Results 21 to 30 of about 192,056 (258)
EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
doaj +1 more source
A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding
Sensors, 2018 At present, realizing high-quality automatic welding through online monitoring is a research focus in engineering applications. In this paper, a CNN⁻LSTM algorithm is proposed, which combines the advantages of convolutional neural networks (CNNs ...
Tianyuan Liu +3 more
doaj +1 more source
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis
IEEE Access, 2020 Raw statistical features can imitate the amplitude, average, energy and time, and frequency series distribution of a raw vibration signal. However, these raw statistical features are either not very sensitive to weak incipient faults or are unsuitable ...
Zahoor Ahmad +3 more
doaj +1 more source
Feature Extraction of Laser Welding Pool Image and Application in Welding Quality Identification
IEEE Access, 2021 Most of the existing laser welding quality identification methods are post-weld identification or low-speed identification (Welding speed below 120 m/min).
Yinrui Gao +4 more
doaj +1 more source
Pedestrian detection based on adaptive pooling method
Journal of Hebei University of Science and Technology, 2019 Pedestrian detectors based on convolutional neural networks generally adopt image recognition network, which usually causes the following problems:1) multi-pool layers lead to the loss of feature information of small target pedestrian; 2) the single pool
Peijia YU, Jing ZHANG, Xiaoyao XIE
doaj +1 more source
Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning
Health Care Science, 2023 Background The association between cancer and venous thromboembolism (VTE) is well‐established with cancer patients accounting for approximately 20% of all VTE incidents.
Samir Khan Townsley +5 more
doaj +1 more source
Vision detection and feature extraction of molten pool behavior in powder laser cladding
Cailiao gongcheng, 2023 Molten pool monitoring is the basis of forming process optimization, playing a pivotal role in improving the formation quality. A machine vision monitoring system was set up for the laser cladding process.
DONG Fangyu +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
wiley +1 more source
Fast Feature Extraction with CNNs with Pooling Layers
CoRR, 2018 In recent years, many publications showed that convolutional neural network based features can have a superior performance to engineered features. However, not much effort was taken so far to extract local features efficiently for a whole image. In this paper, we present an approach to compute patch-based local feature descriptors efficiently in ...
Christian Bailer +3 more
openaire +2 more sources