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Journal articles on the topic 'Using Different Aspects in Learning'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

CANTAŞ, Gökhan. "ONTOLOGY MATCHING AND MANAGEMENT USING MACHINE LEARNING ASPECTS." Journal of Natural Sciences and Mathematics of UT-JNSM 9, no. 17-18 (2024): 219–27. http://dx.doi.org/10.62792/ut.jnsm.v9.i17-18.p2817.

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Industry 4. zero is a brand-new generation of data era that ambitions to expand expertise bases for tracking developments in enterprise 4. zero. This paper proposes a framework to cope with the improvement of Knowledge Bases for Monitoring Trends in Industry4.zero.In this framework, we suggest an ontological model (COInd4 ontology) for the manufacturing area that describes the assets and strategies within side the manufacturing unit, and sensor observations are analysed via way of means of remark affects the use of contextual data past classical reasoning mechanism for stopping the forecasted

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Darlis, Tiara Saputri, Fairuz Fairuz, Ninuk Lustiyantie, and Uwes Anis Chaeruman. "Multicultural Aspects of 21st Century Learning Using Digital Posters." JETL (Journal of Education, Teaching and Learning) 6, no. 2 (2021): 169. http://dx.doi.org/10.26737/jetl.v6i2.2548.

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21st century learning is learning that has the characteristics of being accessible, digital oriented, big data science and this learning is not limited to the distance of space and time. Poster presentation is a general form of educational information that is easily accessible, can be spread quickly with the presence of television, gadgets and the internet. This research method is descriptive qualitative method. While the research data in the form of educational posters. The results of this study are in the form of poster media requirements that are used as educational media, namely; 1) The co

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Saleh, Mostafa S. "Building Interoperable Learning Objects Using Reduced Learning Object Metadata." E-Learning and Digital Media 2, no. 3 (2005): 299–313. http://dx.doi.org/10.2304/elea.2005.2.3.9.

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The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards to describe these objects in order to support interoperability. IEEE Learning Object Metadata (LOM) is the most dominant standard for describing learning objects, in which 76 different elements are used to describe the different aspects of e-learning.

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WAN MOHD ISA, WAN ABDUL RAHIM, Zulinda Ayu Zulkipli, and Mimi Nurakmal Mustapa. "A Conceptual Framework of Blended Learning for Self-Directed Learners in the Social Context: Case of Mobile Learning." Social and Management Research Journal 14, no. 1 (2017): 51. http://dx.doi.org/10.24191/smrj.v14i1.5279.

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Currently, the factors for adopting m-learning revolve around higher education settings. However, the factors surrounding different cultural and background context of the user in using m-learning in different contexts are not fully explored, especially in the social context. Thus, there are needs to understand blended learning for self-directed learners from different communities. The main objectives of this paper are (i) to develop a conceptual framework of blended learning for self-directed learners in the social context by using mobile learning as the case study and (ii) to provide recommen

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SPIKOL, DANIEL, and MARCELO MILRAD. "PHYSICAL ACTIVITIES AND PLAYFUL LEARNING USING MOBILE GAMES." Research and Practice in Technology Enhanced Learning 3, no. 3 (2008): 275–95. https://doi.org/10.58459/rptel.2008.3275-295.

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The combination of informal learning and mobile outdoor games can be seen as a rel- evant arena for conducting novel learning activities that involve children in different tasks including physical motion, problem solving, inquiry and collaboration. These are activities that support different cognitive and social aspects of learning. Co-design and human centric design practices have been the focus of current research efforts in the field of educational technologies but not as prevalent in mobile games to support learning. In our current research we are exploring which design methods are appropr

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Devaiah, KN, and HB Anita. "Classification of architectural designs using Deep Learning." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2471–74. https://doi.org/10.35940/ijeat.C5621.029320.

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Architecture style of buildings play’s an important role in various aspects. Architectural style or the construction method affects the human health in multiple ways. Many dynasties are ruled India and constructed various types of monuments. So, In this proposed work popular dynasties like Hoysala dynasty, Vijayanagar empire, Mughal empire, Nizam’s of Hyderabad, Chalukya dynasty etc. are considered for creating dataset for the work. The architects of those times had really good knowledge about the different scientific methods to be used for construction. This project aims at classi

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Azabdaftari, Behrooz, and Mohammad Amin Mozaheb. "Comparing vocabulary learning of EFL learners by using two different strategies: mobile learning vs. flashcards." EuroCALL Review 20, no. 2 (2012): 47. http://dx.doi.org/10.4995/eurocall.2012.11377.

