Efficient deep learning based rail fastener screw detection method for fastener screw maintenance robot under complex lighting conditions by Yijie Cai, Ming He, Bin Chen

“…The GB-Neck part can lighten the feature fusion network while maintaining the ability of accurate feature information extraction operation. …”
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YOLOv3-A: a traffic sign detection network based on attention mechanism by Fan GUO, Yongxiang ZHANG, Jin TANG, Weiqing LI

“…To solve the problem that the existing YOLOv3 algorithm had more false detections and missed detections for traffic sign detection task with small target problems and complex background, based on the YOLOv3, a channel attention method for target detection and a spatial attention method based on semantic segmentation guidance were proposed to form the YOLOv3-A (attention) algorithm.The detection features in the channel and spatial dimensions were recalibrated, allowing the network to focus and enhance the effective features, and suppress interference features, which greatly improved the detection performance.Experiments on the TT100K traffic sign data set show that the algorithm improves the detection performance of small targets, and the accuracy and recall rate of the YOLOv3 are improved by 1.9% and 2.8% respectively.…”
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Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology by Xuan Cao, Feng Xiong, Yang Wang, Haikuan Ma, Yanmin Zhang, Yan Liu, Xiangfeng Kong, Jingru Wang, Qian Shi, Pingping Fan, Yunzhou Li, Ning Wu

“…However, independent spectral methods are susceptible to interference, and insufficient extraction of the data features can occur. …”
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Improved Water Level Retrieval in Complex Riverine Environments: Sentinel‐3 and Sentinel‐6 Altimetry Over China's Rivers by Chenqi Fang, Di Long, Qi Huang, Fanyu Zhao, Huaichuan Liu, Xingwu Duan, Aizhong Hou

“…Error analysis revealed that the altimetric accuracy is primarily influenced by the underlying surface characteristics of VSs, with built‐up areas exerting significant interference. Additional disturbances stem from surrounding waters, large slopes, river channels running parallel to the satellite's ground track, and unique features such as sandbars, braided and ice‐covered rivers, and hydroelectric stations. …”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…With the increasing deployment of 5G networks, the vulnerability to malicious interference, such as jamming attacks, has become a significant concern. …”
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Exploring the Potential of Wi-Fi in Industrial Environments: A Comparative Performance Analysis of IEEE 802.11 Standards by Luis M. Bartolín-Arnau, Federico Orozco-Santos, Víctor Sempere-Payá, Javier Silvestre-Blanes, Teresa Albero-Albero, David Llacer-Garcia

“…Results prove that Wi-Fi 6/6E delivers the best overall performance, particularly in low-interference 6 GHz scenarios. Wi-Fi 5 performs well in medium-range settings but is more sensitive to congestion, while Wi-Fi 4 consistently underperforms. …”
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Diagnostic Challenges: A Review of Non Classic Thyroid Function Test Patterns by Pooja Varadaraj, Renuka Panchagnula

“…Aside from some obvious presenting features of thyroid disease, such as goitre, which can easily be identified, patients with thyroid conditions may present with non specific symptoms. …”
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Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…The study proposed a background model constructed by an optimized Gaussian mixture model based on the background subtraction method to eliminate the background interference. Based on this model, an ABD method was established using action data based on spatio-temporal block detection and motion foreground effect map features. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The model integrates the original YOLOv8n with a lightweight StarNet to form a dual-backbone structure, enabling efficient multi-channel feature fusion and enhancing fine-grained maturity feature extraction. …”
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Discrete PID-Type Iterative Learning Control for Mobile Robot by Hongbin Wang, Jian Dong, Yueling Wang

“…This algorithm used discrete PID to filter rejection and restrained the influence of interference and noise on trajectory tracking, which made it more suitable for engineering application. …”
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The staff ensuring of publishing houses of the Soviet Ukraine in 20th-30th of XX century by Valentyna Molotkina

“…The article deals with special features of staff ensuring of USSR's publishing houses in 20-30th of XX century. …”
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Underwater acoustic communications based on differential chaos shift keying by Hongying DAI, Menglei CHEN, Weikai XU

