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Keyword: PFA
Leveraging Machine Learning for a Comprehensive Assessment of PFAS Nephrotoxicity
Polyfluoroalkyl substances (PFAS) are persistent chemicals that accumulate in the body and environment. Although recent studies have indicated that PFAS may disrupt kidney function, the underlying mechanisms and overall effects on the organ remain unclear. Therefore, this study aims to elucidate the impact of PFAS on kidney health using machine learning techniques. Utilizing a dataset…
Read More Advanced Physical Failure Analysis Techniques for Rescuing Damaged Samples with Cracks, Scratches, or Unevenness in Delayering
This paper is an extended version of work published in IPFA 2020. In the previous paper, advanced physical failure analysis (PFA) techniques for rescuing damaged samples with cracks, scratches, or unevenness in delayering are introduced. In the present work, the techniques will be further exploited and summarized for the potential applications in general devices. The…
Read More Laser Deprocessing Technique and its Application to Physical Failure Analysis
This paper is an extension of work originally presented in IPFA 2019. In the original work, a new memory bit-counting method in physical failure analysis (PFA) using laser deprocessing technique (LDT) is introduced. In the present paper, LDT will be further exploited and the methodology applied to PFA will be fully discussed. Compared to the…
Read More Lookup Tables-based mean level detection of spatially distributed targets in non Gaussian clutter
In this paper, Constant False Alarm Rate (CFAR) detection of spatially distributed targets embedded in compound Gaussian clutter with Inverse Gamma texture is addressed. By taking into account the fact that clutter parameters are unknown in practical situations, we propose mean level based on Lookup Tables detectors, that operate as a two-step approach, which consists…
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