Results 61 to 70 of about 361,099 (313)

Improved Density Peaks Clustering Based on Natural Neighbor Expanded Group

Complexity, 2020
Density peaks clustering (DPC) is an advanced clustering technique due to its multiple advantages of efficiently determining cluster centers, fewer arguments, no iterations, no border noise, etc.
Lin Ding, Weihong Xu, Yuantao Chen
doaj   +1 more source

Using dual evolutionary search to construct decision tree based ensemble classifier

Complex & Intelligent Systems, 2022
A typical ensemble learning process typically uses a forward integration mechanism to construct the ensemble classifier with a large number of base classifiers.
Hao Chen, Guoxin Zhang, Xiaoying Pan, Rong Jia   +3 more
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis

Journal of Social Computing
Modeling and analysis of complex social networks is an important topic in social computing. Graph convolutional networks (GCNs) are widely used for learning social network embeddings and social network analysis.
Ling Wu, Boen Li, Kun Guo, Qishan Zhang
doaj   +1 more source

Lightweight Feedback Convolution Neural Network for Remote Sensing Images Super-Resolution

IEEE Access, 2021
There are lots of image data in the field of remote sensing, most of which have low-resolution due to the limited image sensor. The super-resolution method can effectively restore the low-resolution image to the high-resolution image.
Jin Wang, Yiming Wu, Liu Wang, Lei Wang, Osama Alfarraj, Amr Tolba   +5 more
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Data Science Employment Classification using Machine Learning

, 2019
Following the gold rush in artificial intelligence, a new career track called "data scientists” has taken the world by storm. With a combination of skills in business intuition and technical soundness, data science is considered the most sought after job
Chandrashekar, Tejus
core   +1 more source

Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). The “from-to” information of the acquired image has more profound practical significance than Binary Change ...
Yuhang Zhang, Wuxia Zhang, Songtao Ding, Siyuan Wu, Xiaoqiang Lu   +4 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Application of Acoustic Signal Processing Techniques to Seismic Data [PDF]

, 1977
Cynthia E. Irvine was Research Associate, Department of Computer Science. George A. Rahe was Principal Investigator, Professor of Computer Science and Electrical EngineeringIn order to obtain an effective discriminant between earthquakes and explosions,
Irvine, Cynthia, Rahe, George A.
core