Federated Learning (FL) enables collaborative model training without sharing raw data, but agent distributions can induce unfair outcomes across sensitive groups. Existing fairness attacks often degrade accuracy or are ...

Resistive random access memory (ReRAM) based analog in-memory-compute (IMC) coupled with spiking neural networks (SNN) offers a promising solution to implement efficient matrix multiplication. This work presents an ARM ...

We present a novel application of the Transition Matrix Monte Carlo (TMMC) algorithm to compute the relative free energies of polymers in explicit solvents as a function of a selected order parameter. Our method leverages ...

The scheelite type sodium lanthanide double tungstates NaRE(WO4)2 (RE = Sm3+, Ho3+ and Pr3+) were synthesized by three different synthesis methods, namely solid-state reaction, hydrothermal method and solvothermal method ...

Fruits are a common part of a healthy human diet as they are rich in vitamins, minerals, antioxidants, dietary fibers, and flavor. However, the processing and subsequent consumption of fruits result in a significant amount ...

Using joint reductions of complete ideals, we find expressions for the core and adjoints of the product of complete ideals in a two-dimensional regular local ring. We also compute their colengths. Our results strengthen a ...

Adaptation planning for water resource systems is fraught with significant challenges, arising from uncertainties associated with diverse climate change scenarios, varying model structures, and Internal Climate Variability ...

The conventional assessment of flood adaptation strategies often emphasizes the depth–damage relationship, overlooking the complex interactions between floods and buildings in damage modeling. This study uses a three-dimensional ...

We generalise a classic result of Rees to characterise analytically unramified local rings using Rees algebras of modules.