Quantitative inversion of integrated hyperspectral and optical remote sensing images to monitor dust distribution in open pit mines by Simin Feng, Jin Zhang

“…This was achieved by inverting AOD using the 6S radiative transfer model and Dense Dark Vegetation and V5.2 algorithm. The results indicate that: ① AOD obtained by inversion using V5.2 algorithm is more suitable for the Pingshuo mining area.②AOD distribution from different periods demonstrates spatial consistency, showing higher values in waste dumps, roads and town buildings, while lower values are found in open pit mine, vegetation and water.③Dust sources are primarily concentrated in areas with higher AOD values, such as waste dumps, roads, town buildings, where dust pollution is more severe. …”
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Integrated System of Microalgae Photobioreactor and Wine Fermenter: Growth Kinetics for Sustainable CO₂ Biocapture by María Carla Groff, Cecilia Fernández Puchol, Rocío Gil, Lina Paula Pedrozo, Santiago Albareti, Ana Belén Manzanares, Emilia Sánchez, Gustavo Scaglia

“…To analyze microalgal growth kinetics, three mathematical models were employed: Logistic, First Order Plus Dead Time, and Second Order Plus Dead Time. Optimal parameter values for each model were identified using a hybrid search algorithm developed by our research group. …”
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High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT) by Yannis Schumann, Simon Schlumbohm, Julia E. Neumann, Philipp Neumann

“…This work introduces batch-effect reduction trees (BERT), a high-performance method for data integration of incomplete omic profiles. We characterize BERT on large-scale data integration tasks with up to 5000 datasets from simulated and experimental data of different quantification techniques and omic types (proteomics, transcriptomics, metabolomics) as well as other datatypes e.g., clinical data, emphasizing the broad scope of the algorithm. …”
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Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension by Zunfeng Fu, Jing Wang, Wenyi Shen, Yanqing Wu, Jiajun Zhang, Yan Liu, Chongqiang Wang, Yanlin Shen, Ye Zhu, Weifu Zhang, Chunju Lv, Lin Peng

“…Patients were grouped according to threshold values of 15 mmHg and 20 mmHg based on invasive intracranial pressure (ICPi) measurements. …”
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Skin microbiome-biophysical association: a first integrative approach to classifying Korean skin types and aging groups by Seyoung Mun, Seyoung Mun, Seyoung Mun, HyungWoo Jo, HyungWoo Jo, Young Mok Heo, Chaeyun Baek, Hye-Been Kim, Haeun Lee, Kyeongeui Yun, Kyeongeui Yun, Jinuk Jeong, Wooseok Lee, Dasom Jeon, Dasom Jeon, So Min Kang, So Min Kang, Seunghyun Kang, Young-Bong Choi, Young-Bong Choi, Sangjin Han, Gabriel Kim, Kung Ahn, Dong Hun Lee, Yong Ju Ahn, Dong-Geol Lee, Dong-Geol Lee, Kyudong Han, Kyudong Han, Kyudong Han, Kyudong Han

“…To further amplify our findings, we harnessed the potent capabilities of the CatBoost boosting algorithm and achieved a reliable framework for predicting skin types based on microbial composition with an impressive average accuracy of 0.96 AUC value. …”
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Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region by Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Li, Wenjing Liu

“…This study presents a novel framework for FCS estimation in managed forest farms, demonstrating the values of integrating deep learning-based multisource data in forest mapping and structural complexity metrics derived from LiDAR for FCS estimation.…”
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Research on Identification, Evaluation, and Digitization of Historical Buildings Based on Deep Learning Algorithms: A Case Study of Quanzhou World Cultural Heritage Site by Siqi Wang, Jiahao Zhang, Aung Nyan Tun, Kyi Sein

“…Historical buildings have important historical and social value, but they are generally difficult to identify, complicated to evaluate, and insufficiently addressed in digitization research. …”
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Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem by Dumont, Marc, Plagnes, Valérie, Lachassagne, Patrick, Guérin, Roger, Nugraha, Bayu, Mohamad, Febriwan, Oudin, Ludovic, Fadillah, Arif, Valdès, Danièle, Brocard, Gilles, Bonjour, Jean-Luc, Saadi, Mohamed, Esneu, Anne-Sophie, Muhammad, Aswar, Hendarmawan, Dörfliger, Nathalie

