359.866 hasil untuk machine learning
Menampilkan 741–760 · 1,68 detik · RSS
-
Artikel Jurnal Teks lengkap
Machine learning for a sustainable energy future
…of renewable energy. Energy researchers have begun to incorporate machine learning (ML) techniques to accelerate these advances. In this Perspective, we highlight recent advances in ML-driven energy research, outline current and future challenges, and describe what is required to make the best use…
-
Artikel Jurnal Teks lengkap
IoT-based disease prediction using machine learning
…attempts to develop a novel system that implements the most efficient machine learning (ML) algorithm and takes input from the patients such as symptoms, audio recordings, available medical reports, and other histories of illnesses to accurately and holistically predict the disease that the…
-
Artikel Jurnal Teks lengkap
Machine learning based multipurpose medical image watermarking
Digital data security has become an exigent area of research due to a huge amount of data availability at present time. Some of the fields like medical imaging and medical data sharing over communication platforms require high security against counterfeit access, manipulation and other processing…
-
Artikel Jurnal Teks lengkap
Interpretable Machine Learning of Two‐Photon Absorption
…TPA database with ≈900 molecules, analyzing with interpretable machine learning (ML) the key molecular features explaining TPA magnitudes, and building a fast ML model for predictions. The ML model has prediction errors of similar magnitude compared to experimental and affordable QC methods errors…
-
Artikel Jurnal Teks lengkap
Machine learning assisted quantum super-resolution microscopy
…time-consuming acquisition of multi-photon event histograms. We present a machine learning-assisted approach for the realization of rapid antibunching super-resolution imaging and demonstrate 12 times speed-up compared to conventional, fitting-based autocorrelation measurements. The developed…
-
Artikel Jurnal Teks lengkap
Machine Learning and Medication Adherence: Scoping Review
BACKGROUND: This is the first scoping review to focus broadly on the topics of machine learning and medication adherence. OBJECTIVE: This review aims to categorize, summarize, and analyze literature focused on using machine learning for actions related to medication adherence. METHODS: PubMed…
-
Artikel Jurnal Teks lengkap
On the Applicability of Quantum Machine Learning
In this article, we investigate the applicability of quantum machine learning for classification tasks using two quantum classifiers from the Qiskit Python environment: the variational quantum circuit and the quantum kernel estimator (QKE). We provide a first evaluation on the performance of these…
-
Artikel Jurnal Teks lengkap
Characterizing Uncertainty in Machine Learning for Chemistry
[Image: see text] Characterizing uncertainty in machine learning models has recently gained interest in the context of machine learning reliability, robustness, safety, and active learning. Here, we separate the total uncertainty into contributions from noise in the data (aleatoric) and…
-
Artikel Jurnal Teks lengkap
Machine learning-based guilt detection in text
…into guilt and no-guilt classes. We experimented with traditional machine learning methods using bag-of-words and term frequency-inverse document frequency features, achieving a 72% f1 score with the highest-performing model. Our study provides a first step towards understanding guilt in text and…
-
Artikel Jurnal Teks lengkap
Finding defects in glasses through machine learning
…hard to directly identify them in computer simulations. We introduce a machine learning approach to efficiently explore the potential energy landscape of glass models and identify desired classes of defects. We focus in particular on TLS and we design an algorithm that is able to rapidly predict…
-
Artikel Jurnal Teks lengkap
Machine learning and disease prediction in obstetrics
Machine learning technologies and translation of artificial intelligence tools to enhance the patient experience are changing obstetric and maternity care. An increasing number of predictive tools have been developed with data sourced from electronic health records, diagnostic imaging and digital…
-
Artikel Jurnal Teks lengkap
Generating Flavor Molecules Using Scientific Machine Learning
…flavoring properties. In this context, this work brings up a scientific machine learning (SciML) approach to address this product engineering need. SciML in computational chemistry has opened paths in the compound’s property prediction without requiring synthesis. This work proposes a novel…
-
Artikel Jurnal Teks lengkap
Opportunities for human factors in machine learning
INTRODUCTION: The field of machine learning and its subfield of deep learning have grown rapidly in recent years. With the speed of advancement, it is nearly impossible for data scientists to maintain expert knowledge of cutting-edge techniques. This study applies human factors methods to the field…
-
Artikel Jurnal Teks lengkap
Precision medicine in oncology - machine learning recommendations
The article describes recommendations related to machine learning methods in oncology.
-
Artikel Jurnal Teks lengkap
Using machine learning for healthcare treatment planning
We present a methodology for using machine learning for planning treatments. As a case study, we apply the proposed methodology to Breast Cancer. Most of the application of Machine Learning to breast cancer has been on diagnosis and early detection. By contrast, our paper focuses on applying…
-
Artikel Jurnal Teks lengkap
Advances in Corneal Diagnostics Using Machine Learning
…are crucial points of discussion. This paper also examines the use of machine learning models, specifically Decision Tree and Nearest Neighbor Analysis, which enhance the accuracy of diagnosing based on topographical corneal parameters from corneal topography. These models provide valuable insights…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.