Search alternatives:
feature » features (Expand Search)
Showing 701 - 720 results of 2,894 for search 'feature development (pattern OR patterns)', query time: 0.21s Refine Results
  1. 701

    Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

    Published 2025-01-01
    “…By utilizing advanced neural network architectures, DL methods can identify complex patterns in network traffic, offering enhanced accuracy and resilience against such attacks. …”
    Get full text
    Article
  2. 702

    An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

    Published 2025-05-01
    “…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
    Get full text
    Article
  3. 703
  4. 704

    Development of the Regional Carbon Cycle Model in the Central Pacific Sector of the Southern Ocean by Takamitsu Ito

    Published 2022-06-01
    “…This model represents an intermittent double peak pattern of pCO2; one driven by the summertime high temperature and another from the wintertime high of dissolved inorganic carbon. …”
    Get full text
    Article
  5. 705
  6. 706

    Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

    Published 2024-11-01
    “…Initially, the model employs a 1D-CNN for feature extraction, followed by GRUs to capture temporal patterns in the data. …”
    Get full text
    Article
  7. 707
  8. 708

    Relationships between vegetation indices and surface reflectance: Implications for detecting and monitoring sandification in arid regions by Yifan Yue, Wenzhi Zhao, Rentao Liu

    Published 2025-07-01
    “…The regional sandification patterning revealed a distinct “transformation-differentiation” dimension in 2000–2023. …”
    Get full text
    Article
  9. 709

    Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

    Published 2025-08-01
    “…Traditional measures fail to fully capture the risks associated with a child’s development outcomes. Artificial intelligence techniques, particularly machine learning (ML), offer an innovative approach by analysing complex datasets to detect subtle developmental patterns.Objective To map the existing literature on the use of ML in ECD research, including its geographical distribution, to identify research gaps and inform future directions. …”
    Get full text
    Article
  10. 710
  11. 711

    Development of empirical anti-inflammatory diet index: a cross-sectional study by Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk

    Published 2025-06-01
    “…Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. …”
    Get full text
    Article
  12. 712

    POSITIVE INTERACTION IN AN INCLUSIVE EDUCATION: MANIFESTATION OF THE INTERNATIONAL CHILD DEVELOPMENT PROGRAMME (ICDP) by Farid Alamdar oglu Suleymanov

    Published 2016-04-01
    “…However, these interaction patterns are unprofessional and need development through relevant in-service trainings. …”
    Get full text
    Article
  13. 713

    Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

    Published 2025-01-01
    “…This study aims to analyze the development of global stock exchanges by integrating clustering, classification, and Shapley Values to identify growth patterns and understand the differences in market characteristics and dynamics. …”
    Get full text
    Article
  14. 714
  15. 715
  16. 716
  17. 717
  18. 718

    Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

    Published 2025-05-01
    “…This research aimed at applying machine learning models to improve reliability in the development of social science courses. Lasso was considered a regression technique that selected relevant features for prediction but eliminated redundant features. …”
    Get full text
    Article
  19. 719

    Development of biometric systems for passenger identification based on noise-resistant coding means by A. A. Gladkikh, A. K. Volkov, T. G. Ulasyuk

    Published 2021-04-01
    “…On the basis of the International Civil Aviation Organization (ICAO) recommendations, the procedure features of pattern recognition are presented. The versions to adopt the biometric passenger authentication procedures are under consideration. …”
    Get full text
    Article
  20. 720

    Key experimental technologies and their development directions for the exploration and production of deep coalbed methane by Xia YAN, Fengyin XU, Xianyue XIONG, Feng WANG, Chunhu LI, Jiyuan ZHANG, Borui XU, Qianhui CHENG, Xiong HU, Xueguang ZHU, Wei LIANG, Pu YUAN, Yanqing FENG, Zhenji WEI

    Published 2025-01-01
    “…ProspectsThis study posits seven development directions for deep CBM production and in-situ coal conversion experiments: (1) Clear, direct observation techniques for micropores (< 2 nm) in deep coal seams with ultra-low porosity and permeability, full-scale pore size splicing technology for multiscale pore structure characterized by abundant micropores, a few mesopores, and many macropores, and assessment techniques for pore-fracture connectivity. (2) Isothermal adsorption test technologies for raw coals considering the effects of deep coal seam wettability, fracturing fluid invasion, and high total dissolved solids (TDS) under high-temperature, high-pressure in-situ conditions; (3) Sealed coring devices and in-situ pressure-retaining coring technologies featuring high pressure retaining success rates, heat preservation rates, and traceable gas volume. (4) Nanoscience-based assessment technologies for gas and water occurrence in micropores in deep coal seams under high-temperature and high-pressure multi-field coupling, and experimental technologies for desorption, diffusion, and seepage across nano-micro-millimeter scales. (5) Techniques for developing and testing multifunctional mechanical experiment equipment applicable to in-situ conditions of deep coal seams featuring high stress, low modulus of elasticity, and high Poisson's ratio. (6) Experimental techniques for the purpose of enhancing CBM recovery of deep coal seams, including reservoir stimulation (microwaves, laser, and electric heating), stimulation for permeability enhancement (electromagnetic pulses, pulsed ultrasonic waves, and controlled shockwaves), displacement via CO2 injection, and mechanical pulsation with supercritical CO2. (7) Experimental techniques for in-situ coal conversion and utilization, including pyrolysis, underground coal gasification (UCG), geothermal utilization, and CO2 geological storage. …”
    Get full text
    Article