Academic Articles & Research Papers

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

A Gradient Boosting-Based Machine Learning Model for the Prediction of the Hardness of Thermoplastic Polymers.

Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions

Abstract With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintain...

Uncovering Psychographic Segments in Indonesia’s Modest-Fashion Market Using VALS and K‑Means Clustering

Background: The Muslim fashion industry in Indonesia continues to expand rapidly, reflecting the dynamic intersection between cultural values and global-style trends. However, many small and medium-sized enterprises (SMEs) still rely on con...

Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study.

Predicting adolescent depression: an interpretable machine learning model.

Xue model exploration for oxytactic microbes in radiative MHD hybrid nanoliquid using machine learning technique.

Machine learning models integrating 2D and 3D intratumoral heterogeneity features from multi-sequence MRI: accurate prediction of perineural invasion in pancreatic ductal adenocarcinoma.

Culturally aware comparative evaluation of machine learning and deep learning models for cyberbullying detection.

Discovery of potential ALK inhibitors from Glycosmis phytochemicals via integrated machine learning and umbrella sampling approaches.

Incorporating natural language processing-derived features from pathology reports into machine learning models to predict differentiated thyroid cancer recurrence.

Adsorption-assisted removal of chlorinated pollutants using a magnetically recoverable Fe(3)O(4)/CeO(2) nanocomposite: kinetics, machine learning and first-principle insights.

Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis.

Integrating multivariate and machine learning approaches to decipher drought tolerance in okra (Abelmoschus esculentus L.).

Interpretable machine learning for identifying cost drivers of inpatient traditional Chinese medicine services in a tertiary hospital in China.

Explainable machine learning for predicting in-hospital mortality in acute heart failure: a prospective single-center cohort study from Vietnam.

Integrating multi-omics and machine learning to reveal IL1R2-driven macrophage-fibroblast spatial interactions in polycyclic aromatic hydrocarbon-induced pulmonary fibrosis.

Transforming neurophysiological data into measurable stress metric using machine learning-based stress quantification framework for smart factory workers.

Integrated machine learning and in vitro pipeline for TRPA1-active chemesthetic flavor compounds: From predictive screening to molecular mechanisms.

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction.