Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…However, output and judgment errors generated by these models due to the presence of adversarial examples, impose a great impact on the security and safety associated with their applications in automated driving systems. …”
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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…It also examines variations in forces across different FSW types, such as Conventional FSW, Bobbin Tool FSW, and Stationary Shoulder FSW, emphasizing the differences in their operational mechanics. …”
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Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree by E. Abbasi, M. Hadji Hosseinlou

“…The predictions of ANFIS models are combined applying a nonlinear weighted average method composed of M5 tree, and the PSO is utilized to find the optimal parameters of ANFIS models. The performance of the proposed model is evaluated in a case study and the relevant data are collected from a large group of Taxi drivers in the City of Tehran, Iran; as it was carried out to predict the associated accident rates. …”
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External quality assessment study for ebolavirus PCR-diagnostic promotes international preparedness during the 2014 - 2016 Ebola outbreak in West Africa. by Heinz Ellerbrok, Sonja Jacobsen, Pranav Patel, Toni Rieger, Markus Eickmann, Stephan Becker, Stephan Günther, Dhamari Naidoo, Livia Schrick, Kathrin Keeren, Angelina Targosz, Anette Teichmann, Pierre Formenty, Matthias Niedrig

“…However, reliability of these assays is largely unknown and requires serious evaluation. Therefore, a proficiency test panel of 11 samples was generated and distributed on a global scale. …”
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A review of supercritical CO2 Brayton cycle using in renewable energy applications by Wenxiao Chu, Katrine Bennett, Jie Cheng, Yi-Tung Chen

“…In the present paper, the research progress of SCO₂-BC including the performance evaluation, system optimization and economic evaluation are reviewed based on the references in recent years. …”
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A Review of Agent-Based Models for Energy Commodity Markets and Their Natural Integration with RL Models by Silvia Trimarchi, Fabio Casamatta, Laura Gamba, Francesco Grimaccia, Marco Lorenzo, Alessandro Niccolai

“…Agent-based models are a flexible and scalable modeling approach employed to study and describe the evolution of complex systems in different fields, such as social sciences, engineering, and economics. …”
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Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

“…Route classes with different nicknames such as GreenLink and UrbanHealth Path have been created; and (v) DOmbi Bonferroni (DOBI) performance evaluation method was used to determine the preferred priority order for route construction in the study area. …”
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FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design by Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols

“…This rapid evaluation enables a practical inverse analysis framework for obtaining the optimal design parameters that yield the desired effective response. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…MMI couplers, based on self-imaging multimode waveguides, are very compact integrated optical components that can perform many different splitting and recombining functions. The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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Phase Dynamics in 3D Superconductors: Analysis Using the Sine-Gordon by Kiran Khadka, Saddam Husain Dhobi, Kishori Yadav

“…Smaller phase shifts (1°) produce higher-frequency oscillations with amplitudes up to 0.2, while larger shifts (20°) generate broader, less intense waveforms. These findings underscore the critical role of LPD in determining superconducting properties, offering valuable insights for the design and optimization of superconducting devices to enhance performance and efficiency.…”
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Investigation on the motion and fragmentation mechanism of rockfall based on PIV-seismic signal monitoring by Sui Zhende, Zhang Ke, Zhang Kai, Lin Qibin

“…In contrast, signals generated by the subsequent movement of fragmented rock blocks are relatively smoother. …”
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Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. …”
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RETRACTED ARTICLE: Prioritizing customer and technical requirements for microgrid battery integration via a house of quality-driven decision-making approach by Hasan Dinçer, Serhat Yüksel, Serkan Eti, Yaşar Gökalp, Alexey Mikhaylov, Jaehyung An

“…The weights of the criteria are computed with sine trigonometric Pythagorean fuzzy (STPYF) decision making trial and evaluation laboratory (DEMATEL). Moreover, technical requirements are also ranked using a newly developed technique in this study called “ranking technique by geometric mean of similarity ratio to optimal solution” (RATGOS). …”
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Two-Layer Security for Image Encryption: A Switched System Approach by Uyen L. P. Nguyen, Long Tonthat, Vo-Tan Phuoc, Lap Luat Nguyen

“…Finally, the effectiveness of the proposed scheme is evaluated by simulation, then assessing it to different types of cryptanalytic analyses such as information entropy analysis, adjacent pixel correlation, differential attack analysis, key sensitivity analysis, and histogram analysis. …”
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Efficient black-box attack with surrogate models and multiple universal adversarial perturbations by Tao Ma, Hong Zhao, Ling Tang, Mingsheng Xue, Jing Liu

“…The integration of MUAPs, surrogate schemes, and genetic optimization addresses the key limitations of existing methods, offering a robust alternative for generating adversarial perturbations with reduced query budget.…”
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粒径对平底筒仓中心卸料的流态 及仓壁压力分布的影响Influence of particle size on the flow pattern and wall pressure distribution of central discharge in flat-bottom silo... by 杨世明1,刘克瑾2,姚辉江2,黄硕硕2,杜春来1,章敬波1 YANG Shiming1, LIU Kejin2, YAO Huijiang2, HUANG Shuoshuo2, DU Chunlai1, ZHANG Jingbo1

“…Three methods of flow pattern observation, velocity analysis, and particle displacement tracking were used to explore the flow pattern evolution of the three groups of particles with different particle sizes. …”
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Using the TOPSIS method to select the best low-toxicity organic cosolvent for rice-based toxicity tests by Xingren Pan, Yi Kang, Jun-Feng Lu, Xiao-Zhang Yu

“…Three different weighting coefficients, namely entropy weight coefficients (EWCs), contribution factor coefficients (CFCs), and combination effective coefficients (CECs) were adopted to calibrate the initially created evaluation matrices. …”
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A High-resolution Soil Organic Carbon Map for Great Britain by Salar Mahmood, Beccy Wilebore, Rhosanna Jenkins, Katherine J. Willis, Marc Macias-Fauria, Shibu M. Ebrahim

“…Our SOC stock estimation compares with previous studies and our map reflects expected SOC distribution for different parts of GB under different LCs. Its high spatial resolution and accuracy enable SOC assessment at small scales (a single farm or a field) and can help to develop sustainable land management and guide soil sampling by optimizing sampling size and cost.…”
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Enhancing Sentiment and Emotion Classification with LSTM-Based Semi-Supervised Learning by Rochmat Husaini, Nur Heri Cahyana, Wisnalmawati Wisnalmawati, Tri Mardiana, Yuli Fauziah

“…The LSTM model was trained using labeled data and used to generate pseudo-labels for unlabeled data across three iterations. …”
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