Results 41 to 50 of about 2,615 (182)

Comparative study on methods for colon polyp endoscopic image segmentation and classification based on deep learning

open access: yesShanghai Jiaotong Daxue xuebao. Yixue ban
Objective·To compare the performance of various deep learning methods in the segmentation and classification of colorectal polyp endoscopic images, and identify the most effective approach.Methods·Four colorectal polyp datasets were collected from three ...
CHEN Jian   +5 more
doaj   +1 more source

Energy-based Stabilization of Network Flows in Multi-machine Power Systems

open access: yes, 2018
This paper considers the network flow stabilization problem in power systems and adopts an output regulation viewpoint. Building upon the structure of a heterogeneous port-Hamiltonian model, we integrate network aspects and develop a systematic control ...
Arghir, Catalin, Dörfler, Florian
core   +1 more source

Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs [PDF]

open access: yes, 2017
Background: MicroRNAs (miRNAs) have been shown to play an important role in pathological initiation, progression and maintenance. Because identification in the laboratory of disease-related miRNAs is not straightforward, numerous network-based methods ...
Dinh-Toi Chu, Dinh-Toi Chu   +4 more
core   +2 more sources

Morphological Analysis Using a Sequence Decoder

open access: yesTransactions of the Association for Computational Linguistics, 2019
We introduce Morse, a recurrent encoder-decoder model that produces morphological analyses of each word in a sentence. The encoder turns the relevant information about the word and its context into a fixed size vector representation and the decoder ...
Akyürek, Ekin   +2 more
doaj   +1 more source

Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress

open access: yes, 2010
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back propagation neural (BPN) network has been applied successfully in many areas ...
Lee, Ming-Chang, To, Chang
core   +1 more source

Distributed archive and single access system for accelerometric event data : a NERIES initiative [PDF]

open access: yes, 2011
We developed a common access facility to homogeneously formatted accelerometric event data and to the corresponding sheet of ground motion parameters. This paper is focused on the description of the technical development of the accelerometric data server
Frobert, Laurent   +4 more
core   +4 more sources

A Novel Phosphorylation Site‐Kinase Network‐Based Method for the Accurate Prediction of Kinase‐Substrate Relationships

open access: yesBioMed Research International, Volume 2017, Issue 1, 2017., 2017
Protein phosphorylation is catalyzed by kinases which regulate many aspects that control death, movement, and cell growth. Identification of the phosphorylation site‐specific kinase‐substrate relationships (ssKSRs) is important for understanding cellular dynamics and provides a fundamental basis for further disease‐related research and drug design ...
Minghui Wang   +5 more
wiley   +1 more source

Application of PK/PD Modeling in Veterinary Field: Dose Optimization and Drug Resistance Prediction

open access: yesBioMed Research International, Volume 2016, Issue 1, 2016., 2016
Among veterinary drugs, antibiotics are frequently used. The true mean of antibiotic treatment is to administer dose of drug that will have enough high possibility of attaining the preferred curative effect, with adequately low chance of concentration associated toxicity.
Ijaz Ahmad   +5 more
wiley   +1 more source

Discovering habitable Earths, hot Jupiters and other close planets with microlensing

open access: yes, 2011
Searches for planets via gravitational lensing have focused on cases in which the projected separation, a, between planet and star is comparable to the Einstein radius, R_E.
Di Stefano, Rosanne
core   +1 more source

On the role of synaptic stochasticity in training low-precision neural networks [PDF]

open access: yes, 2018
Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes.
Baldassi, Carlo   +6 more
core   +4 more sources

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