In the context of data explosion,traditional cloud computing is faced with the dilemma of insufficient local cloud resources and high expansion cost.However,the newly emerging hybrid KIDS MODUCARE cloud combining resource-rich public cloud and data-sensitive private cloud has become a research hotspot and application direction at present.As an attr
Despite significant advances in quantitative neuroimaging, the diagnosis of ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis.The objective of this study is to develop a robust, disease-specific, multimodal classification protocol and validate its diagnostic accuracy in independent, early-stage and follow-up
The Industrial Revolution 4.0 (IR4.0) requires companies and MSMEs to increase their competitiveness, even during the COVID-19 pandemic, apart from adopting information technology, MSMEs also need to innovate products.Small Medium-Sized Enterprises (SMEs) or often known as Micro, Small and Medium Enterprises (MSMEs) in the national economy have an
Abstract Objectives Fasciolosis is of significant economic and public health importance worldwide.The lack of a successful vaccine and emerging resistance in flukes to the drug of choice, triclabendazole, has initiated the search for alternative approaches.In recent years, metallic nanoparticles have been extensively investigated for their anthelmi
The quality of environmental perception is crucial for automated vehicle capabilities.In order to ensure the required LAVENDER CONDITIONER accuracy, the occupancy grid mapping algorithm is often utilised to fuse data from multiple sensors.This paper focuses on the radar-based occupancy grid for highway applications and describes how to measure effe