ML-Driven Transistor Self-Heating Analysis From TCAD to Large IP Circuits by Simon Thomann, Nico Mayr, Albi Mema, Hussam Amrouch

“…To this end, we have used TCAD to generate a distributed channel temperature map data set. We propose a technology-agnostic methodology for extracting localized temperature data on the circuit level using the trained machine learning model (with a mean error of 0.1 K). …”
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Universal strategy for rapid design and analysis of gas detection peptide chips with positional preference by Honghao Zhang, Xi Zhang, Yingjun Si, Hui Li, Jiyang Han, Chuan Yang, Hui Yang

“…Finally, we evaluated the analysis methods by generating simulated data based on a reference affinity matrix constructed from actual data. …”
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Traffic Multiresolution Modeling and Consistency Analysis of Urban Expressway Based on Asynchronous Integration Strategy by Liyan Zhang, Jian Ma, Bin Ran, Lixin Yan

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A combined RSM – FEM analysis of weld quality in laser transmission welding of plastics by Nitesh Kumar, Soumyabrata Chakravarty, Nikhil Kumar, Rajat Subhra Sen

“…The thermal modelling provided predictions for depth of penetration, with values spanning from 106.25 μm to 228.65 μm. validated against experimental data, demonstrating an average error of 8.09%. Qualitatively, the investigation indicatees that laser power and scanning speed substantially effect the weld quality, with higher power leading to broader weld widths and greater HAZ. …”
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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

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Experimental Analysis of Accuracy and Precision in Displacement Measurement Using Millimeter-Wave FMCW Radar by Hajime Takamatsu, Nariteru Hinohara, Ken Suzuki, Fuminori Sakai

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A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model by Marcin Salamaga

“…It was based on data for 2010–2021 from Eurostat, UNCTAD and the national statistical offices of individual V4 countries. …”
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Analysis of Land Surface Performance Differences and Uncertainty in Multiple Versions of MODIS LST Products by Ruoyi Zhao, Wenping Yu, Xiangyi Deng, Yajun Huang, Wen Yang, Wei Zhou

“…This study provides a comprehensive analysis of the errors arising from different generations of these products in various land surface process studies. …”
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Performance Analysis of Binary and Ternary Blends of Ammonia, Hydrogen, and Diesel in Compression Ignition Engine by Laveet Kumar, Ahmad K. Sleiti

“…Validation of the developed model is carried out against experimental data reported in the literature, and the absolute error was less than 5%, which validates the accuracy of the developed model. …”
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Specificity Analysis of Genome Based on Statistically Identical K-Words With Same Base Combination by Hyein Seo, Yong-Joon Song, Kiho Cho, Dong-Ho Cho

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RESULTS OF SNOW COVER FORECAST IN THE CAUCASUS REGION USING THE METHOD OF SINGULAR-SPECTRAL ANALYSIS by Boris Azretaliyevich Ashabokov, Alla Amarbiyevna Tashilova, Lara Asirovna Kesheva

“…In this work, based on the meteorological data provided by the North Caucasian UGMS, we obtained the averaged series of the average decade height of snow cover and the number of days with snow cover for the south of the European territory of Russia (ETR). …”
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Association between anthropometric factors and meningioma risk: A systematic review and meta-analysis. by Chao Xu, Chuan Shao, Jing Wang, Xinmin Ding, Nan Wu

“…Moreover, we employed a dose-response meta-analysis with a one-stage robust error meta-regression (REMR) model.…”
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Development and application of a robotic coal analysis system for process control in coal preparation by Qi LIU, Yu LIANG, Hong ZHANG, Mingxing WANG, Bao ZONG, Kun YANG, Jinxiang ZHAO, Junwei PEI, Feng ZHANG, Ying LIN

“…Coal preparation plants are a crucial component of intelligent coal mining operations, where the accuracy and speed of coal quality analysis directly influence the precision and timeliness of production control adjustments. …”
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Modeling and Analysis of Rice Root Water Uptake under the Dual Stresses of Drought and Waterlogging by Jie Huang, Wei Dong, Luguang Liu, Tiesong Hu, Shaobin Pan, Xiaowei Yang, Jianan Qin

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Transient thermal analysis of a kiln using different numerical approaches by means of CFD by S. Alonso-Romero, J. Arturo Alfaro-Ayala, José Eduardo Frias-Chimal, J.J. Ramírez-Minguela, Oscar A. López-Núñez

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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…This knowledge helps in identifying critical factors that significantly influence the model’s outcomes and can guide efforts to improve the accuracy and reliability of predictions. Sensitivity analysis (SA) is a method used efficiently to assess the sensitivity of the output results from large-scale mathematical models to uncertainties in their input data. …”
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Risk factors for fear of falling in stroke patients: a systematic review and meta-analysis by Li Ma, Qi Xie, Juhong Pei, Ling Gou, Yabin Zhang, Juanping Zhong, Yujie Su, Xinglei Wang, Xinman Dou

“…Measurement of heterogeneity between studies was high for all outcomes (I2=0%–93%), indicating that the substantial interstudy heterogeneity in estimated proportions was not attributed to the sampling error. Sensitivity analysis (leave-one-out method) showed that the pooled estimate was stable.Conclusion This meta-analysis indicated that female population, impaired balance ability, lower mobility, history of falls and walking aid in patients with stroke might be at greater risk for FoF. …”
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Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

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Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques by Ahmed A. Alawi Al-Naghi, Kinza Aamir, Muhammad Nasir Amin, Bawar Iftikhar, Kashif Mehmood, Muhammad Tahir Qadir

“…Among the two, the MEP model demonstrated stronger predictive capability, achieving a coefficient of determination of 0.90 and a mean absolute error of 3.83 MPa. Analysis using sensitivity techniques and Shapley Additive exPlanations values further identified superplasticizer, cement, and crumb rubber as the most critical variables influencing strength outcomes. …”
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Unsupervised feature correlation-based spatial stratification for local context-aware modelling by Jinyu Meng, Zengchuan Dong, Yongze Song

“…The developed approach provides an efficient and accurate solution for spatial inferences and data analysis.…”
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