Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…Our pipeline manages to find the start of an ICME with a mean absolute error (MAE) of around 2 hr and 56 min, and the end time with a MAE of 3 hr and 20 min. …”
Get full text

RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model by Jiangtao Huang, Ting Luo, Zhouyan He, Haiyong Xu, Leyuan Fang

Get full text

Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

“…First, construct a statistical model of the femur with generalization properties and perform Mask labeling. …”
Get full text

Optimising air quality prediction in smart cities with hybrid particle swarm optimization‐long‐short term memory‐recurrent neural network model by Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Samiya, Vivek Jaglan, Roobaea Alroobaea, Momina Shaheen, Faizan Ahmad

“…Experimental analysis shows that the proposed method has 0.0184 (Root Mean Square Error (RMSE)), 0.0082 (Mean Absolute Error), 2002*109 (Mean Absolute Percentage Error), and 0.122 (R2‐Score). …”
Get full text

Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation by Liang Liu, Xige Zhang, Jiahui Zhou, Kai Niu, Zixuan Guo, Yawen Zhao, Meng Zhang

“…To address these issues, we proposed a novel approach. Our approach uses error rate and performance as switching metrics and performs joint statistics to achieve efficient adaptive switching. …”
Get full text

ANALYSIS OF THE CAUSES OF LOW OIL RECOVERY by Nikolai Buktukov, Rustem Igizbaev, Gulnaz Moldabayeva, Evgenii Gumennikov, Elmira Yesbergenova

“…In addition, the problems related to the modelling and representation of the oil reservoir are considered, which can lead to errors in the assessment of oil reserves and, consequently, to an underestimated oil recovery factor. …”
Get full text

Soil Moisture Content Prediction Using Gradient Boosting Regressor (GBR) Model: Soil-Specific Modeling with Five Depths by Tarek Alahmad, Miklós Neményi, Anikó Nyéki

“…The GBR model demonstrated high performance in both soil textures, achieving R² values of 0.98 and 0.94 for silt loam and loam soils, respectively, with low prediction errors (RMSE 0.85 and 0.97, respectively). Feature importance analysis showed that precipitation and humidity were the most influential features in loam soil, while solar radiation had the highest impact on prediction in silt loam soil. …”
Get full text

Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

“…Interpretability driven by SHAP reinforces the significance of features, thereby rendering the model beneficial for the formulation of targeted emission control strategies. …”
Get full text

Formalized approaches to assessing the usability of the user interface of web applications by B.M M. Basok, S. L. Frenkel

“…The application of the approach described in the paper, along with traditional methods of testing the usability of UI, will increase the overall level of usability of applications, and thereby reduce the cost of identifying and correcting related errors.…”
Get full text

Age-stratified analysis of adverse event signals for clarithromycin: a disproportionality analysis using the FDA Adverse Event Reporting System by Haiyan Mai, Zhenpo Zhang, Yankun Liang, Jingping Zheng, Ling Su

“…Methods: Disproportionality analysis was conducted using reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multiple gamma Poisson shrinkers. Statistical analyses included descriptive statistics and Chi-square tests. …”
Get full text

Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution by Mood Mohan, Nikhitha Gugulothu, Sreelekha Guggilam, T. Rajitha Rajeshwar, Michelle K. Kidder, Jeremy C. Smith

Get full text

Cognitive functions and their relation to balance and agility in athletes from different sports branches by Dilara Özen Oruk, Kılıçhan Bayar, Özcan Saygın, Banu Bayar

“…Successful performance in each sport requires high ability in various features, including motor and perceptual-cognitive skills. …”
Get full text

Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting by Liran Wei, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, Haijun Hu

Get full text

Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset by Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai

“…This network employs an independent-weight learning strategy to separately capture and optimize large-scale and small-scale noise features, facilitating the precise extraction of multiscale noise features. …”
Get full text

A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) by M. Plante, J.-F. Lemieux, L. B. Tremblay, A. Bouchat, D. Ringeisen, D. Ringeisen, P. Blain, S. Howell, M. Brady, A. S. Komarov, B. Duval, L. Yakuden, F. Labelle

“…Uncertainties associated with the propagation of tracking errors on the deformation values are included. We show that rectangular patterns of deformation features are visible when the sampled deformation rates are lower than the propagation error. …”
Get full text

Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

“…The query included records containing data on the Rx and patient-specific features. Simulated anomalies were created to mimic potential errors and were used in the training and testing of the model. …”
Get full text

A Study of the Effect of Inflation and Exchange Rate on Stock Market Returns in Ghana by Charles Kwofie, Richard Kwame Ansah

Get full text

Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry by Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, Sandip Roy, Sonia Djebali, Debnath Bhattacharyya

“…Moreover, our solution employs Role-based access control based on the patient's role, ensuring privacy and confidentiality. Our statistical analysis demonstrates that the proposed approach can efficiently and securely manage patient identity and access, potentially transforming the healthcare industry by enhancing data interoperability, reducing fraud and errors, and improving patient privacy and security. …”
Get full text

Robust SAR Change Detection Using Hierarchical Clustering With Adaptive Parameter Tuning by Ahidjo Abdoulaye, Alejandro C. Frery, Mingyang Ma, Shaohui Mei

“…Change detection in synthetic aperture radar imagery is challenging due to noise, complex nonlinear features, and variations in underlying data distributions. …”
Get full text

Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

Get full text