Results 91 to 100 of about 124,788 (331)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 more
wiley +1 more source
Revista Árvore, 2009 Rede neural artificial consiste em um conjunto de unidades que contêm funções matemáticas, unidas por pesos. As redes são capazes de aprender, mediante modificação dos pesos sinápticos, e generalizar o aprendizado para outros arquivos desconhecidos.
Eric Bastos Gorgens +3 more
doaj +1 more source
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. [PDF]
Front Plant Sci, 2022 Picek L, Šulc M, Patel Y, Matas J.
europepmc +1 more source
User's guide for NETS/PROSSS [PDF]
Expensive analysis programs are often combined with optimization procedures to solve engineering problems. To obtain an optimal solution requires numerous iterations between the analysis program and the optimizer.
Lamarsh, William J., II +1 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
Segmentation and Location Computation of Bin Objects
International Journal of Advanced Robotic Systems, 2008 In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the object location [midpoint,x, y and
C.R. Hema +3 more
doaj
Evolving Neural Arrays A new mechanism for learning complex action sequences
CLEI Electronic Journal, 2018 Incremental evolution has proved to be an extremely useful mechanism in complex actions sequence learning. Its performance is based on the decomposition of the original problem into increasingly complex stages whose learning is carried out sequentially ...
Leonardo Corbalán, Laura Lanzarini
doaj +1 more source
On Compression of Unsupervised Neural Nets by Pruning Weak Connections [PDF]
, 2019 Zhiwen Zuo +5 more
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
PIPENN: protein interface prediction from sequence with an ensemble of neural nets. [PDF]
Bioinformatics, 2022 Stringer B +5 more
europepmc +1 more source