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<p>Vocabulary acquisition is one of the most important aspects of language learning. There are a number of techniques and technologies which enhance vocabulary learning in the year 2012, e.g. wordlists, flashcards and m-learning. Mobile phones are among those devices which not only meet the expectations of their users for communication, but are also good devices for language learning. Mobile phones can be used anywhere and anytime, and students are free to use them inside or outside the classroom setting. The present study compared the use of two strategies for vocabulary learning (i.e.

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Shah, Uzair, Vivien Hodgson, and Kiran Trehan. "Teachers' experiences of using Learning Technology in Pakistan." Proceedings of the International Conference on Networked Learning 8 (April 2, 2012): 303–11. http://dx.doi.org/10.54337/nlc.v8.9101.

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Advancements in learning technology, such as computers, mobile devices and the Internet, have extended correspondence with faculty members, facilitated administrative activities and encouraged linkage and connections with other students beyond normal university office hours. Education technologists are exploiting the benefits of technology to transform teaching methods in universities and promote interaction and collaboration; aspects important to Networked Learning. Despite the extensive use of learning technology, limited research has been conducted to understand how faculty members experien

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Svennevik, Hanna, Michael A. Riegler, Steven Hicks, Trude Storelvmo, and Hugo L. Hammer. "Prediction of Cloud Fractional Cover Using Machine Learning." Big Data and Cognitive Computing 5, no. 4 (2021): 62. http://dx.doi.org/10.3390/bdcc5040062.

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Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of human society such as agriculture and solar energy production. It is therefore important to improve the projection of future CFC, which is usually projected using numerical climate methods. In this paper, we explore the potential of using machine learning as part of a statistical downscaling framework to project future CFC. We are not aware of any

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Bulatovic, Marija, and Jelena Medar-Zlatkovic. "Serbian teachers’ conceptions of different aspects of planning cooperative learning in the classroom." Zbornik Instituta za pedagoska istrazivanja 56, no. 1 (2024): 53–78. http://dx.doi.org/10.2298/zipi2401053b.

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Having in mind the significance of students? mutual cooperation in the learning process, we conducted a study with the aim of understanding teachers? perspectives on different aspects of planning cooperative learning in the classroom. The sample comprised 19 teachers employed at primary and secondary schools in Belgrade, Pancevo, and the municipality of Obrenovac. The data was collected using the interview technique and processed via thematic content analysis. The findings suggest that although teachers shaped cooperative learning by creating different assignments for students, they most often

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Kruhlii, Olena, Maiia Zhulinska, Liudmyla Levytska, Halyna Shevtsiv, Nina Pechko, and Vadym Tynnyi. "Neurodidactic Aspects of Teaching Adults Foreign Languages." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 14, no. 4 (2023): 199–211. http://dx.doi.org/10.18662/brain/14.4/500.

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Education is among the many spheres of human life that have been totally computerized in today’s society. Computers and digital resources have already become an accepted part of the learning process for all types of educational institutions, from preschools to universities. The article points out the importance of distance learning and Internet platforms as a didactic means of material assimilation, because with their help it is possible for students to independently assimilate the proposed teaching and learning materials within a certain period of time. The manner in which Internet tools are

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Widyaningsih, Yunita. "Strategies to Overcome Interlanguage Fossilization by Using Flipped Learning in Pandemic Era." Proceeding of International Conference on Language Pedagogy (ICOLP) 1, no. 1 (2021): 253–62. http://dx.doi.org/10.24036/icolp.v1i1.48.

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Learning foreign language means learn all aspects of the language, such as language features, sociolinguistics, psycholinguistics, grammar, structure and culture. The different of these aspects from target language and native language will create different form output both of them, that known as the interlanguage. Interlanguage fossilization is common in the process of foreign language learning, which causes foreign language learners not make progress any more. Based on teaching learning process condition, researcher applied the strategies to overcome interlanguage fossilization by using flipp

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Olena, Kruhlii, Zhulinska Maiia, Levytska Liudmyla, Shevtsiv Halyna, Pechko Nina, and Tynnyi Vadym. "Neurodidactic Aspects of Teaching Adults Foreign Languages." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 14, no. 4 (2024): 199–211. https://doi.org/10.18662/brain/14.4/500.

