NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

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Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

“…This paper utilizes flow field data from computational fluid dynamics (CFD) to develop a data-driven approach for analyzing the influence of geometric parameterized variables on the objective function and flow field across various design spaces. A data-driven method, namely a sensitivity analysis based on the Kriging model, is proposed along with three design space variation schemes (scaling, translation, and their combination) to evaluate the influence of geometric parameters on the objective function under varying design spaces. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Gas emission in the working face is influenced by a variety of factors. Dimensionality reduction methods, such as Principal Component Analysis, can reduce computational resources but may alter the original feature structure, leading to a loss of some detailed information in the dataset. …”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…Therefore, under the premise of meeting performance requirements, the Kriging optimization method can significantly reduce the vibration displacement of the iron-core reactor, providing valuable guidance for its vibration reduction and optimization.…”
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mNSF: multi-sample non-negative spatial factorization by Yi Wang, Kyla Woyshner, Chaichontat Sriworarat, Genevieve Stein-O’Brien, Loyal A. Goff, Kasper D. Hansen

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Comparison of ADMIRE, SAFIRE, and Filtered Back Projection in Standard and Low-Dose Non-Enhanced Head CT by Georg Gohla, Anja Örgel, Uwe Klose, Andreas Brendlin, Malte Niklas Bongers, Benjamin Bender, Deborah Staber, Ulrike Ernemann, Till-Karsten Hauser, Christer Ruff

“…Raw data simulated dose reductions to 90% and 70% of the original dose via ReconCT software. …”
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A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm by Ke Huang, Jianjun Zhu

“…A novel multi-objective method based on IoT proposed in this paper helps to alleviate “urban diseases,” such as traffic congestion, vehicle emissions, and energy waste, and to emphasize the overall benefits of energy-saving and emission reduction in urban road networks. …”
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VIOLET: Vectorized Invariance Optimization for Language Embeddings Using Twins by Mikhail E. Ram, G. Manju

“…Empirical results on the Semantic Textual Similarity Benchmark (STS-B) demonstrate that VIOLET achieves correlation scores on par with or exceeding several state-of-the-art sentence embedding models. These findings underscore the method’s effectiveness, scalability, and practical utility in a wide range of downstream natural language understanding tasks, particularly in settings where efficiency and stability are critical. …”
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Internal waste dump stability analysis: insights from numerical simulations by Bilguun Enkhbold, Hajime Ikeda, Hisatoshi Toriya, Tsuyoshi Adachi

“…The internal dump capacity can be increased by around 1.9 times at a 50 m height and a 28° dip angle, according to the results of the numerical simulation models. This research offers an optimal strength reduction factor (SRF) at a height of 45 m and a dip angle of 28° in comparable situations. …”
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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

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Adaptive data driven multi period power supply recovery method for distribution networks by Xi Ye, Meng Yang, Zhihong Yang, Qing Xiang, Yazhuo Li

“…Then, aiming at the problem of large conservatism during the reduction process of the convex hull polyhedral set, based on the range of the box set, cutting planes are made starting from the vertices, and a data driven hyperplane polyhedral set model is constructed. …”
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Inversion Method of Formation Water Salinity in Hydrocarbon-Bearing Sandstone Based on Spontaneous Potential by ZHANG Jiansheng, LU Yunlong, QI Yi, KANG Nan

“…The inversion model is applied in the target well and an experiment of measuring bound water salinity is carried out to verify the inverse method. …”
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An Improved Spatio-Temporal Network Traffic Flow Prediction Method Based on Impedance Matrix by Wenhao Li, Yanyan Chen, Yuyan Pan, Yunchao Zhang

“…Existing prediction methods, such as Markov, ARIMA, STANN, GLSTM, and DCRNN models, often face challenges because they rely on fixed spatial relationships, leading to limited long-term prediction accuracy. …”
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Text Classification: How Machine Learning Is Revolutionizing Text Categorization by Hesham Allam, Lisa Makubvure, Benjamin Gyamfi, Kwadwo Nyarko Graham, Kehinde Akinwolere

“…Key applications of TC are explored, alongside an analysis of critical machine learning methods, including document representation techniques and dimensionality reduction strategies. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…The comparative results demonstrate that, while satisfying the positioning error requirements, our proposed method achieves a reduction of over 1.5% in total flight distance for maritime UAVs compared to the NSGA-II algorithm.…”
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Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand by Wei Huang, Xuanyu Zhang, Haofan Cheng, Jiemin Xie

“…Although there is a reduction in solution optimality since the metamodel is an approximation of the original model, the metamodel methods greatly improve the computational efficiency (the computational time is reduced by 4.84 to 13.47 times in the cases of different initial points). …”
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Factors Affecting on Environmental Strategy in SMEs manufacturing Firms of a developing country: Mediating role of Green Employee Behavior [version 2; peer review: 2 approved, 1 ap... by Md Billal Hossain, Sarmad Ejaz, Faisal Ejaz, Jorge Alberto Esponda Perez, Ummi Naiemah Saraih, Ikramuddin Junejo

“…Methods Primary data gathered with the help of questionnaires from employees of SMEs manufacturing in developing countries, Pakistan. …”
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Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning by Liu Tao, Zhao Xiyang

“…Experimental results on the Car-Hacking dataset demonstrate that FL-TET achieves 100% accuracy, precision, recall, and F1 score, outperforming existing centralized and FL methods. Notably, the model parameters are reduced to just 0.306M, representing an 86.3% reduction compared to current FL methods. …”
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Sterile syringe availability in Georgia pharmacies remained rare, despite policy change permitting sales by Courtney R. Yarbrough, Nora Jaquemet, Siara I. Sitar, Maggie J. Mataczynski, Vega Walke, Natalie D. Crawford, Henry N. Young, Justine W. Welsh

“…Pharmacy and pharmacist demographics were collected and correlations between these characteristics were estimated using unadjusted logistic regression models. Results We obtained responses from 119 pharmacies (response rate = 34%). …”
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Acoustic Identification Method of Partial Discharge in GIS Based on Improved MFCC and DBO-RF by Xueqiong Zhu, Chengbo Hu, Jinggang Yang, Ziquan Liu, Zhen Wang, Zheng Liu, Yiming Zang

“…Secondly, wavelet denoising was used to weaken the influence of noise on ultrasonic signals, and conventional, first-order, and second-order differential MFCC feature parameters were extracted, followed by principal component analysis for dimensionality reduction optimization. Finally, the feature parameters after dimensionality reduction optimization were input into the DBO-RF model for fault identification. …”
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