Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

“…Efficient management of traffic incidents is a focal point in traffic management, with direct implications for road safety, congestion, and the environment. …”
Get full text

Abortion after diagnosis of fetal anomaly: Psychometric properties of a German version of the individual level abortion stigma scale. by Franz Hanschmidt, Michaela Nagl, Johanna Klingner, Holger Stepan, Anette Kersting

Get full text

Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study by Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

“…When domain judgments were derived from LLM-generated signaling questions using the RoB2 algorithm rather than direct LLM domain judgments, accuracy improved substantially for Domain 2 (adhering; 55-95) and overall (adhering; 70-90). …”
Get full text

Global high-resolution fire-sourced PM_2.5 concentrations for 2000–2023 by Y. Hu, C. Tian, X. Yue, Y. Lei, Y. Cao, R. Xu, Y. Guo

“…Simulated all-source [PM<span class="inline-formula">_2.5</span>] is bias-corrected using a machine learning algorithm, which incorporates ground observations from over 9000 monitoring sites worldwide. …”
Get full text

Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

“…The optimization relies on algorithms like local search in general. But the efficiency of local search methods is limited in low latency and limited computing power scenarios due to their high computational consumption. …”
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

“…Experimental results show that Solar FaultNet outperforms the existing state‐of‐the‐art machine‐learning algorithms and deep‐learning architectures, achieving a precision of 99.1%, recall of 99%, F1‐score of 98.9%, and an error rate as low as 0.018%. …”
Get full text

Physical activity moderates the deleterious relationship between cardiovascular disease, or its risk factors, and quality of life: Findings from two population-based cohort studies... by Viviane de Menezes Caceres, Nigel Stocks, Robert Adams, Dandara Gabriela Haag, Karen Glazer Peres, Marco Aurélio Peres, David Alejandro González-Chica

Get full text

Preset Conditional Generative Adversarial Network for Massive MIMO Detection by Yongzhi Yu, Shiqi Zhang, Jiadong Shang, Ping Wang

“…The detection performance of NR-PC-GAN is far superior to the other algorithms in low-SNR scenarios.…”
Get full text

Transformer-Based Fast Mole Fraction of CO2 Retrievals from Satellite-Measured Spectra by Wei Chen, Tao Ren, Changying Zhao, Yuan Wen, Yilei Gu, Minqiang Zhou, Pucai Wang

Get full text

Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…Meanwhile, the general spatial interpolation algorithms based on deep learning usually have low model complexity and lack the specific designed loss function, which usually leads to significant interpolation errors. …”
Get full text

Multi-Fidelity Machine Learning for Identifying Thermal Insulation Integrity of Liquefied Natural Gas Storage Tanks by Wei Lin, Meitao Zou, Mingrui Zhao, Jiaqi Chang, Xiongyao Xie

“…Three machine learning algorithms—Multilayer Perceptron, Random Forest, and Extreme Gradient Boosting—were evaluated to determine the optimal implementation. …”
Get full text

Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…This study employs data mining techniques to address the issues of low adaptability and low recognition rate in the intelligent gear decision of vehicle automatic transmission systems. …”
Get full text

Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing by Boyan Jin, Zhenlong Wang, Tianyu Wang, Jialin Meng

“…Our review further examines key mechanisms such as synaptic plasticity, encompassing both long-term potentiation and depression, as well as emerging learning algorithms that leverage memristive behavior. Finally, we identify current challenges, such as achieving ultra-low power consumption, high device uniformity, and seamless system integration, and propose future directions in materials science, device engineering, system integration, and industrialization. …”
Get full text

Review of Virtual Power Plant Response Capability Assessment and Optimization Dispatch by Junhui Huang, Hui Li, Zhaoyun Zhang

“…The dispatch optimization layer of VPPs serves as the “intelligent brain” connecting physical resources with electricity markets, whose core lies in achieving “controllable, adjustable, and optimizable” distributed resources through algorithmic and data-driven approaches, driving the energy system transition towards low-carbon, flexible, and efficient directions. …”
Get full text

A Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction by Jiaxin Huang, Huicong Wang, Yuhan Li, Shijian Liu

“…Due to the blurred edges and low contrast of infrared (IR) images, methods transferred directly from visible images to IR images have a poor performance and ignore the demands of downstream detection tasks. …”
Get full text

Fault Diagnosis of Planetary Gearbox based on 1-DCNN by Xuanyi Xue, Xinyu Pang

“…In order to improve the diagnosis efficiency of planetary gearboxes， a fault diagnosis method based on one-dimensional deep convolutional neural network （1-DCNN） is proposed， and the original signals are directly input to the network for diagnosis. The accuracy of diagnosing five kinds of fault signals of planetary gear of planetary gear box can reach 100%， and the diagnostic accuracy and efficiency are better than other commonly used algorithms.…”
Get full text

Numerical Investigation of Large Wood Evolution Characteristics Transported by Flash Floods by SONG Siyuan, FEI Gaogao, WANG Xiekang

“…The two-way coupling algorithm can reflect the influence of large wood on water flow, thereby allowing the analysis of backwater rise problems caused by logjams. …”
Get full text

A Dynamic Spike Sorter for Multiscale Nanoelectrode Array Recordings by Shivani Shukla, Callum Walsh, Shashank Bansal, Johannes Leugering, Abhinav Uppal, Vikrant Jaltare, Gert Cauwenberghs, Sreekanth H. Chalasani, Zeinab Jahed

“…Nanoelectrode arrays (NEA) offer a promising approach by directly capturing intracellular signals across sub‐neuronal compartments, including action potentials, postsynaptic potentials, and low‐frequency membrane fluctuations. …”
Get full text

Score-Predictive Scale for Assessing the Risk of Inguinal and Femoral Hernias Incarceration by B. V. Sigua, V. P. Zemlyanoy, A. A. Kozobin, D. S. Semin

“…Today, algorithms have been developed for actions after excluding hernia incarceration directly during the patient’s hospitalization, but there are no clear recommendations for how to proceed: to offer surgery in this hospitalization or  to recommend planned surgical treatment. …”
Get full text

Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…Resistive gas sensors have attracted significant attention due to their simple architecture, low cost, and ease of integration, with widespread applications in environmental monitoring, industrial safety, and healthcare diagnostics. …”
Get full text