A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks by Jianjun Cheng, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen

“…The centrality plays an important role in many community-detection algorithms, which depend on various kinds of centralities to identify seed vertices of communities first and then expand each of communities based on the seeds to get the resulting community structure. …”
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A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties by Roosvel Soto-Diaz, Mauricio Vásquez-Carbonell, Jose Escorcia-Gutierrez

“…Hybrid models combining AI with optimization algorithms, such as particle swarm optimization (PSO) and genetic algorithms, were particularly effective. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…The results showed that the optimization algorithm itself had minimal impact on the accuracy and generalization of the GBDT model. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…This novel application of deep learning algorithms to the incident reporting system can efficiently improve aviation safety.…”
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A Generic Approach towards Amharic Sign Language Recognition by Netsanet Yigzaw, Million Meshesha, Chala Diriba

“…The dataset used to train the algorithms was gathered in video format from Addis Ababa University. …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the empirical Bayesian geometric mean (EBGM) algorithms, were employed to quantify the signals of cetuximab-associated AEs. …”
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Design and Development of a Wayside AI‐Assisted Vision System for Online Train Wheel Inspection by Muhammad Zakir Shaikh, Sanaullah Mehran, Enrique Nava Baro, Agata Manolova, Mohammad Aslam Uqaili, Tanweer Hussain, Bhawani Shankar Chowdhry

“…Later, a comprehensive comparative analysis was conducted on several object detection algorithms for wheel segmentation task. Different algorithms are evaluated using COCO evaluation metrics, and the best‐performing model, YOLOv9, achieves a mAP50 of 0.94 and a recall of 0.91. …”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…We transformed it into two sub-optimization problems and approximated the optimal solution through an alternating iteration algorithm. Finally, the proposed height measurement algorithm is compared with the Generalized Multiple Signal Classification (GMUSIC) and Maximum Likelihood (ML) height measurement algorithms. …”
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Canadian Public Health Laboratory Network laboratory Guidelines for the Use of Serological Tests (excluding point-of-care tests) for the Diagnosis of Syphilis in Canada by Paul N Levett, Kevin Fonseca, Raymond SW Tsang, Kamran Kadkhoda, Bouchra Serhir, Sandra M Radons, Muhammad Morshed

“…Both traditional and reverse sequence algorithms are recommended and the algorithm used should be based on a combination of local disease epidemiology, test volumes, performance of the proposed assays and available resources.…”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Finally, the Gaussian Mixture Model assisted by MIPBO accurately separates various traffic elements in the accident scenes, demonstrating higher effectiveness compared to other classical clustering algorithms.…”
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Content of Investigative Situations of the Initial Stage of Investigating Coercion to Fulfill or Non-Fulfillment of Civil Obligations Committed by Organized Criminal Groups by E. V. Zozulya

“…The bases for choosing and realizing actions at the initial stage of investigation have been analyzed; investigative situations and algorithms of the corresponding actions have been specified. …”
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Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…The average values of evaluation indicators PPA, MMPA and MMIoU of the image segmentation results of the proposed algorithm reach 0.96, 0.96 and 0.95 respectively, and the average time lag of detection is less than 0.2s, indicating that the accuracy and real-time performance of the segmentation results of the proposed algorithm are significantly better than those of the above algorithms.…”
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DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

“…Empirical results on real-world networks show that the proposed algorithm can achieve higher accuracy prediction results in dynamic networks in comparison to other algorithms.…”
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Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network by Hongqi Li, Peisi Zhong, Li Liu, Xiao Wang, Mei Liu, Jie Yuan

“…This algorithm, termed LPDDQN, integrates Prioritized Experience Replay (PER) and the Long Short Term Memory (LSTM) network to improve upon the DDQN algorithm. …”
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Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories by John T. Delaney, M. Van Appledorn, N. R. De Jager, K. L. Bouska, J. J. Rohweder

“…We used an ensemble of species distribution models including Bayesian additive regression trees, boosted trees, and random forest algorithms to predict habitat suitability for reed canarygrass in forest understories across the Upper Mississippi River floodplain (~41,000 ha). …”
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LEACH-D: A low-energy, low-delay data transmission method for industrial internet of things wireless sensors by Desheng Liu, Chen Liang, Hongwei Mo, Xiaowei Chen, Dequan Kong, Peng Chen

“…The LEACH-D algorithm improves the transmission task duration while maintaining consistent battery energy consumption. …”
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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

“…In order to distinguish data from those of psoriasis patients and those of healthy individuals, six different machine learning algorithms were used on the breath data set. The best classification result was provided by the ExtraTreesClassifier algorithm, with an accuracy rate of 96.1%, while other algorithms have rates between 66.6% and 94.2%. …”
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The chromatic sum of a graph: history and recent developments by Ewa Kubicka

“…The focus is on polynomial algorithms for some families of graphs and NP-completeness issues.…”
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Viscosity Approximation Methods with Errors and Strong Convergence Theorems for a Common Point of Pseudocontractive and Monotone Mappings: Solutions of Variational Inequality Probl... by Yan Tang

“…We introduce two proximal iterative algorithms with errors which converge strongly to the common solution of certain variational inequality problems for a finite family of pseudocontractive mappings and a finite family of monotone mappings. …”
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On Solutions to Fractional Iterative Differential Equations with Caputo Derivative by Alemnew Abera, Benyam Mebrate

“…The convergence of the iterative scheme is proved, and different iterative schemes are compared with the proposed iterative scheme. We prepared algorithms to implement the proposed iterative scheme. …”
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