Data-driven deformation prediction and control for existing tunnels below shield tunneling

Z Feng, J Wang, W Liu, T Li, X Wu, P Zhao - Engineering Applications of …, 2024 - Elsevier
In order to effectively and accurately control the existing adjacent tunnel deformation caused
by shield adjacent undercrossing construction, a hybrid intelligent framework for predicting …

A poverty index prediction model for students based on PSO-LightGBM

J Zhu, B Li, Z Wang - Annals of Operations Research, 2023 - Springer
Recognizing underprivileged students is a significant challenge in education. Machine
learning algorithms have been increasingly used to develop reliable methods for identifying …

Classification of post-covid-19 emotions with residual-based separable convolution networks and eeg signals

Q Abbas, AR Baig, A Hussain - Sustainability, 2023 - mdpi.com
The COVID-19 epidemic has created highly unprocessed emotions that trigger stress,
anxiety, or panic attacks. These attacks exhibit physical symptoms that may easily lead to …

Multi‐view rank‐based random forest: A new algorithm for prediction in esports

KU Birant - Expert Systems, 2022 - Wiley Online Library
The main problem associated with the random forest (RF) algorithm is its application of
random feature subset selection technique over a single vector. In this technique, the …

Benthic habitat sediments map** in coral reef area using amalgamation of multi-source and multi-modal remote sensing data

X Ji, B Yang, Z Wei, M Wang, Q Tang, W Xu… - Remote Sensing of …, 2024 - Elsevier
Scientific management of coral reefs is a global research topic due to their latent economic
value and ecological significance. This research benefits from optical and acoustic remote …

[HTML][HTML] MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification

G Mu, J Li, Z Liu, J Dai, J Qu, X Li - Biomimetics, 2025 - mdpi.com
With the advancement of the Internet, social media platforms have gradually become
powerful in spreading crisis-related content. Identifying informative tweets associated with …

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

S Chen, J Fan, A Abdollahi, N Ashrafi, K Alaei… - medRxiv, 2025 - medrxiv.org
Background: Intracerebral hemorrhage (ICH) is a life-risking condition characterized by
bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome …

A robust malware traffic classifier to combat security breaches in industry 4.0 applications

R Mangayarkarasi, C Vanmathi… - … : Practice and Experience, 2023 - Wiley Online Library
Summary Industry 4.0 integrates cyber systems, physical devices, and digital networks to
automate the industrial process. Many sectors aim to adopt the best practices outlined in …

Analysing and Identifying COVID-19 Risk Factors Using Machine Learning Algorithm with Smartphone Application

S Siddiqui, E Hossain, SM Asaduzzaman… - Inventive Systems and …, 2022 - Springer
This study is divided into risk factor analysis (RFA) and proposed system architecture (PSA).
The light gradient boosting machine (LightGBM) algorithm in the RFA will work with the PSA …

Predicting Unplanned Icu Readmissions Using Fine-Tuned Large Language Models: Insights and Implications

M Namvar, S Ameli, S Akhlaghpour, M Beheshti… - Available at SSRN … - papers.ssrn.com
IntroductionUnplanned ICU readmissions create substantial operational and economic
burdens within hospital systems. While Large Language Models (LLMs) offer novel …