Photonic indistinguishability characterization and optimization for cavity-based single-photon source by Miao Cai, Mingyuan Chen, Jiangshan Tang, Keyu Xia

“…We provide a comprehensive comparison of single-photon indistinguishability of different kinds of cavity quantum electrodynamics (CQEDs) systems by numerically simulating Hong–Ou–Mandel two-photon interference. We find that the CQED system using natural atoms exhibits superiority in indistinguishability, benefiting from the inherently identical features. …”
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A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…Traditional detection methods rely on manual experience, which is time-consuming, inefficient, and prone to subjective interference, making them unsuitable for large-scale production. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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A Method for Diagnosing Diabetic Retinopathy Based on Ocular Fundus Imaging by N. T. Tuyen, T. T. Huu

“…However, the background interference and low contrast of such images significantly hinders the timely detection of vascular lesions. …”
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Regulatory Impact Assessment in Post-Soviet Countries: Results, Problems and Prospects by I.  D. Turgel, A.  Zh. Panzabekova

“…Moreover, the paper notes that at the present stage of the development of the regulatory impact assessment institute little attention is paid to finding alternative solutions which require government interference in the economy.…”
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The Russian vernacular from the second half of the 19th to the first half of the 20th century by Eremin Alexander N.

“…The vernacular had linguistic features at all levels of the language, but above all at the lexico-semantic level. …”
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MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising by Xusheng Zhu, Shuai Ma, Daixin Chen, Li Zhou, Haibo Tang

“…In the process of acquiring 3D point cloud data, due to environmental interference or unstable scanning equipment, the acquired data often have noisy points. …”
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A Fast Rail Profile Point Cloud Matching Algorithm Based on Overlay Weight ICP by ZUO Wei, LI Jianfeng, LUO Zihe

“…Firstly, the geometric features of the rail profile are used for fast rough matching, providing a high-quality initial input for the ICP algorithm. …”
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A Multiconstrained QoS Aware MAC Protocol for Cluster-Based Cognitive Radio Sensor Networks by Mir Mehedi Ahsan Pritom, Sujan Sarker, Md. Abdur Razzaque, Mohammad Mehedi Hassan, M. Anwar Hossain, Abdulhameed Alelaiwi

“…Traditional wireless sensor networks (WSNs) work over the unlicensed spectrum, and as the spectrum becomes increasingly crowded, they suffer from uncontrolled interference. Recently, cognitive radio based sensor networks (CRSNs) have been envisioned as a promising type of implementation that provides quality-of-service (QoS) features for data transmissions. …”
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Localized Sound‐Integrated Display Speaker Using Crosstalk‐Free Piezoelectric Vibration Array by Inpyo Hong, Su Seok Choi

“…Abstract Beyond visual quality, features like sound and tactile feedback have become essential to enhancing user experience, resulting in more immersive, realistic displays. …”
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Research on a collaborative platform for teaching English in universities based on an intelligent voice system by Junwei Niu, Lijuan Jiang

“…Online teaching platforms have become an essential component of distance education; however, traditional platforms often suffer from background noise interference and insufficient teacher-student interaction, adversely affecting students' learning outcomes. …”
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A New Dynamic Balance Framework Based on Blind Source Separation under Multiple Fault Conditions by Bo Lang, Xinyi Zhang, Jun Xiao, Shouhang Lu, Bing Li

“…Thus, it is necessary to isolate the corresponding features and obtain the intrinsic causes of the multiple failures. …”
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The value of nucleoporin 188 in diagnosis, prognosis and immunoregulation: from pan-cancer analysis to gastric cancer verification by Zhengfeng Zhu, Ru Peng, Huanhuan Cai

“…The association between NUP188 and clinicopathologic features was explored, and the predictive value of NUP188 was determined. …”
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Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU by Yajing Xing, Jinbiao Tan, Rui Zhang, Jiafu Wan

“…The proposed method achieves anomaly detection and robust performance in noise interference, which provides feasible technical support for the stable operation of industrial equipment in complex environments.…”
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Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection by Ciyun Lin, Wenjian Sun, Ganghao Sun, Bown Gong, Hongchao Liu

“…This empirical accuracy underscores the proposed method’s robustness in real-world scenarios, effectively mitigating the challenges posed by environmental interference.…”
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Object Detection Method of Inland Vessel Based on Improved YOLO by Yaoqi Wang, Jiasheng Song, Yichun Wang, Rongjie Wang, Hongyu Chen

“…Firstly, the CAA attention module is introduced into the Backbone network, and the C2f_CAA module is constructed at the same time to enhance the features of the central region and improve the understanding ability of complex scenes. …”
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Electroporation-mediated functional analysis method of genes in the giant insect Trypoxylus dichotomus by Kazuki Sakura, Shinichi Morita, Toshiya Ando, Karen Yuzaki, Shuji Shigenobu, Teruyuki Niimi

“…To investigate the molecular basis of these characteristics, systemic larval RNA interference (RNAi) has been employed as a primary loss-of-function genetic tool. …”
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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

“…The communication process may be substantially disrupted due to the underwater acoustic channel's time-varying and space-varying features. As a result, the underwater acoustic communication system faces the problems of reducing interference and enhancing communication effectiveness and quality through adaptive modulation. …”
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DeCGAN: Speech Enhancement Algorithm for Air Traffic Control by Haijun Liang, Yimin He, Hanwen Chang, Jianguo Kong

“…Air traffic control (ATC) communication is susceptible to speech noise interference, which undermines the quality of civil aviation speech. …”
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