Results 61 to 70 of about 35,527 (280)

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

Advanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

Prediction of vertical well inclination angle based on stacking ensemble learning

All Earth
Well deviation is a common technical challenge in vertical well drilling operations. To accurately predict the Inclination angle in a certain oilfield in the Xinjiang work area, a Stacking-based ensemble learning method was established using historical ...
Hao Yan, Shuangjin Zheng, Hongfei Chen, Kai Bai   +3 more
doaj   +1 more source

Spam comments prediction using stacking with ensemble learning

Journal of Physics: Conference Series, 2018
Illusive comments of product or services are misleading for people in decision making. The current methodologies to predict deceptive comments are concerned for feature designing with single training model. Indigenous features have ability to show some linguistic phenomena but are hard to reveal the latent semantic meaning of the comments. We propose a
Arif Mehmood, Byung-Won On, Ingyu Lee, Imran Ashraf, Gyu Sang Choi   +4 more
openaire   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source

Ensemble Machine Learning Approach for Anemia Classification Using Complete Blood Count Data

Al-Mustansiriyah Journal of Science
Background: Anemia is a widespread global health issue affecting millions of individuals worldwide. Early and accurate diagnosis is essential for effective treatment. Traditional diagnostic approaches rely on complete blood count (CBC) parameters, which
Rasha Jamal Hindi
doaj   +1 more source

A Stacking Ensemble Learning Approach for Intrusion Detection System

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021
Intrusion detection systems (IDSs) have received great interest in computer science, along with increased network productivity and security threats. The purpose of this study is to determine whether the incoming network traffic is normal or an attack based on 41 features in the NSL-KDD dataset. In this paper, the performance of a stacking technique for
Murat UÇAR, Emine UÇAR, Mürsel Ozan İNCETAŞ   +2 more
openaire   +6 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Applying ant colony optimization to configuring stacking ensembles for data mining

, 2014
An ensemble is a collective decision-making system which applies a strategy to combine the predictions of learned classifiers to generate its prediction of new instances.
CHEN, Yi Jun, LI, Haibing, WONG, Man Leung   +2 more
core   +1 more source

Stacking-based ensemble learning for remaining useful life estimation

Soft Computing, 2023
AbstractExcessive and untimely maintenance prompts economic losses and unnecessary workload. Therefore, predictive maintenance models are developed to estimate the right time for maintenance. In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan
Begum Ay Ture, Akhan Akbulut, Abdul Halim Zaim, Cagatay Catal   +3 more
openaire   +2 more sources

Machine Learning‐Informed Nano Co‐Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue

Advanced Materials, EarlyView.
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu, Qiang Long, Yihao Liu, Xiuqiao Sun, Baoding Zhang, Binxin Liao, Weibin Wu, Wangxi Hai, Pei Zhang, Wenhua Lian, Yuewen Zhu, Zheng Wang, Caisheng Wu, Xianming Deng, Hélder A. Santos, Xiaofeng Ye   +15 more
wiley   +1 more source