Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…The median grain size of rock is the main basis for the identification of sedimentary facies, and the variation of the median grain size of rock can be used to obtain the stratum sedimentary rhythm and thus to classify the flow unit. …”
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The Spatial Distribution and Driving Mechanism of Soil Organic Matter in Hilly Basin Areas Based on Genetic Algorithm Variable Combination Optimization and Shapley Additive Explana... by He Huang, Yaolin Liu, Yanfang Liu, Zhaomin Tong, Zhouqiao Ren, Yifan Xie

“…At the same time, the SHAP interpretation method is used to quantitatively analyze the spatial distribution characteristics of the SOM content and further identify the main driving factors. Compared with the ordinary Kriging (OK) and random forest (RF) methods, the random forest model based on genetic algorithm variable combination optimization (RF-GA) demonstrates a significantly improved prediction accuracy (R² = 0.49; RMSE = 3.49 g·kg⁻¹), with an MAE = 3.019 and LCCC = 0.67. …”
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting by A.C. Goulart, A.P. Alencar, G. Tunes, L.L.T. Bianchi, M.H. Miname, C.M. Padilha, J.M.S. Pescuma, A.L.C.C. Rodrigues, B.B. Henares, M.S. de Almeida, T.A.O. Machado, D.H. Syllos, Y.P. Wang, M. Rienzo

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Extending Artery/OMNeT++ for Evaluating V2X Sensor Fusion Algorithms With Infrastructure Support in Cooperative Advanced Driver Assistance Systems by Hamdan Hejazi, Andras Wippelhauser, Laszlo Bokor

“…Although the framework is considered one of the best V2X simulators, serious deficiencies related to the error model in the representation of positioning were identified, prohibiting modeling of various advanced sensor fusion solutions and related ADAS technologies that rely on Cooperative Awareness Messages (CAMs), Collective Perception Messages (CPMs), and Vulnerable Road User Awareness Messages (VAMs). The main contribution lies in error models that were introduced to the framework to incorporate realistic measurement uncertainties, enhancing the fidelity of V2X message simulations and enabling a more accurate representation of real-world GPS and sensor errors. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

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SAOCOM-1 L-Band DInSAR Time Series Generation Through the P-SBAS Approach: Algorithm Extension and Products Analysis by Claudio De Luca, Yenni Lorena Belen Roa, Manuela Bonano, Francesco Casu, Pablo Euillades, Leonardo Euillades, Marianna Franzese, Michele Manunta, Muhammad Yasir, Giovanni Onorato, Pasquale Striano, Luigi Dini, Deodato Tapete, Riccardo Lanari

“…In particular, we first discuss the algorithmic extensions allowing us to retrieve SAOCOM-1 DInSAR products, with a main focus on the exploitation of Stripmap SAR images and multilook interferograms. …”
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Algorithm for the provision of comprehensive psychotherapeutic support to women experiencing neuropsychiatric symptoms during rehabilitation following the treatment of malignant ne... by D. V. Blinov, A. G. Solopova, E. E. Achkasov, E. S. Akarachkova, O. V. Kotova, S. A. Akavova, V. N. Galkin, G. K. Bykovshchenko, L. N. Sandzhieva, D. I. Korabelnikov, T. A. Blbulyan, D. A. Petrenko, A. Yu. Vlasina

“…The follow-up period was 1 year after radical surgical treatment of reproductive system MNs in different localizations. The main group received the algorithm for the provision of comprehensive psychotherapeutic support as part of active medical rehabilitation, the comparison group received basic rehabilitation.Results. …”
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Treatment of the Cirrhotic Patients Considering Portal Hypertension Severity Degree and Comorbid Syntropic Extrahepatic Lesions, their Complications: Modified Algorithm, its Effect... by Ferko M.

“…According to the results of our study, we can say that the improved algorithm for the treatment of patients with liver cirrhosis and a common methodology gives a positive result, but in terms of qualitative and quantitative indices, generally accepted medical complex is significantly inferior to modified by us algorithm. …”
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Modern approaches to the diagnosis and treatment of cardiac sarcoidosis: results of a cohort study by S. V. Mairina, D. V. Ryzhkova, L. B. Mitrofanova, A. V. Ryzhkov, P. M. Murtazalieva, O. M. Moiseeva

“…Delayed contrast enhancement according to cardiac MRI was recorded mainly intramurally in the interventricular septum and subepicardial area of left ventricular (LV) lateral wall. …”
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Music Emotion Classification Based on Heterogeneous Graph Neural Networks by Jing-Ying Guo, Peng Wang

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MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO by Maria Torres Olave, Hugo Rojas Villalobos, Gina Zesati, Luis Bravo Peña, Luis Alatorre Cejudo

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Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution by Nawal Shaltout, Ahmed A.Abd El-Latif, Waleed M. Al-Adrousy, Samir Elmougy

“…The proposed encryption method depends mainly on four steps: sequence generation, diffusion, confusion, and optimization. …”
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Autonomous Task Planning of Intelligent Unmanned Aerial Vehicle Swarm Based on Deep Deterministic Policy Gradient by Qiang Jiang, Yongzhao Yan, Yinxing Dai, Zequan Yang, Huazhen Cao, Bo Wang, Xiaoping Ma

“…To address these issues, this paper develops a representative problem model, establishes a six-tier standardized simulation environment, and selects the Deep Deterministic Policy Gradient (DDPG) algorithm as the core intelligent algorithm to enhance the autonomous task planning capabilities of UAV swarms. …”
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Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Vali... by Jun Tang, Yang Li, Keyu Luo, Jiangyuan Lai, Xiang Yin, Dongdong Wu

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The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals by Yang Liu, Yang Liu, Renzhao Liang, Chengzhi Zhang

“…ObjectiveThe COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). …”
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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid by Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang

“…To this end, a mixed integer linear programming (MILP) model and a Deep Reinforcement Learning (DRL)-based algorithm are proposed. Simulation results show that the proposed DRL-based algorithm outperforms the benchmark in terms of profit of AI service provider, backlog of distributed model training tasks, running time and multi-objective optimization.…”
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Applications of machine learning algorithms in lithological mapping of Saint Katherine Neoproterozoic rocks in the South Sinai of Egypt using hyperspectral PRISMA data by Mohamed W. Ali-Bik, Tehseen Zafar, Safaa M. Hassan, Mohamed F. Sadek, Saif M. Abo Khashaba

“…Automatic lithological mapping has been carried out using Support Vector Machine (SVM), and Random Forest (RF) machine learning algorithms applied to hyperspectral PRISMA data with an overall accuracy (OA) of up to 91.41% and 86.64%, respectively. …”
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A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network by Hang Yang, Simon Fong, Guangmin Sun, Raymond Wong

“…This paper proposes a novel stream mining algorithm with a programmable mechanism for handling missing data. …”
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Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA by Sina Abbasi, Seyedeh Saeideh Mousavi, Ebrahim Farbod, Mohammad Yousefi Sorkhi, Mohammad Parvin

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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Scenarios such as the loading and unloading area of open-pit mines are usually unstructured operating areas with complex terrain environment and many obstacles. As the main tool for material transportation of open-pit mines, unmanned mining trucks are more difficult to plan paths in this scenario due to their size, heavy load and other characteristics. …”
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