204.674 hasil untuk machine learning
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Artikel Jurnal
Improving Enzyme Fitness with Machine Learning
The combinatorial composition of proteins has triggered the application of machine learning in enzyme engineering. By predicting how protein sequence encodes function, researchers aim to leverage machine learning models to select a reduced number of optimized sequences for laboratory measurement…
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Machine Learning Based Restaurant Sales Forecasting
To encourage proper employee scheduling for managing crew load, restaurants need accurate sales forecasting. This paper proposes a case study on many machine learning (ML) models using real-world sales data from a mid-sized restaurant. Trendy recurrent neural network (RNN) models are included for…
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Artikel Jurnal
Machine learning phases in swarming systems
Recent years have witnessed a growing interest in using machine learning to predict and identify phase transitions (PTs) in various systems. Here we adopt convolutional neural networks (CNNs) to study the PTs of Vicsek model, solving the problem that traditional order parameters are insufficiently…
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Machine learning-accelerated aerodynamic inverse design
…the early iterations of the inverse design was incorporated into two deep-learning models to accelerate target geometry attainment. The deep learning models were used to recognize the correlation between the pressure distribution and corresponding geometry as well as the meaningful changes of…
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Artikel Jurnal Teks lengkap
Special Issue “Machine Learning in Insurance”
It is our pleasure to prologue the special issue on “Machine Learning in Insurance”, which represents a compilation of ten high-quality articles discussing avant-garde developments or introducing new theoretical or practical advances in this field [...]
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Artikel Jurnal
INVESTIGATION MACHINE LEARNING MODEL USING STREAMLIT
Background. MLOps (Machine Learning Operations) is a relevant and important topic in the field of machine learning. It brings together the practices and processes needed to effectively develop, deploy, and manage machine learning models. Materials and methods. To predict complications after…
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Artikel Jurnal
Disentangling Jenny’s equation by machine learning
…In this work, we take a first step to unlock this expression, showing how Machine Learning can be used to predictably relate soil types and environmental factors. Our method outperforms other conventional statistical analyses that can be carried out on the same forming factors defined by measurable…
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Artikel Jurnal Teks lengkap
Machine Learning for Energy Systems Optimization
This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021” and review the trends in machine learning (ML) techniques for energy system (ES) optimization [...]
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Artikel Jurnal Teks lengkap
Groundwater Prediction Using Machine-Learning Tools
Predicting groundwater availability is important to water sustainability and drought mitigation. Machine-learning tools have the potential to improve groundwater prediction, thus enabling resource planners to: (1) anticipate water quality in unsampled areas or depth zones; (2) design targeted…
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Machine Learning for Light Sensor Calibration
Sunlight incident on the Earth’s atmosphere is essential for life, and it is the driving force of a host of photo-chemical and environmental processes, such as the radiative heating of the atmosphere. We report the description and application of a physical methodology relative to how an ensemble of…
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Multiscale Enhanced Sampling Using Machine Learning
…the CG model with the dynamics on the reduced subspace generated by a machine learning approach, the variational autoencoder (VAE). The molecular dynamic (MD) trajectories of the ribose-binding protein (RBP) in both the closed and open forms were used as the input by extracting the inter-residue…
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Artikel Jurnal
Machine learning corrected quantum dynamics calculations
…of quantum dynamics approximations. The method is based on a Bayesian machine learning (BML) algorithm that is trained by a small number of exact results and a large number of approximate calculations, resulting in ML models that can generalize exact quantum results to different dynamical…
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Artikel Jurnal Teks lengkap
DNS Firewall Based on Machine Learning
Nowadays there are many DNS firewall solutions to prevent users accessing malicious domains. These can provide real-time protection and block illegitimate communications, contributing to the cybersecurity posture of the organizations. Most of these solutions are based on known malicious domain…
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Special Issue on Applied Machine Learning
Machine learning (ML) is one of the most exciting fields of computing today [...]
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Artikel Jurnal Teks lengkap
Reinforcement Procedure for Randomized Machine Learning
This paper is devoted to problem-oriented reinforcement methods for the numerical implementation of Randomized Machine Learning. We have developed a scheme of the reinforcement procedure based on the agent approach and Bellman’s optimality principle. This procedure ensures strictly monotonic…
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Predicting Atlantic Hurricanes Using Machine Learning
…to minimize the risks and vulnerabilities in North and Central America. Machine learning is a newly tool that has been applied to make predictions about different phenomena. We present an original framework utilizing Machine Learning with the purpose of developing models that give insights into the…
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Machine Learning Methods in Drug Discovery
…fields and industries. In the fields of drug discovery and development, machine learning techniques have been used for the development of novel drug candidates. The methods for designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to…
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Artikel Jurnal
Machine learning for polyphenol-based materials
…difficult to meet the rapid development of polyphenol-based materials. Machine learning, known for its proficiency in predicting performance, optimizing synthesis processes, and designing novel materials, offers significant potential in the intelligent design and applications of polyphenol-based…
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