An Optimal Viewpoint-Guided Visual Indexing Method for UAV Autonomous Localization by Zhiyang Ye, Yukun Zheng, Zheng Ji, Wei Liu

“…Due to GNSS (Global Navigation Satellite System) signal occlusion, obtaining precise drone locations is still a challenging issue. Inspired by vision-based positioning methods, we proposed an autonomous positioning method based on multi-view reference images rendered from the scene’s 3D geometric mesh and apply a bag-of-words (BoW) image retrieval pipeline to achieve efficient and scalable positioning, without utilizing deep learning-based retrieval or 3D point cloud registration. …”
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Life stories as a technique to address the structural dimension of the social world by Gonzalo Seid

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Identifying, categorizing and ranking performance indicators of schools using Q method by Seyed Mahmoud Jalilian, Shahnaz Naibzadeh, seyyed hasan hataminasab, seyed ali almodaresi

“…In this research, the dimensions of the educational model based on the development of students' identity with the Iranian-Islamic approach includes educational goals and content, teaching and learning methods, instructors and teachers, cultural factors, social factors, psychological factors, media, educational factors, and family factors. …”
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Mediating role of self-efficacy and cognitive flexibility in the relationship between critical thinking and positive mental health in Turkish nursing students: a cross-sectional st... by Eyüp Yurt, Çiğdem Müge Hayli

“…The findings recommend implementing targeted training programmes in nursing education curricula and perceived positive mental health support services through problem-based learning and simulation-based education.…”
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Nuances of an In-Between Space of Learning Through Auditory Approaches in Early Piano Instruction by Samuel E. Pang, Rebecca Y. P. Kan

“…Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. …”
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لترقية الطالبات على فهم كتاب القراءة الرشيدة بمعهد الزهرة العصري بيرون- آتشيه STUDY استخدام الأسلوب by Raihanil Phonna, Suhaimi Suhaimi, Yulistri Yulistri

“…Muthalaah's learning process usually takes place with lecture methods and sometimes some teachers use the Jigsaw method in the learning process. …”
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Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

“…Finally, a cross-validation performance analysis was conducted using a machine learning model and good accuracy was obtained. Some of the key findings suggested that due to the existence of the flat heat radiator, the fluid flow and temperature profiles were distributed from the central position but the upper side of the cavity mostly experienced the greater rate of fluid and heat transfer. …”
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Innovating care for people with sarcoidosis using a machine learning-driven approach by Vivienne Kahlmann, Astrid Dunweg, Heleen Kicken, Nick Jelicic, Johanna M. Hendriks, Richard Goossens, Marlies S. Wijsenbeek, Jiwon Jung

“…So far, patient perspectives are based on survey- and qualitative research. Aim We aimed to assess patient-driven perspectives on their care trajectories using a novel machine learning-driven approach (MLD). …”
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The Effect of Workplace Climate on Psychological Capital and Informal Learning of Physical Education Teachers by Nasser Bai, Zahra Ghasemi

“…Also, the effect of workplace climate on informal learning of physical education teachers was positive and significant. …”
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Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis by L. Lakshmi, Ali B.M. Ali, K Dhana Sree Devi, Muhammad Rafiq, Iskandar Shernazarov, Nashwan Adnan Othman, M. Ijaz Khan

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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…In our approach, edge clients perform real-time learning with continuous streaming local data. At the edge clients, we model intra-service behaviors and inter-service dependencies in multi-source distributed data based on a Span Causal Graph (SCG) representation and train a model through a combination of Graph Neural Network (GNN) and Positive and Unlabeled (PU) learning. …”
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Motivation to Transfer Training and Individual Performance: the Influence of Transformative Learning and Supervisor Support by Emiliana Sri Pudjiarti, Honorata Ratnawati Dwi Putranti, Nurchayati Nurchayati

“…This article discusses the mediating role of motivation to training transfer as mediation in the relationship between supervisor support and transformative learning on lecturer performance. Survey methods and purposive non random sampling techniques were used with the help of a questionnaire based on a 7-point Likert scale. …”
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Cross-Linguistic Influences of Learning German in Finnish and German Upper Secondary Schools by Esa M. Penttinen, Heiner Böttger

“…The main results showed that the positive transfer on learning German was based on the perceived (objective) similarity of languages while the negative transfer was based on assumed (subjective) similarities which were in conflict with actual (objective) differences in German language learning processes and experiences of language learning. …”
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FACTORS AFFECTING THE ATTITUDE OF STUDENTS TOWARDS LEARNING ENGLISH AS A FOREIGN LANGUAGE by B. Baigal

“…The results suggest that participants have a significantly positive attitude towards learning English, particularly regarding its importance for future job prospects. …”
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Implementation of Independent Curriculum Learning at Cimone State Elementary School Tangerang City by Mia Alfiatun Najah, Yeni Nuraeni, Ina Magdalena

“…The results of the study show that the implementation of this curriculum involves the active role of teachers, the availability of resources, and the learning needs of students who are very diverse. Teachers are required to be more creative and adaptive in managing project-based learning, while students respond positively because they feel more free to express their interests and talents. …”
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Action Research on Integrating a Blended Learning Reading Course in Higher Education by Radia Bouguebs

“… Adopting a Blended learning approach in higher education is often a daunting task mainly if the e-learning based instruction model is not approached for fear of obstacles that may hinder rather than advance the teaching/learning process. …”
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Multi-Modalities in Mobile Technology for Assisted Learning Performance in Higher Education in China by Ruichen Yuan, Habibah Ab Jalil, Muhd Khaizer Omar

“…This study employed mixed methods to investigate the current multi-modality situation in learning application utilization among 300 university students in China, where a rapid educational technology revolution is occurring. …”
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Social-emotional learning as a framework for foreign language instruction and teacher development by Kyrpa Anna

“…The results of a grant study conducted in Ukraine showed a positive impact of SEL on the pedagogical practice of teachers, in particular, on increasing confidence in the use of SEL methods and creating a supportive learning environment. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

“…Our experimental results demonstrate that: (i) XGBCLUS enhances true positive rate (TPR) and receiver operating characteristic-area under curve (ROC-AUC) scores compared to state-of-the-art under-sampling and over-sampling techniques, and (ii) our proposed ensemble classifiers outperform traditional single tree-based machine learning classifiers in terms of accuracy, TPR, and false positive rate (FPR) scores.…”
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