Partial discharge pattern recognition based on EEMD singular value entropy by Luo Riping, Luo Yingting, Lai Shiyu, Zhao Xianyang, Wang Liqi

“…The experiment results show that by comparing with the traditional EMD singular value entropy and VMD singular value entropy algorithms, the method in this paper can effectively identify the discharge type through the singular entropy values in different intervals.…”
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Method for determining of statistical characteristics of evaluated distance obtained from measurements of Doppler frequency offsets by V. V. Legkostup

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Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV-HOP algorithm for DDoS mitigation and node localization by Bhupinder Kaur, Deepak Prashar, Leo Mrsic, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem, Seada Hussen

“…The system is evaluated according to different performance measures like localization error, accuracy ratio, average localization error (ALE), probability of location, false positive rate (FPR), false negative rate (FNR), energy utilization, network stability, node failure rate, node recovery rate, and malicious node detection rate. …”
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An mRNA Vaccine for Herpes Zoster and Its Efficacy Evaluation in Naïve/Primed Murine Models by Linglei Jiang, Wenshuo Zhou, Fei Liu, Wenhui Li, Yan Xu, Zhenwei Liang, Man Cao, Li Hou, Pengxuan Liu, Feifei Wu, Aijun Shen, Zhiyuan Zhang, Xiaodi Zhang, Haibo Zhao, Xinping Pan, Tengjie Wu, William Jia, Yuntao Zhang

“…Immunogenicity was evaluated on a naïve mouse model, long-term mouse model, and VZV-primed mouse model. …”
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A cross-sectional study of evaluating cervical spondylotic myelopathy based on gait and plantar pressures by Xuhong Zhang, Zichuan Wu, Hanlin Song, Aochen Xu, Junbin Liu, Junzhe Sheng, Baifeng Sun, Min Qi, Chen Xu, Yang Liu

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Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms by Thomas Ott, Jascha Stracke, Susanna Sellin, Marc Kriege, Gerrit Toenges, Carsten Lott, Sebastian Kuhn, Kristin Engelhard

“…Cardiopulmonary resuscitation was the intervention. Participants were evaluated by video records.Primary outcome measures The difference in ‘time to ventilation through cricothyrotomy’ between the two situations was the primary outcome measure.Results The results of 40 participants were analysed. …”
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Network analytical model of tandem queuing RED and ERED by CHI Xue-fen, ZHAO Ying-ying

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TO EVALUATE THE DYNAMIC DUCTILE FRACTURE OF PIPELINE STEELS BY USING INSTRUMENTED DROP WEIGHT TEAR TEST by FANG Jian, SHEN Wei, WANG Lei

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Comparison of three algorithms for estimating crop model parameters based on multi-source data: A case study using the CROPGRO-Soybean phenological model. by Yonghui Zhang, Yujie Zhang, Haiyan Jiang, Liang Tang, Xiaojun Liu, Weixing Cao, Yan Zhu

“…The root means square error (RMSE), the mean absolute error (MAE), and coefficient of determination (R2) are used to evaluate the effects of different algorithms on calibrating the CSPs. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

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Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree... by Idris Zubairu Sadiq, Fatima Sadiq Abubakar, Muhammad Auwal Saliu, Babangida Sanusi katsayal, Aliyu Salihu, Aliyu Muhammad

“…Methods In this study, we utilized three different machine learning algorithms (boosting, random forest, and decision tree regression) to predict dyslipidemia-associated cardiovascular disease using atherogenic index and lipid profile parameters based on a cross-sectional study datasets of 112 pregnant women aged between 15 and 49 conducted at Aminu Kano Teaching Hospital. …”
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Minimizing Delay at Closely Spaced Signalized Intersections Through Green Time Ratio Optimization: A Hybrid Approach With K-Means Clustering and Genetic Algorithms by Ruti R. Politi, Serhan Tanyel

“…This study aims to model different traffic related parameters to minimize the delay of a closely spaced intersection by optimizing the green time ratio with the help of the genetic algorithm. …”
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Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

“…This research aims to present a novel data-driven predictive framework for the SS of RCDBs using an explainable ML approach and incorporating a large database compilation of 950 experimental specimens with different web reinforcement. To achieve this goal, four ensemble boosting ML algorithms, namely Gradient Boosting, HistGBoost, XGBoost, and LightGBM, were adopted for implementation. …”
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Can Different Cultivars of <i>Panicum maximum</i> Be Identified Using a VIS/NIR Sensor and Machine Learning? by Gelson dos Santos Difante, Gabriela Oliveira de Aquino Monteiro, Juliana Caroline Santos Santana, Néstor Eduardo Villamizar Frontado, Jéssica Gomes Rodrigues, Aryadne Rhoana Dias Chaves, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Luis Carlos Vinhas Ítavo, Fabio Henrique Rojo Baio, Gabriela Souza Oliveira, Carlos Antonio da Silva Junior, Vanessa Zirondi Longhini, Alexandre Menezes Dias, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…These differences can be used in classification using machine learning (ML) algorithms to differentiate biodiversity within the same species. …”
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Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients by Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

“…These methods encompassed adaptive threshold algorithms, batch processing pipelines, and image attribute extraction algorithms. …”
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Ovarian blood supply in women of reproductive age and echo-graphic evaluation of influence of subtotal hysterectomy on it by Т. V. Lescheva

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Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning by Oriana Presacan, Alexandru Dorobanţiu, Jonas L. Isaksen, Tobias Willi, Claus Graff, Michael A. Riegler, Arun R. Sridhar, Jørgen K. Kanters, Vajira Thambawita

“…Original and recreated leads were measured with a commercially available algorithm. Differences in means and variances were assessed with Student’s t-tests and F-tests, respectively. …”
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Who benefits from adjuvant chemotherapy? Identification of early recurrence in intrahepatic cholangiocarcinoma patients after curative-intent resection using machine learning algor... by Qi Li, Hengchao Liu, Yubo Ma, Zhenqi Tang, Chen Chen, Dong Zhang, Zhimin Geng

“…This study aimed to evaluate the effectiveness of machine learning algorithms in detecting early recurrence in ICC patients and select those who would benefit from ACT to improve prognosis.MethodsThe study analyzed 254 intrahepatic cholangiocarcinoma (ICC) patients who underwent curative-intent resection to identify early recurrence predictors. …”
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A Case Series of Different Cutaneous Adverse Drug Reactions Attending the Dermatology Clinic of a Tertiary Care Center by Debalina Kanjilal, Suhena Sarkar, Abanti Saha, Birupaksha Biswas, Soutrik Roy

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Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Manqi Wang, Caili Zhou, Jiaqi Shi, Fei Lin, Yucheng Li, Yimin Hu, Xuesheng Zhang

“…To intuitively evaluate the performance of the hybrid optimization algorithm, its prediction accuracy is compared with that of conventional machine learning algorithms (Random Forest, CatBoost, XGBoost, BPNN, GA–BPNN and PSO–BPNN). …”
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