Phylogenetic Analysis and Spread of HPAI H5N1 in Middle Eastern Countries Based on Hemagglutinin and Neuraminidase Gene Sequences by Laith N. AL-Eitan, Diana L. Almahdawi, Iliya Y. Khair

“…This study traced transmission pathways of HPAI A/H5N1 through a phylogenetic and amino acid sequence analysis of HA and NA gene segments from isolates across different hosts in Middle Eastern countries, using the MUSCLE algorithm for alignments and MEGA11 software for phylogenetic analysis. …”
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Optimal Economic Dispatch Strategy for Cascade Hydropower Stations Considering Electric Energy and Peak Regulation Markets by Fan Liu, Wentao Huang, Jingjing Ma, Jun He, Can Lv, Yukun Yang

“…The objective function takes into account the generation capacity of the cascade hydropower stations, the benefits of the EEM, the influence of the spot market, the compensatory benefits of peaking, and the sharing expenses of peaking; secondly, the constraints at the level of the power grid, the level of the cascade hydropower stations, and the level of the market are taken into account comprehensively, and the Harris Hawk Algorithm is used to solve the model; lastly, by comparing different schemes, it is observed that under varying inflow conditions, the proposed dispatch strategy in this paper yields slightly lower revenue in the EEM than other schemes. …”
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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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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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AI-BASED RESUME SKILLS EXTRACTOR AND RECOMMENDER MODULES FOR STATE UNIVERSITY HUMAN RESOURCE ANALYTICS SYSTEM by Paul Nigel S. Abalos, Thelma D. Palaoag

“…Meanwhile, significant mean accuracy differences of 4.28% in skills recommendations and 5.38% in job recommendations, respectively, were measured between the 2 algorithms in favor of the CBF algorithm.…”
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Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

“…Taken and spatial modeling of two pollutants using CNN has been done. The evaluation of the model was done using different evaluation criteria, and the findings showed that the R-squared (R2) values in this model for PM2.5 and PM10 pollutants are 0.889 and 0.972, respectively. …”
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Risk Assessment of Constructing Deep Foundation Pits for Metro Stations Based on Fuzzy Evidence Reasoning and Two-tuple Linguistic Analytic Network Process by Jie Jiang, Guangyang Liu, Xi Huang, Xiaoduo Ou

“…Finally, the overall risk grade of the construction project is evaluated by aggregating the risk levels of all risk events through an evidence-reasoning algorithm. …”
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