Wireless Sensor Networks (WSNs) have been a major breakthrough in recent years, achieving significant advancements in both commercial and research fields worldwide. They have been applied in various ...

UnDIP is a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted using a geometric endmember ...

Telomere-to-telomere phased assemblies are standard expectations. To achieve these for diploid and even polyploid genomes, the contemporary approach involves at least two long-read sequencing ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Computed tomography-tunable diode laser absorption spectroscopy (CT-TDLAS) has been widely used in the diagnosis of the combustion flow field. Several optimized CT reconstruction algorithms such as ...

Although plant proteins are often considered to have less nutritional quality because of their suboptimal amino acid (AA) content, the wide variety of their sources, both conventional and emerging, ...

Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. Operating a software company needs to run without pouring a lot of money. At the same time, company ...

Abstract: Integrated access and backhaul (IAB) networks have the potential to provide high data rate in both access and backhaul networks by sharing the same spectrum. Due to the dense deployment of ...

Abstract: In this article, we introduce a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted ...

Current theories of community assembly pit niche-based processes that predict relative abundances from species traits against neutral processes that assume the ecological equivalence of species where ...