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<em>Education is among the many spheres of human life that have been totally computerized in </em><em>today’s</em><em> society. Computers and digital resources have already become an accepted part of the learning process for all types of educational institutions, from </em><em>preschools</em><em> to universit</em><em>ies</em><em>. The article points out the importance of distance learning and Internet platforms as a didactic means of material assimilation, because with their help it is possible for students to independently assimilate the proposed teaching and learnin

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Shakir, Yasir Hussein, Eshaq Aziz Awadh AL Mandhari, Issa Nasser Salim Al-ghatrifi, and Ahmed Yahya Awad. "Predict Covid-19 Pandemic Phases using Several Machine Learning Algorithms." East Journal of Computer Science 1, no. 3 (2025): 1–16. https://doi.org/10.63496/ejcs.vol1.iss3.96.

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COVID-19, despite the worldwide reduced mortality and severity, is still a menace all over the world. This paper also provides the outline of a classification of pandemic stages and describes the methods for using machine learning to evaluate present-day pandemic intensity. Some aspects that have been targeted are economic and educational status and health, both physical and mental, concerning different aspects of life in Malaysia. The chosen algorithms for our analysis include SVM, PA, KNN, AdaBoost, DT, ETs, RF, GB, HGB, and MLP, with the MLP showing the best results. This strategy may be ap

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Nadia Astarina, Atri. "TEACHERS’ LESSON PLANS IN DIFFERENT SCHOOL LEVELS (A DESCRIPTIVE RESEARCH OF THREE DIFFERENT SCHOOL LEVELS)." JELA (Journal of English Language Teaching, Literature and Applied Linguistics) 2, no. 1 (2020): 1–15. http://dx.doi.org/10.37742/jela.v2i1.16.

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Developing lesson plans which significantly influence the successful teaching learning process is not an easy thing for some teachers in three different school levels. It is because there are some influential aspects which should be considered in developing it. Thus, this research was conducted to investigate the aspects taken in developing lesson plan as well as to investigate whether there is any difference between the lesson plans developed for three different school levels. It employed qualitative method with descriptive design towards teacher of elementary school, junior high school, and

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Shchekotin, E. V., В. Л. Гойко, P. A. Basina, and B. B. Bakulin. "Using machine learning to study the population life quality: methodological aspects." Digital Sociology 5, no. 1 (2022): 87–97. http://dx.doi.org/10.26425/2658-347x-2022-5-1-87-97.

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Assessment of the population life quality is an important and relevant sociological task. Machine learning as a classiﬁcation tool of social network users’ digital traces makes it possible to create a base to calculate subjective life quality index. The article consistently reviews all stages of the machine learning algorithms application to assess the life quality of the population of the regions of the Russian Federation and the issues of improving neural network accuracy. To train the neural network the authors formed a set of marked-up data extracted from regional communities of the social

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Simakova, Irina Leonidovna, and Svetlana Anatol’yevna Serdyukova. "Some aspects of the comparative characteristics of different computerized perimetry methods." Ophthalmology journal 8, no. 2 (2015): 5–9. http://dx.doi.org/10.17816/ov201525-9.

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Purpose - to compare the ease of use, the comfort for persons to be tested, the examination rate, as well as the variability of repeated results obtained using four methods of computerized perimetry. Materials and methods. This clinical study included three groups of patients with open-angle glaucoma (OAG). The 1st group included patients with OAG stage I, the 2nd group - with OAG stage II, the 3rd group - with OAG stage III. The control group included healthy individuals. All tested persons underwent examinations by 4 computerized methods (HFA II, Tomey AP-1000, Pericom, and the FDT-perimetry

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Luo, Yi, and Xiaowei Xu. "Predicting the Helpfulness of Online Restaurant Reviews Using Different Machine Learning Algorithms: A Case Study of Yelp." Sustainability 11, no. 19 (2019): 5254. http://dx.doi.org/10.3390/su11195254.

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Helpful online reviews could be utilized to create sustainable marketing strategies in the restaurant industry, which contributes to national sustainable economic development. This study, the main aspects (including food/taste, experience, location, and value) from 294,034 reviews on Yelp.com were extracted empirically using the Latent Dirichlet Allocation (LDA) and positive and negative sentiment were assigned to each extracted aspect. Positive sentiments were associated with food/taste, while negative sentiments were associated with value. This study further proves a robust classification al

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Masoumian, Armin, Hatem A. Rashwan, Julián Cristiano, M. Salman Asif, and Domenec Puig. "Monocular Depth Estimation Using Deep Learning: A Review." Sensors 22, no. 14 (2022): 5353. http://dx.doi.org/10.3390/s22145353.

