Predicting Sudden Stratospheric Warmings Using Video Prediction Methods by Yuhao Du, Jiankai Zhang, Xinyuan Cheng, Yixiong Lu, Douwang Li, Wenshou Tian

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Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

Subjects: “…Process reliability…”
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Mathematical modeling and numerical simulation of supercritical processing of drug nanoparticles optimization for green processing: AI analysis. by Khalid Aljohani

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Tribochemical synthesis of functionalized covalent organic frameworks for anti-wear and friction reduction by Xiaozhi Zhang, Qi Lu, Yaojie Yan, Tingting Zhang, Shujuan Liu, Meirong Cai, Qian Ye, Feng Zhou, Weimin Liu

“…Furthermore, the tribochemical-induced SO@COF-LZU1 exhibited remarkable tribological performance with a low friction coefficient of 0.1 and 95.5% reduction in wear volume when used as additives of 500SN base oil. …”
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Allergenicity Reduction of Antarctic Krill (Euphausia superba) Tropomyosin through Glycosylation Modification by Shuqi ZHANG, Shuya WANG, Shuqi JIA, Kexin LIU, Na SUN

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Selective Recovery and Enrichment of Cobalt from Cobalt-Containing Slag by Carbothermal Reduction by Jiachen Gong, Jian Pan, Jingfu Zhao, Qian Zhang, Guansheng Hao, Yan Liu, Helei Yu

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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. …”
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Advancements in noise reduction for wheel speed sensing using enhanced LSTM models by Shih-Lin Lin

“…Traditional filtering methods, including adaptive approaches and basic digital signal processing, frequently underperform under complex conditions. …”
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Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

“…Incremental attribute reduction is a commonly used method and strategy for efficient attribute reduction in dynamic dataset environments. …”
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The contribution of Slovenian biogas plants to the reduction of agricultural sector green house emissions by Romana MARINŠEK LOGAR, Neža NOVAK, Maša VODOVNIK

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Investigation and prediction of solid-state bonding quality of Al-0.5Mg-0.4Si alloy under different process parameters during hot compression bonding by Zheng Ma, Xuedao Shu, Haijie Xu, Guobiao Wang, Fei Tong, Zixuan Li, Kai Chen, Sheng Xu, Bo Li

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Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm by Mohsen Shanbeh, Hossein Hasani, Somayeh Akhavan Tabatabaei

“…The parameters of artificial neural network model, namely, learning, and momentum rate, number of hidden layers and number of hidden processing elements (neurons) were optimized to get the best predictive models. …”
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Machine Learning-Driven Prediction of CO₂ Solubility in Brine: A Hybrid Grey Wolf Optimizer (GWO)-Assisted Gaussian Process Regression (GPR) Approach by Seyed Hossein Hashemi, Farshid Torabi, Paitoon Tontiwachwuthikul

“…In this study, Gaussian Process Regression (GPR) with eight different kernels was optimized using the Grey Wolf Optimizer (GWO) algorithm to model this important phase behavior. …”
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Development of an algorithm to improve on the National Early Warning Score 2 (NEWS2) system's accuracy in predicting critical outcomes using additional patient data and amendments to the scoring process by Lynsey Threlfall, Chris Plummer, Edward Meinert, Cen Cong, Madison Milne-Ives

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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

“…Given the escalating concerns surrounding global warming, high-temperature predictions (HTPs) have emerged as a pressing issue. …”
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A novel wavelet thresholding rule for speckle reduction from ultrasound images by Leena Jain, Palwinder Singh

“…But reduction of speckle may cause blurring or loss of edges and important features. …”
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A hybrid phase-shifted PWM technique for a 13-level inverter with low switch count and suppressed charging spike by Hossein Mansourizadeh, Majid Hosseinpour, Ali Seifi, Mahdi Shahparasti

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Dimensionality Reduction and Clustering Strategies for Label Propagation in Partial Discharge Data Sets by Ronaldo F. Zampolo, Frederico H. R. Lopes, Rodrigo M. S. de Oliveira, Martim F. Fernandes, Victor Dmitriev

“…Our basic pipeline is composed of three phases: pre-processing, dimensionality reduction procedures, and clustering. …”
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Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria. by Luis A Álvarez-García, Wolfram Liebermeister, Ian Leifer, Hernán A Makse

“…Symmetry principles play an important role in geometry, and physics, allowing for the reduction of complicated systems to simpler, more comprehensible models that preserve the system's features of interest. …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…Subsequently, it systematically reviews current methods for reliability assessment and lifetime prediction in the thermal aging process of electrical machine insulation, with a focus on the application of different modeling approaches such as physics-of-failure (PoF) models, data-driven models, and stochastic process models in insulation lifetime modeling. …”
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