Advanced Structures & Composites Center

Research Area:  Industry 4.0

Publications:

Title	Publication Date	Publication Name	Author(s)	Research Area(s)	Keywords
In-situ particle analysis with heterogeneous background: a machine learning approach	2024	Scientific Reports	Adeeb Ibne Alam Md Hazifur Rahman, Akhter Zia Nate Lowry Prabuddha Chakraborty Md Rafiul Hassan Bashir Khoda	Industry 4.0	Heterogeneous image Image processing Particle detection with deep learning Particle entrainment YOLO
A Self-Aware Digital Memory Framework Powered by Artificial Intelligence	2024	IEEE Transactions on Artificial Intelligence	Prabuddha Chakraborty Swarup Bhunia	Industry 4.0	artificial intelligence image edge detection internet-of-things memory management organizations self-aware surveillance wildlife
Learning Your Lock: Exploiting Structural Vulnerabilities in Logic Locking	2024	IEEE Design & Test	Prabhuddha Chakraborty Jonathan Cruz Rasheed Almawzan Tanzim Mahfuz Swarup Bhunia	Industry 4.0
Hardware Specification Aware Timing Side Channel Security Analysis	2023	IEEE Xplore	Prabhuddha Chakraborty Tasneem Suha Swarup Bhunia	Industry 4.0	code repair Couplings Engineering hardware maintenance Side-channel attacks Smart cities software Threat modeling timing side channel analysis
FAST 3-D EUCLIDEAN CONNECTED COMPONENTS	2022		Landis, E. N. Franklin, R. Magalhães, S.	Industry 4.0	algorithm computer implementation
Towards a cellulose-based society: Opportunities and challenges	2021	Cellulose	Wang, J. Wang, L. Gardner, D. J. Shaler, S. Cai, Z.	Industry 4.0	Composite Materials Nanocellulose
Electric Vehicle and Renewable Energy Sources: Motor Fusion in the Energy Transition from a Multi-Indicator Perspective	2021	Sustainability	Gil-Garcia, I. Garcia-Cascales, M. S. Dagher, H. Molina-Garcia, A.	Industry 4.0	electric vehicles energy transitions
An In situ microtomography study of split cylinder fracture in cement-based materials	2014	Experimental Mechanics	de Wolski, S. C. Bolander, J. E. Landis, E. N.	Industry 4.0	cement-based materials microtomography strength