Interdisciplinary care for newborns with cleft lip and palate in a children's multidisciplinary hospital by A. A. Mamedov, Yu. O. Volkov, A. A. Korsunsky, S. A. Parshikova, L. A. Mazurina, L. M. Makarova, Yu. V. Zirkova, G. P. Tukabaev, G. Ma, H. Guo, N. V. Gorlova

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Leveraging the Power of Hybrid and Standalone Machine Learning for Enhanced FRP-Confined Concrete Columns Strength Prediction by Mehdi Ghasri, Mohammad Ghasemi, Abdolhamid Salarnia

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Hybrid procurement model for the construction of library literature and information resource procurement by Chuanyu Zhang, Changsheng Wang

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Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

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The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms by Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev

“…Utili-zing advanced CA-Markov and Random Forest machine learning algorithms, it meticulously analyzes historical data to understand past trends and projects future LULC changes. …”
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La reconstruction du panorama de la « Tapisserie de Bayeux » comme fond de référence d’un système d’information documentaire spatialisée by Clémentine Berthelot, Katia Zidane, Abderrahim El Moataz, Régis Clouard, Arnaud Daret, Antoine Verney, Cécile Binet

“…This means a total image of 480,000 x 6,000 pixels, making existing algorithms obsolete. In direct contact with the University teams involved, the GREYC has developed an approach based on matching up the SIFT interest points and a fusion algorithm based on a model of elastic geometrical deformation, in order to respect the structure of the tapestry. …”
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Intelligent Flight Procedure Design: A Reinforcement Learning Approach with Pareto-Based Multi-Objective Optimization by Yunyang Huang, Yanxin Zhang, Yandong Zhu, Zhuo Zhang, Longtao Zhu, Hongyu Yang, Yulong Ji

“…To further enhance performance by tackling the low sampling efficiency in the replay buffer, we introduce a multi-objective sampling strategy based on the Pareto frontier, integrated with the soft actor–critic (SAC) algorithm. Experimental results demonstrate that the proposed method generates executable flight procedures in the BlueSky open-source flight simulator, successfully balancing these three conflicting objectives, while achieving a 28.6% increase in convergence speed and a 4% improvement in comprehensive performance across safety, route simplification, and environmental impact compared to the baseline algorithm. …”
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Data augmented offline deep reinforcement learning for stochastic dynamic power dispatch by Wencong Xiao, Tao Yu, Zhiwei Chen, Zhenning Pan, Yufeng Wu, Qianjin Liu

“…Second, a conservative offline soft actor-critic (COSAC) algorithm is developed to learn dispatch policies directly from this hybrid offline dataset, eliminating the need for online interaction. …”
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Application of K-means supported by clustered systems in big data association rule mining by Lihua Liu

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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

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Cloud-based Optimized Intelligent Substation Secondary System Rapid Test Model and System Design by Rongrong JI, Mengzhi WANG, Guowei ZHOU, Qingyao LIU, Hai LI, Ruofan HUANG

“…The test sequence is optimized based on the improved whale optimization algorithm (SWOA). The effectiveness and accuracy of the proposed scheme are verified through simulation result.…”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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Optimizing capacitor size and placement in radial distribution networks for maximum efficiency by R. Arunjothi, K.P. Meena

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Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection a... by Suvashisa Dash, Satyasis Mishra, Mohammed Siddique, Demissie J. Gelmecha, Ram Sewak Singh

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Optimizing Multi-Echelon Delivery Routes for Perishable Goods with Time Constraints by Manqiong Sun, Yang Xu, Feng Xiao, Hao Ji, Bing Su, Fei Bu

“…The two-stage heuristic algorithm designed in this study also converged faster than the other two heuristic algorithms, with overall optimization improvements of 1.55% and 1.28%, further validating the superior performance of the proposed heuristic algorithm.…”
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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…The Mixed-Integer Programming (MIP) approach is used to build the mathematical model, solved with both exact algorithms and Genetic Algorithms (GA), and implemented in Python 3.12.7. …”
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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

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An Enhanced Interval Type-2 Fuzzy C-Means Algorithm for Fuzzy Time Series Forecasting of Vegetation Dynamics: A Case Study from the Aksu Region, Xinjiang, China by Yongqi Chen, Li Liu, Jinhua Cao, Kexin Wang, Shengyang Li, Yue Yin

“…Fuzzy time series (FTS) prediction models based on the Fuzzy C-Means (FCM) clustering algorithm address some of these uncertainties by enabling soft partitioning through membership functions. …”
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Hard‐state Protocol Independent Multicast—Source‐Specific Multicast (HPIM‐SSM) by Ana Catarina Grilo, Pedro Oliveira, Rui Valadas

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The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Mode... by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

“…By harnessing the power of supervised ML (SML) algorithms, this study aimed to identify the most consistent predictors of HIV testing in repeated adult population-based surveys in South Africa. …”
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