{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T17:45:17Z","timestamp":1769708717752,"version":"3.49.0"},"reference-count":31,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,10,4]]},"abstract":"<jats:p>Vietnamese students are facing significant academic pressure due to societal and familial expectations, which leads to an unfavorable learning environment. We aim to employ a temporary spatial-temporal stress monitoring system. Using Wireless Sensor Network (WSN) technology, it collects data on students\u2019 emotional states and incorporates a prediction model, \u201cReduce Students\u2019 Stress in School\u201d (R3\u200aS), to detect students\u2019 emotional states across school premises. The integration of R3\u200aS and WSN is conducted in three stages. Initially, sensor nodes are deployed in schools to collect emotional data. Subsequently, we introduce a novel hybrid model combining a one-dimensional Convolutional Neural Network with Long Short-Term Memory networks (1D-CNN-LSTM) to generate a predictive emotional map. This model\u2019s performance, evaluated using RMSE and MAE metrics, shows exceptional precision compared to other LSTM models. When predicting the \u201cstress\u201d condition, the R3\u200aS model achieved a Mean Absolute Error (MAE) of 10.30 and a Root Mean Square Error (RMSE) of 0.041. Lastly, we generate a comprehensive map of cumulative emotional conditions, serving as a guide for school counselors. This map aids in fostering a healthy, conducive learning environment.<\/jats:p>","DOI":"10.3233\/jifs-232256","type":"journal-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T12:38:54Z","timestamp":1691152734000},"page":"6735-6749","source":"Crossref","is-referenced-by-count":1,"title":["Applying deep learning to wireless sensor networks for monitoring students\u2019 emotion in high schools"],"prefix":"10.1177","volume":"45","author":[{"given":"Le Quang","family":"Thao","sequence":"first","affiliation":[{"name":"Faculty of Physics, VNU University of Science, Hanoi, Vietnam"},{"name":"Vietnam National University, Hanoi, Vietnam"}]},{"given":"Nguyen Thi Bich","family":"Diep","sequence":"additional","affiliation":[{"name":"Ivycation Company, Hanoi, Vietnam"}]},{"given":"Ngo Chi","family":"Bach","sequence":"additional","affiliation":[{"name":"Faculty of Physics, VNU University of Science, Hanoi, Vietnam"},{"name":"Vietnam National University, Hanoi, Vietnam"}]},{"given":"Duong Duc","family":"Cuong","sequence":"additional","affiliation":[{"name":"Vietnam National University, Hanoi, Vietnam"}]},{"given":"Le Khanh","family":"Linh","sequence":"additional","affiliation":[{"name":"Reigate Grammar School of Vietnam, Hanoi, Vietnam"}]},{"given":"Nguyen Viet","family":"Linh","sequence":"additional","affiliation":[{"name":"Hanoi-Amsterdam High School for the Gifted, Hanoi, Vietnam"}]},{"given":"Tran Ngoc Bao","family":"Linh","sequence":"additional","affiliation":[{"name":"Nguyen Sieu School, Hanoi, Vietnam"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-232256_ref1","first-page":"1","article-title":"Sources of stress and their associations with mental disorders among college students: Results of the World Health Organization world mental health surveys international college student initiative","volume":"11","author":"Eirini","year":"2020","journal-title":"Frontiers in Psychology"},{"key":"10.3233\/JIFS-232256_ref2","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1111\/jora.12688","article-title":"Bullying prevention in adolescence: Solutions and new challenges from the past decade","volume":"31","author":"Salmivalli","year":"2021","journal-title":"J Res Adolesc"},{"key":"10.3233\/JIFS-232256_ref3","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1007\/s11121-021-01254-3","article-title":"The potential of anti-bullying efforts to prevent academic failure and youth crime. 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