Results 1 to 10 of about 2,817,119 (330)
Using deep learning algorithms for texture segmentation of ultra-high resolution satellite images [PDF]
This paper presents the results of textural segmentation of satellite images with spatial resolution
Rusin Dmitry +3 more
doaj +1 more source
Deep attentive video summarization with distribution consistency learning [PDF]
This article studies supervised video summarization by formulating it into a sequence-to-sequence learning framework, in which the input and output are sequences of original video frames and their predicted importance scores, respectively.
Han, Jungong +4 more
core +1 more source
ParaMed: a parallel corpus for English–Chinese translation in the biomedical domain
Background Biomedical language translation requires multi-lingual fluency as well as relevant domain knowledge. Such requirements make it challenging to train qualified translators and costly to generate high-quality translations.
Boxiang Liu, Liang Huang
doaj +1 more source
Unsupervised Anomaly Detection Using Style Distillation
Autoencoders (AEs) have been widely used for unsupervised anomaly detection. They learn from normal samples such that they produce high reconstruction errors for anomalous samples.
Hwehee Chung +4 more
doaj +1 more source
Reinforcement Learning (RL) has shown promising performance in environments for both robotic control and strategic decision making. However, they are usually treated as separate problems with different objectives.
Bruno Brandao +4 more
doaj +1 more source
Cast-in-place anchors are being increasingly used in many applications including building construction, bridge, and power plants. The anchorage to concrete systems are subjected to tensile, shear and combined loads from a variety of loading circumstances
Quoc To Bao +4 more
doaj +1 more source
An Improved Blind Kriging Surrogate Model for Design Optimization Problems
Surrogate modeling techniques are widely employed in solving constrained expensive black-box optimization problems. Therein, Kriging is among the most popular surrogates in which the trend function is considered as a constant mean.
Hau T. Mai +4 more
doaj +1 more source
Background Developing a screening method for identifying individuals at higher risk of elevated brain amyloid burden is important to reduce costs and burden to patients in clinical trials on Alzheimer’s disease or the clinical setting.
Noriyuki Kimura +9 more
doaj +1 more source
Unconstrained neighbor selection for minimum reconstruction error-based K-NN classifiers
It is essential to define more convincing and applicable classifiers for small datasets. In this paper, a minimum reconstruction error-based K-nearest neighbors (K-NN) classifier is proposed. We propose a new neighbor selection method.
Rassoul Hajizadeh
doaj +1 more source
Objective As of 2022, 36 anti‐seizure medications (ASMs) have been licensed for the treatment of epilepsy, however, adverse effects (AEs) are commonly reported.
Kazuyuki Fukushima +14 more
doaj +1 more source

