Comparison of Nonlinear Functions to Define the Growth in Intensive Feedlot System with XGBoost Algorithm by Demet Çanga Boğa, Mustafa Boğa, Cem Tırınk

“…In this study, the parameters in the best prediction model were calculated individually and the relationship of these parameters with body weight was evaluated with the XGBoost algorithm. …”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

“…To address this challenge, we propose an efficient Livestock Network (LSNET) algorithm, a novel YOLOv7-based network. Our approach incorporates a low-level prediction head (P2) to detect small objects from shallow feature maps, while removing a deep-level prediction head (P5) to mitigate the effects of excessive down-sampling. …”
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

“…In select datasets, it outperformed several state-of-the-art optimization algorithms. However, due to the absence of additional dimensionality reduction techniques, the number of selected genes remains relatively high. …”
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POLYCLINICS PHYSICIAN EDUCATION — IN THE CENTER OF A PROBLEMATIC TRIANGLE by A. L. Vertkin

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Vibration Control of Buildings Using Magnetorheological Damper: A New Control Algorithm by Aly Mousaad Aly

“…A magnetorheological (MR) damper is placed in the building between the first floor and ground for seismic response reduction. A new control algorithm to command the MR damper is proposed. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…Future work might investigate the integration of MAD-index-sort with other advanced cache management techniques, such as predictive caching algorithms or hybrid data structures, to further elevate performance. …”
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ECG Signal Classification Using Interpretable KAN: Towards Predictive Diagnosis of Arrhythmias by Hongzhen Cui, Shenhui Ning, Shichao Wang, Wei Zhang, Yunfeng Peng

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Motion estimation algorithm using 2 bit-depth pixel and fuzzy quantization by Chuan-ming SONG, Yan-wen GUO, Xiang-hai WANG, Dan LIU

“…To further predict the precision of the proposed algorithm, a bit resolution reduction error-motion vector precision model was built by exploiting the auto-correlation function. …”
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VF-CART: A communication-efficient vertical federated framework for the CART algorithm by Yang Xu, Xuexian Hu, Jianghong Wei, Hongjian Yang, Kejia Li

“…During the prediction stage, only one ciphertext must be transmitted to predict a sample. …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…This study focuses on integrating swarm intelligence feature selection algorithms (including whale optimization algorithm, cuckoo search algorithm, flower pollination algorithm, Harris hawk optimization algorithm, particle swarm optimization algorithm, and genetic algorithm) with machine learning technology to improve the early diagnosis of cardiovascular disease. …”
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PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building Footprint Extraction by Longjie Luo, Jiangchen Cai, Bin Feng, Liufeng Tao

“…This paper proposes an end-to-end polygon dynamic adjustment algorithm (PDAA) to improve the accuracy and geometric consistency of building contour extraction by dynamically generating and optimizing polygon vertices. …”
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Wiener LMS channel estimation and tracking algorithm for OFDM systems with transmitter diversity by BAI Bin-feng1, CAI Yue-ming1, XU Xin1

“…The algorithm used Wiener prediction technology to improve the ability of tracking channel. …”
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S-Vivaldi:a space repairing based Internet delay space embedding algorithm by Zhan-feng WANG, Ming CHEN, Chang-you XING, Hua-li BAI, Xiang-lin WEI

“…To counteract TIV’s influence on the Internet delay space models,an Internet delay space embedding algorithm based space repairing S-Vivaldi (scaling-Vivaldi) was proposed.S-Vivaldi firstly applied an exponent transformation on the delay matrix D,retrieved a matrix D'almost without TIV,and then embedded D'by the Vivaldi algorithm.The delay between any two nodes could be computed by a series of inverse transformation.Experimental results show that S-Vivaldi could improve the prediction accuracy apparently in the most case.…”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…Additionally, the frequent switching of algorithms poses challenges in fully leveraging the performance of individual algorithms. …”
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Link quality prediction based on random forest by Linlan LIU, Shengrong GAO, Jian SHU

“…Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication efficiency.The Gaussian mixture model algorithm based on unsupervised clustering was employed to divide the link quality level.Zero-phase component analysis (ZCA) whitening was applied to remove the correlation between samples.The mean and variance of signal to noise ratio,link quality indicator,and received signal strength indicator were taken as the estimation parameters of link quality,and a link quality estimation model was constructed by using a random forest classification algorithm.The random forest regression algorithm was used to build a link quality prediction model,which predicted the link quality level at the next moment.In different scenarios,comparing with exponentially weighted moving average,triangle metric,support vector regression and linear regression prediction models,the proposed prediction model has higher prediction accuracy.…”
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Proton Range Measurement Precision in Ionoacoustic Experiments with Wavelet-Based Denoising Algorithm by Elia Arturo Vallicelli, Andrea Baschirotto, Lorenzo Stevenazzi, Mattia Tambaro, Marcello De Matteis

“…Then, the WTDA was applied to the simulated signals from a 200 MeV clinical beam where, compared to state-of-the-art algorithms, it achieved a −80% dose reduction when achieving the same 30 μm precision and a six-fold precision improvement for the same 17 Gy dose deposition.…”
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Calculation Algorithm for Diffraction Losses of Multiple Obstacles Based on Epstein–Peterson Approach by Ahmad S. Abdulrasool, Jabir S. Aziz, Sadiq J. Abou-Loukh

“…The proposed algorithmic procedure to model the diffracting can be integrated with other propagation mechanisms in ray-tracing for the prediction of received signal level in non-line-of-sight environments. …”
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Deep learning for predicting the occurrence of tipping points by Chengzuo Zhuge, Jiawei Li, Wei Chen

“…Here, we address this challenge by developing a deep learning algorithm for predicting the occurrence of tipping points in untrained systems, by exploiting information about normal forms. …”
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Research on Simplified Design of Model Predictive Control by Qing Zhang, Chi Zhang, Qi Wang, Shiyun Dong, Aoqi Xiao

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Slipping Trend Prediction Based on Improved Informer by Jingchun Huang, Sheng He, Haoxiang Feng, Yongjiang Yu

“…The transformer-based Informer algorithm performs well in time series prediction and analysis. …”
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