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In current decades, significant advancements in robotics engineering and autonomous vehicles have improved the requirement for precise depth measurements. Depth estimation (DE) is a traditional task in computer vision that can be appropriately predicted by applying numerous procedures. This task is vital in disparate applications such as augmented reality and target tracking. Conventional monocular DE (MDE) procedures are based on depth cues for depth prediction. Various deep learning techniques have demonstrated their potential applications in managing and supporting the traditional ill-posed

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Priadko, Oleksandr, Serhii Bordeniuk, Oleksandr Lishafai, Natalia Lytvynenko, Tetiana Maslova, and Zoriana Kryvoruchko. "Special Aspects of Using Modern Multimedia Technologies within the Educational Process." International Journal of Information and Education Technology 12, no. 12 (2022): 1436–42. http://dx.doi.org/10.18178/ijiet.2022.12.12.1769.

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The use of modern multimedia technologies during the educational process is becoming more and more specific due to the multimedia penetration into different learning processes. This article aims to identify the special aspects of using multimedia technologies within the educational process in a distance learning environment. The research methodology is based on the stakeholders' theory, which identified the following participants in the educational process: education departments, the educational institutions' administration, students and pupils, and teachers. The content analysis method of the

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HMELJAK SANGAWA, Kristina. "The learner as lexicographer: using monolingual and bilingual corpora to deepen vocabulary knowledge." Acta Linguistica Asiatica 4, no. 2 (2014): 53–65. http://dx.doi.org/10.4312/ala.4.2.53-65.

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Learning vocabulary is one of the most challenging tasks faced by learners with a non-kanji background when learning Japanese as a foreign language. However, learners are often not aware of the range of different aspects of word knowledge they need in order to successfully use Japanese. This includes not only the spoken and written form of a word and its meaning, but also morphological, grammatical, collocational, connotative and pragmatic knowledge as well as knowledge of social constraints to be observed. In this article, we present some background data on the use of dictionaries among stude

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Gupta, N. G., Samiksha Tajne, Garima Parate, Pranali Mune, Akanksha Wankhade, and Akansha Mohod. "Student Career Recommendation Using Machine Learning." International Journal of Ingenious Research, Invention and Development (IJIRID) 1, no. 2 (2023): 21–25. https://doi.org/10.5281/zenodo.7811524.

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As scholars are going through their academics and chasing their interested courses, it's really important for them to impose their credentials and identify their interests so that they will get to know in which career field their interests and credentials are going to put them.  This will help them in enhancing their performance and motivating their interests so that they will be directed towards their targeted career and get settled in that. Also, recruiters while retaining campaigners after assessing them in all different aspects, these kinds of career recommender systems help them

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Yendrapati, Geetha Sri, Sonti Sai Trishal, Venigalla Bala Karthik, Tehmina Ishak, Tamma Lithish babu, and Satvik Dasari. "FLIGHT DELAY DETECTION USING DEEP LEARNING." Journal of Nonlinear Analysis and Optimization 16, no. 01 (2025): 162–68. https://doi.org/10.36893/jnao.2025.v16.i01.021.

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Flight delays are one of the most significant issues in the aviation sector, resulting in money-related calamities for planes and inconvenience for passengers. with millions of flights operating annually, increasing discuss activity has led to congestion and wasteful operational aspects. delays are influenced by various variables, including climate conditions, discuss activity, specialized issues, and airplane terminal operations. in order to solve this problem, we introduce a deep learning-based demonstrate for flight delay expectation based on verifiable and real-time data. our strategy invo

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Cutajar, Maria. "Phenomenography for researching aspects of networked learning." Proceedings of the International Conference on Networked Learning 9 (April 7, 2014): 355–58. http://dx.doi.org/10.54337/nlc.v9.9011.

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Networked learning as a pedagogical approach aims to advance technology mediated learning through relations with resources, tutors and students. Phenomenography is a qualitative research approach concerned with revealing patterns of variation in the relations between human beings and aspects of the world around them. Phenomenography and networked learning attend to different functions in different fields of operation - the former on doing research about learning and the latter on begetting students' learning, but both advance a relational view of learning. This short paper is the outcome of a

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Mohammed A M Oudah and Mohd Fadzli Marhusin. "SQL Injection Detection using Machine Learning: A Review." Malaysian Journal of Science Health & Technology 10, no. 1 (2024): 39–49. http://dx.doi.org/10.33102/mjosht.v10i1.368.

