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Related papers: Silicon Dating

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When developing a software system, a change in one part of the system may lead to unwanted changes in other parts of the system. These affected parts may interfere with system performance, so regression testing is used to deal with these…

Software Engineering · Computer Science 2024-05-13 Mahdi Movahedian Moghaddam

The SAMpler for PICosecond time (SAMPIC) chip has been designed by a collaboration including CEA/IRFU/SEDI, Saclay and CNRS/LAL/SERDI, Orsay. It benefits from both the quick response of a time to digital converter and the versatility of a…

The STAR Silicon Strip Detector (SSD) completes the three layers of the Silicon Vertex Tracker (SVT) to make an inner tracking system located inside the Time Projection Chamber (TPC). This additional fourth layer provides two dimensional…

Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy detection techniques do not scale for large sizes and numbers…

Databases · Computer Science 2015-03-03 Xian Li , Xin Luna Dong , Kenneth B. Lyons , Weiyi Meng , Divesh Srivastava

Many new material systems are being explored to enable smaller, more capable and energy efficient devices. These bottom up approaches for atomic and molecular electronics, quantum computation, and data storage all rely on a well-developed…

Materials Science · Physics 2020-02-11 Roshan Achal , Mohammad Rashidi , Jeremiah Croshaw , Taleana Huff , Robert A. Wolkow

The dependency on the correct functioning of embedded systems is rapidly growing, mainly due to their wide range of applications, such as micro-grids, automotive device control, health care, surveillance, mobile devices, and consumer…

Logic in Computer Science · Computer Science 2017-03-01 Lucas Cordeiro

Parametric and non-parametric classifiers often have to deal with real-world data, where corruptions like noise, occlusions, and blur are unavoidable - posing significant challenges. We present a probabilistic approach to classify strongly…

Machine Learning · Computer Science 2023-04-24 Philipp Joppich , Sebastian Dorn , Oliver De Candido , Wolfgang Utschick , Jakob Knollmüller

We present a novel deep generative semi-supervised framework for credit card fraud detection, formulated as time series classification task. As financial transaction data streams grow in scale and complexity, traditional methods often…

Machine Learning · Statistics 2026-05-13 David Hirnschall

Integrated circuit manufacturing is highly complex, comprising hundreds of process steps. Defects can arise at any stage, causing yield loss and ultimately degrading product reliability. Supervised methods require extensive human annotation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Botong. Zhao , Xubin. Wang , Shujing. Lyu , Yue. Lu

The notion of refinement plays an important role in software engineering. It is the basis of a stepwise development methodology in which the correctness of a system can be established by proving, or computing, that a system refines its…

Logic in Computer Science · Computer Science 2023-06-22 Maurice Laveaux , Jan Friso Groote , Tim A. C. Willemse

Industrial cyber-physical systems generate vast amounts of semi-structured time-series data that require careful preprocessing before they can be effectively used for machine learning applications such as fault detection and identification.…

Programming Languages · Computer Science 2026-05-12 Uraz Odyurt , Ömer Sayilir , Mariëlle Stoelinga , Vadim Zaytsev

While critical for the practical progress of spectrum sharing, modulation recognition has so far been investigated under unrealistic assumptions: (i) a transmitter's bandwidth must be scanned alone and in full, (ii) prior knowledge of the…

Signal Processing · Electrical Eng. & Systems 2020-05-11 Wei Xiong , Karyn Doke , Petko Bogdanov , Mariya Zheleva

This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap against real-world images. To this end, we introduce a…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Xiaomeng Zhu , Talha Bilal , Pär Mårtensson , Lars Hanson , Mårten Björkman , Atsuto Maki

Hardware Trojans have drawn the attention of academia, industry and government agencies. Effective detection mechanisms and countermeasures against such malicious designs can only be developed when there is a deep understanding of how…

Cryptography and Security · Computer Science 2019-10-03 Samaneh Ghandali , Thorben Moos , Amir Moradi , Christof Paar

Modern sequential recommender systems, ranging from lightweight transformer-based variants to large language models, have become increasingly prominent in academia and industry due to their strong performance in the next-item prediction…

Information Retrieval · Computer Science 2025-08-11 Danil Gusak , Anna Volodkevich , Anton Klenitskiy , Alexey Vasilev , Evgeny Frolov

A crucial step in seismic data processing consists in reconstructing the wavefields at spatial locations where faulty or absent sources and/or receivers result in missing data. Several developments in seismic acquisition and interpolation…

Geophysics · Physics 2023-11-16 David Vargas , Ivan Vasconcelos , Nick Luiken , Matteo Ravasi

Security is an important facet of integrated circuit design for many applications. IP privacy and Trojan insertion are growing threats as circuit fabrication in advanced nodes almost inevitably relies on untrusted foundries. A proposed…

Cryptography and Security · Computer Science 2020-05-21 Joseph Sweeney , Samuel Pagliarini , Lawrence Pileggi

Increasing system-on-chip (SoC) heterogeneity, deep hardware/software integration, and the proliferation of third-party intellectual property (IP) have brought security validation to the forefront of semiconductor design. While simulation…

Cryptography and Security · Computer Science 2026-04-17 Tanvir Rahman , Shuvagata Saha , Ahmed Y. Alhurubi , Sujan Kumar Saha , Farimah Farahmandi , Mark Tehranipoor

Cryptovirological augmentations present an immediate, incomparable threat. Over the last decade, the substantial proliferation of crypto-ransomware has had widespread consequences for consumers and organisations alike. Established…

Cryptography and Security · Computer Science 2017-09-26 Gregory D. Hill , Xavier J. A. Bellekens

Advances in reverse engineering make it challenging to deploy any on-chip information in a way that is hidden from a determined attacker. A variety of techniques have been proposed for design obfuscation including look-alike cells in which…

Cryptography and Security · Computer Science 2017-10-26 Shahrzad Keshavarz , Daniel Holcomb