Expected Transmission Energy Route Metric for Wireless Mesh Senor Networks by YanLiang Jin, HuiJun Miao, Quan Ge, Chi Zhou

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Postcholecystectomy syndrome: the modern approach: resolution of Advisory council by V. T. Ivashkin, A. V. Okhlobystin, D. S. Bordin, E. Ya. Seleznyova, Yu. A. Kucheryavy, Ye. V. Bystrovskaya, O. C. Vasnev, M. F. Osipenko, G. H. Musayev, Yu. O. Shulpekova

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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…The cleaning accuracy improvement is particularly significant when dealing with a high proportion of stacked anomaly data, thereby bringing significant value to wind power applications such as wind power prediction, condition assessment, and fault detection.…”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

“…To solve these problems, a new prediction method based on the algorithm of harmonic percussion sound separation (HPSS) and continuous interphase sampling (CIS) of cochlear implants and the CNN-CBAM (Convolutional neural network based on Convolutional Block Attention Module) model, is proposed in this paper. …”
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iSubgraph: integrative genomics for subgroup discovery in hepatocellular carcinoma using graph mining and mixture models. by Bahadir Ozdemir, Wael Abd-Almageed, Stephanie Roessler, Xin Wei Wang

“…The robustness analysis of the mixture model showed that the class predictions are highly stable. Moreover, the Kaplan-Meier survival analysis revealed that the HCC subgroups identified by the algorithm have different survival characteristics. …”
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Identification and validation of TUBB, CLTA, and FBXL5 as potential diagnostic markers of postmenopausal osteoporosis by Yue Tan, Yujing Wang, Qin Zhu, Yan Xue, Xuhao Ji, Zhenkun Li, Jiawen Shen, Chengming Sun, Shiqi Ren, Chenlin Zhang, Jianfeng Chen

“…The genetic markers identified in this study hold potential for accurately predicting the risk of PMOP in patients. The findings contribute to understanding the underlying molecular mechanisms of CLTA, TUBB, and FBXL5 in PMOP and may facilitate the development of novel therapeutic strategies and improved monitoring of the disease. …”
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Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

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Application of Path Planning and Tracking Control Technology in Mower Robots by Lixing Liu, Hongjie Liu, Xu Wang, Jianping Li, Pengfei Wang, Shuteng Liu, Jinxuan Zou, Xin Yang

“…Meanwhile, future development trends are predicted.…”
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On-chip differential mode group delay manipulation based on 3D waveguides by Xiaofeng Liu, Quandong Huang, Jiaqi Ran, Jiali Zhang, Ou Xu, Di Peng, Yuwen Qin

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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…We focus on two dominant AI-EEG application models: supportive AI (augmenting clinical decisions) and predictive AI (anticipating seizures or outcomes).ResultsAI-based EEG analysis demonstrates significant potential in improving epilepsy detection, monitoring, and therapeutic evaluation. …”
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In silico exploration of novel EGFR-targeting compounds: integrative molecular modeling, docking, pharmacokinetics, and MD simulations for advancing anti-cervical cancer therapeuti... by Auwal Salisu Isa, Adamu Uzairu, Umar Meleh Umar, Muhammad Tukur Ibrahim, Abdullahi Bello Umar, Kamal Tabti, Abdussamad Mukhtar Mohammed

“…This study investigates the potential of 2,4-diphenyl indenol [1,2-b] pyridinol derivatives as inhibitors targeting the epidermal growth factor receptor (EGFR) through computational drug discovery methods. A genetic algorithm-multiple linear regression (GA-MLR) model was created, achieving strong predictive accuracy with R² = 0.9243, Q² = 0.8957, CCC = 0.9021, and MAE = 0.034. …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

“…To ensure interpretability, we applied the local interpretable model-agnostic explainer (LIME), identifying contralateral putamen SBR as the most predictive feature for distinguishing PD from healthy controls. …”
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The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence by Hao Xie, Zijian Zhao

“…Moreover, this work intends to propose a new perspective for talent cultivation in animation majors in higher education institutions. Addressing the strong subjectivity and lack of quantitative indicators in traditional artistic creativity evaluation methods, this work constructs an artistic creativity innovation evaluation model based on the Backpropagation Neural Network (BPNN) integrated with the Style-Based Generative Adversarial Network (StyleGAN) algorithm. …”
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China’s county-level monthly CO2 emissions during 2013–2021 by Ming Gao, Chaofan Tu, Miaomiao Liu, Jiandong Chen, Xingyu Chen, Hong Zou, Thomas Shiu Tong, Long Chen, Shuke Fu

“…After the main feature variables were identified, a hybrid regression algorithm combining deep neural networks and CatBoost was constructed to generate instrumental variable for predicting CO2 emissions. …”
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COMMUNICATIVE TOOLS FOR COUNTERING MISINFORMATION by Vladyslav Voichuk

“…At the same time, digital technologies such as data analysis algorithms or artificial intelligence offer new opportunities to combat fakes. …”
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Estimating Economic Insights: A Machine Learning Method for Estimating the Shanghai Stock Exchange by Reza Seifi Majdar, Seyed Hadi Seyed Hatami

“…This work aims to create an accurate hybrid model for predicting stock prices which includes Adaptive Boosting, Slime mould algorithm, and Empirical mode decomposition (EMD) to forecast the stock market values. …”
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Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis. by Leonardo V Castorina, Filippo Grazioli, Pierre Machart, Anja Mösch, Federico Errica

“…This could then be used to estimate a confidence score on predictions on novel and unseen peptides, based on how different they are from the training ones. …”
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Fine monitoring method for mangrove wetland ecosystem based on sentinel data fusion and RF optimization by Shuwen Wang, Taisi Chen, Zimin Li, Haitao Sang

“…The accuracy rate in biomass prediction and environmental data classification was as high as 98%, highlighting its potential to completely change mangrove monitoring through precise land feature identification and ecological protection applications. …”
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Associations of choroid plexus volume with white matter hyperintensity volume and susceptibility and plasma amyloid markers in cerebral small vessel disease by Pengcheng Liang, Meng Li, Yiwen Chen, Zhenyu Cheng, Na Wang, Yuanyuan Wang, Nan Zhang, Yena Che, Jing Li, Changhu Liang, Lingfei Guo

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A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

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