Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
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Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis by Helong Yu, Kang Yuan, Wenshu Li, Nannan Zhao, Weibin Chen, Changcheng Huang, Huiling Chen, Mingjing Wang

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Possibilities of non-operative and minimally invasive organ-preserving spleen injuries management in blunt abdominal injuries in adults by Y. V. Gavrishuk, V. A. Manukovskiy, A. N. Tulupov, A. E. Demko, E. A. Kolchanov, V. E. Savello, D. V. Kandyba, I. V. Kazhanov, S. A. Platonov, A. S. Kazankin

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Internet of Things-Based Smart Infant-Incubators Using Machine Learning Analysis by Mahmoud Gamal, Ibrahim Radi, Amr Yousef, and Ali Gaber Mohamed Ali

“…Many international manufacturers of infant incubators use IoT technology, presenting tough competition for local manufacturers. This research examines methods to fulfill parents’ need to monitor their babies directly when they are lying inside an incubator. …”
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Optimization of Transformation Coefficients Using Direct Search and Swarm Intelligence by Manusov V.Z., Matrenin P.V., Orlov D.V.

“…Such algorithms include Swarm Intelligence algorithms. Their main features are self-organization, which allows them to automatically adapt to conditions of tasks, and the ability to efficiently exit from local extremes. …”
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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…The application of value decomposition algorithms for UAV trajectory planning has drawn considerable research attention. …”
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Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

“…Therefore, the proposed model is both reasonable and applicable. The research results are of great significance to effectively deal with railway emergencies.…”
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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

“…The ANN was trained using a backpropagation algorithm based on Bayesian regularisation, and the algorithm was tested using four sets of training and test data at ratios of 66.67:33.33, 75:25, 80:20, and 90:10. …”
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Raynaud’s phenomenon in the rheumatologist’s practice by R.T. Alekperov

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Remarks on the Relationship Between Fractal Dimensions and Convergence Speed by Jiaqi Qiu, Yongshun Liang

“…These findings have immediate and far-reaching implications for various applications that demand precise control over convergence properties, such as numerical algorithm design and signal processing. Notably, the identification of dimension-based convergence criteria provides practical and effective tools for the analysis of sequence behavior in both pure mathematical research and applied fields.…”
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HALF: Histogram of Angles in Linked Features for 3D Point Cloud Data Segmentation of Plants for Robust Sensing by Hidenori Takauji, Naofumi Wada, Shun’ichi Kaneko, Takanari Tanabata

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Mitigating distribution transformer loss of life through combined integration of rooftop solar photovoltaic installations and electric vehicle charging by Sunil Gaikwad, Hrishikesh Mehta

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Hummingbird-Inspired Modified Particle Swarm Optimization for Efficient Task Scheduling in Cloud Computing by Longyang Du, Qingxuan Wang

“…Effective task scheduling remains a critical challenge due to dynamic and heterogeneous workloads, directly influencing energy efficiency, response time, and resource utilization. The present research presents an enhanced Particle Swarm Optimization (PSO) algorithm inspired by specific hummingbird flight characteristics, chosen for their exceptional agility and efficiency. …”
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Concrete Creep Prediction Based on Improved Machine Learning and Game Theory: Modeling and Analysis Methods by Wenchao Li, Houmin Li, Cai Liu, Kai Min

“…Therefore, in this study, three machine learning (ML) models, a Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting Machine (XGBoost), are constructed, and the Hybrid Snake Optimization Algorithm (HSOA) is proposed, which can reduce the risk of the ML model falling into the local optimum while improving its prediction performance. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The PSD-based ant colony algorithm is proposed and described in detail to generate several locally optimal paths. …”
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Comparative effect of traditional and collaborative watershed management approaches on flood components by Ali Nasiri Khiavi, Mehdi Vafakhah, Seyed Hamidreza Sadeghi, Changhyun Jun, Sayed M. Bateni

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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…This deep-layered structure not only determines the flow direction but also enriches population diversity to avoid local optima. In the experimental section, we compare DWFO with nine state-of-the-art algorithms on the IEEE Congress on Evolutionary Computation 2017 (CEC2017) benchmark functions and the CEC2011 real-world optimization problems. …”
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Malignant melanoma of the conjunctiva metastatic to the parotid gland: a case report by Marta Rogalska, Pawel Scierski, Marta Gamrot-Wrzol, Maciej Misiolek, Wojciech Scierski

“…The high potential for regional and distant metastasis in individuals with conjunctival malignant melanoma underscores the significance of ongoing research to enhance the understanding of its biological behavior and develop a standardized algorithm for its management and surveillance.…”
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SOFT TISSUE RECONSTRUCTION IN PATIENTS WITH SEVERE OPEN TIBIA FRACTURES by E. Y. Shibaev, P. A. Ivanov, A. P. Vlasov, D. A. Kisel, M. P. Lasarev, A. V. Nevedrov, L. L. Tsoglin

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Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data by Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao

“…To investigate deep Earth information, researchers often utilize geomagnetic observatories and satellite data to obtain the conversion function of geomagnetic sounding, C-response data, and employ traditional inversion techniques to reconstruct subsurface structures. …”
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