Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...

Abstract: This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected ...

Abstract: Nivedita Arora: Collecting real-time, granular environmental data is essential for urban health, agriculture, and disaster prevention. However, it must be done sustainably, with minimal ...

Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

Abstract: Depending on a large-scale paired dataset of low-resolution hyperspectral image (LrHSI), high-resolution multispectral image (HrMSI), and corresponding high-resolution hyperspectral image ...

Abstract: Recent advances in sampling-based algorithms have enhanced the ability of mobile robots to navigate safely in environments with localization uncertainty. However, navigating narrow passages ...

Abstract: This paper introduces the Fuzzy logic-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach designed to enhance the interpretability and efficacy of neural models ...

Abstract: Power semiconductors are key enablers for highly efficient power conversion to address our global societal challenges. Silicon-based power devices have dominated the field for the past four ...

Abstract: As information acquisition diversifies, data is acquired and stored in increasing modalities. However, sensor failures or equipment issues can lead to partial data loss in certain views, ...

Abstract: In this correspondence, we study the joint beamforming problem in an multi-functional reconfigurable intelligent surface (MF-RIS) assisted wireless network. Considering the power budgets at ...

Abstract: With the continuous development of intelligent networks and autonomous driving technologies, heterogeneous traffic flow represented by conventional vehicles (CV), autonomous vehicles (AV), ...