Enabling data‐driven collaborative and reproducible environmental synthesis science by Julien Brun, Nicholas J. Lyon, Angel Chen, Ingrid Slette, Gabriel De La Rosa, Jennifer E. Caselle, Frank W. Davis, Martha R. Downs

“…Here we share our experiences in enabling researchers to do science more collaboratively and more reproducibly beyond any specific project, with long‐lasting effects on the way researchers conduct science. …”
Get full text

Investigating the biodiversity conservation capability of technological innovation and FinTech by Shayan Khan Kakar, Jing Wang, Noman Arshed, Tran Thi Le Hien, Nazir Muhammad Abdullahi

“…We provide the policy implications of our research.…”
Get full text

Formulation and prototype development of an emergency ration with long shelf life and evaluation of its sensory and microbial characteristics by Arasb Dabbagh Moghaddam, Afshin Akhondzadeh Basti, Seyed Ali Keshavarz, Abolfazl Kamkar, Anousheh Sharifan, Ali Misaghi, Taghi Zahraie Salehi, Seyed Abolghasem Jazayeri

Get full text

An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Conventional Schizophrenia diagnosis techniques are time- consuming and prone to error. The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
Get full text

Numerical simulation of unsteady airflow organization and cold island effect in air source heat pump unit by Jiashuo Zhou, Ronghua Wu, Hao Yu, Jiyou Lin, Hao Zhan, Shunjie Liu, Zhibin Wang

“…The findings reveal a maximum relative error of 14.5 % between the simulated and experimental COP results. …”
Get full text

Performance of STAR-RIS-Aided RSMA Networks: Impact of Correlated Fading Channels and SIC Imperfections by Eduardo Goncalves Gomes, Henry Ramiro Carvajal Mora, Edgar Eduardo Benitez Olivo

Get full text

Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…These findings highlight the potential of ML to support early CVD diagnosis and lay the groundwork for future research on hybrid models and real-world clinical applications.…”
Get full text

Enhanced nonlinear equalization for OFDM systems in IoT-based intelligent transportation using CGLS algorithms by Jafar Ababneh, Hani Attar, Zakaria Che Muda, Ilhami Colak, Mohanad A. Deif, Samir Bendoukha, Ahmed Solyman

Get full text

A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

Get full text

Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting by Isidro Fraga-Hurtado, Julio Rafael Gómez-Sarduy, Zaid García-Sánchez, Hernán Hernández-Herrera, Jorge Iván Silva-Ortega, Roy Reyes-Calvo

“…By integrating historical energy data from multiple photovoltaic plants, the research aims to improve the prediction accuracy of a target plant while addressing critical challenges in electric power systems (EPS), such as frequency stability. …”
Get full text

Temperature rise of high-speed bearing in gearbox of 5 MW wind turbine based on Bayesian-LightGBM and improved PSO-SVM troubleshooting by Minan Tang, Zhanglong Tao, Jiandong Qiu, Jinping Li, Mingyu Wang, Hongjie Wang, Chuntao Rao

“…In this paper, a combined modelling wind turbine gearbox high-speed bearing temperature rise prediction method based on Bayesian-LightGBM and improved PSO-SVM is proposed with a 5 MW wind turbine as the research object. Firstly, the initial dimensionality reduction of SCADA data is performed by sparse random projection matrix, which reduces the redundant data. …”
Get full text

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights by V. S. Shaisundaram, P. V. Elumalai, S. Padmanabhan, U. Nalini Ramachandran, Abhishek Kumar Tripathi, Cui Yaping, B. Nagaraj Goud, S. Prabhakar

“…Abstract Biodiesel presents a favourable economic outlook and environmental benefits, yet it faces limitations such as diminished calorific value and suboptimal combustion characteristics. Recent research focuses on enhancing biodiesel performance using nanoparticles and thermal barrier coatings. …”
Get full text

Segmentation and Fractional Coverage Estimation of Soil, Illuminated Vegetation, and Shaded Vegetation in Corn Canopy Images Using CCSNet and UAV Remote Sensing by Shanxin Zhang, Jibo Yue, Xiaoyan Wang, Haikuan Feng, Yang Liu, Meiyan Shu

Get full text

Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning by Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee

Get full text

Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

“…In this paper, the 1:1 complex model of commercial vehicle is taken as the research object to study the passive drag reduction of the commercial vehicle. …”
Get full text

Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems by Wissem Dilmi, Sami El Ferik, Fethi Ouerdane, Mustapha K. Khaldi, Abdul-Wahid A. Saif

“…Automation of logistics enhances efficiency, reduces costs, and minimizes human error. Image processing—particularly vision-based AI—enables real-time tracking, object recognition, and intelligent decision-making, thereby improving supply chain resilience. …”
Get full text

Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks by Giacomo Villa, Serena Cerfoglio, Alessandro Bonfiglio, Paolo Capodaglio, Manuela Galli, Veronica Cimolin

“…Given its portability, ease of use, and affordability, the IMU-based system presents a promising solution for motion analysis in both clinical and remote rehabilitation contexts, although future research should extend validation to pathological populations and longer monitoring periods.…”
Get full text

A study of O/X wave data assimilation and inversion for ionospheric vertical electron density profiles by Longlong Niu, Chen Zhou, Na Wei, Zhong-Xin Deng, Yun Ning, Rong Chen, Wen Liu

Get full text

Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

“…Although SOC estimation has become an active research area for the machine learning (ML) community, only a handful of works have considered its estimation at negative temperatures. …”
Get full text

Predicting executive functioning from walking features in Parkinson’s disease using machine learning by Artur Piet, Johanna Geritz, Pascal Garcia, Mona Irsfeld, Frédéric Li, Xinyu Huang, Muhammad Tausif Irshad, Julius Welzel, Clint Hansen, Walter Maetzler, Marcin Grzegorzek, Nico Bunzeck

Get full text