An Improved Kernelized Correlation Filter for Extracting Traffic Flow in Satellite Videos by Dudu Guo, Hongbo Shuai, Jie Zhang, Yang Wang, Miao Sun

“…Finally, the virtual detection line method was used to extract the traffic flow. …”
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Location of the Voltage Sag Source Based on Negative Sequence Power Flow by WEN Lei

“…Voltage sag source location is the important basis for detecting weak part and solving the responsibility’s problems between customers and suppliers. …”
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Study on the effect of pulsed eddy current lift-off characteristics for feeding metallic foreign objects detection in coal mine crushers by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

“…Abstract This study addresses the challenges of low accuracy and poor timeliness in feeding metallic foreign object detection during high-output continuous crushing operations in coal mines. …”
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Anti-interference algorithm of wireless channel for IoT communication by Ling TAN, Yong ZHUANG

“…In IoT communication,the anti-interference of wireless channel is influenced by various factors.Multi-antenna system has significant effect for promoting anti-interference of channel,whose complexity and performance in signal detection need further improvement.The QR decomposition detection algorithm in signal detection of multi-antenna system has low computational complexity,but the algorithm performance is poor.In order to improve the performance of QR decomposition detection algorithm,a QR decomposition algorithm based on ML criterion and decision candidate mechanism was proposed,and the performance of the algorithm was analyzed.The ML criterion was used to estimate the initial level of the detection,and a reliable decision was adopted in the other detection layer.Candidate points were introduced in unreliable case and the optimal candidate were selected from the feedback.The algorithm could significantly improve the system interference,and propagation error were greatly reduced in the decision feedback.The experimental results show that the proposed algorithm can improve the performance of the IoT system effectively with certain complexity.…”
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Anti-interference algorithm of wireless channel for IoT communication by Ling TAN, Yong ZHUANG

“…In IoT communication,the anti-interference of wireless channel is influenced by various factors.Multi-antenna system has significant effect for promoting anti-interference of channel,whose complexity and performance in signal detection need further improvement.The QR decomposition detection algorithm in signal detection of multi-antenna system has low computational complexity,but the algorithm performance is poor.In order to improve the performance of QR decomposition detection algorithm,a QR decomposition algorithm based on ML criterion and decision candidate mechanism was proposed,and the performance of the algorithm was analyzed.The ML criterion was used to estimate the initial level of the detection,and a reliable decision was adopted in the other detection layer.Candidate points were introduced in unreliable case and the optimal candidate were selected from the feedback.The algorithm could significantly improve the system interference,and propagation error were greatly reduced in the decision feedback.The experimental results show that the proposed algorithm can improve the performance of the IoT system effectively with certain complexity.…”
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A flexible generative algorithm for growing in silico placentas. by Diana C de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V Hajnal, Daniel C Alexander, Rebecca J Shipley, Paddy J Slator

“…Complications like fetal growth restriction and pre-eclampsia are linked to placental vascular structure abnormalities, highlighting the need for early detection of placental health issues. Computational modelling offers insights into how vascular architecture correlates with flow and oxygenation in both healthy and dysfunctional placentas. …”
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Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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Accelerating the k-Means++ Algorithm by Using Geometric Information by Guillem Rodriguez Corominas, Maria J. Blesa, Christian Blum

“…Real-world use cases include social network analysis, medical imaging, market segmentation, and anomaly detection, to name a few. In this paper, we propose an acceleration of the exact k-means++ algorithm using geometric information, specifically the Triangle Inequality and additional norm filters, along with a two-step sampling procedure. …”
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A Low-Complexity Expectation Propagation Detector for OTFS by Xumin Pu, Zhinan Sun, Wanli Wen, Qianbin Chen, Shi Jin

“…The proposed algorithm only requires log-linear complexity. In addition, simulation results show that the proposed algorithm not only has the advantage of low complexity but also has good performance, which achieves a tradeoff between performance and complexity.…”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. …”
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Network-based malcode detection technology by WU Bing1, YUN Xiao-chun2, GAO Qi1

