Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. …”
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Using permutation function and the Bank of LFSR's in pseudo random generator keys by Ali Khalil Salih

“…This algorithm consists of 16 Linear Feedback Shift Registers. …”
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The present situation and shifts observed in wetlands within the St. Lawrence Seaway region of Canada, utilizing imagery from the Landsat archive and the cloud-based platform Googl... by Meisam Amani, Mohammad Kakooei, Rebecca Warren, Sahel Mahdavi, Kevin Murnaghan, Arsalan Ghorbanian, Amin Naboureh

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Method for determining of statistical characteristics of evaluated distance obtained from measurements of Doppler frequency offsets by V. V. Legkostup

“…This paper presents a technique for obtaining of the main statistical characteristics of the distance estimation between the flying object and a hyperbolic navigation system using two Doppler frequency shifts of the navigation signal. This problem arises when the guidance of the object at a target point along a hyperbola using a bistatic hyperbolic navigation system is considered. …”
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Beamforming Technology of LEO Satellite in Satellite-Terrestrial Integrated Network by Zhiyong LUO, Ning XIN, Shaohui SUN

“…Because of the difference between satellite-ground link and ground propagation loss characteristics, the spectrum effi ciency index of satellite communication system is far lower than that of terrestrial cellular system in the same period.It is of utility to improve spectral effi ciency by realizing effi cient space division multiplexing with multi-beam antennas.The adaptive beamforming and doppler frequency off set compensation scheme in the LEO multi-beam satellite communication scenario was studied.Firstly, a low-complexity hybrid beamforming scheme was designed.Then, aim at the doppler frequency shifts were diff erent between beams due to their pitch angles, a doppler frequency off set pre-compensation scheme for multi-beam systems was proposed.Finally, the eff ectiveness of the algorithm was verifi ed by MATLAB simulation analysis.…”
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Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

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An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism by Aixing Li, Zhou Fang, Bo Mi

“…Defogging algorithms based on dark channel prior have color shift in light color areas because of inaccurate estimation of transmittance. …”
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Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

“…Combined with an improved Temporal Shift Module (TSM) algorithm for behavior recognition, which effectively resolves issues concerning target association and action ambiguity in complex environments, the proposed framework achieves a Top-1 accuracy of 82.1%, based on the SCA dataset. …”
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Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System by Ch. Amarendra, A. Pandian, Ch. Rami Reddy, Ch. Naga Sai Kalyan, Mohit Bajaj, Kareem M. AboRas, Daniel Eutyche Mbadjoun Wapet

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Research on the Wetland Vegetation Classification Method Based on Cross-Satellite Hyperspectral Images by Min Yang, Jing Qin, Xiaodan Wang, Yanfeng Gu

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Data-Driven Cooperative Localization Algorithm for Deep-Sea Landing Vehicles Under Track Slippage by Zhenzhuo Wei, Wei Guo, Yanjun Lan, Ben Liu, Yu Sun, Sen Gao

“…The accuracy of the cooperative localization system could be further degraded by the persistent rubber track slippage during the vehicle’s movement over the soft seabed. In this study, a data-driven cooperative localization algorithm with a velocity prediction model is proposed to improve the positioning accuracy of DSLV under track slippage. …”
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Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern? by Eric Balki

“…This paper examines the evolution of these apps, highlighting their shift from facilitating offline encounters to promoting match accumulation for revenue. …”
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A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient by Keli HU, En FAN, Jun YE, Shigen SHEN, Yuzhang GU

“…The weight of the truth,indeterminacy,and falsity membership under the neutrosophic framework may be different when dealing with different problems.Due to this,a component weighted cosine similarity coefficient was proposed,and it was introduced into the mean shift tracking algorithm.Firstly,the corresponding methods for calculating the membership of the truth,indeterminacy,and falsity were proposed based on the theory of 3σ,as well as the similarity between the features of the corresponding area of the object and background.Then the weighted cosine similarity coefficient was used to construct the weight vector.In addition,a weighted cosine similarity coefficient based scale updating method was proposed.The experimental results demonstrate that the modified visual tracking algorithm performs well,even when there exists challenges like similar background,illumination or scale variation.…”
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Homotopy Extension and Selfscaling Metric Image Reconstruction Algorithm for Electrical Capacitance Tomography System by CHEN Yu, ZHANG Jiangtao, XIA Zongji

“…In order to solve the “soft field” and uncertainty problems in electrical capacitance tomography, a homotopy extension regularization and selfscaling metric image reconstruction algorithm for electrical capacitance tomography is presentedOn the basis of ECT theory, the algorithm combines homotopy continuation with regularization method, and derives the corresponding correction formula combined with selftuning ratio Finally, the mathematical model of inverse problem of ECT Image reconstruction is derived.The algorithm is used in digital simulation experiment to verify its effectiveness The simulation results are compared with the classical Landweber algorithm, SD algorithm and other imaging algorithms The results show that the algorithm has the advantages of high image quality, fast convergence speed and less iteration times in ECT Image reconstruction It is an effective algorithm to solve ECT imaging problems…”
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A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization. by Xuxu Zhong, Meijun Duan, Xiao Zhang, Peng Cheng

“…In addition, DEGH is compared with eight state-of-the-art DE algorithms on 32 benchmark functions. Experimental results show that the proposed DEGH algorithm is significantly superior to the compared algorithms.…”
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Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model by Lv Deguo

“…In order to make better use of the spatial information and spectral information to improve the classification accuracy of hyperspectral remote sensing images, this article proposes an improved classification algorithm, a-HybridSN, based on the HybridSN (hybrid spectral network) model. …”
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Improved stiff string torque and drag prediction using a computationally efficient contact algorithm by Sampath Liyanarachchi, Geoff Rideout

“…However, the accuracy of these ‘soft-string’ models is restricted, especially at high dogleg severities. …”
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Three-Dimensional and Multiple Image Encryption Algorithm Using a Fractional-Order Chaotic System by Ghader Ghasemi, Reza Parvaz, Yavar Khedmati Yengejeh

“…In this work, an encryption algorithm for multiple images is introduced. In the first step of the proposed algorithm, a key generation algorithm based on a chaotic system and wavelet transform is introduced, and in the next step, the encryption algorithm is developed by introducing rearrange and shift functions based on a chaotic system. …”
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High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…Firstly, dynamic snake convolution was incorporated to make the algorithm detect objects with different scales and directions better; Secondly, in order to enable the algorithm to capture the global context information in the image with complex background, inverted residual mobile block was combined with Shift-Wise convolution . …”
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Predictive modeling of adolescent suicidal behavior using machine learning: Key features and algorithmic insights by Priya Metri, Swetta Kukreja

“…Among these, Random Forest and SVM emerged as the most commonly used algorithms, featured in 35 % and 27 % of studies respectively. …”
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