Species-level classification of urban trees from WorldView-2 imagery in Debrecen, Hungary: An effective tool for planning a comprehensive green network to reduce dust pollution by Vanda Eva MOLNAR, Edina SIMON, Szilárd SZABÓ

“…The best overall accuracy was achieved with the ML algorithm applied to the first four transformed bands (75.1%), and with the SVM algorithm applied to eight bands (71.0%). …”
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New timestamp mark–based energy efficient time synchronization method for wireless sensor networks by Yourui Huang, Gang Zhang, Min Kong, Fugui He

“…The group-wise pair selection algorithm is used to select the network’s pairwise synchronization nodes, and chain-type network topology is thus generated. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…<p>Thunderstorm forecasting remains challenging despite advances in numerical weather prediction (NWP) systems. The microphysics scheme that represents clouds in the model partly contributes to the introduction of uncertainties in the simulations. …”
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AI-Assisted Detection for Early Screening of Acute Myeloid Leukemia Using Infrared Spectra and Clinical Biochemical Reports of Blood by Chuan Zhang, Jialun Li, Wenda Luo, Sailing He

“…By analyzing blood samples from leukemia patients and the negative control (including non-leukemia patients and healthy individuals), we achieved rapid and accurate prediction and identification of acute myeloid leukemia among adults. …”
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Uncertainty Impact on Aggregator Performance for Peak Shaving by Ismail Arafat, Eduardo Castillo Guerra, Julian Meng

“…Accurate peak period forecasting and load consumption profile prediction are critical for utility resource planning and emergency response preparedness. …”
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A Two-Stage Deep Learning Method for Marine Oil Spill Localization and Segmentation From Synthetic Aperture Radar Images by Xudong Huang, Biao Zhang, William Perrie

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Rapid and Non-destructive Detection of Rice Protein Content Based on Near Infrared Spectroscopy by Siping TAN, Jicheng YUE, Ying CHEN, Cuihong HUANG, Danhua ZHOU, Huijuan ZHANG, Guili YANG, Hui WANG

“…The external validation R2 and external validation SEP of NIR detection models for determination of protein content in rice and milled rice were 0.950 and 0.981, and 0.364 and 0.197, respectively.【Conclusion】The prediction model of rice protein content based on near infrared spectroscopy can be used for the preliminary screening of protein content in large samples of breeding materials, which can provide reference for rice nutritional quality breeding.…”
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Non-Destructive Detection and Visualization of Chlorophyll Content in Cherry Tomatoes Based on Hyperspectral Technology and Machine Learning by Peng Huang, Pan Yang, Libiao Yang, Futong Xiao, Yanqi Feng, Yuchao Wang

“…Firstly, Moving-Average (MA) preprocessing was chosen as the pretreatment method for this paper, and three regression models of principal component regression (PCR), random forest (RF), and partial least squares regression (PLSR) were established with leaf chlorophyll under different nitrogen concentrations. The CARS_PLSR algorithm has the highest prediction accuracy with accuracy, precision, RMSEC, and RMSEP of 0.8790, 0.9187, 2.9581, and 2.5578, respectively. …”
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Modeling of Long-Term Load Forecast in Jordan Based on Statistical Techniques by Mohammad Awad Momani, Sajedah A. Tashtush, Rahaf J. Shahrour, Abeer M. AlSatari

“…The Bayesian information criteria (BIC) and Akaike information criteria (AIC) indices are used as a measure in the selection of the appropriate model for prediction. The comparison between the six model’s scenarios shows that ARIMA (1, 1, 1) is the best model that fits the time series with minimum error and with the lowest BIC and AIC. …”
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Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis by Xiao Chen, Zhiyun Shen, Tingyu Guan, Yuchen Tao, Yichen Kang, Yuxia Zhang

“…The accuracy, precision, recall, and F-measure of the method integrating logistic regression, multinomial naïve Bayes, and random forest for patient experience themes were 0.93, 0.95, 0.80, 0.77, and 0.84, respectively, indicating a satisfactory prediction. The sentiment analysis revealed that negative sentiment posts constituted the highest proportion (3319/4008, 82.81%). …”
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An Integrative Gene Expression Profiling Analysis Indicates Bisphenol A Promotes Osteosarcoma Progression by Interacting With Seven Prognosis-Related Genes by Jin Liu, Peng Zhang, Meng Xu, Fan Chen, Wenjing Yu, Ting Xia

“…On the basis of the BPA-based prognostic prediction model in OS cohort, we discovered that seven BPA-related genes (IHH, ELFN1-AS1, AL161909.1, IGHV4-39, CSAG1, ACTA2, and SSX1) are closely associated with the prognosis of the OS patients. …”
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From inflammation to depression: key biomarkers for IBD-related major depressive disorder by Chaoqun Hu, Mei Ge, Yan Liu, Wei Tan, Yingzhi Zhang, Min Zou, Lingya Xiang, Xiaomei Song, Hong Guo

“…Methods We utilized IBD and MDD-related datasets from the GEO database for differential gene expression analysis, protein-protein interaction (PPI) and pathway enrichment analysis, random forest algorithm, LASSO regression analysis, and construction of a disease prediction model. …”
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Changes in composition and function of intestinal microbiota after cholecystectomy by JIANG Hongfei, YANG Min, JIAN Jincheng

“…Beta diversity analysis using the Bray-Curtis distance algorithm revealed a significant difference between the 2 groups at the class and genus levels (P<0.05). …”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

“…The system integrates real-time anomaly detection and trend prediction modules, dynamically identifying gas concentration mutation events through a sliding window mechanism, with a warning accuracy rate of 92.6%. …”
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Clinical applications of photon-counting CT in neuroimaging by LÜ Haiying, LU Yong, HE Naying

“…With its multi-energy virtual monoenergetic reconstructions, it shows promise for quantitative analysis of intracranial athe-rosclerotic plaques and prediction of plaque rupture risk. Under sharp reconstruction kernels (e.g., BV72-BV80), PCCT enables clear visualization of intracranial arterial stents and residual aneurysms, offering a new noninvasive alternative to DSA for postope-rative monitoring of intracranial artery treatments. …”
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Enhancing MANET Security Through Federated Learning and Multiobjective Optimization: A Trust-Aware Routing Framework by Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar, Firoz Bin Yusuf Patel Dawoodi

“…MOO, particularly nondominated sorting genetic algorithm III, effectively balances conflicting network objectives, offering a 15% improvement in overall network performance compared with single-objective approaches. …”
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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 sensitivity of DW-MRI vs MSCT was 78,3% vs 50%; and the specificity of DW-MRI vs MSCT was 78% vs 87%, respectively. The DW-MRI based prediction on the impossibility of effective surgical cytoreduction was correct in 92% of patients. …”
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ASTER GDEM Correction Based on Stacked Ensemble Learning and ICEsat-2/ATL08: A Case Study from the Qilian Mountains by Qi Wei, Yanli Zhang, Yalong Ma, Ruirui Yang, Kairui Lei

“…This study can provide high-precision DEM scientific data for quantitative remote sensing, flood prediction, and other research.…”
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A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…This approach achieved an overall model prediction accuracy of 95.41%. As final validation, 10,120 input images from a segregating F1 biparental population were used to evaluate the algorithm performance. …”
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A Multi-Mode Switching Energy Management Strategy Based on Travel Habits for Range-Extended Electric Vehicle by Zhenhai Gao, Guoqing Zhang, Hanwu Liu, Cheng Chang, Jingwen Dong, Rongrong He, Yu Cai

“…The proposed strategy is based on the fuzzy control algorithm, which ensures that the theoretical SoC curve is well followed. …”
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