Comparative Study of Some Fixed-Point Methods in the Generation of Julia and Mandelbrot Sets by Hao Zhou, Muhammad Tanveer, Jingjng Li

“…Fractal is a geometrical shape with property that each point of the shape represents the whole. Having this property, fractals procured the attention in computer graphics, engineering, biology, mathematics, physics, art, and design. …”
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Navigation of the spraying robot in jujube orchard by Yufeng Li, Yang Li, Jing Nie, Zeyi Li, Jingbin Li, Jianrui Gao, Zhangqi Fang

“…The system integrates IMU and LiDAR positioning information using an extended Kalman filter algorithm. The navigation system uses LiDAR to detect the orchard environment and perform SLAM mapping, while the AMCL algorithm determines the robot's position in the map using sensor localisation data. …”
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Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion-Compensated Ultrasound Localization Microscopy by Yifei Zhu, Lingyin Jiang, Qi Zhang, Jun Yin, Bingze Du, Guofeng Zhang, Haijun Zhang, Bo Ding, Han Lin, Honghui Xue, Xiasheng Guo, Xiao-Yang Zhang, Jing-Ning Zhu, Dong Zhang, Juan Tu, Ning Gu

“…Unlike traditional methods relying on observed bubble positions, the proposed algorithm combined statistical information derived from historical data with Kalman-filter-predicted positions to enable more accurate bubble localization. …”
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Perbandingan Metode Penyelesaian Permasalahan Optimasi Lintas Domain dengan Pendekatan Hyper-Heuristic Menggunakan Algoritma Reinforcement-Late Acceptance by Anang Firdaus, Ahmad Muklason, Vicha Azthanty Supoyo

“…In improving performance, this study examines the effect of the adaptation of the Reinforcement Learning (RL) algorithm as LLH selection combined with the Late Acceptance algorithm as a move acceptance. …”
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Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…The results show that: 1) multi-source data fusion significantly improved the accuracy of AGB and SPAD estimation; 2) the CatBoost algorithm achieved the highest performance for AGB estimation (R² = 0.70, RMSE = 1.59 t/hm2, NRMSE = 13.94 %), while the LightGBM algorithm performed best for SPAD estimation (R² = 0.60, RMSE = 2.33, NRMSE = 14.53 %); and 3) The PSTS established based on the optimal estimation data exhibits a strong consistency with the ground-measured data. …”
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Estimation of gas hydrate and free gas saturation using the rock physics model based on constrained least squares and trust region method in the Shenhu Area, South China Sea by Dajiang Meng, Dajiang Meng, Ruwei Zhang, Ruwei Zhang, Yuan Gu, Yuan Gu, Baojin Zhang, Baojin Zhang, Yunqian Lu, Yunqian Lu, Jiangnan Lin, Jiangnan Lin, Lijie Wang, Lijie Wang

“…Additionally, the application results indicate that the trust region algorithm demonstrates favorable global convergence.…”
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Algoritma Jaro-Winkler Distance: Fitur Autocorrect dan Spelling Suggestion pada Penulisan Naskah Bahasa Indonesia di BMS TV by Agung Prasetyo, Wiga Maulana Baihaqi, Iqbaluddin Syam Had

“…The development software method that is used is Extreme Programming dan Jaro-Winkler Distance algorithm. Jaro-Winkler is an algorithm that is applied to calculate the distance of proximity between two texts. …”
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Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma by Suling Zhuang, Xiaobo Wu, Xiaobo Wu, Xiaobo Wu, Xiaohuang Lin, Zhihan Li, Di Gan, Shixin Wang, Xue Lin, Gongbiao Lin, Gongbiao Lin, Gongbiao Lin, Miao Gao, Miao Gao, Miao Gao

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.ResultsThe in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”
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Protocol for a randomized and a non-randomized controlled trial testing Daily Growth: a personalised ‘ecological momentary intervention’ parenting app for parents and carers of chi... by Elizabeth M. Westrupp, Maria Bates, Kelsie J. Bufton, Tomer B. Berkowitz, Melody Popple, Gabriella L. King, Sara Jones, Jem Stone, Joost J. C. Funke Kupper, John W. Toumbourou, Chandan Karmakar, Sophie S. Havighurst, Christiane E. Kehoe, Maia Angelova, Melissa O’Shea, Leslie Tarrant, Lisa S. Olive, Subhadra Evans, Stefanie Ewald, Julia M. Mikocka, Keri Little, Kylie D. Hesketh, Matthew Fuller-Tyszkiewicz

