Results 61 to 70 of about 3,951 (305)
Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]
, 2009 Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J +8 more
core +1 more source
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
, 2022 S.425-430The method of inversion for arbitrary continuous multilayer nets is developed. The inversion is done by computing iteratively an input vector which minimizes the least-mean-square errors to approximate a given output target.
Kindermann, J., Linden, A.
core +1 more source
Predicting Customer Lifetime Value Using Recurrent Neural Net
CoRR4 pages, 4 figures, first presented in Customer Journey Optimization Workshop in KDD ...
Huigang Chen +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Reservoir computing with output feedback
, 2011 Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
core +1 more source
RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
CoRR, 2019 Most current speech enhancement models use spectrogram features that require an expensive transformation and result in phase information loss. Previous work has overcome these issues by using convolutional networks to learn long-range temporal correlations across high-resolution waveforms.
Jalal Abdulbaqi, Yue Gu, Ivan Marsic
openaire +2 more sources
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Local feature‐based video captioning with multiple classifier and CARU‐attention
IET Image ProcessingVideo captioning aims to identify multiple objects and their behaviours in a video event and generate captions for the current scene. This task aims to generate a detailed description of the current video in real‐time using natural language, which ...
Sio‐Kei Im, Ka‐Hou Chan
doaj +1 more source
Long short‐term memory on abstract syntax tree for SQL injection detection
IET Software, 2021 SQL injection attack (SQLIA) is a code injection technique, used to attack data‐driven applications by executing malicious SQL statements. Techniques like pattern matching, software testing and grammar analysis etc.
Z. Zhuo, T. Cai, X. Zhang, F. Lv
doaj +1 more source