EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation by Ch Anwar Ul Hassan, Muhammad Ehatisham-ul-Haq, Fiza Murtaza, Aman Ullah Yasin, Syed Sajid Ullah

“…This paper proposes the EmoTrans model, which uses the DEAP dataset to analyze physiological signals and facial video recordings. …”
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The role of trust in financial robo-advisory adoption: A case of young retail investors in Pakistan by Zahid Bashir, Sadia Farooq, Muhammad Sabeeh Iqbal, Muhammad Aamir

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Abusive behavior of employees against their managers: an explorative study by Galit Avisar, Tami Cohen, Aharon Tziner, Hadara Bar-Mor

“…The statements were assessed on a Likert scale of 1 (“I cannot remember him/her ever using this behavior with me”) to 5 (“He/she uses this behavior very often with me”).ResultsSeveral significant associations were found between managers’ exposure to abuse and some of the respondents’ demographic data such as age, gender, seniority in the workplace, and tenure.ConclusionThe result of this exploratory study indicates that many employees and managers are aware of the existence and various aspects of upward abuse as it is expressed in organizations. …”
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AI adoption in accounting education: A UTAUT-based analysis of mediating and moderating mechanisms by Mengrong Han, Hasri Mustafa, Saira Kharuddin

“…By extending the Unified Theory of Acceptance and Use of Technology [UTAUT] model, it addresses gaps in understanding the social and behavioral factors influencing AI adoption within the educational context. …”
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Psychometric Properties for the Malay Version of the Assessment of Criteria for Specific Internet-use Disorders among Young Adults in Malaysia by Yan-Li Siaw, Kah-Heng Chua, Kamolthip Ruckwongpatr, Serene En Hui Tung, Wan Ying Gan, Wai Chuen Poon, Siti Rahayu Nadhiroh, Ira Nurmala, Servet Üztemur, I-Hua Chen, Mark D. Griffiths, Chung-Ying Lin

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Dependency-based fault diagnosis approach for SOA-based systems using Colored Petri Nets by Guru Prasad Bhandari, Ratneshwer

“…This paper aims to present a fault detection approach of SOA using dependency analysis. Data and control dependencies are identified and a fault diagnosis approach based on these dependencies is proposed in this paper. …”
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

“…Predictor variables included maternal sociodemographic, clinical, and behavioral factors. Four ML algorithms Random Forest, XGBoost, CatBoost, and LightGBM, were trained using an 80/20 train-test split and 10-fold cross-validation. …”
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KL-FedDis: A federated learning approach with distribution information sharing using Kullback-Leibler divergence for non-IID data by Md. Rahad, Ruhan Shabab, Mohd. Sultan Ahammad, Md. Mahfuz Reza, Amit Karmaker, Md. Abir Hossain

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Auto-Scenario Generator for Autonomous Vehicle Safety: Multi-Modal Attention-Based Image Captioning Model Using Digital Twin Data by Hojun Lee, Jaein Song, Keeyeon Hwang, Minhee Kang

“…We devise a multi-modal image captioning model, referred to as Auto Scenario Generator (Auto-SG), which automatically generates accident scenarios using digital twin data. This model consists of inception-v3, attention mechanism, and GRU. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

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A joint model of place of residence (POR) and place of work (POW): Making use of Gibbs sampling technique to overcome arbitrary assumptions in contexts of data limitation by Hengyang Zhang, Jason Hawkins, Khandker Nurul Habib

“…Recognizing such data limitation, this paper presents an alternative methodology of modelling joint distribution of POW-POW that uses disaggregate choice models without necessarily knowing the sequence of POR and POW choices. …”
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Artificial Intelligence Teaching System and Data Processing Method Based on Big Data by Bo Xu

“…Based on relevant researches on domestic and foreign related learning analysis and common big data analysis methods, combined with actual learning evaluation goals, this paper proposes an artificial intelligence teaching system using big data analysis methods and a modeling process framework for online learning evaluation and uses student data to carry out predictive evaluation modeling to evaluate student learning outcomes. …”
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Assessing visibility at highway-rail grade crossings using light detection and ranging (LiDAR) technology by Mohsen Naghdi, Pasi Lautala, Abdolmajid Erfani

“…Although previous studies have addressed behavioral and safety issues, the literature currently lacks quantitative data analysis of sightlines at HRGCs. …”
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Paylater as The Millennial Payment: Theory Planned Behavior by Susan Fatmawati, Eko Suwardi

“…Primary data in the form of interviews in this study uses thematic analysis, by collecting and analyzing data, coding data, developing analytical ideas and concepts, and connecting analysis with the theory used. …”
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Using microhabitat thermal heterogeneity to avoid lethal overheating: an empirical approximation in reproductive oviparous and viviparous lizards by Saúl López-Alcaide, Constantino González-Salazar, Rodrigo Macip-Ríos, Enrique Martínez-Meyer

“…Here, we assessed whether 2 lizards, Sceloporus horridus (oviparous) and Sceloporus stejnegeri (viviparous) have been exposed to potential lethal thermal regimes where they inhabit, and whether behavioral use of microhabitat thermal heterogeneity has enabled them to avoid overheating on their offspring. …”
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Scan it - get it: A study on the socio-demographic characteristics of consumers using qr codes by Esma Ebru Şentürk

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What promotes the mobile payment behavior of the elderly? by Tianyang Huang, Gang Wang, Chiwu Huang

“…Structural equation modeling was employed to analyze data from 316 elderly participants. The results indicate that perceived ease of use directly affects perceived usefulness. …”
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Behavioral determinants of electricity consumption in dutch dwellings by Merve Bedir, Evert Hasselaar, Laure Itard

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Design and Developing of Health Information Behavior Questionnaire by Shahnaz Khademizadeh, Bahram Peymannia, Fatemeh Rafieinasab

“…Initially, a questionnaire for measuring this behavior was prepared using instrument design methods. …”
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Methods of Analysis the Motives for Legal Tax Behavior by M. R. Pinskaya, A. V. Tikhonova

“…The research methodology is based on the use of tools and methods of comparative analysis, tabular and graphical methods of data visualization. …”
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