204,674 results for machine learning
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Journal Article
Volcanic Ash Classification Through Machine Learning
…are not standardized and vary across samples. Here we explore the use of machine learning (ML) to improve the classification accuracy and reproducibility. We use a curated database of ash particles (VolcAshDB) to optimize and train two ML‐based models: Extreme Gradient Boosting (XGBoost) that uses…
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Journal Article
Causal Machine Learning for Surgical Interventions
…and heterogeneous data. In this study, we develop a multi-task meta-learning framework, X-MultiTask, for ITE estimation that models each surgical decision (e.g., anterior vs. posterior approach, surgery vs. no surgery) as a distinct task while learning shared representations across tasks. To…
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Journal Article
Beyond sequence: Structure-based machine learning
…protein structure information is as prevalent and ubiquitous as sequence. Machine learning in protein bioinformatics has been dominated by sequence-based methods, but this is now changing to make use of the deluge of rich structural information as input. Machine learning methods making use of…
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Journal Article
Predicting hypertension control using machine learning.
…will be controlled. This project endeavors to investigate whether machine learning can accurately predict the control of a patient's hypertension within 12 months of a clinical encounter. To build the machine learning model, a retrospective review of the electronic medical records of 350,008…
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Journal Article
Machine learning for neutron source distributions
In light of the recent advancements in machine learning (ML), we propose a novel approach to neutron source distribution estimation through the utilization of probabilistic generative models (PGMs). The estimation is based on a Monte Carlo particle list, which is only required during the training…
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Journal Article
Predicting galaxy bias using machine learning
…described through the galaxy bias, b, can be studied effectively using machine-learning (ML) techniques, which offer strong predictive capabilities and can capture nonlinear relationships in high-dimensional data. Recent work has also highlighted the need for probabilistic methods to properly…
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Journal Article Full text
Machine Learning in Tourism Revenue Management
Machine learning algorithms increase the efficiency of revenue management systems. Real-time data processing, customization, and automation are the key features that make it possible to overcome the performance of old systems in determining the price and time for a satisfactory offer and maximize…
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Journal Article
Machine Learning in the National Economy
This article examines the application of machine learning in the national economy. It describes the main concepts and methods of machine learning, including supervised, unsupervised, and reinforcement learning. Key areas of using this technology in the economy are analyzed, such as market trend…
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Journal Article Full text
Movie recommendation system using machine learning
Nowadays, the recommendation system has made finding the things easy that we need. Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie to watch without having to go through the long process of choosing from a large set of movies which go up to thousands and…
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Journal Article
Machine learning predicts sepsis deterioration trajectories
…trajectory modeling identified latent recovery patterns. An ensemble machine-learning model incorporating dynamic physiological variability was trained, temporally validated, and externally tested; clinical impact was assessed following implementation. Three trajectories emerged: rapid recovery…
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Journal Article
Machine learning vehicle fuel efficiency prediction
…decisions. Therefore, we propose a comprehensive framework that uses machine learning to predict fuel efficiency by integrating various vehicle information. The proposed method comprises a predictive model and analysis framework utilizing key vehicle attributes, such as fuel type, engine…
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Journal Article Full text
Machine Learning-Driven Innovations in Microfluidics
…diverse applications. This review investigates the incorporation of machine learning (ML) into the design, fabrication, and application of microfluidic biosensors, emphasizing how ML algorithms enhance performance by improving design accuracy, operational efficiency, and the management of complex…
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Empowering Software Development with Machine Learning
Machine learning (ML) has emerged as a transformative technology across various domains, including software development. This paper delves into the significant roles ML plays in enhancing and optimizing the software development lifecycle (SDLC). By integrating ML into different phases of software…
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Journal Article
Primer on Machine Learning in Electrophysiology
Artificial intelligence has become ubiquitous. Machine learning, a branch of artificial intelligence, leads the current technological revolution through its remarkable ability to learn and perform on data sets of varying types. Machine learning applications are expected to change contemporary…
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Journal Article Full text
House Market Prediction Using Machine Learning
This study compares tree-based machine learning algorithms for predicting Bucharest residential apartment prices. Using a dataset from March 2025, comprehensive preprocessing—including imputation, categorical encoding, and feature engineering (e.g., distance to public transport)—was applied. Models…
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Journal Article
Characterizing privacy in quantum machine learning
Abstract Ensuring data privacy in machine learning models is critical, especially in distributed settings where model gradients are shared among multiple parties for collaborative learning. Motivated by the increasing success of recovering input data from the gradients of classical models, this…
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Machine Learning for Wind Speed Estimation
…employed to assess wind speeds in urban settings. However, the advent of machine learning (ML) has introduced innovative methodologies that extend beyond these conventional approaches, offering new insights and applications in architectural design. This study focuses on evaluating pedestrian-level…
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Journal Article
Enhanced chaotic communication with machine learning
…pose considerable challenges to practical applications. In this work, a machine-learning-based framework is proposed for the chaotic shift keying scheme, which is robust against noise deterioration. Specifically, we adopt the reservoir computing technique with noise training schema to enhance the…
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Journal Article Full text
Elliptic Curve Cryptography with Machine Learning
…In parallel, the integration of artificial intelligence, particularly machine learning, in various applications has increased the demand for robust cryptographic systems to ensure safety and security. In this paper, we present an overview of machine learning and Elliptic Curve Cryptography…
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Journal Article
Machine learning for medical image classification
This review article focuses on the application of machine learning (ML) algorithms in medical image classification. It highlights the intricate process involved in selecting the most suitable ML algorithm for predicting specific medical conditions, emphasizing the critical role of real-world data…
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