Prediction of compressive strength of rice husk ash concrete based on stacking ensemble learning model

Q Li, Z Song - Journal of Cleaner Production, 2023 - Elsevier
By replacing cement in concrete production with rice husk ash (RHA), the amount of cement
used and its environmental impact can be reduced. The objective of this study is to …

A first computational frame for recognizing heparin-binding protein

W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …

Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram …

MB Bin Heyat, F Akhtar, SJ Abbas, M Al-Sarem… - Biosensors, 2022 - mdpi.com
In the modern world, wearable smart devices are continuously used to monitor people's
health. This study aims to develop an automatic mental stress detection system for …

Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings

H Zulfiqar, Z Guo, RM Ahmad, Z Ahmed, P Cai… - Frontiers in …, 2024 - frontiersin.org
Snake venom contains many toxic proteins that can destroy the circulatory system or
nervous system of prey. Studies have found that these snake venom proteins have the …

Phage_UniR_LGBM: phage virion proteins classification with UniRep features and LightGBM model

W Bao, Q Cui, B Chen, B Yang - … and mathematical methods in …, 2022 - Wiley Online Library
Phage, the most prevalent creature on the planet, serves a variety of critical roles. Phage's
primary role is to facilitate gene‐to‐gene communication. The phage proteins can be …

A statistical analysis of the sequence and structure of thermophilic and non-thermophilic proteins

Z Ahmed, H Zulfiqar, L Tang, H Lin - International Journal of Molecular …, 2022 - mdpi.com
Thermophilic proteins have various practical applications in theoretical research and in
industry. In recent years, the demand for thermophilic proteins on an industrial scale has …

[HTML][HTML] Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods

H Zulfiqar, Z Guo, BK Grace-Mercure, ZY Zhang… - Computational and …, 2023 - Elsevier
Hormone binding proteins (HBPs) belong to the group of soluble carrier proteins. These
proteins selectively and non-covalently interact with hormones and promote growth …

iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA

W Su, XQ Xie, XW Liu, D Gao, CY Ma, H Zulfiqar… - International Journal of …, 2023 - Elsevier
Abstract RNA N4-acetylcytidine (ac4C) is the acetylation of cytidine at the nitrogen-4
position, which is a highly conserved RNA modification and involves a variety of biological …

A systematic review on the state-of-the-art strategies for protein representation

ZX Yue, TC Yan, HQ Xu, YH Liu, YF Hong… - Computers in Biology …, 2023 - Elsevier
The study of drug-target protein interaction is a key step in drug research. In recent years,
machine learning techniques have become attractive for research, including drug research …

[HTML][HTML] Improving the capability of water vapor retrieval from Landsat 8 using ensemble machine learning

Y Wu, N Jiang, Y Xu, TK Yeh, T Xu, Y Wang… - International Journal of …, 2023 - Elsevier
Precipitable water vapor (PWV) facilitates the exchange of water and energy between the
Earth's surface and the surrounding atmosphere. PWV can be retrieved by employing the …