EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…To address these issues, it is necessary to establish a correlation between the leakage signal and the magnitude of the defect to make accurate predictions through regression analysis. This research introduces EffiTriDimNet (ETDN), a multi-task convolutional neural network that combines one-dimensional pipeline defect leakage detection data into a unified feature map while simultaneously measuring the three-dimensional characteristics of the defects. …”
Get full text

Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development by Conrad W. Safranek, Thomas Huang, Donald S. Wright, Catherine X. Wright, Vimig Socrates, Rohit B. Sangal, Mark Iscoe, David Chartash, R. Andrew Taylor

“…Although the results indicate potential for integrating LLMs in structured clinical note analysis, translation to real, large‐scale clinical data with appropriate data privacy safeguards is needed.…”
Get full text

Solid-state calculations for iterative refinement in quantum crystallography using the multipole model by Michael Patzer, Christian W. Lehmann

Get full text

Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks by Tran Vu-Hoang, Tan Nguyen, Jim Shiau, Hung-Thinh Pham-Tran, Trung Nguyen-Thoi

“…The optimized models exhibit high coefficient of determination (R²) values and low root mean square errors (RMSE) for training and testing datasets. Sensitivity analysis validates the robustness of the proposed models. …”
Get full text

Research and development of general technical specifications for video surveillance systems in the coal mining industry by CHANG Lin, LI Zongwei

“…To enhance the environmental adaptability and reliability of intelligent analysis of video surveillance systems in the coal mining industry under complex modern mine scenarios, in addition to image monitoring functions, the system should include: ① a video image quality self-diagnosis mechanism that automatically detects and diagnoses the quality of video images and the effectiveness of remote control of the PTZ lens. ② a multi-level Intelligent Video Analysis (IVA) system, including target detection, target recognition, behavior recognition, and event detection. ③ a configurable IVA framework that supports selecting and configuring IVA functions according to needs. ④ structured video description and indexing, supporting automatic description of IVA results and the establishment of indexes based on IVA results and related information. ⑤ cross-system alarm linkage, equipped with data interaction interfaces for alarm linkage, sending IVA results and other information to other devices or systems. …”
Get full text

Application of Real-Time Palm Imaging with Nelder–Mead Particle Swarm Optimization/Regression Algorithms for Non-Contact Blood Pressure Detection by Te-Jen Su, Ya-Chung Hung, Wei-Hong Lin, Wen-Rong Yang, Qian-Yi Zhuang, Yan-Xiang Fei, Shih-Ming Wang

“…This study compares two distinct non-contact BP measurement approaches: one combining the Nelder–Mead simplex method with particle swarm optimization (NM-PSO) and the other using machine learning regression analysis. In the NM-PSO method, a standard webcam captures continuous images of the palm, extracting physiological data through light wave reflection and employing independent component analysis (ICA) to remove noise artifacts. …”
Get full text

Evaluation of the efficiency of reference machine learning models for buffer memory prediction when transforming a self-similar input stream of packets into a stream having exponen... by G. I. Linets, R. Al. Voronkin, S. Vl. Govorova

“…A comparative analysis of the obtained models is carried out. Each model was examined using the following quality metrics: coefficient of determination, rms regression error, mean absolute error, penalty value, estimated loss. …”
Get full text

Comparison of macular retinal thickness measurements using spectral-domain and swept-source optical coherence tomography in healthy eyes by Huan Wan, Zhaode Wu, Ziling Liu, Bo Qin

“…Intraclass correlation coefficients (ICC) and Bland–Altman analysis were used to assess agreement, with a 7 μm error threshold.ResultsSignificant differences were found between the three devices (p < 0.001). …”
Get full text

Correction: Nally et al. The Effectiveness of School-Based Interventions on Obesity-Related Behaviours in Primary School Children: A Systematic Review and Meta-Analysis of Randomis... by Sarah Nally, Angela Carlin, Nicole E. Blackburn, Judith S. Baird, Jo Salmon, Marie H. Murphy, Alison M. Gallagher

Get full text

Research on the prediction of blasting fragmentation in open-pit coal mines based on KPCA-BAS-BP by Shuang Liu, Enxiang Qu, Chun LV, Xueyuan Zhang

“…The results show that the average relative error of the model is 1.77%, and the root mean square error is 1.52%. …”
Get full text

Fault tidentification method of outage transmission line based on convolutional neural network and wavelet packet decomposition by WANG Xinming, WANG Xiangyu, JIA Xiaobo, ZHANG Feifei, LI Shaobo, HU Yongqiang

Get full text

State of Health Estimation of Li-ion Batteries Based on GWO-LSSVM by Ju-chen LI, Yu-li HU, Jian GAO, Li-teng ZENG, Yi ZHENG, Wen-shuai DAI

“…The experimental results showed that the LSSVM algorithm model based on the GWO algorithm is suitable for small-sample data and is characterized by small estimation errors; therefore, it is more effective for battery SOH.…”
Get full text

A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models by Adel Alarbi, Wagdi Khalifa, Ahmad Alzubi

Get full text

Stochastic parameter-optimized car-following model considering heterogeneous traffic flow by PAN Yiyong, QUAN Yongjun, GUAN Xingyu

Get full text

Development of Advanced Positioning Techniques of UWB/Wi-Fi RTT Ranging for Personal Mobility Applications by Harris Perakis, Vassilis Gikas, Günther Retscher

“…An analysis of the performance of these techniques for ranging the positioning estimation using different fusion algorithms is assessed. …”
Get full text

The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

Get full text

Characterization and Prediction of the Ghana Stock Exchange Composite Index Utilizing Bayesian Stochastic Volatility Models by Osei K. Tweneboah, Kwesi A. Ohene-Obeng, Maria C. Mariani

Get full text

Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization by Fanjun Zeng, Fanjun Zeng, Yingying Zhou, Yingying Zhou, Bin Wei, Bin Wei

“…This paper utilizes panel data from 30 provincial-level administrative regions of mainland China (excluding Tibet) for the period 2011 to 2020 to explore how digital rural development (DRD) impacts agricultural green total factor productivity (AGTFP) and examines its underlying mechanisms.MethodsRegarding variable measurement, the study employs the entropy weighting method to quantify the DRD and uses an extended Data Envelopment Analysis-Malmquist model to assess AGTFP. …”
Get full text

An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…[Method] The principal component analysis (PCA) method was adopted to construct an anomaly detection model, where the squared prediction error (SPE) statistic of the model served as the initial threshold for the POT algorithm. …”
Get full text

Multi-Point Optical Flow Cable Force Measurement Method Based on Euler Motion Magnification by Jinzhi Wu, Bingyi Yan, Yu Xue, Jie Qin, Deqing You, Guojun Sun

Get full text