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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization.
US Microelectronics Packaging Ecosystem: Challenges and Opportunities
The existing research raises the possible security threats in the advanced packaging supply chain, as most of the Outsourced Semiconductor Assembly and Test (OSAT) facilities/vendors are offshore.
In-Situ Thickness Measurement of Die Silicon Using Voltage Imaging for Hardware Assurance
Therefore, it is critical to evaluate the thickness of the layers to be removed in a real-time fashion.
Framework for Automatic PCB Marking Detection and Recognition for Hardware Assurance
A Bill of Materials (BoM) is a list of all components on a printed circuit board (PCB).
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety.
EVHA: Explainable Vision System for Hardware Testing and Assurance -- An Overview
The system output is determination of IC status in terms of having any defect and/or hardware Trojan through addition, deletion, or change in the design cells at the cell-level.
PCB Component Detection using Computer Vision for Hardware Assurance
Though there are many existing PCB assurance methods using image processing, computer vision (CV), and machine learning (ML), the PCB field is complex and increasingly evolving so new techniques are required to overcome the emerging problems.
FPIC: A Novel Semantic Dataset for Optical PCB Assurance
Outsourced printed circuit board (PCB) fabrication necessitates increased hardware assurance capabilities.
Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images
In this paper, we introduce an algorithm to segment out Integrated Circuit (IC) structures from the SEM image.
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives
In the context of hardware trust and assurance, reverse engineering has been often considered as an illegal action.
