Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting by V. V. Nikitin, D. V. Bobin

“…It will rely on the rule of agreed upon data change. Therefore, the algorithm for predictive evaluation of a particular indicator is presented in a form that will be convenient for building and practical use of this rule in the future. …”
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Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery by Jiamuyang Zhao, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, Qingzhen Zhu

“…This helps improve the algorithm’s fast generalization ability across different crop types, climates, and geographical regions, ensuring the smart agricultural machinery system has broad adaptability and robustness and accelerating its application in various agricultural settings. …”
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K-Means Clustering of Social Studies Performance at Junior High School by Tundo, Syifa Raihanah, Tri Wahyudi, Sugiyono

“…The main issues include the underutilization of technology, the absence of an appropriate evaluation system for different levels of student ability, and ineffective methods for grouping students. …”
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Assessment of Hull and Propeller Degradation Due to Biofouling Using Tree-Based Models by Nikos Themelis, George Nikolaidis, Vasilios Zagkas

“…The power prediction models are data-driven based on machine learning algorithms. The process includes feature engineering, filtering, and data smoothing, while an evaluation of regression algorithms of the decision tree family is performed. …”
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An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

“…The experiments verified enhancements of flexibility, technical tools, and data visualization features employed to process the collected data from different aspects; therefore, the proposed approach demonstrates a simple case study to enhance the evaluation requirements of the proposed technique. …”
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Research on Machine Learning-Based Extraction and Classification of Crop Planting Information in Arid Irrigated Areas Using Sentinel-1 and Sentinel-2 Time-Series Data by Lixiran Yu, Hongfei Tao, Qiao Li, Hong Xie, Yan Xu, Aihemaiti Mahemujiang, Youwei Jiang

“…The research findings are as follows: (1) The RF classification algorithm outperforms CART and SVM algorithms in terms of classification accuracy, achieving an overall accuracy (OA) of 0.84 and a kappa coefficient of 0.805. (2) The cropland area classified by the RF algorithm exhibited a high degree of consistency with statistical yearbook data (R² = 0.82–0.91). …”
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Visualization of IOL Material-Induced Changes in Retinal Color Stimulus by Stephan Reiss, Karsten Sperlich, Martin Kunert, Rudolf F. Guthoff, Heinrich Stolz, Anselm Jünemann, Oliver Stachs

“…To visualize the influence of the different spectral transmittance characteristics an algorithm was developed, which converts RGB-pixel values of images into spectra, which performs the corresponding transmittance correction, reconverts to RGB, and reconstructs the image. …”
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Foreshock migration preceding the 2016 Mw 7.0 Kumamoto earthquake, Japan by Aitaro Kato, Jun'ichi Fukuda, Shigeki Nakagawa, Kazushige Obara

“…To more precisely characterize the evolution of the earthquake sequences, we applied a matched filter technique to continuous waveform data, using template events obtained via a double‐difference relocation algorithm. …”
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Comportamiento microestructural de una aleación TI - 6 AL - 4 V empleada en pulpa lixiviada//Behaviour microstructure of an alloy TI - 6 AL - 4 V used in leached pulp by Rodney E. Correa‐Suárez, Tomás Fernández-Columbié, Isnel Rodríguez‐González, Dayanis Alcántara‐Borges

“…In the generation of populations of possible solutions, using an<br />algorithm based on the method of integration variables, in addition is made comparing the results obtained by the proposed method with other results generated by procedures developed by different authors, achieving improved use.…”
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Compression Sensing Satellite Image Pixel Scrambling Scheme using Unique Seed Generation for Intra-Block Confusion with LP Rotation Mechanism by Ram Chandra Barik, Devendra Kumar Yadav, Pragyan Mishra

“…Empirical validation of the model includes differential attack analysis, correlation analysis, entropy analysis, and comparative evaluation with recent state-of-the-art algorithms, demonstrating its superior efficacy in ensuring secure and efficient satellite image encryption.…”
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Signatures of Six Autophagy‐Related Genes as Diagnostic Markers of Thyroid‐Associated Ophthalmopathy and Their Correlation With Immune Infiltration by Qintao Ma, Yuanping Hai, Jie Shen

“…Six DSGs were identified by three algorithms. They were validated in another independent validation dataset. …”
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MODERN CAPABILITIES OF BREAST PATHOLOGY DIAGNOSTICS by I. V. Vysotskaya, N. V. Zabolotskaya, V. P. Letyagin, K. P. Laktionov, K. A. Chubarova, N. V. Levkina

“…Choice of appropriate tactics of treatment depends on the timely diagnosis and correct assessment of the prevalence of cancer.The algorithm of patient»s examination includes clinical examination, X-ray mammography and ultrasonic diagnosis of breast. …”
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Identifying and Validating an Acidosis-Related Signature Associated with Prognosis and Tumor Immune Infiltration Characteristics in Pancreatic Carcinoma by Pingfei Tang, Weiming Qu, Dajun Wu, Shihua Chen, Minji Liu, Weishun Chen, Qiongjia Ai, Haijuan Tang, Hongbing Zhou

“…We attempted to develop an acidosis-related index (ARI) signature to improve the prognostic prediction of pancreatic carcinoma (PC). Methods. Differential gene expression analyses of two public datasets (GSE152345 and GSE62452) from the Gene Expression Omnibus database were performed to identify the acidosis-related genes. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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A Dynamic Monitoring Framework for Spring Low-Temperature Disasters Affecting Winter Wheat: Exploring Environmental Coercion and Mitigation Mechanisms by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Jianying Yang, Fengyin Zhang, Rui Kong, Yi Wang, Yuxin Huo

“…Subsequently, using the XGBoost algorithm to analyze the differences between spring frost and cold damage patterns, a model for identifying types of spring LTDs was developed. …”
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A multi-image steganography: ISS by Shihao Zhang, Yanhui Xiao, Huawei Tian, Xiaolong Li

“…Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. …”
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Discriminator guided visible-to-infrared image translation by Decao Ma, Juan Su, Yong Xian, Shaopeng Li

“…The experimental results show that compared to the existing typical infrared image generation algorithms, the proposed method can generate higher-quality infrared images and achieve better performance in both subjective visual description and objective metric evaluation, and that it has better performance in the downstream tasks of the template matching and image fusion tasks.…”
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Benchmarking quantum computer simulation software packages: State vector simulators by Amit Jamadagni Gangapuram, Andreas M. Läuchli, Cornelius Hempel

“…Rapid advances in quantum computing technology lead to an increasing need for software simulators that enable both algorithm design and the validation of results obtained from quantum hardware. …”
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Teaching innovation system applied in business management subjects. by Rafael Rosillo, José Ángel Miguel Dávila, Carlos Fernández Robles, Montserrat Méndez Redondo

“…The tool uses the forgetting curve algorithm to fix long-term knowledge. By this way, the final test results improve. …”
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Detection and Analysis of Malicious Software Using Machine Learning Models by Selman Hızal, Ahmet Öztürk

“…Utilizing a real-world dataset of prevalent malware types such as spyware, ransomware, and trojan horses, our study addresses the evolving challenges of cybersecurity. In this study, we evaluate the performance of ML algorithms for obfuscated malware detection using the CIC-MalMem-2022 dataset. …”
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