B. K. Pappachan

Robot control and decision making through real-time sensors monitoring and analysis for industry 4.0 implementation on aerospace component manufacturing

W. Caesarendra, T. Tjahjowidodo, T. Wijaya, 2017, 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM).

Modal analysis of replica boss hole during the deburring process in aerospace manufacturing industry

Wahyu Caesarendra, Tomi Wijaya, Tegoeh Tjahjowidodo, 2018 .

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.

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).

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.

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..

A review on sensors for real-time monitoring and control systems on machining and surface finishing processes

B. K. Pappachan, M. I. Roslan, T. Tjahjowidodo, 2018 .