Showing 2,421 - 2,440 results of 2,755 for search 'boosting processing', query time: 0.12s Refine Results
  1. 2421

    In vitro Study on the Effect of Smoking and Alcohol on the Proliferation of Oral Cancer Cells by Ashutosh Panda, Neha Gupta, Usha Balan, Hiren H. Patadiya, Sushil K. Sahoo, Manish Kumar, Naina Pattnaik, Mahesh Ghadage

    Published 2025-06-01
    “…These results highlight the need for public health initiatives to lower these risk factors and recommend further research to examine the biological processes behind them.…”
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    Article
  2. 2422

    A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

    Published 2021-01-01
    “…For the face recognition process, the system uses the Ad boost algorithm based on Hear features to achieve face detection, preprocesses the face samples with gray normalization, rotation correction, and size correction, and uses the method based on LBP features to achieve face recognition. …”
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    Article
  3. 2423

    Digital Social Media Influencers’ Impact on Beauty and Personal Care Purchases in South Africa by Raksha Singh, Arnesh Telukdarie, Regionald Mongwe

    Published 2024-11-01
    “…The primary objective is to present a novel approach that digitally overlays traditional SMI marketing processes, enhancing engagement and effectiveness. …”
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    Article
  4. 2424

    The molecular gas content throughout the low-z merger sequence by Mark T. Sargent, S. L. Ellison, J. T. Mendel, A. Saintonge, D. Cs. Molnár, T. Schwandt, J. M. Scudder, G. Violino

    Published 2025-04-01
    “…While there is only partial overlap between post-mergers and post-starbursts, this suggests that molecular gas reservoirs are boosted throughout most stages of galaxy interactions, plausibly due to torque-driven inflows of halo gas and gas compression. …”
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    Article
  5. 2425

    Machine learning models for predicting spatiotemporal dynamics of groundwater recharge by Azeddine Elhassouny

    Published 2024-11-01
    “…The publicly available datasets are merged, processed, and organized into three parts for training, testing, and validation: 2002–2009, 2010–2015, and 2015–2020. …”
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    Article
  6. 2426

    Dark matter interactions in white dwarfs: A multi-energy approach to capture mechanisms by Jaime Hoefken Zink, Shihwen Hor, Maura E. Ramirez-Quezada

    Published 2025-05-01
    “…However, in the high-energy regime, there remains a small window for capture through resonant and deep inelastic scattering processes.…”
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    Article
  7. 2427

    Development of a Guidance System for an Agricultural Wheeled Robotic Platform in Row Crop Fields by Hossein Behfar, Fahime Hashemi, Arezu Nobakht

    Published 2024-06-01
    “…Smart and precision agriculture seeks to boost the efficiency of operations and crop yield by using modern technology. …”
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  8. 2428

    Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees by Aybike Özyüksel Çiftçioğlu, Anıl Delikanlı, Torkan Shafighfard, Faramarz Bagherzadeh

    Published 2025-07-01
    “…To further understand the model’s decision-making process, SHAP analysis is carried out, identifying axial force and reinforcement depth as key contributors to the shear strength estimation. …”
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    Article
  9. 2429

    MICFOA: A Novel Improved Catch Fish Optimization Algorithm with Multi-Strategy for Solving Global Problems by Zhihao Fu, Zhichun Li, Yongkang Li, Haoyu Chen

    Published 2024-08-01
    “…Secondly, in the exploitation phase, a weight-balanced selection mechanism is used to maintain population diversity, enhance the algorithm’s ability to get rid of local optima during the search process, and effectively boost the convergence accuracy. …”
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  10. 2430

    Perceptual service robot attributes affecting customer value co-creation intention in luxury hotels industry by Qian Li, Songyu Jiang

    Published 2025-02-01
    “…These attributes boost the enjoyment and trust customers feel when interacting with the robots, leading to greater engagement during the experience. …”
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    Article
  11. 2431

    Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

    Published 2025-01-01
    “…A comprehensive investigation of significant characteristics and their impact on the decision-making process of the model and multiple query point visualizations are some of the contributions. …”
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    Article
  12. 2432

    Financial inclusion for sustainable agriculture: Pathways among smallholder women farmers in rural Zambia. by Gershom Endelani Mwalupaso, Xianhui Geng, Salman Ibn Yasin

    Published 2025-01-01
    “…Findings reveal that WP in VSLAs significantly boosts CSA adoption, with a total effect size of 47%. …”
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    Article
  13. 2433

    Teachers’ beliefs and challenges of using multimedia for teaching visuals in social work: A study of Bangladeshi government college by Md. Habibul Ahasan

    Published 2023-09-01
    “…It enhances student comprehension, boosts participation, and keeps students' attention focused on the substance of the lesson. …”
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    Article
  14. 2434

    Performance Analysis of Sr3SbI3-Based Perovskite Solar Cell Using SCAPS-1D Software by Monira Khanom Mim, Sunirmal Kumar Biswas

    Published 2025-01-01
    “…Their high efficiency and low cost of materials and processes outshine commercial silicon or other organic and inorganic solar cells. …”
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  15. 2435

    La disolución de las fronteras. Notas para pensar la “otra orilla” en la obra de Marosa di Giorgio by Adriana Gabriela Canseco

    Published 2013-01-01
    “…This uninterrupted dialogue on both sides of the Rio de la Plata can be explained by the common interest for a poetic voice of extreme uniqueness; it also shows a process of mutual feedback, necessary for critically approaching a work without precedent in Latin American literature. …”
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  16. 2436

    A Novel Machine Learning for Ethanol and Methanol Classification with Capacitive Soil Moisture (CSM) Sensors by Devina Intan Sari, Suryasatriya Trihandaru, Hanna Arini Parhusip

    Published 2024-11-01
    “…The method involved placing evaporated samples on CSM plates and measuring the change in evaporative dielectric properties over time. The data were then processed using Python, preprocessing data, splitting data, and training various classifiers with key differentiators based on standard deviation, mean, difference, and cumulative summary. …”
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  17. 2437

    Giving children a voice: Concept development and foundation of the first Children's council “mental health” in Germany by Christina Bartnick, Hanna Christiansen, Silvia Schneider

    Published 2024-12-01
    “…This is associated with a child‐friendly exchange on topics related to mental health, as well as the enhancement of the education process on mental disorders and prevention.…”
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    Article
  18. 2438

    The Shock of Shatter: Understanding Silique and Silicle Dehiscence for Improving Oilseed Crops in Brassicaceae by Justin B. Nichol, Shakshi A. Dutt, Marcus A. Samuel

    Published 2025-04-01
    “…ABSTRACT Silique dehiscence, despite being an essential physiological process for seed dispersal for dehiscent fruits, is disadvantageous for the agricultural industry. …”
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  19. 2439

    Enhancing Manatee Aggregation Counting Through Augmentation and Cross-Domain Learning by Matteo Zaramella, Xingquan Zhu, Irene Amerini

    Published 2024-01-01
    “…To enhance accurate counting of the manatee aggregation, we introduce a framework with three key innovations to tackle the challenge: a new approach to generate density maps during the training process, an augmented technique to balance the dataset, and a cross-domain solution to enhance overall performance. …”
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  20. 2440

    Ambiguity-aware semi-supervised learning for leaf disease classification by Tri-Cong Pham, Tien-Nam Nguyen, Van-Duy Nguyen

    Published 2025-04-01
    “…Additionally, the rejection algorithm significantly boosts precision of final classifier on both coffee and banana datasets, achieving rates of 99.46% and 100.0%, respectively, while using only 50% labeled data. …”
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