Improved Crack Detection and Recognition Based on Convolutional Neural Network by Keqin Chen, Amit Yadav, Asif Khan, Yixin Meng, Kun Zhu

“…There are three obvious limitations existing in the present machine learning methods: low recognition rate, low accuracy, and long time. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…The YOLOv5 algorithm adopted in this study excels at detecting small targets and provides multi-scale detection, strong versatility, fast training, inference speeds, and adaptable fine-tuning capabilities. …”
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Survey on positioning technology based on signal of opportunity from low earth orbit by Jiawei He, Jiawei He, Shaojie Ni, Shaojie Ni, Honglei Lin, Honglei Lin, Zhe Liu, Zhe Liu, Zhibin Xiao, Zhibin Xiao

“…Focusing on major domestic and international LEO constellations (such as Iridium, Orbcomm, Globalstar, Starlink, OneWeb, etc.), this paper summarizes their signal characteristics and the current status of positioning research, and discusses the latest advancements in observable estimation algorithms. Finally, the paper proposes key research directions for the future, including breakthroughs in satellite recognition technology, optimization of positioning algorithms, development of multi-source fusion positioning technology, and observation extraction in complex environments.…”
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Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems by A. Ghassemi, T. A. Gulliver

“…In this paper, we consider the development and performance analysis of these distortionless techniques in conjunction with low-complexity IFFT algorithms to reduce the PAPR of the OFDM signal. …”
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The Line Pressure Detection for Autonomous Vehicles Based on Deep Learning by Xuexi Zhang, Ying Li, Ruidian Zhan, Jiayang Chen, Junxian Li

“…However, these algorithms also have shortcomings such as low detection accuracy or relying on specific scenarios. …”
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Low-cost Cascaded prototype for DC-DC converters for Renewable energy applications by Rerhrhaye Fathallah, Ennaciri Yassine, Rerhrhaye Badr, Lahlouh Ilyas, Khouili Driss, El Martaoui Chaymae, El Akkary Ahmed, Sefiani Nacer

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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…Currently, more and more intrusion detection systems based on machine learning and deep learning are being applied to SDN, but most have drawbacks such as complex models and low detection accuracy. …”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…To this end, a BLSTM based night-time wildfire event detection from a video algorithm is proposed. It is shown in the experiments that the proposed algorithm attains 95.15% of accuracy when tested against a wide variety of actual recordings of night-time wildfire incidents and 23.7 ms per frame detection time. …”
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Simulation of Ground Visibility Based on Atmospheric Boundary Layer Data Using K-Nearest Neighbors and Ensemble Model Algorithms by Ruolan Liu, Shujie Yuan, Duanyang Liu, Lin Han, Fan Zu, Hong Wu, Hongbin Wang

“…This study introduces a machine learning approach for simulating visibility, utilizing the K-Nearest Neighbors algorithm and an ensemble model, which incorporate data from atmospheric boundary layer detection and conventional ground meteorological observations as simulation inputs. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…Commonly used detection algorithms have large parameter counts, high requirements on equipment arithmetic, and are not satisfactory for application in low illumination environments in coal mines. …”
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A novel transformer-based approach for cardiovascular disease detection by Nimra Noor, Muhammad Bilal, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N. Arvanitis

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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…【Methods】This paper proposes a method of using Sparrow Search Algorithm (SSA) to optimize Extreme Gradient Boosting (XGBOOST) for third-order correlation peak classification of direct spread signals to improve the accuracy of <italic>m</italic>-sequence classification and identification.…”
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PUE Attack Detection in CWSN Using Collaboration and Learning Behavior by Javier Blesa, Elena Romero, Alba Rozas, Alvaro Araujo, Octavio Nieto-Taladriz

“…A nonparametric CUSUM algorithm, suitable for low resource networks like CWSN, has been used in this work. …”
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Leather Defect Detection Based on Improved YOLOv8 Model by Zirui Peng, Chen Zhang, Wei Wei

“…Addressing the low accuracy and slow detection speed experienced by algorithms based on deep learning for a leather defect detection task, a lightweight and improved leather defect detection algorithm, dubbed YOLOv8-AGE, has been proposed based on YOLOv8n. …”
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Coal mine conveyor monitoring video enhancement algorithm based on DP-YOLOv7 by Lei ZHANG

“…By introducing detail processing module (DPM) and low frequency enhancement filter (LEF) into PENet network, the detection effect in low light environment of coal mine is enhanced, and the coal dust and water vapor are denoised by domain adaptive algorithm. …”
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LDoS attack detection method based on traffic classification prediction by Liang Liu, Yue Yin, Zhijun Wu, Qingbo Pan, Meng Yue

“…Abstract Aiming at the low rate and strong concealment of low‐rate Denial of Service (LDoS) attacks, the calculation of traffic Hurst index is combined with traffic classification, and a machine learning LDoS attack detection method based on search sorting is proposed. …”
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Analysis on Solar Panel Crack Detection Using Optimization Techniques by M.D. Dafny Lydia, K. Sri Sindhu, K. Gugan

“…In any case, these strategies cost lot of computation time and with low precision. Aiming for a few issues of the existing algorithm, a new framework is proposed to distinguish the cracks. …”
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…The Cumulative Sum (CUSUM) method, based on calculating the cumulative values within a time series, is commonly used for change detection due to its early detection of small drifts, simplicity, low computational cost, and robustness to noise. …”
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Detection of DRFM Deception Jamming Based on Diagonal Integral Bispectrum by Dianxing Sun, Ao Li, Hao Ding, Jifeng Wei

“…The proposed method demonstrates excellent performance under low-SNR conditions. Simulations and experimental results show that the correct detection rate reaches 92% at a jamming-to-signal ratio (JSR) and SNR of 0 dB, validating the effectiveness of the algorithm.…”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…A K-nearest neighbor (KNN) classification algorithm is employed to detect the cell outage automatically. …”
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