Soil Moisture Retrieval in Winter Wheat Fields at Different Growth Stages: Integrating a Two-Component Polarimetric SAR Decomposition With CIEM by Wenxin Xue, Qinghua Xie, Xing Peng, J. David Ballester-Berman, Jinfei Wang, Jiali Shang, Haiqiang Fu, Jianjun Zhu

Get full text

Effectiveness of progesterone supplementation in women presenting low progesterone levels on the day of frozen embryo transfer: a randomised controlled trial by Quang Thanh Le, Thi Minh Chau Le, Khue Tu Duong, Quoc Anh Nguyen, Phuc Thinh Ong, Thi Hong Nhung Nguyen, Thi Cam Thu Thai, Matheus Roque, Carlo Alviggi

Get full text

Long-Term (2015–2024) Daily PM_2.5 Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition by Jiacheng Jiang, Jiaxin Dong, Yu Ding, Wenjia Ni, Jie Yang, Siwei Li

“…Leveraging the newly produced dataset, we analyze the spatio-temporal variations of PM_2.5 across China with EOF decomposition, particularly noting that PM_2.5 levels in the eastern anthropogenic intensive regions continuously declined from 2015 to 2020, and fluctuated steadily during 2020–2024. This research underscores the critical need for sustained and effective air quality management strategies in China.…”
Get full text

Internal Short Circuit Protection for Rotor Winding of Variable Speed Pumped-Storage Generator-Motor by Jun CHEN, Hong YE, Huazhong LI, Jianchun LI, Xiaogang CHEN, Kai WANG

Get full text

Assessment on Harmonic Emission Level of Residential Loads with Symmetry and Volatility Constraints by Huaying ZHANG, Mingxing ZHU, Hengtong SHI, Qing WANG, Hongxin LI, Min GAO

Get full text

Association among financial development, economic growth, ecological footprint, and carbon emissions in India: a VECM analysis by Sarika Keswani, Narmada Mariayala, Mohit Kumar, Vippa Dhingra

“…As the third-largest carbon emitter globally, India’s sustainable development challenges make this research crucial for policymakers. Covering the period from 1990 to 2022, the study employs a Vector Error Correction Model (VECM) to identify both short- and long-term cointegration relationships among these variables. …”
Get full text

Observer Design for Fractional-Order Polynomial Fuzzy Systems Depending on a Parameter by Hamdi Gassara, Mohamed Rhaima, Lassaad Mchiri, Abdellatif Ben Makhlouf

Get full text

A Novel Framework for Solar Irradiance Prediction Integrating Signal Decomposition With Hybrid Time-Series Models by Keng-Hsi Lin, Po-Yen Hsu, Po-Han Chen, Mu-Yen Chen

“…Hybrid model architecture was developed to process high and low frequency signals separately in this research, respectively. Among all configurations, the EEMD–Transformer–GRU model achieved the best performance, with a MAPE of 7.87%, reducing prediction error by approximately 57% compared to non-decomposed models. …”
Get full text

An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

“…The intelligent prediction method of the KCGV based on SVM is applied to a typical karst curtain grouting project. The mean absolute error of the prediction results is 3.47 L/m, and the mean absolute percentage error of the prediction results is 5.97%. …”
Get full text

PCA-GWO-KELM Optimization Gait Recognition Indoor Fusion Localization Method by Xiaoyu Ji, Xiaoyue Xu, Suqing Yan, Jianming Xiao, Qiang Fu, Kamarul Hawari Bin Ghazali

Get full text

Statistical-Experimental Investigation of the Effect of Focal Length and Displacement on Laser Drilling of Hastelloy-X Superalloy Sheet using Single Pulse Fiber Laser by Mostafa Ghadimi Dafrazi, Reza Shoja Razavi, Masood Barkat, Ali Khoram, Mohammad Erfanmanesh

“…Introduction and Objectives: In this research, the laser drilling process was carried out by a single pulse method and the effect of displacement and focal length parameters on the geometry of the hole (Inlet diameter, Outlet diameter, Taper, and Entrance circularity error) was studied.Materials and Methods: In this study, statistical-experimental modeling was done using a full factorial experiment design with two factors of displacement and focal length in ten and seven levels on Hastelloy-X superalloy, respectively. …”
Get full text

Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm by Mehdi Yousefi, Mohammad Golmohammadi, Seyed Hashem Khatibi, Majid Yaghoobi

“…The maximum strength resulting from the proposed relation and numerical models had an acceptable agreement with an error of 11% based on mean absolute percentage error (MAPE).…”
Get full text

Time-Variation Damping Dynamic Modeling and Updating for Cantilever Beams with Double Clearance Based on Experimental Identification by Yunhe Zhang, Fanjun Meng, Xueguang Li, Wei Song, Dashun Zhang, Faping Zhang

Get full text

The use of an inexpensive processing aid device (the Mouse PAD) to facilitate rodent tissue banking by Zachary D Brown, Muath Bishawi, Jun-Neng Roan, Franklin Lee, Adam Nevo, Michael Watson, Dawn E Bowles

“…Typically, investigators are interested in specific organs and when experimental animals are euthanized, tissues that are not the focus of the research project are discarded. However, the remaining tissues from these animals could provide valuable scientific information if efficient, error-proof and economical approaches to collect and biobank them were available. …”
Get full text

Demonstration of 108 Gb/s Duo-Binary PAM-8 Transmission and the Probabilistic Modeling of DB-PAM-M BER by Md Ghulam Saber, Ramon Gutierrez-Castrejon, Zhenping Xing, Md Samiul Alam, Eslam El-Fiky, Daniel E. Ceballos-Herrera, Fabio Cavaliere, Gemma Vall-Llosera, Stephane Lessard, David V. Plant

Get full text

Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

Get full text

Use of Machine-Learning Techniques to Estimate Long-Term Wave Power at a Target Site Where Short-Term Data Are Available by María José Pérez-Molina, José A. Carta

Get full text

Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis by Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real

“…This model achieved a Mean Squared Error of approximately 0.002-0.003, Mean Absolute Error of around 0.031-0.034, and Root Mean Squared Error of about 0.052-0.069. …”
Get full text

Comparative Assessment of the Effect of Positioning Techniques and Ground Control Point Distribution Models on the Accuracy of UAV-Based Photogrammetric Production by Muhammed Enes Atik, Mehmet Arkali

“…For all six models, all techniques have an error value of sub-decimeter. The PPP-AR technique yields error values that are comparable to those of the other techniques. …”
Get full text

Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…However, most of the existing research studies related to fault detection methods have suffered from low accuracy, higher error rates, and time‐consuming processes when dealing with complex fault types in real‐time. …”
Get full text