Добірка наукової літератури з теми "Attentiveness classification"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Attentiveness classification".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Attentiveness classification"
Peng, Chia-Ju, Yi-Chun Chen, Chun-Chuan Chen, Shih-Jui Chen, Barthélemy Cagneau, and Luc Chassagne. "An EEG-Based Attentiveness Recognition System Using Hilbert–Huang Transform and Support Vector Machine." Journal of Medical and Biological Engineering 40, no. 2 (November 26, 2019): 230–38. http://dx.doi.org/10.1007/s40846-019-00500-y.
Повний текст джерелаBalconi, Michela, and Laura Angioletti. "Inter-Brain Hemodynamic Coherence Applied to Interoceptive Attentiveness in Hyperscanning: Why Social Framing Matters." Information 14, no. 2 (January 17, 2023): 58. http://dx.doi.org/10.3390/info14020058.
Повний текст джерелаAkhtar, Zain Ul Abiden, Hafiz Faiz Rasool, Muhammad Asif, Wali Ullah Khan, Zain ul Abidin Jaffri, and Md Sadek Ali. "Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles." Wireless Communications and Mobile Computing 2022 (May 5, 2022): 1–18. http://dx.doi.org/10.1155/2022/7353080.
Повний текст джерелаJeong, Dong-Hwa, and Jaeseung Jeong. "In-Ear EEG Based Attention State Classification Using Echo State Network." Brain Sciences 10, no. 6 (May 26, 2020): 321. http://dx.doi.org/10.3390/brainsci10060321.
Повний текст джерелаXue, Rui, and Hokun Yi. "Advancement in Physical Education Teaching Using Improved Energy Efficient Scalable Routing Algorithm-Based Wireless Network." Wireless Communications and Mobile Computing 2022 (January 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/2308255.
Повний текст джерелаChatterjee, Indranath, Virendra Kumar, Sahil Sharma, Divyanshi Dhingra, Bharti Rana, Manoj Agarwal, and Naveen Kumar. "Identification of brain regions associated with working memory deficit in schizophrenia." F1000Research 8 (January 30, 2019): 124. http://dx.doi.org/10.12688/f1000research.17731.1.
Повний текст джерелаRead, Blair, Lukas Wolters, and Adam J. Berinsky. "Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys." Political Analysis, September 15, 2021, 1–20. http://dx.doi.org/10.1017/pan.2021.32.
Повний текст джерела"Classification of Malignant Melanoma and Benign Lung Cancer by using Deep Learning Based Neural Network." International Journal of Innovative Technology and Exploring Engineering 9, no. 3 (January 10, 2020): 2958–63. http://dx.doi.org/10.35940/ijitee.k1704.019320.
Повний текст джерелаWang, Shaoming, Lindsey J. Tepfer, Adrienne A. Taren, and David V. Smith. "Functional parcellation of the default mode network: a large-scale meta-analysis." Scientific Reports 10, no. 1 (September 30, 2020). http://dx.doi.org/10.1038/s41598-020-72317-8.
Повний текст джерелаNamee, Khanista, Jantima Polpinij, and Bancha Luaphol. "A Hybrid Approach for Aspect-based Sentiment Analysis: A Case Study of Hotel Reviews." Current Applied Science and Technology 23, no. 2 (July 19, 2022). http://dx.doi.org/10.55003/cast.2022.02.23.008.
Повний текст джерелаДисертації з теми "Attentiveness classification"
Pohling, Rico. "Moralische Sensitivität – Die Grundlage für die Wahrnehmung gesellschaftlicher Verantwortung in Organisationen." Universitätsverlag der Technischen Universität Chemnitz, 2017. https://monarch.qucosa.de/id/qucosa%3A20909.
Повний текст джерелаThe present dissertation theoretically and empirically investigated the concept of moral sensitivity – the ability to recognize whether actions influence the well-being of other living beings. In the theoretical part, the relevant theoretical approaches were reviewed and condensed in a new integrative definition. The review of the theoretical accounts of moral sensitivity and the empirical findings revealed that various personality traits exist that decisively determine whether and how strongly an individual is morally sensitive. These determinants of moral sensitivity include the following personality traits: empathy, moral attentiveness, moral identity, and justice sensitivity. In the empirical part of the work, the relationships of these personality traits with moral decision-making and action and various study-specific hypotheses were examined. The cross-cultural generalizability of some empirical findings of the dissertation was finally examined in an intercultural study. The dissertation concludes with a comprehensive discussion of the empirical results and gives practical recommendations for organizations. Companies and other organizations can use the knowledge gained in this dissertation to optimize their human resource management in terms of selection and promotion of ethical competent employees.
Тези доповідей конференцій з теми "Attentiveness classification"
Negron, Timothy P., and Corey A. Graves. "Classroom Attentiveness Classification Tool (ClassACT): The system introduction." In 2017 IEEE International Conference on Pervasive Computing and Communications: Workshops (PerCom Workshops). IEEE, 2017. http://dx.doi.org/10.1109/percomw.2017.7917513.
Повний текст джерелаT. Gapi, Kevin, Ronald Matthew G. Magbitang, and Jocelyn F. Villaverde. "Classification of Attentiveness on Virtual Classrooms using Deep Learning for Computer Vision." In ICBET '21: 2021 11th International Conference on Biomedical Engineering and Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460238.3460244.
Повний текст джерелаYerofeyeva, Alina, and Tatyana Kokhanover. "THE RELEVANCE OF THE DEVELOPMENT OF PERCEPTUAL ABILITIES IN CHILDREN OF PRIMARY SCHOOL AGE." In Modern pedagogical technologies in foreign language education: trends, transformations, vectors of development. ACCESS Press, 2021. http://dx.doi.org/10.46656/proceeding.2021.foreign.language(35).
Повний текст джерела