Results 21 to 30 of about 285,439 (304)

Shape and Margin Dynamics in Analog Computing: A Machine Learning Perspective [PDF]

Abhishek Agwekar, Laxmi Singh
openalex   +2 more sources

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

IET Renewable Power Generation, 2023
The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy.
Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai, Tieqiang Wang, Xiaodong Yang   +5 more
doaj   +1 more source

Improving Adversarial Robustness of CNNs via Maximum Margin

Applied Sciences, 2022
In recent years, adversarial examples have aroused widespread research interest and raised concerns about the safety of CNNs. We study adversarial machine learning inspired by a support vector machine (SVM), where the decision boundary with maximum ...
Jiaping Wu, Zhaoqiang Xia, Xiaoyi Feng
doaj   +1 more source

Dictionary Learning Guided by Minimum Class Variance Support Vector [PDF]

Jisuanji gongcheng, 2020
Existing Support Vector Guided Dictionary Learning(SVGDL) algorithm based on the principle of large-margin classification.When establishing decision-making hyperplanes,the algorithms consider only the boundary conditions of each class of encoding vectors,
WANG Xiaoming, XU Tao, RAN Biao
doaj   +1 more source

Pemetaan Ekosistem Mangrove di Kabupaten Kubu Raya Menggunakan Machine Learning pada Google Earth Engine

Jurnal Geografi, 2021
Penyediaan data distribusi mangrove serta perubahannya membutuhkan waktu pemrosesan yang lama jika dilakukan dengan interpretasi citra secara konvensional, apalagi jika dilakukan pada area yang luas seperti Kabupaten Kubu Raya.
Trida Ridho Fariz, Pawit Indra Permana, Fitri Daeni, Akbar Cahyadhi Pratama Putra   +3 more
doaj   +1 more source

Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.

PLoS ONE, 2021
ObjectiveTo construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning.MethodsPediatric patients aged
Jae-Geum Shim, Kyoung-Ho Ryu, Sung Hyun Lee, Eun-Ah Cho, Sungho Lee, Jin Hee Ahn   +5 more
doaj   +1 more source

Large-Scale Predictions of Compound Potency with Original and Modified Activity Classes Reveal General Prediction Characteristics and Intrinsic Limitations of Conventional Benchmarking Calculations

Pharmaceuticals, 2023
Predicting compound potency is a major task in computational medicinal chemistry, for which machine learning is often applied. This study systematically predicted compound potency values for 367 target-based compound activity classes from medicinal ...
Tiago Janela, Jürgen Bajorath
doaj   +1 more source

Machine Learning Based Real-Time Monitoring of Long-Term Voltage Stability Using Voltage Stability Indices

IEEE Access, 2020
This article presents a machine learning approach to predict the long-term voltage stability margin as represented by the Loadability Margin (LM). LM is an intuitive and easily understandable indicator of voltage stability.
Kalana Dulanjith Dharmapala, Athula Rajapakse, Krish Narendra, Yi Zhang   +3 more
doaj   +1 more source

Large Margin and Minimal Reduced Enclosing Ball Learning Machine [PDF]

Journal of Software, 2012
Jianwen Tao, Shitong Wang
openalex   +2 more sources

A Surrogate Based Computationally Efficient Method to Coordinate Damping Controllers for Enhancement of Probabilistic Small-Signal Stability

IEEE Access, 2021
This paper proposes a computationally efficient method based on deep neural network and a meta-heuristic optimization algorithm known as bat algorithm to coordinate power oscillation damping controllers incorporated in renewable energy stations to ...
Samundra Gurung, Sumate Naetiladdanon, Anawach Sangswang   +2 more
doaj   +1 more source