Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors by Trung Kien Vu, Sungoh Kwon

“…Our proposed mobility prediction is robust to the location errors.…”
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Research on E-Commerce Platform-Based Personalized Recommendation Algorithm by Zhijun Zhang, Gongwen Xu, Pengfei Zhang

“…In the recommendation prediction stage, considering timeliness of the recommendation system, time weighted based recommendation prediction formula is adopted to design a personalized recommendation model by integrating level filling method and rating time. …”
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Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning by Si Chen

“…Several terms are synonyms for digital currency like digital money, electronic money, and cyber cash. Accurate prediction of the digital currency is an urgent necessity due to its impacts on the economic community. …”
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Frequency-Division Combination Forecasting of Stock Market Based on Wavelet Multiresolution Analysis by Shihua Luo, Jiangyou Huo, Zian Dai

“…Put forward a novel combination forecasting method (M-ARIMA-BP) that could make a more accurate and concise prediction of stock market based on wavelet multiresolution analysis. …”
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Energy-efficient load balancing in wireless sensor network: An application of multinomial regression analysis by Ruwaida M Zuhairy, Mohammed GH Al Zamil

“…The contribution of this research is to propose an energy-efficient load balancing strategy based on the proposed prediction model for the purpose of enhancing the lifetime of wireless infrastructure. …”
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Forecasting Stock Prices with Artificial Intelligence by Zhao Danxuan

“…The objective is to enhance the accuracy of future stock price Prediction to support investment or trading decisions. …”
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SUSTAINABILITY IN SERVICE´S SECTOR: NEW TRENDS OF SUSTAINABILITY TOOLS AND POSITIONING OF SERVICES IN ECONOMY by Johana Paluchová, Renata Prokeinová

“…In our article we like to introduce you a term of sustainability in service´s sector, such an ecological tourism at Slovak market through definition of sustainability and statistical methods used in prediction of chosen data such as GDP in service´s sector, service export and import and total prediction of Slovak service´s economy.…”
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Quasi-Steady Analytical Model Benchmark of an Impulse Turbine for Wave Energy Extraction by A. Thakker, J. Jarvis, A. Sahed

“…This work presents a mean line analysis for the prediction of the performance and aerodynamic loss of axial flow impulse turbine wave energy extraction, which can be easily incorporated into the turbine design program. …”
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FIRST EXIT POLL IN SERBIA: THE CASE OF VOŽDOVAC by Unknown

“…The collected data provided the evidence of a very accurate prediction. Beside the prediction of election results, we collected demographic data, as well as data of the timing of the making the decision to vote. …”
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Integrated Three-Dimensional Structural and Petrophysical Modeling for Assessment of CO2 Storage Potential in Gas Reservoir by Syed Yasir Ali Shah, Jiangfeng Du, Sayed Muhammad Iqbal, Linze Du, Umair Khan, Baoyi Zhang, Jingqiang Tan

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Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model by Ganlin Wu, Ganlin Wu, Yanli Ye, Meirong Xu, Yanxia Zhang, Zuopeng Lu, Lv Huang

“…The C-index of the nomogram risk prediction model in predicting acute kidney injury in diabetic nephropathy is 0.768 (95% CI: 0.663-0.806), and the calibration curve tends to the ideal curve; the prediction threshold is >0.18, and the nomogram risk prediction model provides a clinical net benefits, and clinical net benefits were higher than independent predictors.ConclusionThe establishment of a nomogram model for acute kidney injury in elderly patients with diabetic nephropathy based on age, ACR, CysC, LVEF, and eGFR has a good predictive effect, which can help doctors more accurately assess the patient’s condition and provide a basis for formulating personalized treatment plans.…”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…Multiple ML models were constructed and optimized, with the convolutional neural network (CNN) model achieving the highest prediction accuracy at 99%. Gradient-weighted class activation mapping (Grad-CAM) was used to highlight important regions in the images for prediction. …”
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Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method by Jiajie Zhen, Ming Huang, Shuang Li, Kai Xu, Qianghu Zhao

“…Accurate prediction of shield machine position and attitude is crucial for ensuring the quality of tunnel construction. …”
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Artificial Intelligence and Postpartum Hemorrhage by Sam J Mathewlynn, Mohammadreza Soltaninejad, Sally L Collins, Yang Pan

“…Incorporating uterine contractility metrics and radiomics into predictive models offers new avenues for enhancing prediction accuracy. …”
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Immunoinfiltration Analysis of Mitochondrial Damage‐Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine... by Jirong Zhang, Lin Lin

“…ML models were constructed for classification and prognosis prediction, and validated in an independent Gene Expression Omnibus (GEO) dataset. …”
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Analysis and Risk Assessment of Corporate Financial Leverage Using Mobile Payment in the Era of Digital Technology in a Complex Environment by Wenjing Wei, Bingxiang Li

“…The financial risk prediction model is established using the financial text, and the LSTM + attention mechanism is used to optimize the model. …”
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The clinical application of artificial intelligence in cancer precision treatment by Jinyu Wang, Ziyi Zeng, Zehua Li, Guangyue Liu, Shunhong Zhang, Chenchen Luo, Saidi Hu, Siran Wan, Linyong Zhao

“…In specific fields, including target prediction, targeted drug generation, immunotherapy response prediction, neoantigen prediction, and identification of long non-coding RNA, artificial intelligence offers promising perspectives. …”
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Time Series Analysis of Production Decline in Carbonate Reservoirs with Machine Learning by Liqiang Wang, Mingji Shao, Gen Kou, Maoxian Wang, Ruichao Zhang, Zhengzheng Wei, Xiao Sun

“…Through model validation and comparative analysis of prediction effects, it was proven that the EP-GEP model exhibited good prediction accuracy, and the average relative error was significantly smaller than those of the traditional Arps model and existing machine learning methods. …”
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Identification of a Robust Five-Gene Risk Model in Prostate Cancer: A Robust Likelihood-Based Survival Analysis by Yutao Wang, Jiaxing Lin, Kexin Yan, Jianfeng Wang

“…In this paper, we aimed to develop and validate a risk prediction method using independent prognosis genes selected robustly in prostate cancer. …”
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ASA score is an independent predictor of 1-year outcome after moderate-to-severe traumatic brain injury by Olivia Kiwanuka, Philipp Lassarén, Alexander Fletcher-Sandersjöö, Charles Tatter, Jonathan Tjerkaski, David W. Nelson, Eric P. Thelin

“…Incorporating this simple comorbidity measure could enhance outcome prediction and support more personalized acute management. …”
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