Evaluation Method for Remaining Life of XLPE Insulated Power Cable by MA Hanchao, GAO Baoqi, LI Xiangyang, WU Suzhou, ZHANG Xiaojun

“…Aiming at the problem of low accuracy of the evaluation results due to errors in the calculation of the weight value of the evaluation factors in the evaluation of the remaining life of the cable, the remaining life evaluation method of the cross-linked polyethylene insulated power cable under the particle swarm algorithm is studied. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

“…These problems are solved in this paper by introducing a novel normalized square difference (NSD) based multilevel thresholding technique using a leader slime mould algorithm (LSMA). …”
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Cloud Removal Algorithm by Combining MODIS and VIIRS Snow Products by Xiaoyan Wang, Shi Liang, Yanlong Shen, Hui Guo, Zhiqi Ouyang

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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments by Wenqiang Wu, Chuixin Kong, Zhongmin Xiao, Qianping Huang, Mingfeng Yu, Zhiye Ren

“…This paper introduces a multi-indicator heuristic evaluation-based rapidly exploring random tree (MIHE-RRT) algorithm to address the key challenges of robot path planning in complex environments. …”
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A lightweight deep learning method to identify different types of cervical cancer by Md. Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, Md. Ashraful Alam, M. F. Mridha, Zeyar Aung

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Drug-Induced Autoimmune Hepatitis: Robust Causality Assessment Using Two Different Validated and Scoring Diagnostic Algorithms by Rolf Teschke, Axel Eickhoff, Gaby Danan

“…This disorder consists of two parts, i.e., the iDILI part and the autoimmune (AIH) part, whereby each part needs a specific diagnostic algorithm. The validated and scoring Roussel Uclaf Causality Assessment (RUCAM) is privileged for assessing the iDILI part, and the validated, simplified AIH score is the perfect choice for evaluating the AIH part. …”
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Identifying feature genes of chickens with different feather pecking tendencies based on three machine learning algorithms and WGCNA by Jiying Wen, Shenglin Yang, Jinjin Zhu, Ai Liu, Qisong Tan, Yifu Rao

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Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm by Xuping Gu, Xianjun Shi

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Structural optimization of different truss designs using two archive multi objective crystal structure optimization algorithm by Pranav Mehta, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…This work proposes the multi-objective crystal structure optimizer (MOCRY), a potent and effective optimizer, to address this problem. The MOCRY algorithm, also known as MOCRY2arc, is built on a two-archive idea centered on diversity and convergence, respectively. …”
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Prediction of barite scale formation and inhibition in hydrocarbon reservoirs using AI modeling: Focus on different optimization algorithms by Ouafa Belkacem, Ahmed Rezrazi, Kamel Aizi, Lokmane Abdelouahed, Maamar Laidi, Abdelhafid Touil, Leila Cherifi, Salah Hanini

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Combining and congruence evaluation of phylogenetic signals from different genes based on geometric approach by V. M. Efimov, V. Yu. Kovaleva, Yu. N. Litvinov

“…A new Euclidean distance based algorithm is used for analysis of congruence and combining molecular genetic data. …”
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Performance evaluation of different building envelopes integrated with phase change materials in tropical climates by Rolains Golchimard Elenga, Li Zhu, Steivan Defilla

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Image quality evaluation for two different positron emitters in a preclinical PET scanner by Rodrigo Modesto Gadelha, Andréa Vidal Ferreira, Guilherme Albuquerque Cavalcante Souza, Juliana Batista Silva, Marcelo Mamede

“…Thus, the aim of this study is to evaluate the image quality performance of the PET scanner (LabPET 4, GE) at CDTN/CNEN using the NEMA NU 4-2008 standards and specific phantom for these two different positron emitters. …”
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Evaluation of the Effectiveness of the UNet Model with Different Backbones in the Semantic Segmentation of Tomato Leaves and Fruits by Juan Pablo Guerra Ibarra, Francisco Javier Cuevas de la Rosa, Julieta Raquel Hernandez Vidales

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Solving Integer Ambiguity Based on an Improved Ant Lion Algorithm by Wuzheng Guo, Yuanfa Ji, Xiyan Sun, Xizi Jia

“…In GNSS, a double-difference carrier phase observation model is typically employed, and high-accuracy position coordinates can be obtained by resolving the integer ambiguity within the model through algorithmic processing. …”
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A Validity Index for Clustering Evaluation by Grid Structures by Jiachen Wang, Zuojing Zhang, Shihong Yue

“…Most existing indexes are designed for the evaluation of results from the most-used K-means clustering algorithm; it can identify only spherical clusters rather than arbitrary clusters. …”
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Evaluation of the elastic modulus of pavement layers using different types of neural networks models by M. M.M. Elshamy, A. N. Tiraturyan, E. V. Uglova

“…The results of the best four models were compared to each other and to the actual data obtained to determine the best method.Discussion and Conclusions. The differences between the results of the four best models for the four types of algorithms used were very small, as they showed the closeness between them and the actual values. …”
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Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures by Adel Alhowyan, Wael A. Mahdi, Ahmad J. Obaidullah

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Machine vision and learning for evaluating different rancidity grades of Prunus mandshurica (Maxim.) Koehne by Yashun Wang, Huirong Chen, Jianting Gong, Yang Cui, Huiqin Zou, Yonghong Yan

“…Objective: To explore a rapid and accurate method for evaluating the quality of Prunus mandshurica (Maxim.) …”
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UPBD: Construction and Evaluation Methods of the Underwater Polarization Benchmark Dataset for Complex Scenarios by Haihong Jin, Shangle Yao, Hao Yao, Wenjie Zhang, Zhiguo Fan

“…UPBD implements rigorous acquisition protocols to ensure evaluation consistency. To demonstrate the effectiveness of our multidimensional evaluation approach, we tested six representative restoration algorithms spanning different methodologies: image enhancement algorithm, imaging model-based algorithm, three underwater polarization imaging algorithms, and a deep learning algorithm. …”
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