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SQL injection attacks are critical security vulnerability exploitation in web applications, posing risks to data, if successfully executed, allowing attackers to gain unauthorised access to sensitive data. Due to the absence of a standardised structure, traditional signature-based detection methods face challenges in effectively detecting SQL injection attacks. To overcome this challenge, machine learning (ML) algorithms have emerged as a promising approach for detecting SQL injection attacks. This paper presents a comprehensive literature review on the utilisation of ML techniques for SQL inj

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Sulisworo, Dwi, Ishafit Ishafit, and Kartika Firdausy. "The Development of Mobile Learning Application using Jigsaw Technique." International Journal of Interactive Mobile Technologies (iJIM) 10, no. 3 (2016): 11. http://dx.doi.org/10.3991/ijim.v10i3.5268.

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Teacher ability to arrange learning environmet will affect the student’s interest in learning as well in utilizing mobile technology. The purpose of this research is to develop mobile learning using the cooperative learning approach especially Jigsaw technique. The method of this research is development research using ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The application was validated by experts for technical aspects and also students from two different grades, i.e grade VII and grade VIII on physics subject for application acceptance responses. The resul

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J. Salunke, Mr D. "Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49693.

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Abstract - Road accidents caused by driver drowsiness have been a significant concern for decades. With advancements in automation, various drowsiness detection systems have been developed, yet they still require improvements in efficiency, accuracy, cost-effectiveness, and speed. This paper proposes an integrated approach for driver drowsiness detection based on multiple aspects, utilizing eye and mouth closure status (PERCLOS) along with a newly introduced Facial Aspect Ratio (FAR), similar to EAR and MAR. This approach helps detect drowsiness indicators such as closed eyes, yawning, nodding

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R, Ashwini, S. M. Aiesha Afshin, Kavya V, and Prof Deepthi Raj. "Diabetes Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 544–49. http://dx.doi.org/10.22214/ijraset.2022.41143.

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Abstract: The concept of machine learning has quickly become very attractive to the healthcare industry. Predictions and analyzes made by the research community on medical data sets help with appropriate care and precautions in the prevention of disease. of machine learning, the types of algorithms that can help make decisions and predictions. We also discuss various applications of machine learning in the medical field, with a focus on diabetes prediction through machine learning. Diabetes is one of the most increasing diseases in the world and it requires continuous monitoring. To check this

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Ahmad, Iftikhar, Muhammad Yousaf, Suhail Yousaf, and Muhammad Ovais Ahmad. "Fake News Detection Using Machine Learning Ensemble Methods." Complexity 2020 (October 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/8885861.

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The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in the human history before. With the current usage of social media platforms, consumers are creating and sharing more information than ever before, some of which are misleading with no relevance to reality. Automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the tr

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Horsa, Obsa Gelchu, and Kula Kekeba Tune. "Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques." Applied Computational Intelligence and Soft Computing 2023 (December 7, 2023): 1–12. http://dx.doi.org/10.1155/2023/3462691.

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Aspect-based sentiment analysis (ABSA) is the subfield of natural language processing that deals with essentially splitting data into aspects and finally extracting the sentiment polarity as positive, negative, or neutral. ABSA has been widely investigated and developed for many resource-rich languages such as English and French. However, little work has been done on indigenous African languages like Afaan Oromoo both at the document and sentence levels. In this paper, ABSA for Afaan Oromoo movie reviews was investigated and developed. To achieve the proposed objective, 2800 Afaan Oromoo movie

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Munazdar, Armando, and Mohamed Nur. "2D Animation Video of IoT-Based Agricultural Monitoring Using Onion Skinning Technique." Journal of Multimedia Trend and Technology 2, no. 1 (2023): 36–46. https://doi.org/10.35671/jmtt.v2i1.24.

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Learning is support from educators to help students acquire knowledge, skills and habits, as well as carry out the process of forming attitudes and beliefs. In other words, learning is a process that helps students learn well. Learning has the same meaning as teaching, but has a different meaning. In education, educators teach students to study and master the content of the material in order to achieve certain goals (cognitive aspects), changes in students' attitudes (emotional aspects) and skills (psychological aspects) can also affect students. After the outbreak of COVID19 in Indonesia, the

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Bashar, Md Abul, and Richi Nayak. "Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task." ACM Transactions on Intelligent Systems and Technology 12, no. 2 (2021): 1–24. http://dx.doi.org/10.1145/3446343.

