113.116 hasil untuk machine learning
Menampilkan 641–660 · 0,83 detik · RSS
-
Artikel Jurnal Teks lengkap
Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach
…and researcher. In this study, for the first time, an automated machine learning (AutoML) approach was proposed for model development and slope stability assessments of circular mode failure. An updated database with 627 cases consisting of the unit weight, cohesion, and friction angle of the slope…
-
Artikel Jurnal Teks lengkap
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development
…control among patients with T2D receiving usual care. METHODS: Our machine learning model predicts poor glycemic control (HbA(1c)≥8%) using the transformer architecture, incorporating an attention mechanism to process irregularly spaced HbA(1c) time series and quantify temporal relationships of…
-
Artikel Jurnal Teks lengkap
Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models
Recently, the use of machine‐learning (ML) models for pharmacokinetic (PK) modeling has grown significantly. Although most of the current approaches use ML techniques as black boxes, there are only a few that have proposed interpretable architectures which integrate mechanistic knowledge. In this…
-
Artikel Jurnal Teks lengkap
Deep learning—Using machine learning to study biological vision
Many vision science studies employ machine learning, especially the version called “deep learning.” Neuroscientists use machine learning to decode neural responses. Perception scientists try to understand how living organisms recognize objects. To them, deep neural networks offer benchmark…
-
Artikel Jurnal Teks lengkap
A Machine Learning approach to predict surgical learning curves
…given the trainees’ intrinsic differences in initial skill levels and learning abilities. Hence, an efficient training program should aim at tailoring the surgical training protocols to each trainee. In this regard, a predictive model utilizing information from the initial learning stage to predict…
-
Artikel Jurnal Teks lengkap
Machine learning and deep learning applications in microbiome research
…interest from the scientific community, which has recently turned to machine learning and deep learning methods to interrogate the microbiome and elucidate the relationships between its composition and function. Here, we provide an overview of how the latest microbiome studies harness the inductive…
-
Artikel Jurnal Teks lengkap
A machine learning enabled affective E-learning system model
The purpose of this study is to propose an e-learning system model for learning content personalisation based on students’ emotions. The proposed system collects learners’ brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named…
-
Artikel Jurnal Teks lengkap
Maximizing reusability of learning objects through machine learning techniques
Maximizing the reusability of learning objects through machine learning techniques has significantly transformed the landscape of e-learning systems. This progress has fostered authentic resource sharing and expanded opportunities for learners to explore these materials with ease. Consequently, a…
-
Artikel Jurnal Teks lengkap
Swarm Learning for decentralized and confidential clinical machine learning
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine(1,2). Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes(3). However, there is an increasing divide between what is…
-
Artikel Jurnal Teks lengkap
Applications of continual learning machine learning in clinical practice
-
Artikel Jurnal Teks lengkap
Introduction to Machine Learning, Neural Networks, and Deep Learning
PURPOSE: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. METHODS: A systematic literature search in PubMed was performed for articles pertinent to the topic of artificial…
-
Artikel Jurnal Teks lengkap
Research on learning achievement classification based on machine learning
Academic achievement is an important index to measure the quality of education and students’ learning outcomes. Reasonable and accurate prediction of academic achievement can help improve teachers’ educational methods. And it also provides corresponding data support for the formulation of education…
-
Artikel Jurnal Teks lengkap
Identifying protein complexes with fuzzy machine learning model
BACKGROUND: Many computational approaches have been developed to detect protein complexes from protein-protein interaction (PPI) networks. However, these PPI networks are always built from high-throughput experiments. The presence of unreliable interactions in PPI network makes this task very…
-
Artikel Jurnal Teks lengkap
Machine Learning Estimates of Natural Product Conformational Energies
Machine learning has been used for estimation of potential energy surfaces to speed up molecular dynamics simulations of small systems. We demonstrate that this approach is feasible for significantly larger, structurally complex molecules, taking the natural product Archazolid A, a potent inhibitor…
-
Artikel Jurnal Teks lengkap
GeneRIF indexing: sentence selection based on machine learning
…sentences describing a novel function. RESULTS: We have compared several learning algorithms and several features extracted or derived from MEDLINE sentences to determine if a sentence should be selected for GeneRIF indexing. Features are derived from the sentences or using mechanisms to augment…
-
Artikel Jurnal Teks lengkap
Fall Classification by Machine Learning Using Mobile Phones
…to provide data for comparison with the simulated falls. We applied five machine learning classifiers to a large time-series feature set to detect falls. Support vector machines and regularized logistic regression were able to identify a fall with 98% accuracy and classify the type of fall with 99%…
-
Artikel Jurnal Teks lengkap
Dana-Farber Repository for Machine Learning in Immunology
The immune system is characterized by high combinatorial complexity that necessitates the use of specialized computational tools for analysis of immunological data. Machine learning (ML) algorithms are used in combination with classical experimentation for the selection of vaccine targets and in…
-
Artikel Jurnal Teks lengkap
Early Prediction of Reading Disability using Machine Learning
This paper presents application of machine learning methods on a 356 sample dataset for early prediction of reading disability among first graders. A wide array of classifiers consisting of Support Vector Machines, Decision Trees (CART and C4.5), Linear Discriminant Analysis, k Nearest Neighbor and…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.