Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…Experimental validation demonstrates superior classification accuracy compared to conventional decomposition–classification approaches in distinguishing complex mechanical anomalies, achieving a classification accuracy of 96.38%. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…By incorporating the linear relationship and regularization techniques of ridge regression with the flexibility and adaptability of the SKRidge algorithm, the L-SKRidge model is able to capture complex patterns in the data while also preventing overfitting. …”
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Control system architecture of an intelligent agent based on a semiotic network by M. A. Rovbo, P. S. Sorokoumov

“…The topic is relevant because group control is a complex and important task with considerable practical value. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…The results obtained are integrated into the software complex for innovative development of facilities and are tuned for transformation, effective use of the potential of partners, investors, performers and industry enterprises.…”
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Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation by Wenzhong Li, Chengshuai Liu, Caihong Hu, Chaojie Niu, Runxi Li, Ming Li, Yingying Xu, Lu Tian

“…Abstract Flood forecasting using traditional physical hydrology models requires consideration of multiple complex physical processes including the spatio-temporal distribution of rainfall, the spatial heterogeneity of watershed sub-surface characteristics, and runoff generation and routing behaviours. …”
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Helping tools for the regular expression author for test questions in LMS Moodle by O. A. Sychev, G. V. Terehov

“…The survey also shows that ability to select part of regular expression representation and see that part selected in other representations and regular expression text was very useful in linking representations together and understanding complex expressions. …”
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Estimation of compressive strength of ultra-high performance lightweight concrete (UHPLC) using neural network. by Yan Zhao, Ziyan Huang, Huilong Zhao, Zhen Xu, Wei Chang, Bai Liu

“…Achieving a balance between these properties to produce high structural efficiency (strength-to-weight ratio) concrete is challenging due to the complex relationship between compressive strength and material components. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…Optimal needle trajectory selection is critical in biopsy procedures to minimize tissue damage and ensure diagnostic accuracy. …”
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Photon-counting CT versus energy-integrating detectors for cardiac imaging: a systematic review of evidence from in vivo human studies on image quality and radiation dose by Magnar Rønning, Elias Johansen, Albertina Rusandu

“…Subjective image quality is particularly enhanced, while objective parameters remain influenced by technical factors and protocol selection. While findings are promising, especially for patients with complex coronary pathology, further large-scale, standardized studies are needed to confirm diagnostic and prognostic benefits in routine clinical practice.…”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Deep learning (DL) aids in accurately classifying complex malware features. The cross-domain research in data fusion strives to integrate information from multiple sources to augment reliability and minimize errors in detecting sophisticated cyber threats. …”
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Engaging health system, service and consumer representatives in the co-design of a multi-criteria decision-making framework for commissioning overweight and obesity programs and se... by Laura Thomas, Suzanne Robinson, Sharyn Burns, Helen Mitchell, Andrea Begley

“…Abstract Background Obesity is a multi-faceted problem that requires complex health system responses. While no single program or service is sufficient to meet every individual’s needs, some criteria that increase the likelihood of program/service quality delivery to produce effective outcomes exist. …”
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Machine Learning Modeling of Foam Concrete Performance: Predicting Mechanical Strength and Thermal Conductivity from Material Compositions by Leifa Li, Wangwen Sun, Askar Ayti, Wangping Chen, Zhuangzhuang Liu, Lauren Y. Gómez-Zamorano

“…To overcome the limitations of traditional empirical models in capturing complex nonlinear relationships, a predictive framework with eight machine learning algorithms was established. …”
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NMR Evaluation of Shale Oil Mobility: Combined Pyrolysis and CO₂ Huff-N-Puff by Jianmeng Sun, Yibo Yao, Fujing Sun, Junlei Su, Jing Lu, Kun Liu, Peng Chi

“…Shale reservoirs exhibit a complex fluid state, with oil and water present in various forms. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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Experimental and Numerical Study on Flow and Heat Transfer Characteristics of Additively Manufactured Triply Periodic Minimal Surface (TPMS) Heat Exchangers for Micro Gas Turbine by Xiyuan Su, Yueliang Zhang, Yu Rao, Kirttayoth Yeranee, Xintong Wang

“…This paper proposes two compact, efficient, and lightweight heat exchangers based on triply periodic minimal surfaces (TPMSs). …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) predictive accuracy, and (iv) sensitivity to input uncertainty. …”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…However, realizing highly selective and sensitive detection of dopamine in complex biological environments remains a challenge. …”
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Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles by Janjhyam Venkata Naga Ramesh, C. Dastagiraiah, Suraya Mubeen, W. Deva Priya, M. Kameswara Rao, B. H. K. Bhagat Kumar

“…It achieves superior obstacle avoidance, faster reaction times, and enhanced operational efficiency. Overall, the proposed NAS protocol enables AAVs to maintain optimal orientation during flight, adjust heading based on environmental inputs, coordinate swarm movements, and navigate complex three-dimensional spaces effectively.…”
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A combined strategy for screening a clustered mobile population returning from highly endemic areas for Plasmodium falciparum by Mei Li, Jun Li, Zhigui Xia, Ning Xiao, Weikang Jiang, Yongkang Wen

“…Conclusions: It was too complex and difficult to catch all parasite carriers in a short period of time among populations with such a complicated situation as that in Shanglin County. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…Disaster logistics presents a highly complex decision-making challenge under conditions of uncertainty, where the timely and efficient allocation of scarce resources is essential to minimize human suffering. …”
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