Bobby K. Pappachan

An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0

Tomi Wijaya, Daryl Lee, Tegoeh Tjahjowidodo, 2018, Applied Sciences.

Analysis of Contact Conditions Based on Process Parameters in Robotic Abrasive Belt Grinding Using Dynamic Pressure Sensor

Tegoeh Tjahjowidodo, Wahyu Caesarendra, Bobby K. Pappachan, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Adaptive neuro-fuzzy inference system for deburring stage classification and prediction for indirect quality monitoring

Tegoeh Tjahjowidodo, Wahyu Caesarendra, Bobby K. Pappachan, 2018, Appl. Soft Comput..

Parameter Prediction Using Machine Learning in Robot-Assisted Finishing Process

Tegoeh Tjahjowidodo, Bobby K. Pappachan, 2020 .

Event Classification from Sensor Data using Spectral Analysis in Robotic Finishing Processes

Tegoeh Tjahjowidodo, Bobby K. Pappachan, Tomi WIjaya, 2017, SENSORNETS.

Frequency Domain Analysis of Sensor Data for Event Classification in Real-Time Robot Assisted Deburring

Tegoeh Tjahjowidodo, Wahyu Caesarendra, Bobby K. Pappachan, 2017, Sensors.

Adaptation to Industry 4.0 Using Machine Learning and Cloud Computing to Improve the Conventional Method of Deburring in Aerospace Manufacturing Industry

Wahyu Caesarendra, Bobby K. Pappachan, Tomi Wijaya, 2019, 2019 12th International Conference on Information & Communication Technology and System (ICTS).

Fuzzy inference system based intelligent sensor fusion for estimation of surface roughness in machining process

Tegoeh Tjahjowidodo, Bobby K. Pappachan, Ranjit Kumar Barai, 2015, 2015 9th International Conference on Sensing Technology (ICST).

Elbow Motion Trajectory Prediction Using a Multi-Modal Wearable System: A Comparative Analysis of Machine Learning Techniques

Domenico Campolo, Bobby K. Pappachan, Dino Accoto, 2021, Sensors.