Trust Domain Extensions Guest Fuzzing Framework for Security Vulnerability Detection by Eran Dahan, Itzhak Aviv, Michael Kiperberg

“…Our method uses a customized coverage-guided fuzzer to target those pathways with random input mutations following integrating static analysis to identify possible attack surfaces, where the guest reads data from the host. …”
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Point Cloud Registration for Lava Tube Surface Reconstruction Using Curvature-Optimized Projection by Jiaqi Yao, Yanqiu Wang, Wen Li, Yuan Han, Hognxu Ai, Zhenchen Ji, Fu Zheng, Zhibin Sun

“…First, the normal vectors were estimated and normalized on an unstructured point cloud using Principal Component Analysis. Subsequently, the point cloud was projected using the Moving Least Squares method based on an anisotropic weighting function to obtain curvature-optimized point cloud data. …”
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Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions by Seong-Il Kang, Cheol Huh, Choong-Ki Kim, Meang-Ik Cho, Hyuek-Jin Choi

“…The effect of input imprecision was analyzed. A 10% of inherent error reduced the accuracy of the HGB model to 60%. …”
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Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

“…Methods Using weekly death data from the Short-term Mortality Database (STMF) for 23 countries, we propose empirical prediction intervals based on the distribution of past out-of-sample forecasting errors for the study of weekly expected and excess deaths. …”
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Land Surface Energy Partitioning Dominates Dry‐Season Water Availability Uncertainties in Earth System Models by Jianzhi Dong, Man Gao, Jianhong Zhou, Lingna Wei, Haoran Zhou, Yongqiang Zhang, Hongkai Gao, Zheng Duan, Wade T. Crow

“…Our analysis indicates that the ET resistance parameterization is the central error source in ESM‐based EF, which should be constrained to enhance the reliability of EF, and by extension, Wd projections.…”
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Characteristics of neutron fields at pool-type research nuclear reactors by M. D. Pyshkina, M. V. Zhukovsky, A. V. Vasilyev, A. A. Ekidin, E. I. Nazarov, M. A. Romanova, M. N. Anikin

“…The performed studies allow to improve the system of individual dosimetric control based on the cycle of improvements: new knowledge – experimental studies – implementation of research results – regulation of activities to reduce the exposure of workers – analysis of the data obtained – new knowledge. The radiation anisotropy was estimated from the results of measurements of the accumulated dose of neutron radiation by individual thermoluminescent dosimeters placed on four vertical planes of a human phantom. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…The network incorporates layer normalization and dropout regularization to ensure training stability, complemented by Gaussian error linear unit (GELU) activation functions for improved non-linear modeling. …”
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Towards monitoring biodiversity in Amazonian forests: how regular samples capture meso-scale altitudinal variation in 25 km2 plots. by Darren Norris, Marie-Josée Fortin, William E Magnusson

“…In contrast, accuracy was more strongly influenced by sample standard deviation. Additionally, analysis of spatially interpolated data showed that spatial patterns in altitude were also recovered within areas using a regular arrangement of 30 samples.…”
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The impact of tractor drawbar height on performance and optimization using response surface methodology by Ali Yavuz Şeflek, Nuri Orhan, Mete Özkan

“…The developed RSM models demonstrated high predictive accuracy, with an R² value of 0.98 for pulling force and error metrics such as RMSE of 0.42% for efficiency, highlighting the reliability of the approach. …”
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FlowMRI-Net: A generalizable self-supervised 4D flow MRI reconstruction network by Luuk Jacobs, Marco Piccirelli, Valery Vishnevskiy, Sebastian Kozerke

“…Evaluation includes an ablation study and a qualitative and quantitative analysis of image and velocity magnitudes. Results: FlowMRI-Net outperforms CS-LLR for aortic 4D flow MRI reconstruction, resulting in significantly lower vectorial normalized root mean square error and mean directional errors for velocities in the thoracic aorta. …”
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Bayesian predictive modelling to ascertain factors affecting cattle milk production in Tanzania: Evidence from the national panel surveys 2012 – 2021 by Zainabu Bonza, Rosalia Katapa, Amina Msengwa

“…The fitted models were evaluated by using Root Mean Squared Error (RMSE), Deviance Information Criteria (DIC), and Watanabe Information Criteria (WAIC). …”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…The model was validated against experimental data, showing good agreement in predicting phase fractions and microstructural features. …”
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Heat and moisture transfer dynamics in humidity-stratified paddy grain bulk under mechanical ventilation by Qiang Yin, Youjun He, Shuai Liu, Xiaopeng Liu, Yonglin Zhang, Shaoyun Song, Hui Li

“…Experimental validation is conducted using a custom-built grain silo test chamber, in which temperature and humidity data are collected during ventilation and compared with simulation results to assess model accuracy. …”
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An Electro-Magnetic Log (EML) Integrated Navigation Algorithm Based on Hidden Markov Model (HMM) and Cross-Noise Linear Kalman Filter by Haosu Zhang, Liang Yang, Lei Zhang, Yong Du, Chaoqi Chen, Wei Mu, Lingji Xu

“…The sea trial of a small-sized AUV shows that the endpoint positioning error of the proposed/traditional algorithm by this paper is 20.5 m/712.1 m. …”
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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

“…This shows a 10–15% increase in the mean-squared error, surpassing existing models. Feature analysis shows that fly ash percentage contributes around 25% to the predictions. …”
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Low-energy lenticular laser surgery for the correction of myopia by E.V. Boiko, D.R. Mirsaitova, A.V. Titov

“…This study includes a comparative analysis of data from 193 patients (288 eyes) operated for different degrees myopia including a number of cases with myopic astigmatism using SMILE technology with different FSL energy levels from 130 to 150 nJ. …”
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Making nutrition labels more evaluable: A qualitative research study exploring equivalence framing for energy density to support chronic disease prevention by Lauren Bayliss

“…Equivalence framing, the use of the same data in a different format, may make energy density information more intuitive.Aims This study explores perceptions and use of nutrition information by consumers. …”
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Impact of PM_2.5 Pollution on Solar Photovoltaic Power Generation in Hebei Province, China by Ankun Hu, Zexia Duan, Yichi Zhang, Zifan Huang, Tianbo Ji, Xuanhua Yin

“…This study quantifies the impact of PM_2.5 pollution on PV power output using observational data from 10 stations across Hebei Province, China (2018–2019). …”
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Dual-band reconfigurable circularly polarized antenna with novel phase shifter and beamforming network by Majid Allahverdizadeh, Reza Masoumi, Mohammad Bemani

“…A detailed mathematical model using dual-band transmission line theory and ABCD matrix analysis underpins the design. Integrating these components yields a reconfigurable dual-band circularly polarized antenna system. …”
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Enhancing Voice Spoofing Detection: A Hybrid Approach With VGGish-LSTM Model for Improved Security in Automatic Speaker Verification Systems by Komal Shahzad, Saima Farhan, Yasin-Ul-Haq, Rabia Sana, Salman Pathan

“…We achieved a remarkable accuracy of 99.11% with an equal error rate of 1.18% on ASV Spoof 2019 LA dataset. …”
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