Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure by Jingyao Wang, Zhen Zeng, Weihao Lei, Haoxu Ye, Weiheng Su, Xunrui Li, Jinghua Guo, Jin Jiang, Keqiang Li

“…To enhance energy planning efficiency, a PER-D2PG intelligent algorithm is introduced, integrating priority experience replay and dueling networks into DDPG. …”
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Continuous Assessment of Mental Workload During Complex Human–Machine Interaction: Inferring Cognitive State from Signals External to the Operator by Axel Roques, Dimitri Keriven Serpollet, Alice Nicolaï, Stéphane Buffat, Yannick James, Nicolas Vayatis, Ioannis Bargiotas, Pierre-Paul Vidal

“…Physiological and operational parameters were used to train a novel machine-learning model of MWL. Our algorithm achieves good performance (ROC AUC score 0.836 ± 0.081, the maximum F1 score 0.842 ± 0.078 and PR AUC score 0.820 ± 0.097) and shows that the operational information outperforms the physiological signals in terms of predictive power for MWL. …”
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Rules-Based Energy Management System for an EV Charging Station Nanogrid: A Stochastic Analysis by Gabriel Henrique Danielsson, Leonardo Nogueira Fontoura da Silva, Joelson Lopes da Paixão, Alzenira da Rosa Abaide, Nelson Knak Neto

“…The developed algorithm makes decisions every 15 min, considering variables such as energy tariff, battery state of charge, renewable generation forecast, and energy consumption forecast. …”
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Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques by C.E. Akumu, J. Henry, T. Gala, S. Dennis, C. Reddy, F. Tegegne, S. Haile, R.S. Archer

“…Inland wetland types i.e. forested/shrub, emergent and open water bodies were classified and mapped using maximum likelihood standard algorithm. The spatial distribution pattern of inland wetlands was examined using average nearest neighbor analysis. …”
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Numerical Study of Entropy Generation due to Coupled Laminar and Turbulent Mixed Convection and Thermal Radiation in an Enclosure Filled with a Semitransparent Medium by M. Goodarzi, M. R. Safaei, Hakan F. Oztop, A. Karimipour, E. Sadeghinezhad, M. Dahari, S. N. Kazi, N. Jomhari

“…A structured mesh and the SIMPLE algorithm were utilized to model the governing equations. …”
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Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles by Xiao Yang, Qimeng Liao, Min Wang, Yushun Yan, Huanhuan Fan, Jinxue Wei, Xiaohong Ma, Xiao-hong Ma

“…Premorbid IQ was estimated using a validated Wechsler Adult Intelligence Scale-based algorithm and compared to current IQ to classify patients. …”
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A smart energy management system for surface unmanned vehicles for border surveillance missions by João F. P. Fernandes, Mário Assunção, Daniel Serrano, Pedro Afonso, Pedro Pinheiro, Hugo Marques, José Neves, Pedro Teodoro, Ricardo Póvoa, Rosa Marat-Mendes, P. J. Costa Branco

“…The developed SEMS is capable of planning a mission profile based on the predicted environmental conditions. To achieve this, one presents a new A-star algorithm with probabilistic behaviour to avoid local minimums and find alternative paths that would reduce the energy consumption in later hours of the mission. …”
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Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector by Germán Rodríguez-Galán, Eduardo Benavides-Astudillo, Daniel Nuñez-Agurto, Pablo Puente-Ponce, Sonia Cárdenas-Delgado, Mauricio Loachamín-Valencia

“…Machine learning models were developed to classify suspicious web domains and predict their vulnerability to XSS attacks. Additionally, clustering algorithms enabled user segmentation based on cookie data, identification of behavioral patterns, enhanced personalized web recommendations, and browsing experience optimization. …”
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A zenith wet delay improved model in China based on GPT3 and random forest by Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu

