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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An innovative maximum power point tracking for photovoltaic systems operating under partially shaded conditions using Grey Wolf Optimization algorithm by Muhannad J. Alshareef

“…Partial shading conditions (PSCs) may be unpredictable and difficult to forecast in large-scale solar photovoltaic (PV) systems. …”
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Application of dynamic enhanced scanning with GD-EOB-DTPA MRI based on deep learning algorithm for lesion diagnosis in liver cancer patients by Bo Liu, Jinhua Yang, Yifei Wu, Xi Chen, Xueru Wu

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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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Exploration of genetic algorithms to build a balanced neutron spectra dataset useful to train unfolding techniques based on artificial neural networks by Bouhadida Maha, Hmede Rodayna, Brovchenko Mariya, Monange Wilfried, Vinchon Thibaut, Ducasse Quentin, Trompier François

“…To ensure the ML algorithm to perform on a large domain of application particular attention has been paid to the dataset creation. …”
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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework that integrates kmers, dataset selection, dimensionality reduction and classification algorithms to facilitate the heterogeneous classification of immune cells.Results and DiscussionBy comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …”
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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…This research contributes to a deeper theoretical understanding of the urban-rural integration mechanism and provides preliminary insights that may serve as a reference for promoting balanced and sustainable urban-rural development in China.…”
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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts by Renao Jiang, Longfei Dai, Xinjian Xu, Zhen Zhang

“…Identification of cell death genes may offer insights into diagnostic and therapeutic strategies for NASH. …”
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Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm by Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…Classification methods based on electroencephalography (EEG) signals and machine learning algorithms are crucial for assessing neonatal brain injury. …”
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Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

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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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Evaluation of a Computer-Based Morphological Analysis Method for Free-Text Responses in the General Medicine In-Training Examination: Algorithm Validation Study by Daiki Yokokawa, Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Yasuharu Tokuda

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The utility of liver function tests for mortality prediction within one year in primary care using the algorithm for liver function investigations (ALFI). by David J McLernon, John F Dillon, Frank M Sullivan, Paul Roderick, William M Rosenberg, Stephen D Ryder, Peter T Donnan

“…<h4>Background</h4>Although liver function tests (LFTs) are routinely measured in primary care, raised levels in patients with no obvious liver disease may trigger a range of subsequent expensive and unnecessary management plans. …”
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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…To improve adaptability and ability to handle nonlinearities via continuous learning, the proposed algorithm is built upon a twin delayed deep deterministic policy gradient (TD3) reinforcement learning (RL) algorithm for the optimal torque distribution across four wheels of the vehicle. …”
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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…In addition to being able to model the spatial–time heterogeneity available in observations, this algorithm is accurate and faster than MLR, GWR, GRNN, and GCW-GRNN. …”
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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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Epidemiological Assessment and Inference in Race-Based Clinical Algorithms: A Narrative Review and Health Policy Analysis Focused on Living Kidney Donation by Sienna E. Schaeffer, Carolina Gonzalez Bravo, Christopher D. Ahlers, Alaina N. Elliott-Wherry, Hannah Zadeh, Precious-Junia de-Winton Cummings, Kimberly C. Dukes, Nasrien E. Ibrahim, DeShauna Jones, Patrick T. Zamba, Aloha D. Wilks, Martha L. Carvour

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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Factors such as intensity of pixels and noise may also affect the algorithm’s convergence. It is not also well-known that the algorithm converges uniformly or consistently across the field of view (FOV), termed as radial congruency or sensitivity to location and direction. …”
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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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