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College English Audio-Visual-Oral Teaching Mode from the Perspective of Artificial Intelligence
Published 2022-01-01“…Under the premise of educational plan changes in the new environment, English teaching is gradually reflected in the cultivation of college students’ English application ability. This research studies the current college English audio-visual-oral teaching mode from the perspective of artificial intelligence and analyzes the current situation of traditional English teaching by explaining the meaning of artificial intelligence, which mainly includes four stages: literature research, model construction, empirical research, and result analysis. …”
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3163
Risk Prediction and Response Strategies in Corporate Financial Management Based on Optimized BP Neural Network
Published 2021-01-01“…This paper mainly analyzes the theories related to the financial risk of the company and combines the principles of principal component analysis, particle swarm optimization algorithm, and artificial neural network to derive the financial risk index system of the company. …”
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3164
Evidence on the performance of nature-based solutions interventions for coastal protection in biogenic, shallow ecosystems: a systematic map
Published 2024-12-01“…Potentially relevant articles were deduplicated and then screened by title and abstract with assistance from a machine learning algorithm. Following title and abstract screening, we conducted full text screening, extracted relevant metadata into a predefined codebook, and analyzed the evidence base to determine the distribution and abundance of evidence and answer our research questions on NBS performance. …”
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Perceiving Fifth Facade Colors in China’s Coastal Cities from a Remote Sensing Perspective: A New Understanding of Urban Image
Published 2025-06-01“…Through developing an innovative natural color optimization algorithm, the oversaturation and color bias of Sentinel-2 imageries were addressed. …”
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3168
Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning
Published 2025-08-01Get full text
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3169
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3170
Optimal Identification for Dynamic PV Cell Parameter Based on a Data-Extension-Driven Method
Published 2023-01-01Get full text
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3171
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3173
A photogrammetric approach to the estimation of distance to animals in camera trap images
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3174
Assessment of Aerosolized Colistin Efficacy for Nosocomial Pneumonia
Published 2017-12-01Get full text
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3175
Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease
Published 2020-11-01“…The V.A. Nasonova Research Institute of Rheumatology followed up 136 patients who were highly positive for ACA. …”
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3176
Characteristics of psychosocial status in women with neuroimaging brain changes due to hiv infection and viral hepatitis C
Published 2022-12-01“…The purpose of the study: to give a comprehensive characteristic (clinical-immunological, psychosocial, psychopathological) of women with HIV / viral hepatitis C (HCV) co-infection, to determine the presence of structural and functional changes in the brain using neuroradiological research methods. Material: The main study group consisted of 200 women with HIV / HCV co-infection and 200 women diagnosed with HIV infection without HCV. …”
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3177
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3178
Using deep learning for thyroid nodule risk stratification from ultrasound images
Published 2025-06-01Get full text
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3179
METHODS OF MATHEMATICAL STATISTICS AS A MEANS OF PROFESSIONAL COMPETENCE FORMATION OF STUDENTS-ECOLOGISTS
Published 2018-04-01“…The aim of this publication is to reveal the potential of mathematical statistics methods application for the professional competencies formation of future ecologists. Methodology and research methods. Methodological framework of the research is made up of a competency-based approach to the preparation of high school specialists. …”
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3180
Steatotic liver disease: radiological and ultrasound point of view
Published 2025-01-01“…The control group included 278 patients without signs of liver steatosis according to instrumental research methods, including 144 (51.8%) men, 40 (48.2%) women aged 18 to 68 years. …”
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