The RoBERTa model, based on BERT and trained on patent data, has proven highly effective in identifying semantic similarities between technological classes and their patent summaries, achieving an accuracy significantly greater than 80%, regardless of the similarity threshold. The LDA topic analysis ...
The paper is divided into multiple sections. In the following section, we provide a consistent basic concept and equation for VOI computation. Second, we propose a workflow of assessing VOI usingmachine learning methodsand, following this, we test the proposed methodology by implementing it in an ...
5 application of machine learning in smart agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. through a global lens, the book approaches the subject from a technical ...
Data analytics workflow typical of Machine Learning From a modelling standpoint, a DT entails the translation of physical entities into virtual space, with the objective of closely mirroring the behaviour of the real system through its virtual representation. In this scenario, both physics-based (whit...
From machine learning (ML) to deep learning (DL) AI refers to the field of computer science that mimics human cognitive function [19]. ML is a subfield of AI that allows computers to learn from a set of data and subsequently make predictions; these processes can be classified as supervised...
Pump fault diagnosis is essential for the maintenance and safety of the device as it is an important appliance used in various major sectors. Fault diagnosis at the proper time can reduce maintenance costs and save energy. This article uses a Simulink mo
Quick and accurate medical diagnoses are crucial for the successful treatment of diseases. Using machine learning algorithms and based on laboratory blood test results, we have built two models to predict a haematologic disease. One predictive model used
Exhibition-of-Master-Wan-Ko-Yee's-Amazing-Achievement-in-the-Form-of-World-Class-Treasures 热度: AN APPLICATION OF MACHINE LEARNING TO BAD PAGE PREDICTION IN MULTILEVEL FLASH(机器学习在多层次闪存错误页面预测中的应用) 热度: Supervised Machine Learning: A Review of Classification Techniques ...
In this work, we provide a more consistent alternative for performing value of information (VOI) analyses to address sequential decision problems in reservoir management and generate insights on the process of reservoir de
Given these successful applications to rock mechanics problems, the application of machine learning models can further be extended to rock dynamics to improve our ability to forecast the rate-dependent strength of rocks. This study aimed to use machine learning models to predict the compressive ...