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Language model (LM) has become a common method of transfer learning in Natural Language Processing (NLP) tasks when working with small labeled datasets. An LM is pretrained using an easily available large unlabelled text corpus and is fine-tuned with the labelled data to apply to the target (i.e., downstream) task. As an LM is designed to capture the linguistic aspects of semantics, it can be biased to linguistic features. We argue that exposing an LM model during fine-tuning to instances that capture diverse semantic aspects (e.g., topical, linguistic, semantic relations) present in the datas

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Rasim, R., Yusep Rosmansyah, Armein Z. R. Langi, and M. Munir. "Immersive Intelligent Tutoring System for Remedial Learning Using Virtual Learning Environment." Indonesian Journal of Science and Technology 6, no. 3 (2021): 507–22. http://dx.doi.org/10.17509/ijost.v6i3.38954.

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Intelligent Tutoring System (ITS) has been widely used in supporting personal learning. However, there is an aspects that have not become focus in ITS, namely immersive. This research proposes an Immersive Intelligent Tutoring (IIT) model based on Bayesian Knowledge Tracing (BKT) for determining the learner’s characteristics and learning content delivery strategies using genetic algorithms. The model uses remedial learning with a faded worked-out example. This study uses a 3-Dimensional Virtual Learning Environment (3DMUVLE) that implements immersive features to increase intrinsic motivation.

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Turchyn, Iryna, Stanislava Zaitseva, Nataliia Rudenko, Volodymyr Saienko, Nataliia Kuzemko, and Olha Denefil. "Using Distance Learning Models as Opportunities for Blended Learning for Foreigners." Revista Romaneasca pentru Educatie Multidimensionala 15, no. 4 (2023): 178–91. http://dx.doi.org/10.18662/rrem/15.4/787.

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The relevance of the article is caused by the fact that the established approaches and methods are changing, the needs of today's students and pupils are changing. Distance learning in the era of postmodernism is a type of learning, based on the educational interaction between teachers and students who are distant from each other, implemented with the help of telecommunication technologies and Internet resources. Distance learning is part of blended learning, which has become increasingly common in the education of foreign students. Blended Learning is a fairly new method of learning, which is

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Vishtak, Inna. "Methods of using problem-based learning in theoretical mechanics lectures." Health and Safety Pedagogy 8, no. 1-2 (2024): 37–43. http://dx.doi.org/10.31649/2524-1079-2023-8-1-037-043.

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The article substantiates the need for the implementation of creative engineering thinking in students of higher education when studying the discipline "Theoretical Mechanics". Examples of problematic issues and methods of solving them using the analysis of the proposed hypotheses are given. The purpose of the article is to justify the given method of using problem-based learning in lecture classes on theoretical mechanics using active learning methods. The main goal of higher education is the formation of competences in learners, which will allow them to constantly develop and ada

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Sripath Roy, K., K. Roopkanth, V. Uday Teja, V. Bhavana, and J. Priyanka. "Student Career Prediction Using Advanced Machine Learning Techniques." International Journal of Engineering & Technology 7, no. 2.20 (2018): 26. http://dx.doi.org/10.14419/ijet.v7i2.20.11738.

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As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area their interests and capabilities are going to put them in. This will help them in improving their performance and motivating their interests so that they will be directed towards their targeted career and get settled in that. Also recruiters while recruiting the candidates after assessing them in all different aspects, these kind of career recommender systems help them in d

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PALLAVARAM, VENKATESWAR LAL, SRILAKSHMI UPPALAPATI, and D.VENKATESWARLU. "FACE RECOGNITION USING DEEP LEARNING XCEPTION CNN METHOD." Journal of Theoretical and Applied Information Technology 100, no. 02 (2022): 531–42. https://doi.org/10.5281/zenodo.6009097.

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The continual development of computer vision technology is one of the main research paths in the area of computer vision during recent years. It detects, tracks, recognizes, or authenticates human appearances from any picture or video taken through a digital camera and provides accurate and quick enough recognition functions for commercial use. Widely utilized in mobile payments, safe cities, criminal investigations, and other areas. Much research has progressed into face detection, identification and safety, the main problems are the consideration of those objects that had "different siz

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WWDP, Fernando, De Mel WDH, Rajapakse RMNP, and Kumara IKJP. "Impact of online learning readiness on online learning effectiveness." World Journal of Advanced Research and Reviews 16, no. 3 (2022): 627–33. https://doi.org/10.5281/zenodo.7903495.

