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ENHANCING NAMED ENTITY RECOGNITION ON HINER DATASET USING ADVANCED NLP TECHNIQUES
Published 2025-05-01“… Named entity recognition (NER) is a natural language processing (NLP) categorization labelling job where the objective is to assign words to a predefined set of named entity classes. …”
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9005
Performance Evaluation of Produced Water Quality from a Nearshore Oil Treatment Facility
Published 2013-07-01“…Its negative impacts on the receiving water bodies have become a worrisome environmental issue. The effluent quality of a crude Oil processing and exporting installation located in the coastal area of the Niger Delta was studied for six months to ascertain the efficiency of the company’s produced water treatment processes. …”
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Robust wireless statistic division multiplexing and its performance analysis
Published 2018-12-01“…Aiming at solving the issue of the robustness of sensor signal recovery as well as tackling the dilemma of simultaneous spectrum utilization, this article will concentrate on designing a robust wireless statistic division multiplexing scheme. …”
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9008
Lost Trust? The Experiences of Teachers and Students during Schooling Disrupted by the Covid-19 Pandemic
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Wavelet neural network algorithm for hybrid GA in infrared CO2 gas sensor
Published 2024-12-01“…The results showed that compared with other existing models, the GA-WNN model proposed in this study can significantly reduce the difference between the detected values and the actual environmental values under various temperature conditions when processing data. Especially at an ambient temperature of 49 °C, for a true CO2 concentration of 2000 ppm, the detection value processed by the GA-WNN algorithm was 2046 ppm, with a relative error of only 2.3 %, far lower than the 9.8 % of Faster RCNN algorithm and 11.5 % of WNN algorithm. …”
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Phage resistance of conditionally pathogenic intestinal microbiota bacteria in children with microbiocenosis disorders
Published 2021-07-01“…Antibiotic sensitivity was determined by the disk diffusion method. Statistical processing of the results was carried out using the Microsoft Office Excel 2007 software package.Results. …”
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The Development of Ethnoscience in Chemistry Learning in Indonesia: A Bibliometric Analysis of Literacy and Cultural Relevance
Published 2024-12-01“… The main issue in this study is the lack of comprehensive understanding and mapping of the patterns and progress in ethnoscience research within the context of chemistry education in Indonesia. …”
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EFFECTIVENESS OF FOOTBALL TRAINING ON THE MOTOR ABILITIES OF 12-YEAR OLD STUDENTS
Published 2024-12-01“…The issue of developing the motor abilities of students is highly relevant to school-based physical education. …”
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TEACHER`S OPINIONS AND ATTITUDES REGARDING PRINTED, ELECTRONIC AND DIGITAL TEXTBOOKS
Published 2024-12-01“…The paper deals with a significant issue within the educational process -textbooks. …”
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Smart government in local adoption – Authorities in strategic change through AI
Published 2021-07-01“… The digital revolution is an issue for local authorities to actively shape the dynamic change of service expectations. …”
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Application of Employment Agreements as a Legal Remedy to Protect The Rights and Obligations of Contract Workers
Published 2025-05-01“…This research provides an overview of each issue addressed at the base, unit, or company level in a bipartite cooperation organization. …”
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Temporal context modulates the recovery of the attentional blink
Published 2025-03-01“…., driving a car or chatting online—where intervals between significant events do not necessarily follow certain rules but are likely random, it appears important to understand how temporal contexts with different uncertainty levels affect temporal attention allocation when processing rapid serial inputs. We pursued this issue by employing a task examining the temporal limit of attention—the attentional blink (AB). …”
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Landscape layout characteristics and evaluation of smart buildings based on deep learning algorithms
Published 2025-08-01“…With the help of the data processing capabilities of deep learning, various design schemes can be comprehensively and objectively evaluated, providing strong support for the selection and decision-making of innovative building projects.…”
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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model
Published 2023-06-01“…With the increase in the volume of news articles and headlines being generated, it is becoming more difficult for individuals to keep up with the latest developments and find relevant news articles in the Kurdish language. To address this issue, this paper proposes a novel data augmentation approach for improving the performance of Kurdish news headline classification using back-translation and a proposed deep learning Bidirectional Long Short-Term Memory (BiLSTM) model. …”
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The demographic situation in Penza region under the reforms of the administrative-territorial division in the 1920–1930s
Published 2025-08-01“…The formation of a transparent systematized cluster of data on the demographic history of the 20th century is one of the most important tasks for historians-demographers, since this issue is exclusively politicized and mythologized. …”
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