An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement by Teng Li, Amin Rezaeipanah, ElSayed M. Tag El Din

“…In addition, ensemble clustering approaches are used today in complex problems due to the weakness of individual clustering methods. …”
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Vitamin-herbal flour from Rhaponticum carthamoides in the diets of dairy cows by Nikolay A. Morozkov, Lyudmila S. Terentyeva, Elena V. Sukhanova, Vladimir A. Voloshin

“…The experiment was carried out according to the generally accepted method with the selection of analog pairs. The cows of the control group received a feeding ration consisting of feeds available at the dairy complex. …”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…Moreover, a binary variant, BMHGS_V3, using sigmoid transformation, attains an average classification accuracy of 92.3% on ten UCI datasets for feature selection tasks. The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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Disease-Related Knowledge, Stress, and Quality of Life of Parental Caregivers of Children with Cleft Lip and Palate in a Selected Hospital in Ho Chi Minh City, Vietnam by Phung Le Thi Kim, Leonora Collantes

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BiOI-embedded molecularly imprinted polymer-functionalized BiOIO3 photocatalyst with spatially coupled dual-active sites for efficient selective citalopram removal by Lin Liu, Runan Chen, Chenshi Luo, Pengfei Liang, Mengyuan Zhang, Yongli Liu, Guifen Zhu

“…Achieving high-selectivity priority identification and degradation of target pollutants in complex water environments using photocatalytic technology remain challenging. …”
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Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest by Chunmei He, Yushan Li, Xiaoxia Dai, Na Liu, Fangfang Wu, Jiangbo Yan, Meiping Gao, Yonghui Liang, Zuoqiang Yuan, Zhanqing Hao, Qiulong Yin

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Physicochemical characteristics and statistical analysis of groundwater (Drinking) quality parameters in the rural area of Dewanganj, Nepal by Shiv Narayan Yadav, Suman Kumari Yadav, Medha Yadav, Umesh Prasad Yadav, Summi Rai, Ajaya Bhattarai

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A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver by Ershen Wang, Caimiao Sun, Chuanyun Wang, Pingping Qu, Yufeng Huang, Tao Pang

“…In this article, we propose a new particle swarm optimization–based satellite selection algorithm for BeiDou Navigation Satellite System/Global Positioning System receiver, which aims to reduce the computational complexity of receivers under the multi-constellation Global Navigation Satellite System. …”
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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…Methods include mathematical modeling, probabilistic distribution analysis, and efficiency assessment of resource allocation in complex transport systems. Results. The system representation is based on the formation of morphological matrices for selecting resource allocation scenarios using an evaluation framework of efficiency metrics at the first hierarchical level. …”
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An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis by Xin Yang, Junyao Hu, Chenhao Sun, Yafei Huang, Ci Tang, Jie Huang

“…With this motivation, this paper establishes an ensemble to address the issue of effective level diagnoses, and thus the hidden patterns and regularities between scheme features and effective levels can be explored. Based on the complex characteristics of input data, the Pearson correlation coefficient is deployed to handle the multidimensional data from multiple sources, and K-means clustering is then employed to classify scheme indicators into classes. …”
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Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction by Hamed Moradi, Rajat Vashistha, Kieran O’Brien, Amanda Hammond, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens

“…Traditional methods often neglect tissue heterogeneity and apply a single model universally. We applied a model selection approach alongside delay and motion correction, enabling the selection of models with varying complexity to better account for tissue heterogeneity. …”
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Exploring inbreeding depression in Brazilian Angus cattle population using pedigree and genomic data by Henrique A. Mulim, Gabriel S. Campos, Fernando Flores Cardoso, Hinayah Rojas de Oliveira

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Development of Coated Graphite and Wire Electrodes for Methyldopa Determination in Pharmaceutical and Pure Products by Hasan Amer, Omar Salih Hassan

“… Two designs of methyldopa-selective electrodes were compared: electrode A, which was copper-coated and electrode B, which was a coated graphite electrode (CGE) based on the ion-exchanger complex of methyldopa- Phosphotungstic acid (MeD-PTA). …”
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Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…In conclusion, the demonstration model, which incorporates simulated muscle activation and color visualization, enhances the vividness of kMI in complex motor skills. This enhancement is associated with the selective inhibition of the frontal, central, and temporal brain regions, the activation of the occipital and parietal regions within brain rhythmic activity, and increased information flow between the occipital-parietal and frontal-parietal brain regions.…”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…This targeted optimization ensures that the algorithm prioritizes balanced accuracy across both fall and non-fall events, mitigating the bias inherent in imbalanced datasets. Additionally, we select a chromosome structure focusing on three hyperparameters to effectively narrow the search space, reducing computational complexity while maintaining high detection performance. …”
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Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

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Parameters of maize hybrids developed for the conditions of insufficient and unstable humidit by G. Ya. Krivosheev, A. S. Ignatiev

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Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

“…At the same time, the development and use of this type of additives in energy facilities of the agro-industrial complex is very difficult due to their relative high cost, and the lack of a complete scientific study of the problem does not contribute to the widespread use of extreme pressure additives in agricultural tractor engines. …”
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Research Progress on Anti-floating Design of Underground Structures by WANG Sheng-li, DONG Shu-qing, HUANG Yu, SONG Zhi-han, WU Tong, ZHENG Shan-suo

“…Considering seepage effects, nine water buoyancy calculation models for different aquiclude structures were established based on Darcy’s law and seepage equilibrium equations, providing theoretical support for buoyancy calculations under complex geological conditions. (2) Researchers worldwide have derived buoyancy reduction coefficients for specific conditions through theoretical analysis, numerical simulation, and model box testing. …”
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