“…Following the analysis for traditional distributed IDS,disadvantages that applying structure of multiple engine and small rules set to detect network-level malcode were pointed out,which is based on detailed protocol decoding.Detection model and anti-malcode markup language of network-level malcode were designed for single engine and big rules set.The characteristics of network data flow were analyzed.By optimization of patterns,frequent collisions between suffix with data flow and unbalanced branched of chained list were avoided.The efficiency by using WM algorithm to detect malcode on network level can be remarkably increased.…”
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On Guaranteed Detectability for Surveillance Sensor Networks by Yanmin Zhu

“…In this paper, we propose a fully distributed algorithm GAP for energy-efficient event detection for surveillance applications. …”
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Online Spectroscopic Study on the Positive and the Negative Electrolytes in Vanadium Redox Flow Batteries by Le Liu, Jingyu Xi, Zenghua Wu, Wenguang Zhang, Haipeng Zhou, Weibin Li, Yonghong He

“…Traditional spectroscopic analysis based on the Beer-Lambert law cannot analyze the analyte with high concentration and interference between different compositions, such as the electrolyte in vanadium redox flow batteries (VRBs). Here we propose a new method for online detection of such analytes. …”
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Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization by Xinhai Wang, Wenhua Shao

“…This can effectively detect changes in road traffic flow and provide early warnings for possible accidents. …”
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Flow cytometry in the diagnosis of plasma cell tumors and assessment of minimal residual disease by L. Yu. Grivtsova, T. Yu. Mushkarina, V. V. Lunin, P. A. Zeynalova

“…Standardized flow cytometric protocols (the Euro-Flow conception) and algorithms for both the diagnosis of plasma cell tumors and the detection of minimal residual disease in plasma cell myeloma are described.…”
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Adaptive spectrum sensing algorithm based on cyclostationary spectrum energy by Hao-ye ZHANG, Zhi-hua BAO, Shi-bing ZHANG

“…Focused on the characteristic of cyclostationary spectrum of signal and the spectrum sensing in low signal-to-noise ratio,an adaptive decision threshold spectrum sensing algorithm was proposed,which combines cyclostationary spectrum sensing with energy detection.By weighting the sum of probabilities of detection and false alarm,estimating the eigenvalues of the cyclostationary spectrum,the algorithm provides an adaptive decision threshold which could differentiate the primary signal from the background noise.The simulation results show that the algorithm could perform well in low signal-to-noise ratio and remove the effect of noise uncertainty on the spectrum sensing.It outperforms maximum-minimum eigenvalue and blind detection with 4dB and 8dB respectively in signal-to-noise ratio,and has robustness to different modulated primary signal.…”
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PERFORMANCE EVALUATION OF LIGHTWEIGHT OBJECT DETECTION MODELS FOR REAL-TIME PERSONAL PROTECTIVE EQUIPMENT DETECTION IN THE CONSTRUCTION SITES by Herman, Sandy Alferro Dion, Andik Yulianto

“…Using lightweight machine learning algorithms, object recognition can help to detect if the PPEs are worn correctly. …”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

“…In this project, using low-level preprocessing techniques and image segmentation, the breast cancer detection is done. …”
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Classification Algorithms for Early Tooth Demineralization Assessment by Impedance Spectroscopy by Isabella Sannino, Luca Lombardo, Leila Es Sebar, Marco Parvis, Allegra Comba, Nicola Scotti, Emma Angelini, Leonardo Iannucci, Tolou Shokuhfar, Sabrina Grassini

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Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…The construction of such detection systems is distinguished by its intricacy and entails substantial associated costs.PurposeThis study aims to achieve a design for a muon track detection system that is characterized by simplicity, low cost, and high precision.MethodsThe Geant4 software was applied to the simulation of detectors comprising square and circular plastic scintillators coupled with silicon photon multipliers (SiPMs) without segmentation. …”
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