Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples by Eda Yilmaz, Hacer Yalim Keles

“…We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Assessment of the Solar Potential of Buildings Based on Photogrammetric Data by Paulina Jaczewska, Hubert Sybilski, Marlena Tywonek

“…The proposed algorithm enabled assessing the efficiency of photovoltaic panels and comparing the results of maps of the solar potential of buildings, as well as identifying the areas that require optimization. The results of the analysis, which had been conducted in the test areas in the village and on the campus of the university, confirmed the usefulness of the above proposed methods. …”
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Semi-supervised gearbox fault diagnosis under variable working conditions based on masked contrastive learning by ZHANG Huiyun, ZUO Fangjun, LI Hang, YU Xi

“…Finally, during the fine-tuning phase, a domain-conditioned feature correction strategy was introduced to generate target domain feature corrections. By aligning source domain features and target domain corrected features according to the metric of minimizing domain feature distribution discrepancies, the method explicitly reduces the domain distribution differences caused by varying working conditions. …”
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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…A K-means clustering method is implemented to classify price, energy demand, wind, and photovoltaic generation into appropriate clusters embedded into the particle swarm optimization (PSO) algorithm. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…Thus, multiple data sources, including SMS, E-Mail, and URL links, are used in this paper to detect and mitigate phishing attacks.MethodsInitially, the input data is collected from the SMS, E-Mail, and URL datasets. …”
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Design and fabrication of asymmetric Mach-Zehnder interferometers based on EpoClad and EpoCore strip waveguides by Magalhães Tiago E.C., Borme Jérôme, Douglas Temple, Maibohm Christian, Nieder Jana B.

“…In this work, we present a design optimization method and fabrication results by e-beam lithography for integrated asymmetric Mach-Zehnder interferometers based on strip waveguides made from EpoClad and EpoCore polymers. …”
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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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3D Reconstruction With Spherical Cameras by Yan Cui, Qingling Chang, Qiang Liu, Xin Yang, Yajiang Huang, Shichao Chen, Fei Ren, Didier Stricker

“…In the camera locating part, we use a global descriptor augmentation model to build a labeled panorama dataset GDAP, in which the images are captured by our designed spherical cameras; In the depth estimation part, we propose a new network UMDE that can estimate the depth of both indoor and outdoor scenes; Finally, in the 3D surface reconstruction section, we turn the reconstruction problem to a graph optimization problem, called GraphFit, in which, we optimize the point clouds with s-t graph and smoothing method successively. …”
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Dynamic pricing strategy of low-carbon integrated energy system considering multiple uncertainties by BIAN Xinyi, FAN Hong, ZENG Bo

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Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective by Fei Shi, Jingang Zhang, Tiantian Wu

“…This concept aims to achieve a balance in the spatial distribution of bus routes, optimizing both social and economic benefits. The paper presented a novel approach that utilizes multisource big data to assess the spatial sustainability of bus transit, with a specific focus on the existing transit-supportive area (TSA) method. …”
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Robust wireless statistic division multiplexing and its performance analysis by Zhongqiang Luo, Chengjie Li

“…Second, in terms of robust wireless statistic division multiplexing receiving mechanism based on independent component analysis principle, a novel cost function based on minimization mutual information modified by minimum bit error rate constraint is investigated to improve robust performance of source recovery. Furthermore, independent component analysis–based blind source separation method combines with an adaptive moment estimation stochastic optimization for promoting the effectiveness of the source recovery performance. …”
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Hardware-in-loop implementation of an adaptive MPPT controlled PV-assisted EV charging system with vehicle-to-grid integration by Surabhi Singh, Hari Om Bansal

“…Since the performance of the PV source is affected by varying temperatures and irradiance, MPPT methods are needed to extract maximum power from the PV source. …”
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Artificial Intelligence Algorithms for Hybrid Electric Powertrain System Control: A Review by Dawei Zhong, Bolan Liu, Liang Liu, Wenhao Fan, Jingxian Tang

“…Traditional control methods, whether rule-based or optimization-based, often lack global optimality and adaptability. …”
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Rendering the European neutron research landscape by Evgenii Velichko, Hartmut Abele, David J. Barlow, Antonio Benedetto, Stefano Deledda, Lambert van Eijck, Maria Teresa Fernandez-Diaz, Marc Janoschek, Maths Karlsson, Kim Lefmann, Natalie Malikova, Maria P. M. Marques, Konstantina Mergia, Jörg Pieper, Henrik M. Rønnow, Jan Šaroun, Astrid Schneidewind, Frank Schreiber, Kristiaan Temst, Max Wolff, Wojciech Zając, Marco Zanatta

“…Our analysis reveals consistent growth in the neutron community despite a reduction in sources, underscoring the enduring significance of neutron methods in scientific research. …”
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Research on power system transformation based on edge node technology under the background of carbon neutrality by LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu

“…In each island, the improved particle swarm optimization algorithm is used to reasonably distribute the power tasks, forming a novel power system with the coordinated planning of source-network-load-storage as the core. …”
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Analysis of Cogging Torque Ripple Based on Multiple Square-Wave Radial Superposition MMF for Wound-Field Synchronous Motors by Tingting Hou, Jiakuan Xia, Jin Chen, Meijun Qi

“…First, based on the energy method, the analytical expression of cogging torque ripple under the square wave MMF is derived, and the source and weakening method of cogging torque ripple are clarified. …”
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Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms by Shoude Wang, Nur Syazreen Ahmad

“…Experimental results on an open-source dataset covering seven scenarios show average accuracy, precision, recall, and F1 score of 93.2%, 94.8%, 90.3%, and 92.5%, respectively, highlighting the method’s superior performance and robustness in diverse environments.…”
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