3.327 hasil untuk machine learning
Menampilkan 521–540 · 1,08 detik · RSS
-
Artikel Jurnal Teks lengkap
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
…inventory. Conventional methods like pixel-based and object-based machine learning strategies have been studied extensively in the last decade. In addition, recent advances in CNN (convolutional neural network), a type of deep-learning method, has been widely successful in extracting information…
-
Artikel Jurnal Teks lengkap
Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
…for the grid integration of the technology. This study compares 24 machine learning models for deterministic day-ahead power forecasting based on numerical weather predictions (NWP), tested for two-year-long 15-min resolution datasets of 16 PV plants in Hungary. The effects of the predictor…
-
Artikel Jurnal Teks lengkap
Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms
…concrete is the Compressive strength (CS). To predict the CS of concrete Machine learning (ML) approaches has been essential. This study includes the collection of data from the experimental work and the application of ML techniques to predict the CS of concrete containing fly ash. The chemical and…
-
Artikel Jurnal Teks lengkap
Prediction of the development of acute kidney injury following cardiac surgery by machine learning
…surgery. Therefore, this study utilized an artificial intelligence-based machine learning approach thorough perioperative data-driven learning to predict CSA-AKI. METHODS: A total of 671 patients undergoing cardiac surgery from August 2016 to August 2018 were enrolled. AKI following cardiac surgery…
-
Artikel Jurnal Teks lengkap
Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
An intrusion detection system (IDS) is an important protection instrument for detecting complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms have been proposed for implementing anomaly-based IDS (AIDS). Our review of the AIDS literature identifies some issues in…
-
Artikel Jurnal Teks lengkap
Digital twin, physics-based model, and machine learning applied to damage detection in structures
-
Artikel Jurnal Teks lengkap
Machine learning-based global maps of ecological variables and the challenge of assessing them
The recent wave of published global maps of ecological variables has caused as much excitement as it has received criticism. Here we look into the data and methods mostly used for creating these maps, and discuss whether the quality of predicted values can be assessed, globally and locally.
-
Artikel Jurnal Teks lengkap
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
…or challenges in selecting appropriate parameters. While state-of-the-art machine learning models can sometimes outperform physics-based models given ample amount of training data, they can produce results that are physically inconsistent. This article proposes a physics-guided recurrent neural…
-
Artikel Jurnal Teks lengkap
Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques
…plays a vital role in reducing this flaw. This study used supervised machine learning algorithms, decision tree (DT), bagging regressor (BR), and AdaBoost regressor (AR) to estimate the compressive strength of fly ash-based geopolymer concrete. The coefficient of determination (R2), mean absolute…
-
Artikel Jurnal Teks lengkap
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
…we perform Covid-19 tweets sentiment analysis using a supervised machine learning approach. Identification of Covid-19 sentiments from tweets would allow informed decisions for better handling the current pandemic situation. The used dataset is extracted from Twitter using IDs as provided by the…
-
Artikel Jurnal Teks lengkap
Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
…not applied to downstream applications. Therefore, approaches that use Machine Learning algorithms in conjunction with time-series data are being explored as an alternative to overcome these drawbacks. To this end, this study presents a comparative analysis using simplified rainfall estimation…
-
Artikel Jurnal Teks lengkap
Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey
…of pests and diseases in agricultural crops. To perform such automation, Machine Learning (ML) techniques can be used to derive knowledge and relationships from the data that is being worked on. This paper presents a literature review on ML techniques used in the agricultural sector, focusing on…
-
Artikel Jurnal Teks lengkap
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
…approach that utilizes statistical features, genetic algorithm (GA) and machine learning models for bearing fault diagnosis. First, the statistical features are extracted from the motor current signals. Second, the GA is utilized to reduce the number of features and select the most important ones…
-
Artikel Jurnal Teks lengkap
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
…death up to 20 days in advance. This ensemble model is built using four machine learning methods including Logistic Regression, Support Vector Machine, Gradient Boosted Decision Tree, and Neural Network. We validate MRPMC in an internal validation cohort and two external validation cohorts, where…
-
Artikel Jurnal Teks lengkap
LIMITATIONS OF PHYSICS INFORMED MACHINE LEARNING FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA
Deep learning techniques have recently been applied to a wide range of computational physics problems.In this paper, we focus on developing a physics-based approach that enables the neural network to learn the solution of a dynamic fluid-flow problem governed by a nonlinear partial differential…
-
Artikel Jurnal Teks lengkap
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
-
Artikel Jurnal Teks lengkap
Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox
The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are prevailing issues. To address these, we developed SIAMCAT, a…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.