An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…In response to these problems, this paper presents a lightweight algorithm DA-DeepLabv3 + based on densely connected and attention mechanisms. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The data were then trained using the LightGBM model, and the prediction model was evaluated to demonstrate the reliability and accuracy of the adopted machine learning method. …”
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Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…This study evaluates different machine learning algorithms in detecting and identifying drones using radar data from a 60 GHz millimeter-wave sensor. …”
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A fixed normalized LMF (XE-NLMF) algorithm for single stage grid interfaced solar PVSystem by Subhranshu Sekhar Puhan, Renu Sharma

“…The performance of the proposed VSC-based controller is evaluated in a MATLAB simulation environment under various operating conditions, including changes in solar insolation levels, load unbalancing, grid weakness, and different load combinations (linear and nonlinear). …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…Subsequent research endeavours are anticipated to elucidate a mechanistic rationale for the RR method in conjunction with the RF and GB algorithms. Furthermore, the efficacy of this method will be evaluated through its application in deep machine learning algorithms.…”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…The performance of the proposed model is evaluated by conducting a wide range of experiments on uncorrelated narrowband data with different scenarios and based on the root mean square error (RMSE) coefficient. …”
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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

“…One-way ANOVA and Kruskal-Wallis tests were used to assess differences among clusters. Results A total of four clusters were obtained using the X-means algorithm. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…This process ensures that subsequent generations inherit superior genetic traits while minimizing constraint violations, thereby enhancing the feasibility of the solutions. To evaluate the effectiveness of the proposed algorithm, we tested it on three different IES scenarios. …”
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A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology by Mustafa N. Abbas, David Broneske, Gunter Saake

“…This allows us to evaluate how perturbations in protein interactions affect the algorithm’s performance compared to other approaches. …”
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A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

“…Moreover, we evaluate LIBWONN’s effectiveness using 24 benchmark functions from CEC2017 and CEC2022 and compare it with nine advanced metaheuristic algorithms. …”
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Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation by Jian Tang, Zikun Huang, Hongzhen Xu, Hao Zhang, Hailing Huang, Minqiong Tang, Pengsheng Luo, Dong Qin

“…We applied the SSSS algorithm to the Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach (RoBERTa) + conditional random field (CRF) and RoBERTa + Bidirectional Long Short-Term Memory (BiLSTM) + CRF models and evaluated our models (SSSS + RoBERTa + CRF; SSSS + RoBERTa + BiLSTM + CRF) on the China Conference on Knowledge Graph and Semantic Computing (CCKS) 2017 and 2019 datasets. …”
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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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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe

“…A perturbation mechanism along with a stagnation indicator based on a Covariance Matrix is incorporated into this algorithm. Three key innovations are introduced in the PCM-DE algorithm. …”
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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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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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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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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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