“…To more accurately capture and predict complicated variations in ZWD, this paper developed the CRZWD model by a combination of the GPT3 model and random forests (RF) algorithm using 5-year atmospheric profiles from 70 radiosonde (RS) stations across China. …”
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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…Lastly, the PSO algorithm is employed to search the latent space for optimal IL structures with the highest predicted solubility. …”
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Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis by Lengyun Wei, Dashuai Li, Hongjin Chen, Yajing Pu, Qun Wang, Jintao Li, Meng Zhou, Chenfeng Liu, Pengpeng Long

“…Furthermore, we used machine learning methods to perform feature selection and reduction, which generated a clinically applicable scoring system consisting of the seven hub genes for predicting clinical outcomes in BC patients. …”
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Clinical experience of myasthenic crisis management in Amur region by D. Yu. Kon’kova, V. N. Karnaukh, A. P. Duleba

“…Analysis of the timeframes of the myasthenic exacerbation since the disease onset, sex distribution, age predominance, specific clinical features, precipitating factors in order to investigate the efficacy of the management algorithm of the myasthenic crisis.Materials and methods. …”
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CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

“…The work provides foundational insights for scaling sustainable co-processing systems that address sludge disposal challenges and biomass utilization.MethodsNumerical simulations employed Barracuda™ VR 17.3.0's Multi-Phase Particle-in-Cell (MP-PIC) algorithm, resolving gas-solid reactive flows in a 3D reactor comprising a lower cylindrical section (Ø0.7 m×H1.7 m), upper expansion zone (Ø1.3 m× H3.8 m), and conical transition (H0.5m). …”
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Optimization of grading rings for 1000 kV dry-type air-core shunt reactor based on hybrid RBFNN–Kriging surrogate model by Yiqin Liu, Liang Xie, Dongyang Li, Yunpeng Liu, Kexin Liu, Gang Liu

“…First, the sparrow search algorithm is used to optimize the hyperparameters of the RBFNN. …”
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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders by Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury

“…This automatic damage identification algorithm is based on the vertical acceleration evaluated on the rails using a virtual wayside monitoring system and involves the application of a two-step procedure. …”
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A damage model that can be coupled with constitutive behavior prior to necking for SGAFC 780 steel by Seong Jin Lee, Taek Jin Jang, Hyunho Shin, Yongwon Ju, Sangho Bae, Jong-Bong Kim

“…They also predicted damage contours that reasonably correspond to the moments and locations of cracks observed during the tensile fracture tests. …”
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Investigating the Short-Circuit Problem Using the Planarity Index of Complex q-Rung Orthopair Fuzzy Planar Graphs by Abrar Hussain, Ahmed Alsanad, Kifayat Ullah, Zeeshan Ali, Muhammad Kamran Jamil, Mogeeb A. A. Mosleh

“…Some advantages of the projected study over the previous study are observed, and some future study is predicted.…”
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A convolutional neural network driven suspension control strategy to enhance sustainability of high-speed trains by Duo Zhang, Hong-Wei Li, Fang-Ru Zhou, Yin-Ying Tang, Qi-Yuan Peng

“…In conjunction with the neural network algorithm, a bi-objective optimization model is further developed and solved to adjust scale factor of the Skyhook controller according to different running conditions. …”
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Modelling current and future forest fire susceptibility in north-eastern Germany by K. H. Horn, K. H. Horn, S. Vulova, S. Vulova, H. Li, B. Kleinschmit

“…We applied a random forest (RF) machine learning (ML) algorithm to model current and future FFS in the federal state of Brandenburg (Germany) using topographic, climatic, anthropogenic, soil, and vegetation predictors. …”
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Preoperative predictors of thrombosis in children with congenital heart disease by V. A. Lastovka, R. F. Tepaev, O. B. Gordeeva, A. R. Bidzhiev, A. A. Chotchaeva

“…The literature describes in detail the disturbances in the hemostasis system observed after cardiac surgeries performed in conditions of artificial circulation, but there are no indicators that could predict the risk of thrombosis in children. The use of parameters of plasma hemostasis as predictors of thrombosis in the algorithm for diagnosing hemocoagulation disorders in children of the first year of life undergoing surgery for congenital heart defects has been substantiated. …”
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