Vision Transformers (ViT) have marked a paradigm shift in computer vision, outperforming
state-of-the-art models across diverse tasks. However, their practical deployment is …

This paper presents the energy management of smart distribution network including
integrated system of hydrogen storage and renewable sources. Objective is to assess …

This paper discusses the simultaneous management of active and reactive power of a
flexible renewable energy-based virtual power plant placed in a smart distribution system …

Machine learning-based reliability analysis methods have shown great advancements for
their computational efficiency and accuracy. Recently, many efficient learning strategies …

Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …

Distributed training can facilitate the processing of large medical image datasets, and
improve the accuracy and efficiency of disease diagnosis while protecting patient privacy …

Cryo-electron tomography (cryo-ET) plays a critical role in imaging microorganisms in situ in
terms of further analyzing the working mechanisms of viruses and drug exploitation, among …

Post-pandemic, the chemical sector faces new challenges crucial to national progress, with
a pressing need for rapid transformation and upgrading. The pandemic's impact and …

Distributed File Systems (DFS) have emerged as sophisticated solutions for efficient file
storage and management across interconnected computer nodes. The main objective of …

This study investigates the efficient strategies for supply chain network optimization,
specifically aimed at reducing industrial carbon emissions. Amidst escalating concerns …