Optimal Parameter Extraction of PEM Fuel Cell Using a Hybrid Weighted Mean of Vectors and Nelder-Mead Simplex Method by Rahul Khajuria, Mahipal Bukya, Ravita Lamba, Rajesh Kumar

“…Accurate modeling is an important aspect for a reliable design, control and optimization of proton exchange membrane (PEM) fuel cell. …”
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Comparing vector and human surveillance strategies to detect arbovirus transmission: A simulation study for Zika virus detection in Puerto Rico. by Zachary J Madewell, Ryan R Hemme, Laura Adams, Roberto Barrera, Stephen H Waterman, Michael A Johansson

“…<h4>Methods</h4>We developed a simulation model for mosquito and human surveillance strategies and simulated different transmission scenarios with varying infection rates and mosquito trap densities. …”
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Discrimination of Chinese prickly ash origin place using electronic nose system and feature extraction with support vector boosting machine by Junbo Lian, Peng Wu, Wenhui Han, Yaping Xie, Yue Zheng, Yuxuan Xu, Xinlin Li, Guofeng Hou, Chengxiang Yong, Qi Lv, Qiansheng Ye, Guohua Hui

“…The hyperparameters of the model were optimized using the Harris Hawk optimization algorithm. …”
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Pulse‐level work state recognition of multifunction radar based on MC‐RSG by Zijun Qin, Wenjuan Ren, Zhanpeng Yang, Xian Sun

“…Besides, we make use of the model called RSG containing the residual block with spatial attention connected gated recurrent unit to learn the features of pulse sequences and identify the radar work state label of each pulse. …”
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Research on Intelligent Classification of Service Hotline Work Orders Based on Semantic Recognition by MAO Xiaolei

“…Using such library as a domain dictionary, an intelligent text classification model based on distributed text vector representation and integrating the Transformer self-attention mechanism is constructed. …”
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Work Place Safety: Machine Learning Techniques for Assessing Workplace Incident Severity by Munayr Hasan Khalleefah Hassan, Wagdi M. S. Khalifa

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Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites by Mamdouh I. Elamy, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A. Fathy, M. Elmahdy

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Enhanced streamflow prediction with SWAT using support vector regression for spatial calibration: A case study in the Illinois River watershed, U.S. by Lifeng Yuan, Kenneth J Forshay

“…To improve the accuracy of monthly streamflow prediction, a seasonal Support Vector Regression (SVR) model coupled to the Soil and Water Assessment Tool (SWAT) model was developed for 13 subwatersheds in the Illinois River watershed (IRW), U.S. …”
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Some fixed point results with the vector degree of nondensifiability in generalized Banach spaces and application on coupled Caputo fractional delay differential equations by Laksaci Noura, Hasan Fady, Boudaoui Ahmed, Mustafa Zead, Shatanawi Wasfi

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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…This was 35.56%, 37.41%, and 32.03% lower than the random forest, support vector machine, and neural network models, respectively. …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

“…In response to the challenging task of fault feature classification in the current working conditions of pumping units，which results in poor adaptability and low recognition rate of the established diagnosis model. …”
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A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms by S. Malathi, A. Shenbagavalli, N. Sriraam

“…To solve the problem of data scarcity, the model is worked out with datasets at various augmentation level and their performance is compared. …”
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Effective Approach to Use Artificial Intelligence for Detecting Different Faults in Working Electrical Machines by Seyed Hamid Rafiei, Mansoor Ojaghi, Mahdi Sabouri

“…Then, for every fault condition, some fault indices are extracted from the stator line current and used to arrange and train a suitable support vector machine (SVM) model to detect and discriminate the fault condition. …”
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Possible Operation Modes of Moldovan, Ukrainian and Romanian Electrical Power Systems Joint Work by Postolati V., Bykova E., Berzan V., Boshneaga V., Suslov V., Radilov T.

“…Types of intersystem controlled tie-lines, that may allow the joint work of power systems of Moldova, Ukraine and Romania, are proposed in this paper. …”
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Long read sequencing reveals transgene concatemerization and vector sequences integration following AAV-driven electroporation of CRISPR RNP complexes in mouse zygotes by Muhammad W. Luqman, Muhammad W. Luqman, Piroon Jenjaroenpun, Jessica Spathos, Nikhil Shingte, Mitchell Cummins, Mitchell Cummins, Pattaraporn Nimsamer, Lars M. Ittner, Thidathip Wongsurawat, Fabien Delerue

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THE STUDY OF THE AUTONOMOUS SYNCHRONOUS GENERATOR MODES by V. S. Safaryan

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A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks by Imran Khan, Muhammad Rauf, Atif Jamil

“…Simulations show that the CT-DEWCA model outperforms conventional Vector-Based Forwarding (VBF), Hop-by-Hop Vector-Based Forwarding (HH-VBF), Depth-Based Routing (DBR), and, with recent work, Energy-Efficient Artificial Fish Swarm-based Clustering Cognitive Intelligence Protocol (EAFSCCIP). …”
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Automatic diagnosis of lower back pain using gait patterns by Chandrasen Pandey, Neeraj Baghel, Malay Kishore-Dutta, Carlos M. Travieso González

“…It involves support vector machines that classify between lower back pain and normal, on the bases of 3 Gait patterns that are integrated pressure, the direction of progression, and CISP-ML. …”
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The Most Important Measures in Reducing Infection Control in the Anesthesia Work Environment: An Evidence-Based Study by Younes Barazesh, Parisa Moradimajd, Azam Saei, Jamileh Abolghasemi, Mohammad-Mahdi Azizi-Darbandi

“… Background: Anesthesia providers cross-contaminate their work environment. The hands of anesthesia providers are vectors for the transmission of infection between medical equipment in the anesthesia work environment and patients. …”
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The Impacts of Magnetogram Projection Effects on Solar Flare Forecasting by Griffin T. Goodwin, Viacheslav M. Sadykov, Petrus C. Martens

“…This work explores the impacts of magnetogram projection effects on machine-learning-based solar flare forecasting models. …”
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