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This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems o...

Exploiting alternative physical dimensions beyond the spatial domain has been intensively explored to improve the scalability in photonic computing. One approach leverages dynamical systems for time-domain computation, e...

Accurately forecasting the high-dimensional chaotic dynamics of semiconductor laser (SL) networks is essential in photonics research. In this study, we propose a spatiotemporal multiplexed photonic reservoir computing (S...

This study examines the issue of selecting an optimal electoral system for the first post-war elections to the Verkhovna Rada. It argues that the design of the electoral system will have a significant impact on both the ...

Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, large sampling intervals and the typically ...

This research paper examines ChatGPT's methodologies for addressing the untranslatability challenges posed by verbified proper nouns in English-Arabic translation. The process of denominalization, whereby proper nouns ar...

To address the critical limitations of conventional band-switching technologies – such as their slow speed, high energy consumption, and mechanical instability – this research introduces a novel deep-learning-driven ...

Controlling near-field electromagnetic interactions is central to tailoring optical responses in plasmonic systems. However, the static nature of conventional noble metal nanostructures limits their application in active...

While conventional von Neumann based machines are increasingly challenged by modern day requirements, electromagnetic analog computing devices promise to provide a platform that is highly parallel, efficient and fast. Al...

Amish Tripathi’s The Shiva Trilogy reimagines Hindu mythology through a socio-political lens, presenting the Nagas not as mythological monsters but as deterritorialized agents challenging the hegemonic Somras-Industri...

Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency...

Optical computing offers potential for ultra high-speed and low-latency computation by leveraging the intrinsic properties of light, such as parallelism and linear as well as nonlinear ultra-high bandwidth signal transfo...

Abstract Permanent-magnet (PM) machines are the important driving components of various mechanical equipment and industrial applications, such as robot joints, aerospace equipment, electric vehicles, actuators, wind gene...

The article is dedicated to a comprehensive analysis of the phenomenon of virtual reality as an innovative sociocultural formation that significantly changes the ways of human existence, perception, communication, and in...