Search Results - affecting ((commitment techniques) OR (((computing techniques) OR (learning techniques))))
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The relationship between HRM practices, leadership style, affective commitment and informal workplace learning
Published 2018“…Similarly, affective commitment also mediates the relationship between transactional leadership style and informal workplace learning. …”
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Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
Published 2014“…This paper proposed one of the Evolutionary Computation (EC) components which is Particle Swarm Optimization (PSO) in solving a problem of unit commitment (UC). …”
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Sea level anomaly and earthquake predictions: endangered countries prognostications
Published 2020“…It is extremely difficult to predict natural disasters. Existing machine learning techniques are not reliable enough to find the affected countries due to earthquakes and rising sea levels. …”
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Investigating the factors of committing crime by foreign workers using fuzzy techniques / Norwaziah Mahmud ... [et al.]
Published 2022“…Crime rate will not decrease if the factors that influence foreign workers to commit crimes remain unclear and unexplored. Many factors are affecting the foreign workers to commit crime. …”
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News sentiment and actual price of stock data: using news classification technique / Anupong Sukprasert, Weerasak Sawangloke and Benchamaphorn Sombatthira
Published 2021“…Results show that best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
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Psychological factors affecting young people's environmental responsibility: evidence from public university students
Published 2024“…Second is a convenience sampling technique. Underlying the concept of dispositional attribution, this study investigated relationships between commitment, green lifestyle, environment consciousness, green self-efficacy, and pro-environmental behavior. …”
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Affective assessment in learning using fuzzy logic / Lusiana Syaiful
Published 2016“…This research presents the work done in order to assess the affective value of the learner during computer-based learning. …”
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Student’s performance based on e-learning platform behaviour using clustering techniques
Published 2021“…Measuring student engagement on e-learning platforms is critical to student learning because online platforms can make some students feel isolated and disconnected, leading to loss of interest and affecting academic performance. …”
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Antecedents of affective organizational commitment and turnover intention of academics in selected private universities in Malaysia
Published 2011“…Another interesting finding of the study was that the influence of POS on turnover intention is only through the indirect effect via affective organizational commitment. The results of this study add to our knowledge about the social exchange mechanisms or process that link HR practices with the employees'affective organizational commitment and turnover intention. …”
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CRITICAL FACTORS THAT AFFECTING ADOPTION OF E-LEARNING BASED ON CLOUD COMPUTING FOR IRAQI HIGHER EDUCATION ORGANIZATIONS
Published 2022“…Cloud computing-based e-learning is one of the most popular techniques discovered to promote traditional instruction by software applications and a virtual learning environment. …”
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The impact of advertising on relationship quality: empirical evidence from Malaysia
Published 2015“…These findings provide useful insights and suggestions for business practitioners to learn developing successful relationships with customers using innovative advertising techniques.…”
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Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…For overcoming the difficulties, effective and optimized meta-heuristic machine learning techniques indicate lung cancer in the earlier stage. …”
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An innovative hybrid deep learning technique based on neural networks for early detection of lung cancer
Published 2025“…This work uses the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) to extract the Computed Tomography (CT) scan images. Conventional techniques use manual CT scans to determine if a patient has lung cancer. …”
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Predicting COVID-19 trends: a deep dive into time-dependent SIRSD with deep learning technique / Abdul Basit ... [et al.]
Published 2024“…This model proposes a combination of deep learning techniques, specifically Feed-Forward Neural Networks (FFNN) and Recurrent Neural Networks (RNN), with an epidemiological mathematical framework. …”
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Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba
Published 2019“…These literatures suggest that the complex relationship between feedback, task complexity, pedagogical principles and student’s characteristics affect the significance of feedback effects. Various knowledge modeling techniques for providing feedback in computer-based learning environments have been proposed. …”
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A real-time Brain-Computer Interface (BCI) framework for sleep state stimulation using a deep-learning technique: proposal
Published 2022“…However, the current study on deep-learning techniques regarding the sleep analysis that can give real-time results is still scarce compared to the offline sleep analysis. …”
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Automatic topic-based web page classification using deep learning
Published 2023“…The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. …”
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Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. …”
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