Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis by Ying Li, Xiao Zhang, Yu Liang, Qianqian Li

“…We introduce a deep dual-layer self-supervised algorithm for community detection and analyze controversy within this network. …”
Get full text

Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method by Jiwen Zhang, Shaojie Liu, Xingxing Huang, Wen Tan, Donghai Li, Zhengwei Wang

Get full text

Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

Get full text

ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

“…This should be a valuable tool for anyone performing lower urinary tract research using mouse models.…”
Get full text

Prediction of rock burst risk in underground openings based on intuitionistic fuzzy set by Xin Wang, Kebin Shi, Quan Shi, Heng Zhang, Liqiang Bai

“…The predicted results align well with the actual excavation results, indicating that this model has high accuracy and reliability, and can provide a new research perspective for rock burst prediction.…”
Get full text

Forecasting the vapor pressure deficit in vertical farming facilities aiming to provide optimal indoor conditions by Carlos Alejandro Perez Garcia, Dafni Despoina Avgoustaki, Enrica Santolini, Daniele Torreggiani, Thomas Bartzanas, Patrizia Tassinari, Marco Bovo

“…However, this requires ideal indoor climatic conditions to achieve maximum crop yield and quality. This research develops and validates a prediction model based on NeuralProphet algorithm to assess the vapor pressure deficit in a vertical farming facility. …”
Get full text

On the Search for Supersingular Elliptic Curves and Their Applications by Ismel Martinez-Diaz, Rashad Ali, Muhammad Kamran Jamil

“…These curves were used to create cycles inside the isogeny graph in one particular application. The research shows how the design of S-boxes may strategically use these supersingular elliptic curves. …”
Get full text

Identifying novel risk factors for aneurysmal subarachnoid haemorrhage using machine learning by Jos P. Kanning, Junfeng Wang, Shahab Abtahi, Mirjam I. Geerlings, Ynte M. Ruigrok

“…Using the UK Biobank, we identified aSAH cases via hospital-based ICD codes and analysed 618 baseline variables covering demographics, lifestyle, medical history, and physical measurements. The CatBoost ML algorithm and Shapley Additive Explanations (SHAP) identified the top 25 variables most influential in predicting aSAH. …”
Get full text

Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges by Huajin Lei, Hongyi Li, Hongyu Zhao

“…This study offers high-quality and long-term alternative data for hydrometeorology research. Meanwhile, XDMF is a promising algorithm for enhancing precipitation in high-altitude mountain areas, which can be flexibly transferred to other regions, different machine learning algorithms, and various hydrometeorological variables.…”
Get full text

Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM by Nilo Legowo, Wilyu Mahendra Bad

“…By utilizing the K-Means algorithm for data clustering and K-NN for measuring inter-point distances, the study identifies outliers that warrant further investigation by the company. …”
Get full text

Device for investigating thermal stability of characteristics of voltage-to-frequiency converters by Viktor Zavadsky, Roman Kharchenko, Sergii Dranchuk, Volodymyr Tsatsko

“…The article presents the research results on a device for automatic measurement of the temperature stability of the output characteristics of voltage-to-frequency converters. …”
Get full text

Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections by Ziyi Lu, Tianxiong Wu, Jinshan Su, Yunting Xu, Bo Qian, Tianqi Zhang, Haibo Zhou

“…Second, this problem is solved with low complexity by the Edge Intelligence Optimal Entry Time (EI-OET) algorithm based on edge-cloud computing power support. …”
Get full text

Manifold embeddings achieve comparable performance with multispectral imagery for time-series based land disturbance detection by Mengyao Li, Jianbo Qi, Su Ye, Qiao Wang

“…This research highlights the potential of manifold learning to efficiently store and process dense satellite imagery while maintaining the ability to detect diverse land disturbances.…”
Get full text

Technologies applied to Geomorphology teaching – Virtual Reality and digital models by Anna Sabrina Vidal de Souza, Rubson Pinheiro Maia, Hudson Rocha, Mariana Barros de Araújo, Pedro Edson de Face Moura

“…Through photogrammetry and digital modeling using the Structure from Motion algorithm and gamification in Virtual reality, it is possible to simulate, in an immersive environment, a multissensorial and practical experience, reproducing the fieldwork virtually. …”
Get full text

Advancing Meibography Assessment and Automated Meibomian Gland Detection Using Gray Value Profiles by Riccardo Forni, Ida Maruotto, Anna Zanuccoli, Riccardo Nicoletti, Luca Trimigno, Matteo Corbellino, Sònia Travé-Huarte, Giuseppe Giannaccare, Paolo Gargiulo

Get full text

CFD-based optimization of dynamic cyclones with variable vortex length using GMDH artificial neural network by Hamed Safikhani, Somayeh Davoodabadi Farahani, Lakhbir Singh Brar, Faroogh Esmaeili

“…However, optimizing their performance remains a challenge due to complex fluid–particle interactions. This research introduces a three-step multi-objective optimization framework for dynamic cyclones with adjustable vortex length. …”
Get full text

A method to evaluate the functional state of the human brain after acute in-hospital stroke by K. S. Brazovskii, D. A. Vinokurova, V. A. Strezh, V. Yu. Ussov

Get full text

Design and assessment of AI-based learning tools in higher education: a systematic review by Jihao Luo, Chenxu Zheng, Jiamin Yin, Hock Hai Teo

“…Lastly, we provide recommendations for optimizing the design and implementation of AI-based learning tools in higher education and outline promising directions for future research in this field.…”
Get full text

Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

Get full text

Wasserstein GAN for moving differential privacy protection by Enze Liu, Zhiguang Chu, Xing Zhang

“…Balancing data utility with reasonable incorporation of differential privacy is a key challenge in this research area. Traditional differentially private stochastic gradient descent (DP-SGD) algorithms use fixed gradient clipping and noise addition, leading to unstable updates and poor gradient convergence. …”
Get full text