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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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…In this study, an optimized Lucas–Kanade optical flow algorithm is proposed, and it integrates feature point trajectory analysis with an adaptive thresholding mechanism, and improves the accuracy of the measurements through an innovative error vector filtering strategy. …”
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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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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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Text-in-Image Enhanced Self-Supervised Alignment Model for Aspect-Based Multimodal Sentiment Analysis on Social Media by Xuefeng Zhao, Yuxiang Wang, Zhaoman Zhong

“…Additionally, we incorporate aspect words to guide the model in disregarding irrelevant semantic features, thereby reducing noise interference. Furthermore, to mitigate the semantic gap between modalities, we propose pre-training the feature extraction module with self-supervised alignment. …”
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Dense-Fusion2Net a more efficient and lightweight short speech speaker recognition system with time-frequency channel attention by Fei Deng, Rui Huang, Peifan Jiang, Lin Yu, Lihong Deng

“…We propose the Dense-Fusion2Net network architecture to more efficiently utilize the limited acoustic features in short speech segments. We designed the Time-Frequency Channel Attention (TFCA). …”
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Advanced fault diagnosis in industrial robots through hierarchical hyper-laplacian priors and singular spectrum analysis by Riyadh Nazar Ali Algburi, Hakim S. Sultan Aljibori, Zaid Al-Huda, Yeong Hyeon Gu, Mugahed A. Al-antari

“…In addition, the HHLP algorithm can identify harmonic interference, periodical impulses, and noise, with maximal posterior probabilities compared to the other algorithms. …”
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BiLSTM-Attention-PFTBD: Robust Long-Baseline Acoustic Localization for Autonomous Underwater Vehicles in Adversarial Environments by Yizhuo Jia, Yi Lou, Yunjiang Zhao, Sibo Sun, Julian Cheng

“…This combination enables better feature extraction and adaptation for localizing AUVs in adversarial underwater environments. …”
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An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering by Zhao Shi, Lingjiang Huang, Fengyuan Wu, Yong Lei, Huiying Wang, Zhiya Tang

“…Subsequently, a multi-threshold clutter filtering method was proposed to identify and eliminate abnormal interferences such as noise spikes, radial interference, and suspended matter clutter. …”
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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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High precision DOA estimation of microphone array for shipboard teleconferencing by Liu Yuji, Tong Feng, Chen Dongsheng, Lu Rongfu, Feng Wanjian

“…With this method, Mask algorithm is introduced into the DOA estimation neural network to reduce the noise and reverb interference, then the enhanced GCC-PHAT is extracted as the network feature, so as to realize the high-precision DOA estimation on the small-size microphone array. …”
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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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Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…The results show that this machine learning method can effectively eliminate the interference fringes in the IR spectrum, and complete the feature selection and dimensionality reduction of the high-dimensional spectral data. …”
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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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Detection of SAR Image Multiscale Ship Targets in Complex Inshore Scenes Based on Improved YOLOv5 by Zhixu Wang, Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yonghang Tai

“…Then, asymmetric pyramidal nonlocal block and sim attention mechanism are introduced to reduce nearshore background interference. Additionally, to make the C3 module output richer and with more feature information, channel shuffling is performed after the C3 output to enhance the information exchange between channels. …”
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TNFAIP2 promotes NF-κB signaling mediate lymph node metastasis of oral squamous cell carcinoma by protecting IKKβ from ubiquitin proteasome degradation by Teng Xu, Yaning Wang, Zechen Zhao, Jinsong Wang, Zhenyuan Zhao, Yuemei Yang, Xiaomeng Song, Qingguo Lai

“…The nHAp based TNFAIP2 interference might serve as a novel therapeutic in limiting OSCC metastasis.…”
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Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy by Leilei Zheng, Xinyan Wu, Wei Gu, Rui Wang, Jing Wang, Hongying He, Zhao Wang, Bin Yi, Yi Zhang

“…The best models were selected based on the area under the receiver operating characteristic curve (AUROC). Model feature importance was explained and analyzed using Shapley Additive Explanations (SHAP). …”
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