A MODIFIED GIFFLER AND THOMPSON ALGORITHM COMBINED WITH DYNAMIC SLACK TIME FOR SOLVING DYNAMIC SCHEDULE PROBLEMS

A MODIFIED GIFFLER AND THOMPSON ALGORITHM COMBINED WITH DYNAMIC SLACK TIME FOR SOLVING DYNAMIC SCHEDULE PROBLEMS

A Modified Giffler and Thompson algorithm combined with dynamic Pastry slack time is used to allocate machines resources in dynamic nature.It was compared with a Real Time Order Promising (RTP) algorithm.The performance of modified Giffler and Thompson and RTP algorithms are measured by mean tardiness.The result shows that modified Giffler and Thom

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Feature Map Compression for Video Coding for Machines Based on Receptive Block Based Principal Component Analysis

This paper presents a method to effectively compress the intermediate layer feature map of a convolutional neural network for the potential structures of Video Coding for Machines, which is an emerging Butter Dish technology for future machine consumption applications.Notably, most extant studies compress a single feature map and hence cannot entir

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Altered Functional Brain Network in Systemic Lupus Erythematosus Patients Without Overt Neuropsychiatric Symptoms Based on Resting-State Functional Magnetic Resonance Imaging and Multivariate Pattern Analysis

Objective: This study aims to investigate the alterations in functional brain network in systemic lupus erythematosus patients without overt neuropsychiatric symptoms [neuropsychiatric systemic lupus erythematosus (non-NPSLE)] from the perspective of degree centrality (DC) and functional connectivity (FC) using resting-state functional magnetic res

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