3.327 hasil untuk machine learning
Menampilkan 221–240 · 4,85 detik · RSS
-
Artikel Jurnal
Machine-learning predictions of polymer properties with Polymer Genome
Polymer Genome is a web-based machine-learning capability to perform near-instantaneous predictions of a variety of polymer properties. The prediction models are trained on (and interpolate between) an underlying database of polymers and their properties obtained from first principles computations…
-
Artikel Jurnal Teks lengkap
Air Temperature Forecasting Using Machine Learning Techniques: A Review
…and the public. The primary aim of this study is to review the different machine learning strategies for temperature forecasting, available in the literature, presenting their advantages and disadvantages and identifying research gaps. This survey shows that Machine Learning techniques can help to…
-
Artikel Jurnal Teks lengkap
Image-Based Cardiac Diagnosis With Machine Learning: A Review
…cardiac structure and function. However, with the advent of big data and machine learning, new opportunities are emerging to build artificial intelligence tools that will directly assist the clinician in the diagnosis of CVDs. This paper presents a thorough review of recent works in this field and…
-
Artikel Jurnal Teks lengkap
Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in various industries, especially medicine. AI describes computational programs that mimic and simulate human intelligence, for example, a person’s behavior in solving problems or his ability for learning…
-
Artikel Jurnal Teks lengkap
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
…evolution to improve its "fitness" for a desired application. Recently, machine learning (ML) has emerged as a powerful tool to complement this empirical process. ML models can contribute to (1) starting point discovery by functional annotation of known protein sequences or generating novel protein…
-
Artikel Jurnal Teks lengkap
Machine Learning in Tropical Cyclone Forecast Modeling: A Review
…demonstrates the ongoing progress as well as the many remaining problems. Machine learning, as a means of artificial intelligence, has been certified by many researchers as being able to provide a new way to solve the bottlenecks of tropical cyclone forecasts, whether using a pure data-driven model…
-
Artikel Jurnal Teks lengkap
Information-Theoretic Bounds on Quantum Advantage in Machine Learning
We study the performance of classical and quantum machine learning (ML) models in predicting outcomes of physical experiments. The experiments depend on an input parameter x and involve execution of a (possibly unknown) quantum process E. Our figure of merit is the number of runs of E required to…
-
Artikel Jurnal Teks lengkap
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
…and fully utilizing the accumulation of such enormous amounts of data. Machine learning-based approaches play a critical role in integrating and analyzing these large and complex datasets, which have extensively characterized lung cancer through the use of different perspectives from these accrued…
-
Artikel Jurnal Teks lengkap
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
…mapping is vital to safeguard life and property. This article surveys machine learning (ML) models used for landslide susceptibility mapping to understand the current trend by analyzing published articles based on the ML models, landslide causative factors (LCFs), study location, datasets…
-
Artikel Jurnal
Deepfake Audio Detection via MFCC Features Using Machine Learning
…audio deepfakes have employed the ASVSpoof or AVSpoof dataset and various machine learning, deep learning, and deep learning algorithms. This research uses machine and deep learning-based approaches to identify deepfake audio. Mel-frequency cepstral coefficients (MFCCs) technique is used to acquire…
-
Artikel Jurnal
An accurate and transferable machine learning potential for carbon.
We present an accurate machine learning (ML) model for atomistic simulations of carbon, constructed using the Gaussian approximation potential (GAP) methodology. The potential, named GAP-20, describes the properties of the bulk crystalline and amorphous phases, crystal surfaces, and defect…
-
Artikel Jurnal Teks lengkap
Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms
Accurate estimation of drought events is vital for the mitigation of their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising methods for drought prediction as they require less time, minimal inputs, and are relatively less complex than…
-
Artikel Jurnal Teks lengkap
70 years of machine learning in geoscience in review
This review gives an overview of the development of machine learning in geoscience.A thorough analysis of the co-developments of machine learning applications throughout the last 70 years relates the recent enthusiasm for machine learning to developments in geoscience.I explore the shift of kriging…
-
Artikel Jurnal Teks lengkap
Efficient English text classification using selected Machine Learning Techniques
Text classification (TC) is an approach used for the classification of any kind of documents for the target category or out. In this paper, we implemented the Support Vector Machines (SVM) model in classifying English text and documents. Here we did two analytical experiments to check the selected…
-
Artikel Jurnal Teks lengkap
Provably efficient machine learning for quantum many-body problems
Classical machine learning (ML) provides a potentially powerful approach to solving challenging quantum many-body problems in physics and chemistry. However, the advantages of ML over traditional methods have not been firmly established. In this work, we prove that classical ML algorithms can…
-
Artikel Jurnal Teks lengkap
A Survey on Bias and Fairness in Machine Learning
…or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and…
-
Artikel Jurnal Teks lengkap
Building thermal load prediction through shallow machine learning and deep learning
-
Artikel Jurnal Teks lengkap
Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning
…premotor stage in PD should be carefully monitored. An innovative deep-learning technique is introduced to early uncover whether an individual is affected with PD or not based on premotor features. Specifically, to uncover PD at an early stage, several indicators have been considered in this study…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.