A fast hyperspectral change detection algorithm for agricultural crops based on spatial reconstruction. by Jianghong Yuan, Er-Yang Chen, Haiyin Qing

“…Experimental results demonstrate that FHCDSR achieves superior performance on both datasets, with AUC values of 90.20% (Hermiston) and 95.39% (Yancheng), outperforming six state-of-the-art comparison methods by 3.39-14.78% in detection accuracy. Remarkably, the algorithm maintains high computational efficiency, completing analyses in 9.76 seconds (Hermiston) and 10.90 seconds (Yancheng), representing up to 94.05% reduction in processing time compared to conventional methods. …”
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Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

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An Improved Interpolation Algorithm for Surface Meteorological Observations via Fuzzy Adaptive Optimisation Fusion by Xiaoya Jiang, Xiong Xiong, Wenlan Wang, Xiaoling Ye, Xin Chen, Yihu Wang, Fangjian Zhang

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Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Second, the study also selects orthogonal frequency division multiplexing to improve the least mean square filtering algorithm in order to improve the accuracy of prediction. …”
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INDIVIDUAL PROGNOSTIC ALGORITHM FOR ESTIMATING THE RISK OF ESOPHAGEAL CANCER PROGRESSION AFTER SURGICAL TREATMENT by O. I. Kit, E. Yu. Zlatnik, A. L. Bazaev, A. A. Demidova, I. A. Novikova

“…The development of laboratory criteria for predicting esophageal cancer (EC) prognosis is of great importance due to the need to achieve personalized approach to cancer treatment. …”
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Modelling Soil Water Retention Using Support Vector Machines with Genetic Algorithm Optimisation by Krzysztof Lamorski, Cezary Sławiński, Felix Moreno, Gyöngyi Barna, Wojciech Skierucha, José L. Arrue

“…For the purpose of models’ parameters search, genetic algorithms were used as an optimisation framework. A new form of the aim function used for models parameters search is proposed which allowed for development of models with better prediction capabilities. …”
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UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network by Chaochuan Jia, Can Tao, Ting Yang, Maosheng Fu, Xiancun Zhou, Zhendong Huang

“…To overcome this challenge, this paper proposes a novel hybrid algorithm, termed ARO-BP, which integrates the Artificial Rabbit Optimization (ARO) algorithm with a BPNN. …”
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The Algorithm for Recognizing Superposition of Wave Aberrations from Focal Pattern Based on Partial Sums by Sergey G. Volotovsky, Pavel A. Khorin, Aleksey P. Dzyuba, Svetlana N. Khonina

“…Due to the peculiarities of the focal pattern, some types of the considered superpositions are recognized ambiguously from the intensity pattern in the focal plane by standard error-reduction algorithms. It is numerically shown that when recognizing superpositions of Zernike functions from the intensity pattern in the focal plane, the use of step-by-step optimization in combination with the Levenberg–Marquardt algorithm yields good results only with an initial approximation close to the solution. …”
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The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm by Liyi Zhang, Ying Wang, Teng Fei, Hongwei Ren

“…As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. …”
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Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy by Shermuradova Malika, Gadoeva Mavlyuda, Rahmatov Shukhrat, Abdullaev Uktamjon, Aralov Dilshod

“…This article explores the design and application of intelligent control systems tailored for industrial and production environments, with a particular focus on integrating advanced digital filtering and noise reduction strategies. Traditional adaptive control systems often struggle to maintain flexibility and responsiveness in uncertain and dynamic conditions. …”
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Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines by Reza Bohlouli, Babak Rostami, Jafar Keighobadi

“…In the final step, all the feature vectors are classified through a backpropagation-based ANN algorithm. The obtained results show that the proposed algorithms are highly reliable and also precise for NDT monitoring.…”
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A lightweight algorithm for steel surface defect detection using improved YOLOv8 by Shuangbao Ma, Xin Zhao, Li Wan, Yapeng Zhang, Hongliang Gao

“…The experimental results indicate that these enhancements have led to a reduction of 37% in calculation amount for the improved YOLOv8n algorithm, a decrease of 32% in parameter count, and an increase in average detection accuracy ( mAP ) by 1.2%. …”
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Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s by Yuanbin WANG, Sixiong WEI, Huaying WU, Yu DUAN, Meng LIU

“…Aiming at the problems of low accuracy and high missed detection rate of personnel safety helmet detection algorithm caused by complex environment under mine, an improved mine safety helmet detection algorithm based on YOLOv5s is proposed. …”
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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…Although this method has been customized in recent years with the help of optimization algorithms to achieve better results, the use of more powerful optimization algorithms can be effective in achieving better results in software size estimation. …”
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Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

“…Hence, this study proposes a fuzzy context-aware neural recommendation algorithm (F-CANRA) to analyze consumers’ purchase behaviors regarding cultural and creative products (CCPs). …”
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Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm by Jelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, Efosa Uwoghiren, Titilope Dokunmu, Solomon Rotimi, Oluwadurotimi Aworunse, Olawole Obembe, Ezekiel Adebiyi

“…Heuristic function was introduced for the optimal performance of the algorithm. To validate the prediction, the essentiality of the reactions in the reconstructed network was evaluated using betweenness centrality measure, which was applied to every reaction within the pathways considered in this study. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. With the rapid development of AI technology, it has demonstrated great potential in government decision support, public service optimization, and policy impact prediction, but it has also sparked extensive debate on issues such as algorithmic bias, privacy invasion, and fairness. …”
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Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

“…A dynamic-heuristic A* algorithm is proposed, incorporating traffic signals and congestion penalties, and is enhanced by a DQN-based local decision module to improve adaptability to dynamic environments. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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AOF: An adaptive algorithm for enhancing RPL objective function in smart agricultural IoT networks by Abubakar Wakili, Sara Bakkali

“…This paper presents the Adaptive Objective Function (AOF), an innovative algorithm designed to dynamically adjust the OF in real-time, responding to fluctuating network conditions and application requirements. …”
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