H∞ Consensus Design and Online Scheduling for Multiagent Systems with Switching Topologies via Deep Reinforcement Learning by Haoyu Cheng, Ruijia Song, Linpeng Xu, Di Zhang, Shengli Xu

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Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception by D. A. Chistoprudov, V. A. Kozlov, M. R. Bibarsov, D. A. Potyagov, N. Ya. Karasik

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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

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Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them by N. Yadav

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Organization of management and structure in local networks internet of things by U. A. Vishniakou, A. H. Al-Masri, S. K. Al-Haji

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Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer by Yi Huang, Shuogui Fang, Weibin Xie, Yitong Zou, Hui Zhuo, Gang Shen, Hua Zhou, ChunPing Mao, Cong Lai, Jianqiu Kong, Xinxiang Fan

“…Results The nomogram, incorporating the P3H4, C1QTNF6, COLGALT1, COL4A1, COL14A1, RGCC, PPARG, SCX and age by utilizing least absolute shrinkage and selection operator Cox regression algorithm, exhibits the favorable predictive capability in the area under the receiver operator characteristic curve, the calibration curve and decision curve analysis. …”
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Exergoeconomic Optimization of a Novel Hydrogen Generation System Based on Geothermal Energy by Ebrahim Aghaie, Ehsanolah Assareh, Hossein Yousefi, Rahim Moltames, Amirhossein Fathi, Kianoosh Choubineh

“…Moreover, implementing the particle swarm optimization (PSO) algorithm increases power generation by 4.3%, energy efficiency by 4.2%, exergy efficiency by 4.3%, hydrogen production by 1%, and decreases cost rate by 1%.…”
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Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning by Liang Zhong, Meng Ding, Shengjie Yang, Xindan Xu, Jianlong Li, Zhengguo Sun

“…Ultimately, the SHAP method was used to shed light on the model’s decision-making process. The results show that (1) FOD can further highlight the spectral features, thereby strengthening the correlation between soil Cd content and wavelength; (2) the CARS algorithm extracted 3.4–6.8% of the feature wavelengths from the full spectrum, and most of them were the wavelengths with high correlation with soil Cd; (3) the optimal estimation precision was achieved using the FOD1.5-SNV spectral pre-processing combined with the Stacking model (<i>R</i>² = 0.77, RMSE = 0.05 mg/kg, RPD = 2.07), and the model effectively quantitatively estimated soil Cd contamination; and (4) SHAP further revealed the contribution of each base model and characteristic wavelengths in the Stacking modeling process. …”
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Information and methodological aspects of developing platforms of spatial management of natural assets in resource limitations by V.V. Mykytenko, I.V. Dragan

“…It includes a set of target programs MiNerGy v.5.0 and MINprojet v.3, where the algorithm of two blocks to perform economic-statistical and stochastic counter-forecasts, used, along with standard packages «Statistica +» and Windows-applications Excel, Access (included in the author's technologies) tool environment of cognitive-information systems of the third intellectual level, which are developed using neural networks Neiro Pro 0.25 and Brain Maker 3.11.…”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

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Support Vector Machine Berbasis Feature Selection Untuk Sentiment Analysis Kepuasan Pelanggan Terhadap Pelayanan Warung dan Restoran Kuliner Kota Tegal by Oman Somantri, Dyah Apriliani

“…Sentiment analysis is used to provide a solution related to this problem by applying the Support Vector Machine (SVM) algorithm model. The purpose of this research is to optimize the generated model by applying feature selection using Informatioan Gain (IG) and Chi Square algorithm on the best model produced by SVM on the classification of customer satisfaction level based on culinary restaurants at Tegal City so that there is an increasing accuracy from the model. …”
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Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. …”
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…These patients were randomly assigned to the training or test group in a 7:3 ratio. The least absolute shrinkage and selection operator algorithm was employed to reduce the dimensionality of deep learning (DL) features extracted from pre-standardized EUS images. …”
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Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network by Brett H. Smith, MD, Jackson G. Wolfe, Alvina Karam, MD, Bart M. Demarkschalk, MD, Courtney M. Hrdlicka, MD, Deena M. Nasr, DO, Felix E. Chukwudelunzu, MD, Charisse A. Nord, MA, Emily A. Pahl, BA, Claire Fernandez, PhD, Sam Wood, Zoe VJ. Woodhead, PhD, Davide Carone, MD, DPhil, George Harston, MBBS, Dphil, Stephen W. English, MD, MBA

“…Although none of the clinical outcomes reached statistical significance, the survey results reported good user satisfaction with algorithm performance and image viewing. Conclusion: This study reported a nonsignificant increase in treatment rates and a decrease in time to treatment decisions. …”
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Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory&amp;nbsp;Response Syndrome Following Pediatric&amp;nbsp;Percutaneous Nephrolithotripsy by Abudurexiti N, Liu B, Wang S, Dong Q, Batuer M, Liu Z, Li X

“…The dataset was split into training and validation sets using a 7:3 ratio based on positive samples. The Synthetic Minority Over-sampling Technique (SMOTE) was applied to overcome class imbalance in the training set, while feature selection was performed using a combination of LASSO regression and Boruta algorithms. …”
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Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal by Talha Ibn Mahmud, Sheikh Asif Imran, Celia Shahnaz

“…This method has the potential to aid the patients in receiving the benefit of an automatic and faster clinical decision support system, thus handling the severity of hypoxemia.…”
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Hyperparameter optimization of XGBoost using artificial bee colony for predicting medical complications in hemodialysis patients by Rangga Laksana Aryananda, Trimono, Wahyu Syaifullah J, Wan Suryani Wan Awang

“…This approach can enhance patient care, reduce mortality risks, and support clinical decision-making for hemodialysis patients. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…The CatBoost model achieves a balanced accuracy of 92.7% and an F1-score of 89.3% in six lithology classifications. This approach delivers high-precision geo-engineering decision support for the real-time control of horizontal well trajectories, which holds significant implications for the precision drilling of strongly heterogeneous reservoirs.…”
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Surgical Treatment of Neuroendocrine Liver Metastases by Ser Yee Lee, Peng Chung Cheow, Jin Yao Teo, London L. P. J. Ooi

“…A multidisciplinary approach should be established as the platform for decision making.…”
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Paroxysmal sympathetic hyperactivity during neurorehabilitation for severe acquired brain injury: current Scandinavian practice and Delphi consensus recommendations by Alison K Godbolt, Catharina Nygren DeBoussard, Alexandros Zampakas

“…From these, an algorithm to support clinical decisions at all stages of inpatient rehabilitation was created.Conclusions Considerable consensus exists in the Nordic countries regarding principles for PSH assessment and treatment. …”
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