“…The first trial will evaluate the app’s effectiveness as implemented in a real-world community-based trial, while the second will develop and test a machine learning system for personalising support based on Trial 1 data. …”
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Finding New Hot Subdwarf Stars in SDSS Images by Jiangchuan Zhang, Yude Bu, Huili Wu, Yuhang Zhang, Shanshan Li, Zhenxin Lei, Zhenping Yi, Xiaoming Kong, Meng Liu

“…Most of the candidates have distances of 1.5 ∼ 7.5 kpc, while some candidates can be as far as 20 kpc or even more. …”
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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…This study synergized the strengths of RTM and machine learning algorithm while overcoming the limitations of RTM parameterization and generalization, providing an efficient and robust Landsat FAPAR estimation approach. …”
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Evaluation of drug-drug interaction between Suraxavir Marboxil (GP681) and itraconazole, and assessment of the impact of gene polymorphism by Mai Han, Gang Cui, Yan Zhao, Xianbo Zuo, Xiaoxue Wang, Xin Zhang, Na Mi, Jiangli Jin, Chunyan Xiao, Jing Wang, Wei Wu, Yajuan Li, Jintong Li

“…Using random forest algorithm, we estimated effects of cytochrome P450 enzymes followed the order of CYP 3A4 > CYP 1A2 > CYP 2C19. …”
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Feasibility of automating the determination of changes in forest areas using satellite images (Case Study: Central Alborz protected area) by Amir Satari Rad, Behzad Rayegani, Ali Jahani, Hamid Goshtasb Meigooni

“…The 16-day NDVI images were converted to monthly images with the maximum value algorithm and the PCA algorithm with 25 components was applied to them to eliminate errors and noise. …”
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Development and evaluation of a soft pneumatic muscle for elbow joint rehabilitation by Mostafa Orban, Mostafa Orban, Mostafa Orban, Kai Guo, Kai Guo, Caijun Luo, Caijun Luo, Hongbo Yang, Hongbo Yang, Karim Badr, Karim Badr, Mahmoud Elsamanty, Mahmoud Elsamanty

“…The algorithm achieved a high predictive accuracy of 99.8% in spatial coordination tracking, indicating the precision of the system in monitoring and controlling the actuator’s motion.…”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…Through illumination adjustment while suppressing noise, images with uniform illumination and clear textures were obtained. …”
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Inverse Dynamic Parameter Identification for Remote Sensing of Soil Moisture From SMAP Satellite Observations by Runze Zhang, Adam Watts, Mohamad Alipour

“…This study aims to derive dynamic, pixel-scale <italic>h</italic> and &#x03C9; parameters specifically for the SMAP single-channel algorithm (SCA) and the regularized dual-channel algorithm (RDCA). …”
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Deep learning reconstruction in biparametric prostate MRI: Impact on qualitative and radiomics analyses by Jérémy Dana, Evan McNabb, Juan Castro, Ibtisam Al-Qanoobi, Yoshie Omiya, Kenny Ah-Lan, Véronique Fortier, Giovanni Artho, Caroline Reinhold, Simon Gauvin

“…Conclusion: Radiomics features were significantly different on DLR images which should encourage caution for clinical and research purposes. DLR algorithm decreases noise while preserving overall image quality.…”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…Thirdly, to fully leverage the advantages of XGBoost in handling nonlinear relationships and high-dimensional data while overcoming its complexities in parameter tuning and slower convergence, the GA is used to optimize the parameters of XGBoost. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”
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Designing of Loss Optimum Regulator for Control of D.C. Electric Drive with Varying Inertia Moment in CoDeSys Programming System by S. O. Novikov, A. V. Paschenko

“…The given software is the most suitable for simulation and development of control system algorithms and execution of semi-full-scale tests without involvement of an actual object. …”
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