Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization by Xiaozhu Chen

“…In order to improve the precision of data analysis, random forests, support vector machines, and neural network machine learning algorithms were applied, and the variance analysis was used to calculate and compare the emotional differences of different genders and academic backgrounds in different grades. …”
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Performance Evaluation of FPGA-Based Design of Modified Chua Oscillator by Filips Capligins, İsmail Koyuncu, Anna Litvinenko, Muhammed Furkan Taşdemir

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GPU Accelerating Algorithms for Three-Layered Heat Conduction Simulations by Nicolás Murúa, Aníbal Coronel, Alex Tello, Stefan Berres, Fernando Huancas

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Evaluation of different in silico tools for the assessment of deleterious variants in acute myeloid leukemia by Wardah Qureshi, Muhammad Irfan, Ishtiaq Ahmad Khan, Muhammad Shakeel

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Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue by Paweł Kamiński, Aleksander Gali, Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski, Marcin Kociołek, Elżbieta Pociask, Joanna Kwiecień, Karolina Nurzyńska

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Using Unmanned Aerial Systems Technology to Characterize the Dynamics of Small-Scale Maize Production Systems for Precision Agriculture by Andrew Manu, Joshua McDanel, Daniel Brummel, Vincent Kodjo Avornyo, Thomas Lawler

“…The Jenks natural breaks algorithm classified maize rasters into low, medium, and high differential yield zones (DYZs). …”
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Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms by Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen

“…This paper develops chiller plant models in OpenAI Gym environments to evaluate different RL algorithms for optimizing condenser water loop control. …”
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning by SONG Yanjie, LIU Yingjie, TANG Xiaomin, ZHANG Zhaoqian

“…Therefore, the ensemble learning model based on Stacking algorithm is the most effective method for calculating the total organic carbon content in the study area, which lays the foundation for accurately evaluating the hydrocarbon generation potential of shale oil reservoirs, ensuring efficient exploitation and resource utilization of shale oil reservoirs.…”
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Evaluation of the Vitros® Anti-T. cruzi assay for its incorporation into the Trypanosoma cruzi infection diagnostic algorithm by Miriam Campos-Ruiz, Jun Hao Wang-Wang, Belén Rivaya, Beatriz Rodriguez-Ponga, Noelia López, Victoria González, Pere-Joan Cardona, Gema Fernández-Rivas

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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

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Evaluation Method for Running State of Electricity Meters Based on Random Matrix Theory and Clustering Algorithm by Yingying CHENG, Jie DU, Quan ZHOU, Jiaming ZHANG, Xiaoyong ZHANG, Gang LI

“…With the expansion of intelligent distribution network and the increasing complexity of power grid structure, the amount of data in power system increases rapidly, and new challenges rise from the checking and monitoring evaluation of power equipment. Based on the principle of big data mining analysis, this paper proposes a method based on random matrix theory and clustering algorithm to evaluate the running state of electric energy meter. …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

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Performance Evaluation of Magnetic Wireless Sensor Networks Algorithm for Traffic Flow Monitoring in Chaotic Cities by Haji Said Fimbombaya, Nerey H. Mvungi, Ndyetabura Y. Hamisi, Hashimu U. Iddi

“…The model magnetic wireless sensor networks algorithm for local Earth’s magnetic field performance was evaluated through simulation using Dar es Salaam City traffic flow conditions. …”
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Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor

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Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring by Michal Bechny, Luigi Fiorillo, Julia van der Meer, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Francesca Faraci

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Evaluation of Cultural Value Validity of Digital Media Art Based on Locally Weighted Fitting Algorithm by Yuelin Wu, Donghong Li, Fan Feng

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Performance evaluation on extended neural network localization algorithm on 5 g new radio technology by Deebalakshmi R, S Markkandan, Vinodh Kumar Arjunan

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Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks by LI Fang-min1, HAN Ping1, LUO Ting2

“…First, the shortcoming of existing location algorithm based on RSSI（received signal strength indication） in WSN（wireless sensor network） was analyzed.Then, supported by plenty of experimental data in different time and space, the distance evaluation model combining with packet lost rate and RSSI which aim at real environment and location algorithm based on this model was provided.It was regarded as a new kind of exploration for research of wireless location.Location experiments were used to evaluate the capability of this algorithm, which proves that WSN nodes running this algorithm can normally work and precision and stability are upper.…”
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CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

“…Four mainstream machine learning algorithm training models, namely, support vector machine (SVM), k-nearest neighbour (kNN), light gradient boosting (LightGBM) and logistic regression (LR), were constructed to determine the best classifier model. …”
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Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks by LI Fang-min1, HAN Ping1, LUO Ting2

“…First, the shortcoming of existing location algorithm based on RSSI（received signal strength indication） in WSN（wireless sensor network） was analyzed.Then, supported by plenty of experimental data in different time and space, the distance evaluation model combining with packet lost rate and RSSI which aim at real environment and location algorithm based on this model was provided.It was regarded as a new kind of exploration for research of wireless location.Location experiments were used to evaluate the capability of this algorithm, which proves that WSN nodes running this algorithm can normally work and precision and stability are upper.…”
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