A low-delay information sharing algorithm for multiple-radio-per-platform networking by Ge Lin, Xu Renhui, Peng Laixian, Li Aijing, Yang Yaoqi

“…In order to ensure the strong real-time information sharing of Aerial Ad hoc Network, a low-delay information sharing algorithm for multiple-radio-per-platform networking is proposed based on the directional transmission capability of phased-array antenna. …”
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The DOA Estimation Algorithm Based on Virtual Domain Block Matching for Nested Arrays in the Presence of Mutual Coupling by Shun He, Nan Sun, Zhiwei Yang, Le Qin

“…Using algorithms to reduce it is an effective approach. Few algorithms are suitable for nested arrays, and due to incomplete elimination or the loss of some data, they performance deteriorates in the small number of snapshot and low signal-to-noise ratio environments. …”
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Replica Node Detection Using Enhanced Single Hop Detection with Clonal Selection Algorithm in Mobile Wireless Sensor Networks by L. S. Sindhuja, G. Padmavathi

“…These methods incur control overheads and the detection accuracy is low when the replica is selected as a witness node. …”
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Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning by Yang GAO, Jun-li CHEN, Guang-li YANG

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Detection of Weak Radar Return Signals Based on Pseudo-Time Domain Algorithm by Kaili Wang, Kai Yuan, Bo Bai, Rongxin Tang

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FB-YOLOv8s: A fire detection algorithm based on YOLOv8s by Yuhang Liu, Chunjuan Bo, Chong Feng

“…However, there exist some problems in traditional detection algorithms of fire, such as low accuracy, high miss rate, and low detection rate of small targets. …”
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A two level multi-antenna blind spectrum detection about spatial spectrum by Zhiqiang BAO, Yanrui CUI, Xiao XU

“…In order to improve the perceptual performance,the array spatial spectrum search technology was applied to the spectrum sensing field.A blind spectrum detection algorithm based on two stage detection of spatial spectral values was proposed.Firstly,the maximum and minimum values of the spatial spectrum were used as the test statistics to detect the spectrum.Then the mean value of spatial spectrum for the undetected part was used in the second level detection.By using the advantage of the spatial matching filter,the new algorithm achieved higher detection probability under the low SNR and low sampling rate,and the threshold of detection was accurately deduced based on probability theory.The simulation and comparison results show that TDSS algorithm has better detection effects than some existing classical blind spectrum sensing algorithms.…”
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An Infrared Small Target Detection Algorithm Utilizing Joint Local Contrast Measure by Qing Zhao, Jiawen Liao, Derui Zhang

“…However, when dealing with complex backgrounds or targets close to the edges of jamming objects, existing algorithms typically encounter significant challenges, such as high false alarm rates and low detection probabilities. …”
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A fault detection and location algorithm for the LVDC interconnection network in rural area by Chengwei Liu, Joan Marc Rodriguez‐Bernuz, Di Liu, Saizhao Yang, Yitong Li, Qiteng Hong, Adrià Junyent‐Ferré

“…The proposed algorithm uses the sensors of the interface converters to detect the fault. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…We analyze and propose an improved algorithm EFA-SSD (Enhanced Feature Aggregation SSD) for automatic detection of airport road subsurface diseases, which solves the problems of strong noise background conditions, severe interference of morphological features of different types of subsurface diseases, and low target recognition. …”
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Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms by Manny Villa, Eduardo Casilari

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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…However, during multi-angle imaging, UAVs often encounter challenges such as a low target pixel ratio and significant background interference, leading to missed detection and false detection. …”
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Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images by Kaiyuan Long, Shibo Li, Jiangping Long, Hui Lin, Yang Yin

“…Ablation experiments demonstrate that compared to baseline models, YOLO-PH exhibits notable improvements of 1.3% in mAP50 and 1.1% in mAP50:95 while simultaneously achieving a reduction of 48.8% in FLOPs and an impressive increase of 26.8 FPS (frames per second) in detection speed. In practical applications for detecting indistinct boundary planting holes within complex scenarios, our algorithm consistently outperforms other detection networks with exceptional precision (F1-score = 0.95), low computational cost, rapid detection speed, and robustness, thus laying a solid foundation for advancing precision agriculture.…”
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RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…Abstract Object detection algorithm in urban traffic using remote sensing images often suffers from high complexity, low real-time performance, and low accuracy. …”
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Anomaly detection algorithm based on fractal characteristics of large-scale network traffic by XU Xiao-dong1, ZHU Shi-rui2, SUN Ya-min1

“…Based on the fractal structure of the large-scale network traffic aggregation, anomalies were analyzed qualitatively and quantitatively from perspective of the global and local scaling exponents.Multi-fractal singular spectrum and Lipschitz regularity distribution were used to analyze the fractal parameters of abnormal flow, trying to identify the relationship between the changes of these parameters and the emergence of anomalies.Experimental results show that the emergence of anomalies has obvious signs on the singular spectrum and Lipschitz regularity distribution.Using this feature, a new multi-fractal-based anomaly detection algorithm and a new detection framework were constructed.On the DARPA/Lincoln laboratory intrusion detection evaluation data set 1999, this algorithm’s detection rate is high at low false alarm rate, which is better than EMERALD.…”
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Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling by Miao Peng, Sue Bai, Yang Lu

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Fog Visibility Detection of Highway Based on Improved Dark Channel Prior Algorithm by Huiqi Zhang, Yong Liu, Chenxi Wu

“…The low visibility near the ground in foggy weather can easily lead to vicious traffic accidents, so research on visibility detection in foggy weather is fundamental for traffic control. …”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…Aiming at the problem of low detection accuracy of network traffic data types by traditional intrusion detection methods, we propose an improved Harris Hawk hybrid intrusion detection method to enhance the detection capability. …”
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An edge detection method of pantograph carbon slide based on an improved Canny algorithm by YANG Jun, GUO Youmin, WANG Jianxin, ZHAO Hongliang

“…Aiming at the problems of inaccurate extraction, discontinuity and being susceptible to noise when the edge of a carbon slide is detected by using a traditional edge detection algorithm, an edge detection method of pantograph carbon slide based on an improved Canny algorithm was proposed in the paper. …”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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