Showing 641 - 660 results of 2,894 for search 'features development patterns', query time: 0.16s Refine Results
  1. 641

    Epidemic situation and features of accompanying therapy in the treatment of socially significant infectious diseases in penitentiary populations before, during, and after the COVID... by V. M. Kolomiets, N. A. Polshikova, A. Yu. Petrov, A. L. Kovalenko, E. V. Talikova

    Published 2024-04-01
    “…The second stage of the study was the analysis of data on tuberculosis (TB): features of the clinical course, etiotropic treatment, and the possibility of increasing efficiency through accompanying therapy.Results. …”
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    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. …”
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  6. 646

    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. …”
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  7. 647
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    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. …”
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    Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

    Published 2025-02-01
    “…Finally, patient-level artificial intelligence models were developed by integrating deep learning -generated pathology features with several machine learning algorithms. …”
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  11. 651

    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. …”
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    SPECIES COMPOSITION AND TERRITORIAL DISTRIBUTION OF BIRDS IN PIEDMONT DAGESTAN by E. V. Vilkov

    Published 2019-07-01
    “…Information on the following points was obtained for the first time: composition of bird species, their average abundance, residence status, faunal‐genetic structure, ecological pattern of the avifauna, as well as the features of territorial distribution of birds in Piedmont Dagestan.Methods. …”
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    Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea by Muhammad Asad Ullah, Muhammad Hamza, Rozia Gull, Muhammad Shafiq, Abdul Wahid, Shahab Ahmad, Tayebeh Ahmadi, Mehdi Rahimi

    Published 2025-05-01
    “…The whole study involved systematic characterization of the BoBZR1 family, and expression patterns, in BR signaling and its extensive involvement in developmental processes in B. oleracea. …”
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    EXPERIMENTAL METHODS OF EXPLORING MULTIMODAL DISCOURSE: CROSSMODAL ALIGNMENT by Mariya I. Kiose, Vadim O. Potekhin, Oleg D. Zubkov

    Published 2024-11-01
    “…The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. …”
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  19. 659

    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. …”
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  20. 660

    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. …”
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