Bilateral native nephrectomies for severe hypertension in children with stage 5 chronic kidney disease leads to improved BP control following transplantation
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Nephrology"
DOI: 10.1007/s00467-020-04738-6
Abstract: Hypertension is a common problem in stage 5 chronic kidney disease (CKD 5) and following kidney transplantation (KT). There is limited data on the outcome of children with CKD 5 who undergo bilateral native nephrectomies… read more here.
Keywords: bnn; chronic kidney; children underwent; hypertension ... See more keywords
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.012
Abstract: Convolutional neural network (CNN) has been widely used for vision-based tasks. Due to the high computational complexity and memory storage requirement, it is hard to directly deploy a full-precision CNN on embedded devices. The hardware-friendly… read more here.
Keywords: bnn; network; bit level; build compact ... See more keywords
BNN-20, a synthetic microneurotrophin, strongly protects dopaminergic neurons in the “weaver” mouse, a genetic model of dopamine-denervation, acting through the TrkB neurotrophin receptor
Sign Up to like & getrecommendations! Published in 2017 at "Neuropharmacology"
DOI: 10.1016/j.neuropharm.2017.04.043
Abstract: Neurotrophic factors are among the most promising treatments aiming at slowing or stopping and even reversing Parkinson's disease (PD). However, in most cases, they cannot readily cross the human blood-brain-barrier (BBB). Herein, we propose as… read more here.
Keywords: bnn; neurotrophin receptor; bnn synthetic; trkb neurotrophin ... See more keywords
Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2022ms003162
Abstract: The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making… read more here.
Keywords: explainable artificial; neural network; bnn; neural networks ... See more keywords
A Systematic Literature Review on Binary Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3258360
Abstract: This paper presents an extensive literature review on Binary Neural Network (BNN). BNN utilizes binary weights and activation function parameters to substitute the full-precision values. In digital implementations, BNN replaces the complex calculations of Convolutional… read more here.
Keywords: bnn; review; literature review; optimization ... See more keywords
STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3169759
Abstract: This paper presents a novel architecture for in-memory computation of binary neural network (BNN) workloads based on STT-MRAM arrays. In the proposed architecture, BNN inputs are fed through bitlines, then, a BNN vector multiplication can… read more here.
Keywords: bnn; stt mram; stt bnn; bnn novel ... See more keywords
Multi-Criteria Decision-Making Method Using Heronian Mean Operators under a Bipolar Neutrosophic Environment
Sign Up to like & getrecommendations! Published in 2019 at "Mathematics"
DOI: 10.3390/math7010097
Abstract: In real applications, most decisions are fuzzy decisions, and the decision results mainly depend on the choice of aggregation operators. In order to aggregate information more scientifically and reasonably, the Heronian mean operator was studied… read more here.
Keywords: operator; geometry; heronian mean; bnn ... See more keywords
PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.842
Abstract: In this study, we present a novel performance-enhancing binarized neural network model called PresB-Net: Parametric Binarized Neural Network. A binarized neural network (BNN) model can achieve fast output computation with low hardware costs by using… read more here.
Keywords: neural network; bnn; shuffled grouped; presb net ... See more keywords