3.327 hasil untuk machine learning
Menampilkan 201–220 · 4,77 detik · RSS
-
Artikel Jurnal Teks lengkap
Toward an Intelligent Edge: Wireless Communication Meets Machine Learning
…at various edge devices. Accordingly, a new research area, called edge learning, has emerged, which crosses and revolutionizes two disciplines: wireless communication and machine learning. A major theme in edge learning is to overcome the limited computing power, as well as limited data, at each…
-
Artikel Jurnal Teks lengkap
Cybersecurity data science: an overview from machine learning perspective
…and analyze the actual phenomena with data, various scientific methods, machine learning techniques, processes, and systems are used, which is commonly known as data science. In this paper, we focus and briefly discuss on cybersecurity data science , where the data is being gathered from relevant…
-
Artikel Jurnal Teks lengkap
Chemprop: A Machine Learning Package for Chemical Property Prediction
Deep learning has become a powerful and frequently employed tool for the prediction of molecular properties, thus creating a need for open-source and versatile software solutions that can be operated by nonexperts. Among the current approaches, directed message-passing neural networks (D-MPNNs)…
-
Artikel Jurnal
Electronic skins and machine learning for intelligent soft robots
…of data. This Review explores the emerging confluence of e-skins and machine learning, with a focus on how roboticists can combine recent developments from the two fields to build autonomous, deployable soft robots, integrated with capabilities for informative touch and proprioception to stand up…
-
Artikel Jurnal Teks lengkap
Machine Learning: Algorithms, Real-World Applications and Research Directions
-
Artikel Jurnal Teks lengkap
Efficient machine learning models for prediction of concrete strengths
-
Artikel Jurnal Teks lengkap
Multimodal machine learning in precision health: A scoping review
Machine learning is frequently being leveraged to tackle problems in the health sector including utilization for clinical decision-support. Its use has historically been focused on single modal data. Attempts to improve prediction and mimic the multimodal nature of clinical expert decision-making…
-
Artikel Jurnal Teks lengkap
Second opinion needed: communicating uncertainty in medical machine learning
There is great excitement that medical artificial intelligence (AI) based on machine learning (ML) can be used to improve decision making at the patient level in a variety of healthcare settings. However, the quantification and communication of uncertainty for individual predictions is often…
-
Artikel Jurnal Teks lengkap
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
…start to set their sights on AI, especially from a perspective of machine learning, a branch of AI that has gained increased popularity in the past decades. In this article, we first explain the formal definition of EC and the reasons why EC has become a favorable computing model. Then, we discuss…
-
Artikel Jurnal Teks lengkap
Precision agriculture using IoT data analytics and machine learning
…home, including “smart agriculture or precision agriculture”. Applying machine learning using the IoT data analytics in agricultural sector will rise new benefits to increase the quantity and quality of production from the crop fields to meet the increasing food demand. Such world-shattering…
-
Artikel Jurnal Teks lengkap
COVID-19 Future Forecasting Using Supervised Machine Learning Models
Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models have long been used in many application domains which needed the identification and prioritization…
-
Artikel Jurnal Teks lengkap
Autoencoders and their applications in machine learning: a survey
Abstract Autoencoders have become a hot researched topic in unsupervised learning due to their ability to learn data features and act as a dimensionality reduction method. With rapid evolution of autoencoder methods, there has yet to be a complete study that provides a full autoencoders roadmap for…
-
Artikel Jurnal Teks lengkap
Flood susceptibility modelling using advanced ensemble machine learning models
…of flash flood susceptible sites can be performed using advanced machine learning models for managing flood disasters. In this study, we applied and assessed two new hybrid ensemble models, namely Dagging and Random Subspace (RS) coupled with Artificial Neural Network (ANN), Random Forest (RF), and…
-
Artikel Jurnal Teks lengkap
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added to a simulation and used to compute forces and…
-
Artikel Jurnal Teks lengkap
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
…feature selection, K-fold cross-validation, and different Machine Learning (ML) classifiers (k-nearest Neighbour, Decision Trees, Random Forest, AdaBoost, Naive Bayes, and XGBoost) and Multilayer Perceptron (MLP) were employed. The weighted ensembling of different ML models is also proposed, in…
-
Artikel Jurnal Teks lengkap
Secure and robust machine learning for healthcare: A survey
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ranging from the prediction of cardiac arrest from one-dimensional heart signals to computer-aided diagnosis (CADx) using…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.