Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…We then apply transfer learning to extract both features from a depression dataset, followed by fusion. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…The use of big data analytics, artificial intelligence, and machine learning allows tourism businesses to gain deep insights into customer preferences and behaviors. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The one-hot encoding technique is a standard technique in machine learning for encoding protein sequences into data that can be used in neural networks.The proposed QLSTM outperformed existing deep learning architectures such as the Attention-Augmented Convolutional Neural Network (AACNN), Stacked Recurrent Neural Network (Stacked RNN), Retention Network (RetNet), and Bidirectional Long Short Term Memory (BiLSTM). …”
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LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

“… The application of machine learning (ML) methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understanding of the molecular mechanisms underpinning cancer development and progression. …”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…Deep learning techniques have significantly advanced variant calling, pathogenicity prediction, splicing analysis, and MHC-peptide binding predictions in genetics. …”
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Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals by Ayanda I. Nciki, Linda T. Hlabangana

“…Contribution: Participants were positive about AI implementation in practice and in the registrar learning programme.…”
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The data-intensive research paradigm: challenges and responses in clinical professional graduate education by Chunhong Yang, Yijing Chen, Changshun Qian, Fangmin Shi, Fangmin Shi, You Guo, You Guo, You Guo, You Guo, You Guo

“…With the widespread application of big data, artificial intelligence, and machine learning technologies in the medical field, a new paradigm of data-intensive clinical research is emerging as a key force driving medical advancement. …”
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Psychological Support in the Midst of VUCA Situations for Generation Z in the Finnish Education System by Eva Latipah

“…Data collection is conducted through in-depth interviews with teachers, school counselors, and education policymakers to explore their perspectives on the forms of support and strategies in place; participatory observation involving direct observation in schools to understand how psychological support is implemented in real educational settings; and documentation by analyzing Finnish education policy documents related to psychological support, learning guidelines, and student development programs. …”
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ENRICHING CLASSROOMS WITH TECHNOLOGY: EFFECTIVENESS OF ICT INTEGRATION IN TEACHING AGRICULTURAL SCIENCE IN SENIOR SECONDARY SCHOOLS IN BENUE STATE by GBEYONGU FREDERICK TERKIMBI, AKAA CHARITY WANGER, ONU DEBORAH OGBENE

“…Findings revealed amongst others that ICT devises if used in Agricultural Science instruction in teaching learning process, will boost learner’s performances, makes learning more interesting and enhances student’s retention abilities. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…In this context, machine learning-driven methods, especially those leveraging natural language models, have gained significant traction for developing effective techniques. …”
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A systematic review of the utility of assistive technologies for SEND students in schools by Kaussar Mukhtarkyzy, Laura Smagulova, Ainur Tokzhigitova, Nurgul Serikbayeva, Olzhas Sayakov, Asset Turkmenbayev, Rakhila Assilbayeva

“…The systematic review investigates the effect of various educational technologies on the learning outcomes of diverse student populations, particularly focusing on assistive technology interventions for students with disabilities. …”
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From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center by Marlene Pacharra, Tobias Otto, Nina Olivia Caroline Winter

“…The development of the metadata schema and its subsequent use are illustrated with particular emphasis on design principles that allow for reuse in other RDM domains and the lessons learned.…”
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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…In this paper, we evaluate quantum machine learning algorithms for entity matching on a hand-crafted data set and compare them to similar classical algorithms. …”
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EXPERIENCES OF CONDUCTING ONLINE EXAM PROCTORING IN LOW-RESOURCE SETTINGS: A SRI LANKAN CASE STUDY by Dilky N. Felsinger, Thilina Halloluwa, C. L. Ishani Fonseka

“… Online tests are becoming increasingly common as online learning gains popularity. Online assessments are more prone to academic dishonesty than traditional exams. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. …”
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Embracing diversity in adult education: creating an inclusive environment for Turkish-speaking newcomers in community settings by Emel Kiliç, Wolfgang Jacquet

“…Despite Belgium’s multicultural landscape, newcomers often struggle with learning local languages, hindering their integration and limiting their opportunities in the labour market. …”
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Perceptions of Teacher-trainees Towards using YouTube Videos to improve Conceptual Understanding of the Reactivity of Alkali Metals in Natural Sciences at a Rural University in Sou... by Vuyokazi Momoti

“…The findings of this research will enhance understanding of the importance of utilizing YouTube to support student learning. Educators can leverage this information to develop effective strategies for enhancing student learning by understanding what drives students to use YouTube for educational purposes.…”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The dataset was acquired from UCI machine learning repository website with a title ‘Crime and Communities’. …”
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The Impact of Private Education Sector to The Development of Bukimbiri Sub-County, Kisoro District. by Tibesigwa, David

“…Further it has improved learning outcomes and equity in educational opportunities. …”
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