1.127 hasil untuk machine learning
Menampilkan 1–20 · 1,08 detik · RSS
-
Artikel Jurnal Teks lengkap
Machine learning algorithms review
Machine learning is a field of study where the computer can learn for itself without a human explicitly hardcoding the knowledge for it. These algorithms make up the backbone of machine learning. This paper aims to study the field of machine learning and its algorithms. It will examine different…
-
Artikel Jurnal Teks lengkap
Machine Learning in Earthquake Seismology
Machine learning (ML) is a collection of methods used to develop understanding and predictive capability by learning relationships embedded in data. ML methods are becoming the dominant approaches for many tasks in seismology. ML and data mining techniques can significantly improve our capability…
Dari koleksi institusi
- Analsisi Sentimen Penipuan Asuransi Menggunakan Machine LearningRahmadi Setiawan · 2025 · UNILAK
- Analsis Sentimen Terhadap Kripto Menggunakan Metode Machine LearningHaris Hibulloh · 2026 · UNILAK
-
Artikel Jurnal Teks lengkap
Explainable machine learning in materials science
Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explainable artificial intelligence (XAI), an emerging research…
-
Artikel Jurnal Teks lengkap
Fairness in Machine Learning: A Survey
When Machine Learning technologies are used in contexts that affect citizens, companies as well as researchers need to be confident that there will not be any unexpected social implications, such as bias towards gender, ethnicity, and/or people with disabilities. There is significant literature on…
-
Artikel Jurnal Teks lengkap
Machine learning in aerodynamic shape optimization
Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data and continued developments in deep learning. We review the applications of ML in ASO to date and provide a perspective on the state-of-the-art and future…
-
Artikel Jurnal
Probabilistic weather forecasting with machine learning
…relies on physics-based simulations of the atmosphere. Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced ML-based models with less forecast error than single NWP simulations 2,3 . However, these advances have focused primarily on single, deterministic forecasts…
-
Artikel Jurnal Teks lengkap
Colloquium : Machine learning in nuclear physics
Nuclear physics deals with complex systems, large datasets, and complicated correlations between parameters, which makes the field suitable for the application of machine learning techniques. Machine learning can help classify and analyze data, find hidden correlations, and assist in the design of…
-
Artikel Jurnal Teks lengkap
Quantum machine learning beyond kernel methods
Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensively. Yet, our understanding of how these models…
-
Artikel Jurnal Teks lengkap
Stroke Risk Prediction with Machine Learning Techniques
…and promoting a healthy life. In this research work, with the aid of machine learning (ML), several models are developed and evaluated to design a robust framework for the long-term risk prediction of stroke occurrence. The main contribution of this study is a stacking method that achieves a high…
-
Artikel Jurnal Teks lengkap
An Unsupervised Machine Learning Algorithms: Comprehensive Review
Machine learning (ML) is a data-driven strategy in which computers learn from data without human intervention.The outstanding ML applications are used in a variety of areas.In ML, there are three types of learning problems: Supervised, Unsupervised, and Semi-Supervised Learning.Examples of…
-
Artikel Jurnal
Combustion machine learning: Principles, progress and prospects
…for extracting new knowledge and insights—if harnessed effectively. Machine learning (ML) techniques have demonstrated remarkable success in data analytics, thus offering a new paradigm for data-intense analyses and scientific investigations through combustion machine learning (CombML). While…
-
Artikel Jurnal Teks lengkap
The Role of Machine Learning in Cybersecurity
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a significant discrepancy between research and practice. Such…
-
Artikel Jurnal Teks lengkap
Crop Prediction Model Using Machine Learning Algorithms
Machine learning applications are having a great impact on the global economy by transforming the data processing method and decision making. Agriculture is one of the fields where the impact is significant, considering the global crisis for food supply. This research investigates the potential…
-
Artikel Jurnal Teks lengkap
Small data machine learning in materials science
Abstract This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data. Then, the workflow of materials machine learning has been introduced. Next, the methods of dealing with small data were introduced, including data…
-
Artikel Jurnal
Machine learning–enabled high-entropy alloy discovery
…often fail in high-dimensional composition spaces. We propose an active learning strategy to accelerate the design of high-entropy Invar alloys in a practically infinite compositional space based on very sparse data. Our approach works as a closed-loop, integrating machine learning with…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.