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Online education started to gain immense popularity worldwide along with the pandemic and continues to grow even in the next normal conditions. Scholars have developed several scales on different aspects of online learning. Present study considers the online learning readiness scale and its impact on online learning effectiveness of undergraduates. Responses were gathered using convenience sampling technique and the final sample size consisted of 134 respondents. Data collected were analyzed using Multiple Regression analysis. Results revealed that learner control and online learning self-effi

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Folkestad, Göran. "Formal and informal learning situations or practices vs formal and informal ways of learning." British Journal of Music Education 23, no. 2 (2006): 135–45. http://dx.doi.org/10.1017/s0265051706006887.

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During the last decade there has been an awakening interest in considering not only formalised learning situations within institutional settings, but also all the various forms of informal musical learning practices outside schools. Informal musical learning outside institutional settings has been shown to contribute to important knowledge and aspects of music education. In this article, I will examine research studies which in different ways focus on formal and informal learning situations and practices or formal and informal ways of learning. I will consider the relationship between music ed

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Zhao, Liang, Yuyang Gao, Jieping Ye, et al. "Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning." ACM Transactions on Knowledge Discovery from Data 16, no. 2 (2022): 1–28. http://dx.doi.org/10.1145/3464976.

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The forecasting of significant societal events such as civil unrest and economic crisis is an interesting and challenging problem which requires both timeliness, precision, and comprehensiveness. Significant societal events are influenced and indicated jointly by multiple aspects of a society, including its economics, politics, and culture. Traditional forecasting methods based on a single data source find it hard to cover all these aspects comprehensively, thus limiting model performance. Multi-source event forecasting has proven promising but still suffers from several challenges, including

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Thalor, Meenakshi, and Sandesh Chavan. "Phishing Website Detection and Analysis using Machine Learning." Phishing Website Detection and Analysis using Machine Learning 1, Vol. 1 No. 3 (2023): September 2023 (2024): 8. https://doi.org/10.59890/ijist.v1i3.666.

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Phishing remains a pervasive cybersecurity threat, with attackers constantly contriving new ways to deceive users and concession sensitive information. This paper explores the operation of machine learning for the analysis and detection of phishing websites. The proposed methodology involves the collection of a different dataset comprising both known phishing and licit websites. Applicable features are uprooted from these websites, encompassing aspects similar as URL structure, content analysis, and behavioral patterns. After data preprocessing and feature selection, various machine learning a

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Ghareb, Mazen Ismaeel, and Saman Ali Mohammed. "Blended Learning Mobility Approach and English Language Learning." UHD Journal of Science and Technology 3, no. 2 (2019): 1. http://dx.doi.org/10.21928/uhdjst.v3n2y2019.pp1-9.

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Although the benefits of blended learning have been well documented in educational research, relatively few studies have examined blended mobilities in education in Kurdistan region government and in Iraq. This study discusses a blended mobility approach for a teacher training program designed for in-service English language teachers (ELT) and investigates its effectiveness by comparing the latest participation of the University of Human Development for computer science and proposing the same program for training English for lecturers and students. The research involved proposes new mobility p

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Dhingra, Mayank, Rahul Dhingra, and Meghna Sharma. "Pothole Detection Using Machine Learning Models." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 2 (2024): 94–105. http://dx.doi.org/10.32628/ijsrset241126.

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Potholes are damage caused to the ground by the formation of water and wear and tear over time. According to statistical data, bad road conditions account for about one- third of the total road accidents which has been increasing exponentially. Potholes have become so common that it has become second nature for people to learn how to spot and avoid them, which causes further accidents. The need of the hour is to build a dependable pothole detection system to accurately detect potholes and warn the drivers and government officials in advance. The process to build such a system is divided into t

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Chavan, Shreyas. "Video Deepfake Detection System Using Deep Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45674.

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Abstract— This comprehensive study delves into the dynamic geography of deep literacy operations, fastening on the burgeoning realm of deep fakes. Deep literacy has seamlessly integrated into fields like natural language processing, machine literacy, and computer vision, giving rise to innovative operations. still, the swell in deep fakes, sophisticatedly manipulated videos images, has come a pressing concern. The unrighteous operations of this technology, similar as fake news, celebrity impersonations, fiscal swindles, and vengeance porn, pose significant pitfalls in the digital realm. Partic

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Mubarok, Teten Mohamad sapril. "“Penggunaan Flip Book Terhadap Peningkatan Hasil Pembelajaran Bahasa Inggris Siswa pada Aspek Kognitif Tingkat Rendah (Quasi Eksperimen Pokok Bahasan Tenses pada Siswa Kelas XII Semester I di SMAN 16 Garut)”." Journal Civics & Social Studies 4, no. 2 (2021): 118–30. http://dx.doi.org/10.31980/civicos.v4i2.942.

