Results 201 to 210 of about 32,654 (268)

LightGBM Algorithm for Malware Detection

2020
In Zero-Day malware challenges, attackers take advantage of every second that the anti-malware vendor delays identifying the attacking malware signature and provide the updates. Furthermore, the longer the detection phase delayed, the greater the damage to the host device.
Mouhammd Al-kasassbeh, Mohammad A. Abbadi, Ahmed M. Al-Bustanji   +2 more
openaire   +1 more source

A variable weight combination prediction model for climate in a greenhouse based on BiGRU-Attention and LightGBM

Computers and Electronics in Agriculture
xiaojuan mao
exaly   +2 more sources

Forecasting Agricultural Trade Based on TCN-LightGBM Models: A Data-Driven Decision

Research on World Agricultural Economy
Facing the increasing complexity and dynamic fluctuations of the global agricultural trade market, accurate forecasting plays a key role in supporting agricultural policy formulation, stabilising the market and optimising resource allocation. In order to
Tianwen Zhao, Guoqing Chen, Thom Gatewongsa, P. Busababodhin   +3 more
semanticscholar   +1 more source

Gradient Boosting with XGBoost and LightGBM

2021
In this chapter, you will discover the gradient boosting model. In the previous chapter, you discovered the idea behind ensemble methods. As a recap, ensemble methods make powerful predictions by combining predictions of numerous small, less performant models.
openaire   +1 more source

Real-Time Social Media Sentiment Analysis: A Comparative Study of LightGBM and SVM

2025 International Conference on Electronics and Renewable Systems (ICEARS)
This paper explores the effectiveness of using LightGBM for sentiment analysis on Twitter, comparing it to Support Vector Machine (SVM), a traditional machine learning approach.
C. Anitha
semanticscholar   +1 more source

Prediction of Gestational Diabetes Based on LightGBM

Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare, 2020
Gestational diabetes mellitus (GDM) is associated with an increased risk of both short-term and long-term complications in mothers and infants. However, if lifestyle interventions are initiated at or before the 15th week of pregnancy, the risk of GDM could be reduced by 20% during pregnancy.
Fan Hou, ZhiXiang Cheng, LuoYao Kang, Wen Zheng   +3 more
openaire   +1 more source

Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks

The European Physical Journal Special Topics
Machine learning algorithms are now being extensively used in our daily lives, spanning across diverse industries as well as academia. In the field of high energy physics (HEP), the most common and challenging task is separating a rare signal from a much
A. Choudhury, Arpita Mondal, Subhadeep Sarkar   +2 more
semanticscholar   +1 more source

Ship Target Detection Based on LightGBM Algorithm

2020 International Conference on Computer Information and Big Data Applications (CIBDA), 2020
Along with the increasingly prominent role of ship automatic detection in the search and rescue of distressed ships, combating illegal fishing, marine traffic control and marine warfare, this paper proposes a ship detection method based on shape and texture features.
Zisen Zhong, Ying Li, Zhouzhou Han, Zhenliu Yang   +3 more
openaire   +1 more source

Ion channel prediction Using Lightgbm Model

2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2020
Many diseases, including cancer, is associated with Ion channels. Ion channels are pore-forming proteins in many creatures like animals and plants. They can help to encode memory and learning, fight infections and even enable pain signals. Liverpool university release a dataset of Ion channels to help researchers to find out the relationship between ...
openaire   +1 more source

Optimizing Retail Sales Forecasting Through a PSO-Enhanced Ensemble Model Integrating LightGBM, XGBoost, and Deep Neural Networks

2024 4th International Conference on Digital Society and Intelligent Systems (DSInS)
Accurate sales forecasting plays a critical role in inventory management, staffing, and promotion planning, especially in retail sectors like Rossmann stores.
Tian Jin
semanticscholar   +1 more source