Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…These findings are further corroborated by precision-recall error plots. The grid search for random forest algorithms achieved a score of 79% when optimally tuned; however, the training accuracy was 99%. …”
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Identification of dominant instability modes in power systems based on spatial‐temporal feature mining and TSOA optimization by Miao Yu, Jianqun Sun, Shuoshuo Tian, Shouzhi Zhang, Jingjing Wei, Yixiao Wu

“…Finally, the transit search optimization algorithm optimizes the global model parameters, further increasing the accuracy of the model. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…Secondly, we propose a multi-frame density peak search algorithm to obtain local feature information by combining the features associated with multiple contiguous frames of the target. …”
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PREDICTION OF VERTICAL IMPACTION OF LOWER WISDOM TOOTH ACCORDING ORTHOPANTOMOGRAPHY OF LOWER JAW by A.M. Hohol, A.I. Pankevych, I.A. Kolisnyk, D.S. Machulenko, Ya.A. Hohol

“…To substantiate the algorithm for predicting the vertical retention of third lower molar in order to improve treatment tactics for the preservation or removal of the tooth which based on the obtained search data and the results of our own clinical observations and it is planned in the future. …”
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GWO-RBFNN Dual-parameter Collaborative Intelligent Optimal Control of Chaotic Motion of a Class of Permanent Magnet Synchronous Motor by LI Ningzhou, QIU Sixuan, WEI Xiaojuan, LI Xiaoqi, LI Gaosong

“…Starting from the perspective that the controller can automatically search for the expected motion state, the distance between two points on the Poincaré cross section is selected as the controller input. …”
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A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection by Jiayi Li, Fan Zhang, Jianbin Ma

“…Experiments on eight high-dimensional datasets show that GPHC achieves significantly better classification performance compared to five feature ranking methods. Further comparisons between GPHC and other evolutionary algorithms demonstrate that GPHC has advantages in terms of classification performance, the number of features, and convergence speed.…”
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Multi-objective performance optimization of turbofan engine for test run by WEI Bofei, WANG Yuting, GUO Zexuan, LIU Feng, XI Feng, SI Shubin, CAI Zhiqiang

“…Then, the multi-objective performance optimization model based on tree augmented naive bayes is established and compared and verified with the current mainstream algorithm for verification. …”
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Key technologies and equipment for intelligent sensor network by optical media by Qiang GAO, Wenzhuo LI, Daiyong ZHOU

“…The integrated transceiver design, which uses high-performance processor to control the wavelength of optical signal, increases the communication speed of sensor network to 2 Mbit/s; the network search algorithm is used to plan the routing path, and the sensor nodes index the path according to the unique address, which realizes the collision-free interconnection between the sensors. …”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…Finally, a heuristic search strategy-based algorithm is designed to select features for epileptic EEG signals. …”
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Predicting patient deterioration with physiological data using AI: systematic review protocol by Chris Plummer, Edward Meinert, Victoria Riccalton, Lynsey Threlfall, Cen Cong

“…This systematic review aims to establish which AI or machine learning algorithm is best suited to analysing physiological data sets to predict patient deterioration in a hospital setting.Methods and analysis A systematic review will be conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) and the PICOS (Population, Intervention, Comparator, Outcome and Study) frameworks. …”
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Parametric Building Envelopes Rationalized in Terms of Their Solar Performance in a Temperate Climate by Jacek Abramczyk, Wiesław Bielak

“…The elaborated method’s algorithm was employed to describe the relationships between the envelope systems and the amount of the radiation falling on these systems, identified during the performed simulations. …”
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An Intelligent Distributed Channel Selection Framework with Hybrid Mode Selection for Interference Mitigation in D2D based 5G Networks by Abdullilah A. Alotaibi, Salman A. AlQahtani

“…Simulation results show that the proposed framework IDCSF enhances selecting the best channel, improves throughput and spectral utilization, and reduces average delay, interference and search time compared to other approaches.…”
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A Two-Stage Optimization Model for Airport Stand Allocation and Ground Support Vehicle Scheduling by Mengyun Yao, Minghua Hu, Jianan Yin, Jiaming Su, Mengxuan Yin

“…This combined optimization of stands and vehicle resources enhances the overall resource efficiency. The NSGA-II algorithm, combining local search strategies (LS-NSGA-II), is used to solve the model. …”
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A strategic approach to the placement of PV-integrated EV charging stations for enhancing the distribution network performance by Raj Chakraborty, Subhojit Dawn, Priyanath Das, Diptanu Das, Sadhan Gope, Md. Minarul Islam, Taha Selim Ustun

“…The issues have been framed as an optimization task and tackled by applying the symbiotic organisms search technique. The outcomes have been compared with Grey Wolf Optimizer, particle swarm optimization (PSO), and whale optimization algorithm (WOA) to validate the effectiveness of the optimal planning to allocate the EVCS and PV units. …”
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Quantifying extracellular vesicle heterogeneity: the effect of process conditions on protein cargo for skin therapy by Michelle Combe, Kathy Sharon Isaac, Jordan R. Plews, Stanislav Sokolenko

“…EVs in general were found to be highly variable, with mixed effects models only able to account for 25–60% of variance when considering factors such as EV source, medium, isolation method, LC-MS ionization, and protein search algorithm. Overall, MSC-derived EVs contained a greater fraction of proteins within pathways associated with wound healing and skin therapy (immune system, hemostasis, extracellular matrix organization, and cellular response to stress) as well as the most number of unique proteins when compared to all other analysed EVs. …”
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Ultrasonic online monitoring method of internal defects inmetal additive manufacturing by Linzhao Jiang, Jun Zhang, Jingli Yan, Hui Ding

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Increasing the Speed of Fractal Image Compression Using Two-Dimensional Approximating Transformations by Maydaniuk V. P., Arseniuk I. R., Lishchuk O. O.

“…Fractal image compression algorithm is known for allowing very high compression rates (the best examples – up to 1 000 times with acceptable visual quality) for real photos of natural objects, which is not possible for other lossy compression methods. …”
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New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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Fault diagnosis method for substations based on fault enumeration tree to generate fuzzy Petri net by WU Yulun, XIAO Tannan, CHEN Ying

“…The parallel hierarchical matrix inference algorithm improved the inference efficiency of the diagnostic model, providing significant practical value. …”
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IGWO-MALSTM: An Improved Grey Wolf-Optimized Hybrid LSTM with Multi-Head Attention for Financial Time Series Forecasting by Mingfu Zhu, Haoran Qi, Panke Qin

“…To address these issues, this paper proposes the IGWO-MALSTM model, a hybrid framework that integrates Improved Grey Wolf Optimization (IGWO) for hyperparameter tuning and a multi-head attention (MA) mechanism to enhance long-term sequence modeling within the long short-term memory (LSTM) architecture. The IGWO algorithm improves population diversity during initialization using the Mersenne Twister, thereby enhancing the convergence speed and search capability of the optimizer. …”
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