“…As the most stringent and complicated channel,underwater acoustic (UWA) channels are featured by high multipath interference,time-frequency doubly spread,high noise,and narrow bandwidth.Due to time varying of underwater acoustic,it is difficult to trance and estimate channel state information (CSI).The underwater acoustic communication techniques based on orthogonal frequency division multiplex (OFDM) and spread spectrum were reviewed.Then,the characteristic of differential chaos shift keying (DCSK) was analyzed,and two multicarrier differential chaos shift keying modulations were proposed.Finally,over time-frequency doubly spread channel and underwater acoustic channel,the bit errors rate (BER) performances for two proposed schemes were presented and analyzed.Numerical results show that the proposed schemes own good robustness over underwater acoustic channels.…”
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Intelligent security relay selection for full duplex wireless communications by Fang LIU, Yajuan WANG, Zhengrong LAI, Yuan’an LIU

“…Full-duplex can double the spectrum efficiency theoretically.Thus it can further improve the spectrum efficiency when it is used in the relay systems.Considering the residual self-interference and signal-to-noise ratio,a problem was set to maximize the security capacity by selecting the optimal relay.This optimization problem was transformed into multi-classification problem.Thus a convolutional neural network (CNN)-based intelligent relay selection scheme was proposed.In the design of the classification model,the CNN was used to extract the spatial correlation of the channel,and the dimension of the convolution kernel was related to the number of relays.The pooling layer was not used to preserve the matrix characteristics of the input features.The simulation results show that the proposed CNN-based intelligent selection classification model has high classification accuracy,and can obtain the same security performance as the traditional exhaustive search scheme,and the real-time performance is significantly improved.…”
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Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework by Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud

“…Automatic modulation classification (AMC) is essential for spectrum awareness, interference mitigation, and autonomous decision-making. …”
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kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…They are also susceptible to interference from species with similar spectral features, resulting in high false positive rates. …”
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SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

“…SolarSegNet consists of three modules: The adaptive depth separable (ADS) module for local detailed feature extraction, the global-local awareness block (GLAB) for capturing global context, and the adaptive high-frequency awareness block (AHFAB) to mitigate cloud interference. …”
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Detection of Alzheimer and mild cognitive impairment patients by Poincare and Entropy methods based on electroencephalography signals by Umut Aslan, Mehmet Feyzi Akşahin

“…Recognizing the non-stationary nature of EEG signals, two nonlinear approaches, Poincare and Entropy, are employed for meaningful feature extraction. Data should be segmented into epochs to extract features from EEG signals, and feature extraction approaches should be implemented for each one. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Secondly, a novel Global Multi-Scale Attention (GMA) mechanism was proposed to improve the recognition of both local and global crack features. This mechanism groups the input feature maps by channels and applies average and max pooling operations in both the horizontal and vertical directions. …”
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Technology and practice for efficient development of coalbed methane horizontal wells in high-rank coal of Qinshui Basin by WU Xi

“…On this basis, with the objective of “initiating a fracture network, creating new fractures, and controlling reserves”, key technologies were devised—primarily including energy-focused directional perforation, stepwise hydraulic fracturing for incremental production enhancement, a combined application of fine-powder sand, and synchronous well-group interference. At the same time, the process technologies of bridge-plug-and-perforation using active water as the main body and well-group synchronous interference operations were refined, leading to the establishment of a linear fracture network system conducive to gas production, achieving efficient hydraulic fracturing. …”
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Idiopathic Hypertrophy of the Masseter Muscle by S. S. Rawat, Kamla Sharma

“…A short summary of the literature on masseter hypertrophy has been given along with the findings from our own series of eight cases. The salient features of our findings are that the condition is perhaps related to some type of work hypertrophy, in our cases bitel-nut chewing; that only for marked cosmetic deformity is surgical interference indicated; we prefer the extraoral appre ach with excision of the external portion of the muscle, which may be combined with excision of the hyperostotic bone where necessary; ordinary histological examination does not reveal any changes in the muscle histology but special technique like silver staining could help. …”
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