Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…According to the results of orthogonal test, the sensitivity of each dominant factor to the mechanical properties of specimens with precast crack is carefully evaluated. The research findings would lay a crucial theoretical foundation for deformation control and stability analysis in engineering practice associated with stratified rock mass and provide reference for the application of 3D printing technology and FDEM algorithm to rock mechanics.…”
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Optimal Mobile Robot Navigation in Unknown Environments using Different Optimization Techniques by Sarah H. Abdulridha, Dheyaa J. Kadhim

“…In this work, firstly SLAM technique was considered based on extended Kalman filter (EKF) which it was implemented and evaluated at unknown environments with different number of landmarks to estimate mobile robot’s position and build a map for navigated environment at the same time. …”
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Association between Two Cardiovascular Health Algorithms and Kidney Stones: A Nationwide Cross-sectional Study by Shan Yin, Zhenzhen Yang, Pingyu Zhu, Xuesong Yang, Xiaodong Yu, Tielong Tang, Yan Borné

“…Conclusions and clinical implications: Both CVH algorithms show a significant nonlinear negative correlation with kidney stone prevalence. …”
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MATHEMATICAL MODELING OF EPILEPTOGENESIS PROCESS IN DIFFERENT AGE GROUPS Kalinin V. A. by V. A. Kalinin, I. A. Poverennova, E. M. Beketova, M. A. Gromakovskaya

“…A study  of  evoked  potentials  to  evaluate the  stability of neurodynamic  system in terms  of the risk of an epileptic seizure.  …”
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Improved MobileVit deep learning algorithm based on thermal images to identify the water state in cotton by Kaijun Jin, Jihong Zhang, Ningning Liu, Miao Li, Zhanli Ma, Zhenhua Wang, Jinzhu Zhang, Feihu Yin

“…Ablation studies were performed to evaluate the effect of each modification. Grad-CAM was utilized to illustrate the final layer features of the proposed algorithm. …”
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DMRIntTk: Integrating different DMR sets based on density peak clustering. by Wenjin Zhang, Wenlong Jie, Wanxin Cui, Guihua Duan, You Zou, Xiaoqing Peng

“…<h4>Results</h4>Here, we develop DMRIntTk, a toolkit for integrating DMR sets predicted by different methods on a same dataset. In DMRIntTk, the genome is segmented into bins, and the reliability of each DMR set at different methylation thresholds is evaluated. …”
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Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Finally, we aggregate these enhanced features and map them to the quality difference. Due to the lack of dataset for the objective evaluation task, we collect 129 pairs of source images from public datasets, namely, the Whole Brain Atlas, and construct a MMIF quality database containing 1,290 medical fused images generated using MMIF algorithms. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…Besides it has a decreasing trend, from spring to winter which is minimized in winter. From the evaluation of the CHIAD tree and the Support Vector Machine model, the Support Vector Machine model with a slight difference in utility indices of accuracy = 0.773, precision = 0.855, harmonic mean = 0.813, root mean square error = 0.475. …”
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Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences by Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng

“…Secondly, the genetic algorithms were used to optimize fitness functions to obtain measured IDBCPs. …”
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Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study by Doris Yang, Doudou Zhou, Steven Cai, Ziming Gan, Michael Pencina, Paul Avillach, Tianxi Cai, Chuan Hong

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Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm by Yui Shimamura, Chie Tachiki, Kaisei Takahashi, Satoru Matsunaga, Takashi Takaki, Masafumi Hagiwara, Yasushi Nishii

“…This study evaluates the estimation accuracy by the algorithm trained on a dataset of 2320 patients with added malocclusion patients and the analysis values. …”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…The study examined the effects of clustering algorithms and distance metrics on climate data analysis from meteorological stations in the Kurdistan Region of Iraq (2020&ndash;2022). 8-attribute dataset with 1,095 cases was clustered using Random, K-means++, Canopy, and Farthest First methods, evaluated with Euclidean and Manhattan distance metrics via the WEKA tools, which is a versatile and accessible open-source tool for machine learning and data mining. …”
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms by Chunxia Huang, Qiong Ma, Xiao Zeng, Jiawei He, Fengming You, Xi Fu, Yifeng Ren

“…Furthermore, the Bayesian optimization algorithm was used to optimize this best-performing model. …”
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Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point by Esa Apriaskar, Dhidik Prastiyanto, Aryo Baskoro Utomo, Akhyar Abdillah Manaf, Ilya Amelia, Dimas Alfarizky Ilham, Viyola Lokahita Bilqis, Chonlatee Photong

“…This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. …”
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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…The results indicate that while the performance difference in frames per second (fps) between the two algorithms is negligible for simulations with a small number of nodes, the VBD algorithm consistently outperforms the PBD algorithm as the node count increases. …”
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Impact of a multi-step testing algorithm on hospital-onset Clostridioides difficile rates and clinical outcomes by Matthew A. Moffa, Dustin R. Carr, Nathan R. Shively, Adriana Betancourth, Nitin Bhanot, Zaw Min, Charmaine Abalos, Arshpal Gill, Salman Bangash, Thomas L. Walsh

“… Abstract Objective: To evaluate the impact of implementing a multi-step Clostridioides difficile infection (CDI) testing algorithm on hospital-onset (HO)-CDI rates and clinical outcomes. …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…Comparative evaluations on benchmark test functions demonstrate that the improved algorithm (CDMOS) outperforms the original DMO in optimization performance, convergence precision, and overall stability, achieving an average improvement of 53.5% in convergence accuracy and 35.1% in solution stability across 29 benchmark functions. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Following that, we implemented Neural Network and Particle Swarm Optimization algorithms. We used precision, accuracy score, recall, and F-Measure tests to evaluate the Neural Network with Particle Swarm Optimization algorithms. …”
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Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys by Mathew Wyatt, Sharyn Hickey, Ben Radford, Manuel Gonzalez-Rivero, Nader Boutros, Nikolaus Callow, Nicole Ryan, Arjun Chennu, Mohammed Bennamoun, James Gilmour

“…For this reason, we benchmark the latest state-of-the-art OOD (Out Of Distribution) detection algorithms on publicly available coral reef image datasets, and evaluate histogram intersection of outlier scores as an indicator for human intervention. 2. …”
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