Shoffi Izza Sabilla

According to our database, Shoffi Izza Sabilla authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Augmented Data Low Confidence (ADLC): A Confidence-Driven Data Augmentation Framework With Ensemble Optimization for Enhanced Machine Learning Performance.

Dwi Sunaryono, Riyanarto Sarno, Shoffi Izza Sabilla, Rizqy Ahsana Putri, Taufiq Choirul Amri, Irfan Mirda, Joko Siswantoro

IEEE Access, 2025

2022

The dataset for pork adulteration from electronic nose system.

Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla

Dataset, May, 2022

The effect of gas concentration on detection and classification of beef and pork mixtures using E-nose.

Sulaiman Wakhid, Riyanarto Sarno, Shoffi Izza Sabilla

Comput. Electron. Agric., 2022

Detection of Infectious Respiratory Disease Through Sweat From Axillary Using an E-Nose With Stacked Deep Neural Network.

Malikhah, Riyanarto Sarno, Sozo Inoue, M. Syauqi Hanif Ardani, Doni Putra Purbawa, Shoffi Izza Sabilla, Kelly Rossa Sungkono, Chastine Fatichah, Dwi Sunaryono, Arief Bakhtiar, Libriansyah, Cita R. S. Prakoeswa, Damayanti Tinduh, Yetti Hernaningsih

IEEE Access, 2022

2020

Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System.

Riyanarto Sarno, Kuwat Triyana, Shoffi Izza Sabilla, Dedy Rahman Wijaya, Dwi Sunaryono, Chastine Fatichah

IEEE Access, 2020