Singlet and triplet energies of α-oligothiophenes: A spectroscopic, theoretical, and photoacoustic study: Extrapolation to polythiophene
JS de Melo, LM Silva, LG Arnaut… - The Journal of chemical …, 1999 - pubs.aip.org
The triplet state energies, ET (0–0), for the α-oligothiophenes (αn's) with n= 1–7, were
determined and vary from 18 000 cm− 1 (α2) to 13 000 cm− 1 (α7). The data were obtained …
determined and vary from 18 000 cm− 1 (α2) to 13 000 cm− 1 (α7). The data were obtained …
In-plane behavior of cavity masonry infills and strengthening with textile reinforced mortar
The seismic vulnerability of masonry infilled reinforced concrete (rc) frames observed during
past earthquakes in some south European countries resulted in losses of human lives and …
past earthquakes in some south European countries resulted in losses of human lives and …
High-content analysis of breast cancer using single-cell deep transfer learning
C Kandaswamy, LM Silva… - Journal of …, 2016 - journals.sagepub.com
High-content analysis has revolutionized cancer drug discovery by identifying substances
that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high …
that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high …
Portuguese Football Federation consensus statement 2020: nutrition and performance in football
R Abreu, P Figueiredo, P Beckert… - BMJ open sport & …, 2021 - bmjopensem.bmj.com
Nutrition is an undeniable part of promoting health and performance among football (soccer)
players. Nevertheless, nutritional strategies adopted in elite football can vary significantly …
players. Nevertheless, nutritional strategies adopted in elite football can vary significantly …
Data classification with multilayer perceptrons using a generalized error function
LM Silva, JM de Sá, LA Alexandre - Neural Networks, 2008 - Elsevier
The learning process of a multilayer perceptron requires the optimization of an error function
E (y, t) comparing the predicted output, y, and the observed target, t. We review some usual …
E (y, t) comparing the predicted output, y, and the observed target, t. We review some usual …
Using different cost functions to train stacked auto-encoders
Deep neural networks comprise several hidden layers of units, which can be pre-trained one
at a time via an unsupervised greedy approach. A whole network can then be trained (fine …
at a time via an unsupervised greedy approach. A whole network can then be trained (fine …
The basics of gait analysis
LM Silva, N Stergiou - Biomechanics and gait analysis, 2020 - books.google.com
For man bends his legs convexly, a bird has his bent concavely; again, man bends his arms
and legs in opposite directions, for he has his arms bent convexly, but his legs concavely …
and legs in opposite directions, for he has his arms bent convexly, but his legs concavely …
Improving deep neural network performance by reusing features trained with transductive transference
Transfer Learning is a paradigm in machine learning to solve a target problem by reusing
the learning with minor modifications from a different but related source problem. In this …
the learning with minor modifications from a different but related source problem. In this …
Improving transfer learning accuracy by reusing stacked denoising autoencoders
Transfer learning is a process that allows reusing a learning machine trained on a problem
to solve a new problem. Transfer learning studies on shallow architectures show low …
to solve a new problem. Transfer learning studies on shallow architectures show low …
Psychology of peace: Findings and challenges for the multidimensional transformation of violent social practices.
This chapter outlines a multidimensional analytical approach to peace grounded in the field
of peace studies to suggest future research directions. This multidimensional model of …
of peace studies to suggest future research directions. This multidimensional model of …