Quantifying the Impact of Environmental Factors on the Methane Point-Source Emission Algorithm by Zixuan Wang, Linxin Wang, Ding Li, Lingjing Yang, Lixue Cao, Qin He, Kai Qin

“…The results offer critical insights for refining CH₄ detection algorithms and enhancing the precision of satellite-based inversions for low-concentration CH₄ point-source emissions.…”
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Energy-Aware Distributed Clustering Algorithm for Improving Network Performance in WSNs by Joon-Ik Kong, Jin-Woo Kim, Doo-Seop Eom

“…In this paper, we propose an energy-efficient clustering algorithm that can respond rapidly to unexpected events with increased energy efficiency, because each sensor node detects events individually and creates clusters using a regional competition scheme. …”
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INTERACTIVE ALGORITHM FOR SELECTION OF LINEAR OBJECTS ON AERIAL PHOTOGRAPHS AND SATELLITE IMAGES by Э. Н. Seredin, B. A. Zalesky

“…The algorithm provides fast detection of linear objects,it is easy tuned and convenient for practical use. …”
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Fibre tracing in biomedical images: An objective comparison between seven algorithms. by Youssef Arafat, Cristina Cuesta-Apausa, Esther Castellano, Constantino Carlos Reyes-Aldasoro

“…Trace Ridges is a fully automatic and fast algorithm that combines a series of image-processing algorithms including filtering, watershed transform and edge detection to obtain an accurate delineation of the fibre-like structures in a rapid time. …”
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FMCW radar range estimation algorithm based on fast iterative interpolation by Yongchang DUAN, Xin LI, Yaohui HUANG, Ping HUANG

“…For the multi-target detection,a multi-objective range estimation algorithm was proposed based on iterative interpolation to solve the problem of the range accuracy of frequency modulation continuous wave (FMCW) radar being easy to be interfered by spectrum.Firstly,the number of targets and the rough location of the target were obtained through the fast Fourier transform (FFT) and the constant false alarm (CFAR) detection algorithm.Then spectrum was iteratively interpolate,and the inter-spectral interference was eliminated during each iteration to obtain more accurate distance.Simulation results show that the proposed algorithm has higher estimation accuracy in multi-target environment and low Signal-to-noise ratio(SNR).The proposed algorithm is implemented by DSP,which proved that the algorithm meets the real-time requirements and is easy to be implemented in engineering.…”
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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…The detection frame rate reaches 189 frames per second on the ROUD dataset, thus meeting the high accuracy requirements for underwater object detection algorithms and facilitating lightweight and fast edge deployment.…”
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RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

“…This self-contained, edge-computing module integrates custom hardware with real-time machine learning and optical flow algorithms, enabling onboard water segmentation and river surface velocity estimation. …”
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Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…Therefore, this paper studies the use of the You Only Look Once series algorithm and the use of the regression network general target tracking algorithm to improve the detection and tracker part of the track-learning-detection algorithm. …”
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Optimization Algorithms for Cable Fault Localization and Assessment in Smart Power Systems by Wenxuan Wang, Yali Shi, Minghui Liu

“…Firstly, we use the good self-sustainability of the optical soliton (Soliton) in fiber optic communication to modulate its spectral information into the reflection information of the cable frequency domain, secondly, we define the attenuation operator to compensate for the attenuation of the spectral information and the integral kernel function, and set up the Chebyshev window function to weaken the low-frequency components of the spectrum to be detected. …”
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A Biphase Code Sidelobe Suppression Method Based on the CLEAN Algorithm by Yiding Liang, Liyu Tian

“…To address this issue, this paper proposes a sidelobe suppression method based on the CLEAN algorithm. First, the digital moving target detection (DMTD) algorithm is employed to estimate the target velocity, and the phase of the echo signal is dynamically adjusted to eliminate straddle loss. …”
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Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

“…Aiming at the problems of low accuracy of current field weed identification models and the difficulty of deploying multiple parameters in mobile devices and embedded devices with limited computing resources, a lightweight field weed identification model based on YOLOv8 is proposed in this paper. …”
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Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm by Xuyi Chen, Mingxi Ma, Chengkui Liu, Haifeng Xie, Shaoqi Wang

“…Then, in the solution process, to address the issues of the Whale Optimization Algorithm (WOA) easily falling into local optima and low convergence accuracy, the BIO-WOA (Bernoulli Chaotic mapping In-nonlinear Factors and Opposition-based Learning Improved Whale Optimization Algorithm, BIO-WOA) is proposed. …”
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Discovering the backbone network with a novel designed ant colony algorithm by Fang LYU, Jun BAI, Junheng HUANG, Bailing WANG

“…Forthe problem that in interactive network,the illegal and abnormal behaviors were becoming more hidden,moreover,the complex relation in real interactive network heightens the difficulty of detecting anomalous entities,an ant colony model was proposed for extracting the backbone network from the complex interactive network.The novel model simulated the relationships among entities based on the theory of path optimization,reduced the network size after quantifying the significance of each flow of information.Firstly,a strategy of initial location selection was proposed taking advantage of network centrality.Secondly,a novel path transfer mechanism was devised for the ant colony to fit the flow behavior of entities.Finally,an adaptive and dynamic pheromone update mechanism was designed for guiding the optimization of information flows.The experimental results show that the proposed model is superior to the traditional ant colony algorithm in both solving quality and solving performance,and has better coverage and accuracy than the greedy algorithm.…”
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Through-the-Wall SAR Auto-Focusing With Low Accuracy Positioning System by Adrian Focsa, Stefan-Adrian Toma, Mihai Coca, Andrei Anghel

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High-Resolution Vegetation Optical Depth Retrieved From Sentinel-1 C-Band SAR Data by Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Shuang Zhao, Zhi Huang

“…A high-resolution Sentinel-1 VOD time series, was developed based on the water cloud model (WCM) coupled with the TU-Wien (Vienna University of Technology, TU-Wien) change detection algorithm over Guangxi, China, during 2018–2020. …”
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An Improved UNet-Based Path Recognition Method in Low-Light Environments by Wei Zhong, Wanting Yang, Junhuan Zhu, Weidong Jia, Xiang Dong, Mingxiong Ou

“…These results significantly enhance path recognition accuracy in trellis orchards, particularly under low light under conditions. Compared to the FCN and SegNet algorithms, this method provides higher detection accuracy and offers a new theoretical foundation and research approach for path recognition in low-light environments.…”
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ICP Enhancement Algorithm for 6D Pose Tracking of Household Objects by Hyunho Hwang, Hyunsoo Shin, Ji-Hun Bae, Sungon Lee

“…While the performance was relatively limited for objects with low RGB texture, our algorithm achieved stable and high accuracy when sufficient RGB texture was present. …”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus by Masoud Garshasbi, Anahid Rais-Rohani, Mohammadreza Kabaranzadeh Ghadim

“…In the first approach, the algorithm is capable of detecting only one emotional word in a sentence, and then it improves to detect boosters and negating and stop word list as well. …”
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