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USE OF INTEGRATED DIFFUSION-WEIGHTED MAGNETIC-RESONANCE IMAGING IN PRE-OPERATIVE EVALUATION OF RESECTABILITY OF ADVANCED OVARIAN CANCER by A. E. Solopova, S. K. Ternovoy, V. I. Alipov, A. D. Makatsariya

“…The aim of the study was to compare the diagnostic potential of integrated diffusion-weighted magnetic-resonance imaging (DW-MRI) with multi-spiral computed tomography (MSCT) in pre-operative evaluation of resectability of advanced ovarian cancer. …”
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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

“…Signals from 20-channel fNIRS were utilized, with input features including statistical descriptors such as mean, variance, slope, skewness, and kurtosis. The CSP algorithm was integrated into both SVM and LDA classifiers to reduce dimensionality. …”
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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

“…The ability of MLD to optimize the probability of accurate symbol detection in complex, high-dimensional environments renders it crucial for systems where signal integrity and precision are critical. Lastly, RDE is implemented as an alternative algorithm to the CMA-based equalizer, utilizing the idea of adjusting the amplitude of the received distorted symbol so that its modulus is closer to the ideal value for that symbol. …”
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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

“…To overcome these challenges, the EC-ICM integrates environmental factors with optimized EC values for various land use types, enhancing its adaptability for watershed management. …”
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Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

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Development of a Diagnostic Model for Focal Segmental Glomerulosclerosis: Integrating Machine Learning on Activated Pathways and Clinical Validation by Ge Y, Liu X, Shu J, Jiang X, Wu Y

“…We then developed a highly accurate diagnostic model by integrating nine machine learning algorithms into 101 combinations, achieving near-perfect AUC values across training, validation, and external cohorts. …”
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Identification of core sub-team on scientific collaboration networks with Shapley method by Lixin Zhou, Chen Liu, Xue Song

“…To efficiently identify high-contributing sub-teams, we employ the Monte Carlo Tree Search algorithm, along with an approximation strategy to estimate Shapley values under computational constraints. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Jorge A. Fernandez-Jibaja, Nilton Atalaya-Marin, Yeltsin A. Álvarez-Robledo, Victor H. Taboada-Mitma, Juancarlos Cruz-Luis, Daniel Tineo, Malluri Goñas, Darwin Gómez-Fernández

“…Among the regression algorithms tested, support vector regression (SVR) demonstrated the highest predictive accuracy (R² = 0.81) for the Bellavista variety at the maximum tillering stage. …”
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A Blockchain-Integrated Federated Learning Approach for Secure Data Sharing and Privacy Protection in Multi-Device Communication by Kejun Li

“…Compared to advanced algorithms, the proposed model saves approximately 6% of interaction time. …”
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An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromeResearch in context by Peng Peng Xu, Bin Hu, Fan Zhou, Zhi Han Xu, Qian Chen, Tong Yuan Liu, Bang Jun Guo, Chang Sheng Zhou, Xin Wei Tao, Hong Yan Qiao, Jia Ni Zou, Xiang Ming Fang, Wen Cai Huang, Long Jiang Zhang

“…Additionally, the RF model showed a significant improvement in performance compared to the stenosis severity model in both Cohorts 3 and 4 (all net reclassification improvement [NRI] values > 0). Interpretation: The ACS culprit lesion model developed using RF algorithms demonstrated superior diagnostic performance and was effective for short-term (2-year) ACS risk stratification. …”
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A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…Considering that the sample size of magnetic flux leakage （MFL） data for large-diameter pipeline crack defects is insufficient to support the quantitative identification， a database generation method integrating numerical simulation of MFL field and diffusion algorithm was proposed， and it was verified through full-scale pull test and three-dimensional MFL simulation modeling. …”
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A Low Power Memory-Integrated Hardware BNN-MLP Model on an FPGA for Current Signals in a Biosensor by Geon-Hoe Kim, Dong-Gyun Kim, Sung-Jae Lee, Jong-Han Kim, Da-Yeong An, Hyejin Kim, Young-Gun Pu, Heejeong Jasmine Lee, Jun-Eun Park, Kang-Yoon Lee

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