Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…Interpretation: Using non-invasive factors and machine learning algorithms can accurately predict the occurrence of colorectal polyps in individuals with positive initial screening results. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

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Fetal health classification with predictive algorithm by using Ensemble Model by Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash

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ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

“…It is necessary to study more effective control algorithm in ATO system. As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. …”
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Predictive algorithm for COVID-19 infection risk in indoor environments by Chiara Rucco, Prisco Piscitelli, Antonella Longo, Ali Aghazadeh Ardebili, Alessandro Miani, Enrico Greco

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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…Furthermore, dynamic network link prediction algorithms are classified into regular sampling and irregular sampling by the method of network sampling. …”
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Comparative analysis of boosting algorithms for predicting personal default by Nhat Nguyen, Duy Ngo

Subjects: “…Personal default prediction…”
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Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents by Ulla Sovio, Aine Skow, Catherine Falconer, Min Hae Park, Russell M. Viner, Sanjay Kinra

“…We discuss the use of MetS scores and algorithms in an attempt to predict later cardiometabolic risk in children and adolescents and offer suggestions for developing clinically useful algorithms in this population. …”
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Water Quality Prediction Using Artificial Intelligence Algorithms by Theyazn H. H Aldhyani, Mohammed Al-Yaari, Hasan Alkahtani, Mashael Maashi

“…In this work, advanced artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and water quality classification (WQC). …”
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COMBINED NOISE AND ACOUSTIC FEEDBACK REDUCTION ALGORITHM BASED ON SPECTRAL WEIGHTING RULES FOR SMARTPHONE HEARING AID by M. I. Vashkevich, E. S. Azarov, A. A. Petrovsky

“…The paper presents a combined noise and acoustic feedback reduction algorithm. The algorithm is based on spectral subtraction and is robust to rapid changes in acoustic feedback path which makes it suitable for using in a smartphone-based hearing aid.…”
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Appropriate Combination of Artificial Intelligence and Algorithms for Increasing Predictive Accuracy Management by Shahram Gilani Nia

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Resolving the Credibility Crisis: Recommendations for Improving Predictive Algorithms for Clinical Utility by Stephen Ruberg, Sandeep Menon, Charmaine Demanuele

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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm by Subhajit Das, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Seyedali Mirjalili

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Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm by Kenneth Christopher Ugwoke, Nnanna Nwojo Agwu, Saleh El-Yakub Abdullahi

“…Simulation environments, each with varying complexity in obstacle arrangement, were designed for various simulations of the proposed algorithm. A Python-based computer simulation program was implemented and used to simulate the KNS, APF, and a similar waypoint reduction algorithm -Ramer-Douglas-Peucker (RDP) and the results were analyzed. …”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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A Heuristic Attribute-Reduction Algorithm Based on Conditional Entropy for Incomplete Information Systems by Yanling Bao, Shumin Cheng

Subjects: “…attribute reduction…”
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Design of the Equivalent Stiffness in the 3-PCR Vibration Reduction Platform based on Genetic Algorithm by Zheng Liangchen, Niu Junchuan, Zhang Fuliang, Liu Zhihui

“…The equivalent stiffness of vibration reduction platform in engineering application can be realized by using this design method. …”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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Game simulators as educational tools for developing algorithmic thinking skills in computer science education by Maksym S. Kovtaniuk, Svitlana V. Shokaliuk, Alexander N. Stepanyuk

“… This paper presents an analysis of game simulators as educational tools for developing algorithmic thinking skills in computer science education. …”
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Exploring the Impact of Predictive Analytics and AI in STEM Education by Tai Ki Kim

“…Predictive analytics, leveraging vast datasets including academic performance, engagement metrics, and demographic variables, allows educators to identify at-risk students early and implement targeted interventions. …”
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