Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms by Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu

“…Validation on 40 product types confirms strong cross-category generalization with a root mean square error (RMSE) of 0.26. Visualization through feature maps and Gradient-weighted Class Activation Mapping (Grad-CAM) further verifies the accuracy and interpretability of the ISE model. …”
Get full text

Applying machine learning to gauge the number of women in science, technology, and innovation policy (STIP): a model to accommodate missing data by Caitlin Meyer, Du Baogui, Mohamed Amin Gouda

“…The SVR model achieved the highest predictive accuracy with an R2 score of 0.835, and mean cross validation score with standard deviation of 0.196 and the low error metrics (MAE: 0.2677; RMSE: 0.406), establishing the first reliable method for quantifying women’s representation in STIP as its own sector. …”
Get full text

A Novel Dynamical Framework for Crop Phenology Estimation With Remote Sensing by Lucio Mascolo, Tomas Martinez-Marin, Juan M. Lopez-Sanchez

Get full text

Long-term continuous observations of the horizontal inhomogeneity in lower-atmospheric water vapor concentration using A-SKY/MAX-DOAS by Shunya Mizobuchi, Hitoshi Irie, Shingo Shimizu

“…Additionally, while these inhomogeneities were captured by A-SKY/MAX-DOAS, they were not adequately detected in the lower-atmospheric LA, despite being within the error range of A-SKY/MAX-DOAS. This highlights the critical role of A-SKY/MAX-DOAS in monitoring lower-atmospheric inhomogeneities that conventional LA has underestimated.…”
Get full text

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

Get full text

Determination of cardinal temperature of Euphorbia maculata and its hydrothermal model of germination by Shayesteh Salehi, مرجان دیانت, Ghorban Noormohammadi

Get full text

Longitudinal Invariance Testing Of The Knee Injury Osteoarthritis Outcome Score For Joint Replacement Scale (KOOS-JR) by Alexandra Dluzniewski, Caleb Allred, Madeline P Casanova, Jonathan D Moore, Adam C Cady, Russell T Baker

“…Caution is warranted if the KOOS-JR is used longitudinally due to potential measurement error associated with item #1. The KOOS-JR-6 may be a more viable option to assess change over time; however, more research is warranted…”
Get full text

Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…In order to efficiently evaluate the quality of rock blasting in mines, this paper developed a blasting effect image analysis and calculation model and recognition algorithm based on the established machine learning database, and carried out recognition and analysis work on the half-hole rate and rock blasting fragmentation of pre-splitting blasting. Research has shown that the half-hole rate derived from manual statistics and image recognition is 68.16% and 67.15%, respectively, with an average error of 1.49%. …”
Get full text

Evaluation of oil saturation in shale from an NMR T1–T2 map based on density peak clustering and Gaussian mixture model by Min Tian, Maojin Tan, Min Wang, Chenglin Li, Lingtan Zhang

Get full text

Features of Measuring the Hardness of a Metal Surface Modified with Ultrafine Particles of Minerals by A. V. Skazochkin, G. G. Bondarenko, P. Żukowski

“…By the method of instrumental hardness, standard measurements were performed without preliminary selection of the indentation site (at a load of 1.05 N) and measurements during indentation into even sections (at low loads of 10 mN).It is noted that the high precision of measurements implemented by instrumental indentation, due to the large roughness of the samples, leads to large values of the error in calculating the measurement results. An additional difference in the results of measurements performed by two methods at shallow indentation depths may be due to the fact that the object under study has a complex structure consisting of a metal matrix and particles distributed over the depth of the sample. …”
Get full text

Theoretical analysis of the forming process of closed die forging with flash and optimization design method of flash gutter by Xiang Zhang, Volodymyr Borysevych

“…After verification and correction, the error in the optimized mathematical model did not exceed 10 %, and the flash amount was significantly reduced. …”
Get full text

Effects of Climatic Fluctuations on the First Flowering Date and Its Thermal Requirements for 28 Ornamental Plants in Xi’an, China by Wenjie Huang, Junhu Dai, Xinyue Gao, Zexing Tao

Get full text

Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…Compared with the YOLOv8 model, the accuracy is improved by 2.8%, and the error of the depth value of the picking points is only ±2.5 mm. …”
Get full text

Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN by Fangzhou Chu, Jiakuan Ma, Yang Luan, Shilin Chen

Get full text

The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…The methodological tools of the research include the analytical method, methods of analysis and synthesis, econometric analysis methods (Panel unit root test, Pedroni panel cointegration tests, Pearson’s correlation test, Greanger test, Panel Vector Error Correction Estimate model). …”
Get full text

Developing Experimental Competency in Pre-Service Physics Teachers with An Inquiry-Based Approach by Thanh Loan Nguyen, Van Bien Nguyen, Ngoc Chat Tran

“…Parametric and nonparametric tests were chosen for evaluating the research data after confirming normal distribution using the Kolmogorov-Smirnov and Shapiro-Wilk tests (in the case of SPSS 20.0). …”
Get full text

Development of dynamic gas generation system for ultratrace amounts of acetone at parts-per-trillion levels with low temperature permeation method by Reiji Aoyagi, Takahiro Arakawa, Kenta Iitani, Kohji Mitsubayashi, Yoshika Sekine, Yuichiro Kaifuku

Get full text

Flexible Configurable Modular Neural Network-Based OFDM Receiver by A. B. Sergienko, P. V. Apalina, A. D. Lebedinskaya

“…OFDM systems should be capable of operating across a wide range of multipath fading channel conditions. The recent research focus in this field has been on the design of OFDM receivers based on machine learning, including artificial neural networks. …”
Get full text

Moving toward the digitalization of neuropsychological tests: An exploratory study on usability and operator perception by Maria Grazia Maggio, Fabio Mauro Giambò, Martina Barbera, Paolo De Pasquale, Francesca Bruno, Andrea Calderone, Angelo Quartarone, Amelia Rizzo, Rocco Salvatore Calabrò

“…Key qualitative feedback indicated that participants appreciated the speed, efficiency, and reduced error rates of digital tools, with many noting improvements in data organization and reporting. …”
Get full text

Nanosecond Laser Etching of Surface Drag-Reducing Microgrooves: Advances, Challenges, and Future Directions by Xulin Wang, Zhenyuan Jia, Jianwei Ma, Wei Liu

“…This paper focuses on the current research status of nanosecond laser processing quality control for microgrooves and the research status of laser effects on enhancing the fatigue performance of substrate materials. …”
Get full text