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  1. 841

    Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

    Published 2024-06-01
    “…Stock recommendation systems can assist investors in achieving superior returns by selecting the right stocks. However, traditional stock recommendation systems often lack the necessary accuracy and efficiency. …”
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    Article
  2. 842

    TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

    Published 2024-01-01
    “…The proposed technique, which is based on ResNet-50 and includes integrated Selective Kernel Network (SKNet) blocks, has proven to be efficient for feature extraction customised specifically to pose estimation scenarios. …”
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  3. 843

    A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning by Junyao Ding, Jianchao Du, Hejie Wang, Song Xiao

    Published 2025-05-01
    “…This paper also adds an adaptive mechanism and evolution strategy to improve the loss of population diversity and degeneration in the later stages of iteration, thereby enhancing search efficiency. The experimental results on eight UCI datasets show that the proposed method significantly improves classification performance and has excellent feature selection capability.…”
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  4. 844

    Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

    Published 2025-05-01
    “…Compared to the full dataset (225 features), which yielded 97.51%, 99.93%, and 96.17%, respectively, our optimized feature subset maintained or enhanced classification performance while reducing computational complexity. This research demonstrates the effectiveness of a hybrid feature selection approach in improving ICS anomaly detection. …”
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  5. 845

    Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

    Published 2025-02-01
    “…The performance of the GLEO-coupled with the RFR model was compared with the standard Equilibrium Optimizer (EO) and other state-of-the-art algorithms in physical and physiological function estimation using biological signals.ResultsExperimental results showed that selected features and tuned hyperparameters demonstrated a significant improvement in root mean square error (RMSE), coefficient of determination (R2) and slope with values improving from 0.1330 to 0.1174, 0.7228 to 0.7853 and 0.6946 to 0.7414, respectively for the test dataset. …”
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  6. 846
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  8. 848

    Design of a chiral molecular pocket in a Ni(II) complex to improve stereoselectivity in the kinetic resolution of racemic epoxides with CO2 by Mikhail A. Emelyanov, Alexander V. Bachinskiy, Yana V. Derkach, Vasiliy A. Chaliy, Alexander F. Smol'yakov, Michael G. Medvedev, Aleksei A. Titov, Victor I. Maleev, Vladimir A. Larionov

    Published 2024-12-01
    “…However, one is the main challenges in this direction is the absence of the universal and efficient chiral catalytic systems for the resolution of different epoxides by CO2 with a high selectivity factor (s). …”
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  9. 849

    Correlation of Complex Impacted Mandibular Teeth with Pericoronitis and Effect of Minimally Invasive Tooth Extraction on Patients’ Long-term Outcome of Masticatory Ability by Tinghong Nie, Bojie Chang, Lili Tian, Shansong Cao, Junjie Wang, Haitao Qi, Lirong Gao

    Published 2022-01-01
    “…A total of 101 patients with complex impacted teeth who were treated in our hospital from March 2019 to June 2021 were selected and divided into the control group (n = 55) and the observation group (n = 46) according to the different treatment methods. …”
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  10. 850

    Optimizing Feature Selection in Sentiment Analysis of Bank Saqu: A Comparative Study of SVM and Random Forest using Information Gain and Chi-Square by Anelta Tirta Putri Subandono, Dhani Ariatmanto

    Published 2025-05-01
    “…The selection of an optimal feature selection method is a crucial factor in improving the accuracy and efficiency of text classification models. …”
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  11. 851

    Exploring early Acheulian technological decision-making: A controlled experimental approach to raw material selection for percussive artifacts in Melka Wakena, Ethiopia. by Eduardo Paixão, Tegenu Gossa, Walter Gneisinger, João Marreiros, Sören Tholen, Ivan Calandra, Erella Hovers

    Published 2025-01-01
    “…As part of the technological system, differences in raw material quality directly affect the way that humans produce, design and use stone tools. The selection, procurement and use of various raw materials requires decision-making to evaluate multiple factors such as suitability to produce and design tools, but also the materials' efficiency and durability in performing a given task. …”
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  12. 852

    Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

    Published 2025-03-01
    “…The results showed that Co(II) from the EG-H2O solutions was selectively extracted over other metals by ionic liquids, in which ALi-SCN was more efficient than Aliquat 336. …”
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  13. 853

    Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

    Published 2025-03-01
    “…The results showed that Co(II) from the EG-H2O solutions was selectively extracted over other metals by ionic liquids, in which ALi-SCN was more efficient than Aliquat 336. …”
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  14. 854

    Highly Selective Precipitation of Platinum(IV) from HCl Solutions Using <i>m</i>-Phenylenediamine Utilizing Difference in Stability of Ionic Crystals by Kazuya Matsumoto, Yuki Hata, Hiroshi Katagiri, Mitsutoshi Jikei

    Published 2025-02-01
    “…The development of a selective separation and recovery method for platinum-group metals (PGMs) is in high demand to establish efficient and practical recycling technologies for different secondary materials such as industrial automobile catalysts. …”
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  15. 855

    Genome-wide association studies and functional annotation of pre-weaning calf mortality and reproductive traits in Nellore cattle from experimental selection lines by Gustavo R. D. Rodrigues, Luiz F. Brito, Lúcio F. M. Mota, Joslaine N. S. G. Cyrillo, Júlia P. S. Valente, Lorena F. Benfica, João B. Silva Neto, Marcelo S. Borges, Fábio M. Monteiro, Lenira El Faro, Lucia G. Albuquerque, Maria E. Z. Mercadante

    Published 2024-12-01
    “…Conclusions These findings provide valuable information on genomic regions, candidate genes, biological processes, and metabolic pathways that may significantly influence the expression of complex reproductive traits in Nellore cattle, offering potential contributions to breeding strategies and future genomic selection strategies.…”
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  16. 856

    A Smart Ru‐Locked Chemiluminescence Probe via Bioorthogonal Activation for Highly Selective, Real‐Time and Noninvasive In Vivo Imaging of Thiol Dysregulation by Dongnan Guo, Dan Xu, Xiaofeng Wei, Chunying Fan, Bobo Wang, Laifu Li, Haixia Song, Wenguang Yang, Yujie Wang, Zhaojia Wang, Xiaofang Hou, Sicen Wang

    Published 2025-08-01
    “…The BAC probe overcomes many limitations that existed in other chemiluminescence probes via a highly selective “Ru‐locked” mechanism to achieve light‐independent, thiol‐triggered activation in the complex tumor microenvironment. …”
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  17. 857

    The Impact of Organizational and Managerial Factors on Integrated Resilience Engineering Indicators: A Case Study in a Petrochemical Complex Aimed at Enhancing Employee’s Health by Zahra KhosraviShapourAbadi, Zahra Naghavi-Konjin, Siavash Etemadinezhad, Jamshid Yazdani-Charati

    Published 2025-04-01
    “…Based on the DEA, 160 units were classified as efficient under the organizational condition, whereas only 146 units met the efficiency threshold when managerial factors were considered. …”
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  18. 858

    COMBINED PLASMA FILTRATION, SELECTIVE ADSORPTION OF CYTOKINES WITH HEMOFILTRATION AND PLASMA EXCHANGE IN THE CORRECTION OF PLATELET AND COAGULATION HEMOSTASIS IN PATIENTS WITH THE... by L. V. Belskikh, A. B. Zulkarnaev, I. A. Vasilenko, A. V. Vatazin

    Published 2015-05-01
    “…Aim. To improve the efficiency of treatment of the patients with pancreatic necrosis through correcting the platelet-coagulation potential by methods of combined plasma filtration, selective sorption of cytokines with hemofiltration and plasmapheresis. …”
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  19. 859

    Deep Learning-Based Sound Source Localization: A Review by Kunbo Xu, Zekai Zong, Dongjun Liu, Ran Wang, Liang Yu

    Published 2025-07-01
    “…This work provides both theoretical foundations and technical references for algorithm selection and practical implementation in complex real-world scenarios.…”
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  20. 860

    Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

    Published 2025-01-01
    “…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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