Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review [PDF]
, 2020 The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields.
Iskandaryan, Ditsuhi +2 more
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Research on electrical power quality disturbance recognition method based on edge computing and LightGBM [PDF]
ITM Web of Conferences, 2022 In conventional cloud computing, method that data is transmitted and calculated on the cloud cannot satisfy the real-time demand for energy quality disturbance recognition.
Zhu Wenjun +4 more
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A LightGBM-Based EEG Analysis Method for Driver Mental States Classification [PDF]
, 2019 Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated ...
Babiloni, Fabio +7 more
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Automatic identification of forest species using machine learning methods based on satellite image processing [PDF]
Известия Саратовского университета. Новая серия: Серия Науки о ЗемлеMonitoring of the condition and species diversity of tree species plays a significant role in the forest resource management. The emergence of high-quality multispectral satellite images opens up opportunities for using information about vegetation in a ...
Ogneva, Marina V. +3 more
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Consistent and Flexible Selectivity Estimation for High-dimensional Data
, 2020 Selectivity estimation aims at estimating the number of database objects that satisfy a selection criterion. Answering this problem accurately and efficiently is essential to many applications, such as density estimation, outlier detection, query ...
Ishikawa, Yoshiharu +7 more
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Human action recognition method based on multi-view semi-supervised ensemble learning
网络与信息安全学报, 2021 Mass labeled data are hard to get in mobile devices. Inadequate training leads to bad performance of classifiers in human action recognition. To tackle this problem, a multi-view semi-supervised ensemble learning method was proposed.
CHEN Shengnan, FAN Xinmin
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Travel Time Prediction using Tree-Based Ensembles
, 2020 In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu +12 more
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Visual diagnosis of tree boosting methods [PDF]
, 2018 Tree boosting, which combines weak learners (typically decision trees) to generate a strong learner, is a highly effective and widely used machine learning method.
Liu, Junlin +5 more
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Klasifikasi Malware Android Dengan Menggunakan Metode LightGBM Algoritma [PDF]
, 2023 By 2023, approximately 3.6 billion people worldwide were using Android smartphones. With a global market share of 71.75% by the end of 2022, Android stood out as the most widely used operating system.
Aldy, Hadid Ray
core
Dianxin kexue随着经济的发展和一线城市生活压力的增大，越来越多的人迁移城市以及返回家乡发展，为了高效服务用户和提升用户产品使用体验，提出基于LightGBM、CatBoost等算法来预测返乡发展人群，并进行了异构模型融合。通过模型对比，所提融合模型有更好的效果，可以为服务和产品提供依据，减少流失优化感知，提高市场保有率。
杜昭1, 谢国城2, 陈静旋2, 张伟斌1
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