Continual learning (CL) with bidirectional encoder representation from transformer (BERT) and its variant Distil-BERT, have shown remarkable performance in various natural language processing (NLP) tasks, such as text classification (TC).However, the model degrading factors like catastrophic forgetting (CF), accuracy, task dependent architecture ru
Lycium barbarum polysaccharides reduce neuronal damage, blood-retinal barrier disruption and oxidative stress in retinal ischemia/reperfusion injury.
Neuronal cell death, Telephone glial cell activation, retinal swelling and oxidative injury are complications in retinal ischemia/reperfusion (I/R) injuries.Lycium barbarum polysaccharides (LBP), extracts from the wolfberries, are good for "eye health" according to Chinese medicine.The aim of our present study is to explore the use of LBP in retina
Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer
The IEEE 802.11ah standard is introduced to address the growing scale of internet of things (IoT) applications.To reduce contention and enhance energy efficiency in the system, the restricted shoes access window (RAW) mechanism is introduced in the medium access control (MAC) layer to manage the significant number of stations accessing the network.
Genomic prediction using DArT-Seq technology for yellowtail kingfish Seriola lalandi
Abstract Background Genomic prediction using Diversity Arrays Technology (DArT) genotype by sequencing platform has not been reported in yellowtail kingfish (Seriola lalandi).The principal aim of this study was to address this knowledge gap and to assess predictive ability of genomic Best Linear Unbiased Prediction (gBLUP) for traits of commercial