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The research was conducted in an effort to find out the differences between students who were taught by using Flip book and those who were taught without using the Flip book in mastery of low level of cognitive aspects. This research design was a quasi-experimental using two groups. In the experimental group was applied the learning process of learning media flipbook while the control group it was not applied the learning media flipbook. The Subjects in this study were 35 students of XII IPA 5 class as an experimental class and 35 students of XII IPA 4 as the control class in SMAN 16 Garut. Th

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Et.al, Ms P. Mahalakshmi. "Cross - Language based Multi-Document Summarization Model using Machine Learning Technique." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 331–35. http://dx.doi.org/10.17762/turcomat.v12i6.1393.

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Cross-Language Multi-document summarization (CLMDS) process produces a summary generated from multiple documents in which the summary language is different from the source document language. The CLMDS model allows the user to provide query in a particular language (e.g., Tamil) and generates a summary in the same language from different language source documents. The proposed model enables the user to provide a query in Tamil language, generate a summary from multiple English documents, and finally translate the summary into Tamil language. The proposed model makes use of naïve Bayes classifie

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Babiker, Areej, Yahia Baashar, Ammar Ahmed Alkahtani, Ibrahima Faye, and Gamal Alkawsi. "Towards Detection of Interest Using Physiological Sensors." Applied Sciences 11, no. 3 (2021): 1318. http://dx.doi.org/10.3390/app11031318.

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The positive effects of interest on different aspects, e.g., learning and education, economy, psychological well-being, and social relations, have been widely addressed by many psychological and physiological studies in the last two decades. While the psychological work has investigated this impact of interest theoretically, the physiological studies have focused more on the modulatory effects. However, some studies have addressed both sides of the effects. In this work, we conduct a comprehensive review of physiological studies on interest detection, from different perspectives carried out be

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Kottke, Daniel, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, and Bernhard Sick. "Toward optimal probabilistic active learning using a Bayesian approach." Machine Learning 110, no. 6 (2021): 1199–231. http://dx.doi.org/10.1007/s10994-021-05986-9.

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AbstractGathering labeled data to train well-performing machine learning models is one of the critical challenges in many applications. Active learning aims at reducing the labeling costs by an efficient and effective allocation of costly labeling resources. In this article, we propose a decision-theoretic selection strategy that (1) directly optimizes the gain in misclassification error, and (2) uses a Bayesian approach by introducing a conjugate prior distribution to determine the class posterior to deal with uncertainties. By reformulating existing selection strategies within our proposed m

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Dolenc, Taj, and Ales Filipcic. "Model for determining playing competencies for different levels of beginner and intermediate tennis players – Part 2." ITF Coaching & Sport Science Review 33, no. 95 (2025): 25–28. https://doi.org/10.52383/itfcoaching.v33i95.684.

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In the first part of the article, the factors that influence the teaching of beginners and advanced tennis players were presented in detail, such as the learning level of the students, the tactical aspects (perception, anticipation, decision factors, 5 game situations and tactical intention), the technical aspects (stroke mechanics) and the training aspects (development fields). In the second part of the article, the factors for determining playing ability are used for various game situations and presented below using an example with instructions for the practical application of the model.

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Awlla, Ardalan Husin, Brzu T. Muhammed, Sherko H. Murad, and Sabah N. Ahmad. "Prediction of CoVid-19 mortality in Iraq-Kurdistan by using Machine learning." UHD Journal of Science and Technology 5, no. 1 (2021): 66–70. http://dx.doi.org/10.21928/uhdjst.v5n1y2021.pp66-70.

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This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have coronavirus, for find out which aspects have an effect to patient death. First, a literature has been made with the previous research that has been done on the analysis dataset of coronavirus using Machine learning (ML) algorithm. Second, data analytics is applied on a dataset of Sulaymaniyah, Iraq, to find factors that affect the mortality rate of coronavirus patients. Third, classification algorithms are used on a dataset of 1365 samples provided by hospitals in Sulaymaniyah, Iraq to diagnose COV

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