More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...

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Abstract: Wireless sensor networks have gained considerable attention in the past few years. They have found application domains in battlefield communication, homeland security, pollution sensing, and ...

Location-based social networks (LBSNs) have been studied extensively in recent years. However, utilizing real-world LBSN data sets in such studies yields several weaknesses: sparse and small data sets ...

Power doesn’t just disappear in one big breach. It slips away in the small stuff—a patch that’s missed, a setting that’s wrong, a system no one is watching. Security usually doesn’t fail all at once; ...

Abstract: Recent breakthrough in wireless power transfer technology provides a promising way for empowering sensors wirelessly, enabling them to work perpetually. Traditional research paid close ...

To cite, please use the following format: Alberto Robles-Enciso, Antonio F. Skarmeta, A multi-layer guided reinforcement learning-based tasks offloading in edge ...

1 Mechanical, Energy, and Industrial Engineering, Botswana International University of Science and Technology, Palapye, Botswana. 2 Sable Chemical Industries Limited, Kwekwe, Zimbabwe. Design and ...

To address these challenges, software packages developed for the analysis of single-cell data have become an integral part of the Bioconductor project. Herein, we primarily focus on the analysis of ...

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high performance computing systems using customizable hardware processors such as Field-Programmable Gate Arrays ...

In this paper, design and implement of a microcontroller based home security system with GSM technology have been presented and analyzed. Two microcontrollers with other peripheral devices which ...