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Shahroodi, T. (author)
Modern applications like Genomics and Machine Learning (ML) hold the potential to reshape our understanding of diseases’ genetic origins and guide machines in executing tasks and making predictions without our explicit programming. The successful, widespread integration of these modern applications can usher in advancements in di-agnostics,...
doctoral thesis 2024
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Aljuffri, A.A.M. (author)
The security of electronic devices holds the greatest importance in the modern digital era, with one of the emerging challenges being the widespread occurrence of hardware attacks. The aforementioned attacks present a substantial risk to hardware devices, and it is of utmost importance to comprehend the potential detrimental effects they may...
doctoral thesis 2024
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Zahedi, M.Z. (author)
Computation-in-Memory (CIM) is a promising alternative to traditional computing systems where the storage is conceptually separated fromthe computing units. Instead, the CIM paradigm aims to perform the computation where the data resides, alleviating the memory bottleneck and ultimately leading to higher energy efficiency and performance. From...
doctoral thesis 2023
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Köylü, T.C. (author)
Machine learning has gained a lot of recognition recently and is now being used in many important applications. However, this recognition was limited in the hardware security area. Especially, very few approaches depend on this powerful tool to detect attacks during operation. This thesis reduces this gap in the field of fault injection attack...
doctoral thesis 2023
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Augusto da Silva, F. (author)
In recent years, advances in technology have enabled the employment of automated systems to control driving tasks. The idea of electronic devices having complete control over a vehicle promises to change the concept of mobility soon. However, allowing computers to control all the tasks in a vehicle demands sophisticated systems and significant...
doctoral thesis 2022
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Fieback, M. (author)
Resistive random access memory (RRAM) is a promising emerging memory technology that offers dense, non-volatile memories that do not consume any static power. Furthermore, RRAMdevices can be written and read out in nanoseconds, and it is possible to use them to performcomputation-in-memory (CIM). These benefits make this technology a potential...
doctoral thesis 2022
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Mahmoud, A.N.N. (author)
CMOS downscaling has provided the means to efficiently process the huge raw data resulted from the information technology revolution. However, this becomes more difficult because of leakage, reliability, and cost walls. To keep the pace with the exploding market needs at affordable cost, novel alternative technologies are under investigation;...
doctoral thesis 2022
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Cardoso Medeiros, G. (author)
The Fin Field-Effect Transistor (FinFET) technology became the most promising approach to enable the downscaling of technological nodes below the 20 nm threshold. However, the introduction of new technology nodes for embedded memories such as SRAMs, especially for even smaller nodes such as 10 and 5 nm, gives rise to new manufacturing failure...
doctoral thesis 2022
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Wu, L. (author)
As STT-MRAM mass production and deployment in industry is around the corner, high-quality yet cost-efficient manufacturing test solutions are crucial to ensure the required quality of products being shipped to end customers. This dissertation focuses on STT-MRAM testing, covering three abstraction levels: manufacturing defects, fault models, and...
doctoral thesis 2021
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Yu, J. (author)
Memristive devices are promising candidates as a complement to CMOS devices. These devices come with several advantages such as non-volatility, high density, good scalability, and CMOS compatibility. They enable in-memory computing paradigms since they can be used for both storing and computing. However, building in-memory computing systems...
doctoral thesis 2021
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Joshi, P.D. (author)
Networks such as road networks, utility networks, computer and communication networks and even social networks are the backbone of human civilization. Network analysis enables quantitative measurement of the important criteria such<br/>as delays, ease of routing and fault tolerance, and is required to build efficient and robust networks....
doctoral thesis 2019
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Du Nguyen, H.A. (author)
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory bottleneck. It has even higher potential when implemented usingmemristive devices ormemristors with various beneficial characteristics such as nonvolatility, high scalability, near-zero standby power consumption, high density, and CMOS...
doctoral thesis 2019
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Agbo, I.O. (author)
Complementary Metallic Oxide Semiconductor (CMOS) technology scaling enhances the performance, transistor density, functionality, and reduces cost and power consumption. However, scaling causes significant reliability challenges both from a manufacturing and operational point of view. Obtaining reliable memories require accurate understanding of...
doctoral thesis 2018
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Xie, L. (author)
Memristive device or memristor is a promising emerging technology due to its good scalability, near-zero standby power consumption, high integration density, and CMOS fabrication compatibility. Several potential applications based on memristor technology have been proposed, such as non-volatile memories, neuromorphic systems, and resistive...
doctoral thesis 2018
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Monteiro Oliveira Cortez, A.M. (author)
doctoral thesis 2015
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Haron, N.Z.B. (author)
Emerging nanoelectronic memories such as Resistive Random Access Memories (RRAMs) are possible candidates to replace the conventional memory technologies such as SRAMs, DRAMs and flash memories in future computer systems. Despite their advantages such as enormous storage capacity, low-power per unit device and reduced manufacturing difficulties,...
doctoral thesis 2012
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