Political Factors in Global Communication Platforms: Pavel Durov’s Case by Choi Keunwon, Zotova Tatyana Andreevna

“…A balance between national security and fundamental human rights is of great importance in the digital age. This research featured the recent conflict between Pavel Durov, the founder of the Telegram messenger, and the French authorities. …”
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Designing an electro-optical 8-to-3 encoder based on resonant cavity and graphene-Al2O3 stack in the photonic crystal platform by Fatemeh Haddadan, Mohammad Soroosh, Jaspal Singh

“…Some air holes are assumed near the cavity for achieving an interference, and generating a notch filter at a resonance wavelength of 1.49 µm. …”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…In addition, the model’s anti-interference performance was tested under various extreme conditions. …”
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A Study on Servo Control of Motor-pump Controlled Hydraulic Steering System for Autonomous-rail Rapid Tram by REN Xiaojun, XIAO Lei, PENG Jing, YANG Yong, YOU Wang

“…To achieve rapid response, accuracy, and stability, among other dynamic feature requirements of the autonomous-rail rapid tram steering system, this paper proposes a sliding mode variable structure-fuzzy adaptive hybrid servo control method for the autonomous-rail rapid tram's motor-pump controlled hydraulic steering system. …”
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IMRMB-Net: A lightweight student behavior recognition model for complex classroom scenarios. by Caihong Feng, Zheng Luo, Deyao Kong, Yunhong Ding, Jingyu Liu

“…However, student classroom behavior recognition methods still face challenges such as occlusion, small objects, and environmental interference, resulting in low recognition accuracy and lightweight performance. …”
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Enhancing Image Classification using Graph Attention Networks by Hasan Maher Ahmed

“…The hybrid architecture made possible by combining ViTs with GATs successfully captures complex relationships within visual data because ViTs deliver powerful global feature extraction while GATs establish strong patch-level dependencies. …”
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Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

“…Firstly, graph isomorphic network is used to aggregate feature vectors of adjacent items, which can effectively fuse global and local information, solving the problem that graph neural network is good at capturing local connections between nodes and ignoring global information. …”
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RRFNet: A free-anchor brain tumor detection and classification network based on reparameterization technology. by Wei Liu, Xingxin Guo

“…This study, introduces a backbone network built using RepConv and RepC3, along with FGConcat feature map splicing module to optimize the brain tumor detection model. …”
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Baryogenesis via flavoured leptogenesis in a minimal type-II seesaw model by Sreerupa Chongdar, Sasmita Mishra

“…The new source of charge conjugation and parity (CP) asymmetry comes from interference of tree-level diagram and one-loop vertex diagram involving the heavy particles. …”
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Multielectrode Geoelectrical Tomography for the Quantification of Plant Roots by Mariana Amato, Roberta Rossi, Giovanni Bitella, Stella Lovelli

“…The response was related to RD with significant univariate relationships and the spatial pattern of soil resistivity was dominated by roots and other resistive features like stones in all soils. This allows to conclude that ERT is able to detect plant-root effects even in the presence of a resistive background but resistive features interfere with the mesasurements and need to be taken into account. …”
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Supramodal and cross-modal representations of working memory in higher-order cortex by Doyoung Park, Seong-Hwan Hwang, Keonwoo Lee, Yeeun Ryoo, Hyoung F. Kim, Sue-Hyun Lee

“…While numerous studies have shown the involvement of sensory areas in maintaining working memory in a feature-specific manner, the challenge of utilizing retained sensory representations without interference from incoming stimuli of the same feature remains unresolved. …”
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YOLO-HVS: Infrared Small Target Detection Inspired by the Human Visual System by Xiaoge Wang, Yunlong Sheng, Qun Hao, Haiyuan Hou, Suzhen Nie

“…To address challenges of background interference and limited multi-scale feature extraction in infrared small target detection, this paper proposes a YOLO-HVS detection algorithm inspired by the human visual system. …”
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License Plate Recognition for Smart Construction Sites Based on GMH-YOLO by Ming Li, Ze-Quan Wang, Yu-Hang Zhao, Qiang Li

“…This lightweight gating unit adaptively allocates feature channel resources, effectively enhancing key information while suppressing background interference, making it particularly suitable for detecting multiple license plate types and partially occluded plates in complex construction site environments. …”
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Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

“…The algorithm enhances detection performance through the following optimizations: (1) integrating a lightweight DeepLabv3+ road segmentation module at the input stage to generate mask images, which effectively exclude non-road regions from interference; (2) replacing Conv convolution units in the backbone network with Ghost convolution units, significantly reducing model parameters and computational cost while improving inference speed; (3) introducing the CPCA (Channel Priori Convolution Attention) mechanism to strengthen the feature extraction capability for targets with diverse shapes; and (4) incorporating skip connections and weighted fusion in the Neck feature extraction network to enhance multi-scale object detection. …”
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A Robust Cross-Band Network for Blind Source Separation of Underwater Acoustic Mixed Signals by Xingmei Wang, Peiran Wu, Haisu Wei, Yuezhu Xu, Siyu Wang

“…To address insufficient feature discrimination, we decompose mixed signals into sub-bands aligned with ship noise harmonics. …”
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Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment by Huijuan Guo, Dongzhi Ping, Lijun Wang, Weijie Zhang, Junfeng Wu, Xiao Ma, Qiang Xu, Zhongyu Lu

“…The vibration signal of mechanical equipment in operating environments is the key to describing fault characteristics, but due to thez influence of equipment density and environmental interference, the accuracy of fault diagnosis is often affected by noise. …”
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High-Performance Series-Fed Array Multiple-Input Multiple-Output Antenna for Millimeter-Wave 5G Networks by Nabeel Alsaab, Khaled Alhassoon, Fahd Alsaleem, Fahad Nasser Alsunaydih, Sayed O. Madbouly, Sherif A. Khaleel, Allam M. Ameen, Mahmoud Shaban

“…The four-port MIMO antenna configuration, featuring 1 × 8 series-fed arrays for each port, has demonstrated peak gains of 15.5 dBi and bandwidths of 2 GHz. …”
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Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning by Xin Li, Jinghe Tian, Xinfu Pang, Li Shen, Haibo Li, Zedong Zheng

“…However, existing methods often suffer from poor generalization, background interference, and inadequate real-time performance. To overcome these limitations, we developed an end-to-end defect recognition framework, structured as a three-stage process: blade localization using YOLOv5, robust feature extraction via the large vision model DINOv2, and defect classification using a Stochastic Configuration Network (SCN). …”
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PERSONAL DATA PROTECTION IN PUBLIC ADMINISTRATION – FROM DIGITALIZATION TO LEGAL LIABILITY by Daniela-Iuliana RADU

“…Among those features that belong to it, but that we also encounter in other fields, we note the vastness of this issue, the dynamics (domestic, European and international), but also the complexity determined, among other things, by numerous interdisciplinary interferences. …”
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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…The conventional Capon beamforming algorithm can achieve a high gain in the direction of desired signals and zero-trapping in the direction of interfering signals, providing a high output signal-to-interference-plus-noise ratio (SINR). However, when the steering vector of the desired signal is mismatched, the performance of the Capon beamforming algorithm degrades. …”
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