: Setiawan, Agustinus Eko Rustad, Supriadi Syukur, Abdul et al.

Source: Ingénierie des Systèmes d'Information. May2025, Vol. 30 Issue 5, p1163-1176. 14p.

Graded fuzzy edge detection for imperceptibility optimization of image steganography.

Authors: Setiadi, De Rosal Ignatius Moses Rustad, Supriadi Andono, Pulung Nurtantio et al.

Source: Imaging Science Journal. Sep2024, Vol. 72 Issue 6, p693-705. 13p.

A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors.

Authors: Trisnapradika, Gustina Alfa Akrom, Muhamad Rustad, Supriadi et al.

Source: Theoretical Chemistry Accounts: Theory, Computation, & Modeling. Jan2025, Vol. 144 Issue 1, p1-14. 14p.

Phishing Detection Using Random Forest-Based Weighted Bootstrap Sampling and LASSO+ Feature Selection.

Authors: Sarasjati, Wendy Rustad, Supriadi Purwanto et al.

Source: International Journal of Safety & Security Engineering; Dec2024, Vol. 14 Issue 6, p1783-1794, 12p

SMILES-based machine learning enables the prediction of corrosion inhibition capacity.

Authors: Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno

Source: MRS Communications; Jun2024, Vol. 14 Issue 3, p379-387, 9p

Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy.

Authors: Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno et al.

Source: Expert Systems with Applications; Apr2026, Vol. 304, pN.PAG-N.PAG, 1p

A machine learning approach for corrosion small datasets.

Authors: Sutojo, Totok Rustad, Supriadi Akrom, Muhamad et al.

Source: NPJ Materials Degradation; 3/17/2023, Vol. 7 Issue 1, p1-10, 10p

Machine learning for pyrimidine corrosion inhibitor small dataset.

Authors: Herowati, Wise Prabowo, Wahyu Aji Eko Akrom, Muhamad et al.

Source: Theoretical Chemistry Accounts: Theory, Computation, & Modeling. Aug2024, Vol. 143 Issue 8, p1-11. 11p.

SMILES-driven machine learning for high-throughput investigation of anti-corrosion materials.

Authors: Akrom, Muhamad Al Azies, Harun Herowati, Wise et al.

Source: Chemometrics & Intelligent Laboratory Systems; Aug2025, Vol. 263, pN.PAG-N.PAG, 1p

Predicting lattice constant in ABX3 perovskite via quantum machine learning.

Authors: Akrom, Muhamad Rustad, Supriadi Andono, Pulung Nurtantio et al.

Source: Computational Materials Science; May2025, Vol. 253, pN.PAG-N.PAG, 1p

Quantum machine learning for ABO3 perovskite structure prediction.

Authors: Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno et al.

Source: Computational Materials Science; Feb2025, Vol. 250, pN.PAG-N.PAG, 1p

Digital image steganography survey and investigation (goal, assessment, method, development, and dataset).

Authors: Setiadi, De Rosal Ignatius Moses Rustad, Supriadi Andono, Pulung Nurtantio et al.

Source: Signal Processing; May2023, Vol. 206, pN.PAG-N.PAG, 1p