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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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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Integration of single-cell and bulk RNA sequencing to identify a distinct tumor stem cells and construct a novel prognostic signature for evaluating prognosis and immunotherapy in... by Fengyun Zhao, Mengting Chen, Tianjiao Wu, Mingfang Ji, Fugui Li

“…Immune infiltration was evaluated using the Cibersortx algorithm, and drug response prediction was performed using the pRRophetic package. …”
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Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer by Li Zhao, Yao Huang, Jiang Li, Rui Xie, Kaiming Li

“…Patients were then stratified according to their ITH scores, and differences between subgroups were examined through pathway enrichment analysis, immune cell infiltration profiling, and drug response prediction. Furthermore, we conducted subcellular localization and differential analysis of ITH using single-cell data, followed by cell-cell communication analysis to explore interaction relationships and identify key pathways. …”
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CMSS1: A RNA binding protein with pivotal roles in non-small cell lung cancer progression and prognosis by Zhe Fan, Wanyu Liu, Zhiwei Gao, Youfa Liu, Hongyang Hai, Zhenyang Lv

“…This study may provide potential guidance for precision therapy and accurate prognosis prediction for patients with NSCLC.…”
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Simulation and Spatio-Temporal Analysis of Soil Erosion in the Source Region of the Yellow River Using Machine Learning Method by Jinxi Su, Rong Tang, Huilong Lin

“…Given these challenges, the objectives of this study were to develop a suitable assessment and prediction model for soil erosion tailored to the SRYR’s needs. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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