{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T09:14:00Z","timestamp":1765012440524,"version":"3.46.0"},"reference-count":26,"publisher":"Wiley","issue":"27-28","license":[{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Concurrency and Computation"],"published-print":{"date-parts":[[2025,12,25]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Over the last decade, the eSports industry has experienced significant growth. World\u2010class eSports players now enter contracts with a team, follow a strict training regimen, and compete in tournaments. Just like conventional athletes, most eSports competitors suffer injuries that deeply affect their performance or would prevent them from training or competing. Moreover, the accuracy of performance predictions in existing studies is often constrained by insufficient prediction models. Thus, in this work, an advanced optimization\u2010enabled deep learning approach is modeled for player re\u2010identification and skill prediction. Primarily, the data collected from the eSports Sensor Dataset undergoes a feature selection process. This feature selection is done by using Serial Exponential\u2010Ring TossGame\u2010Based Optimization (SeEXP\u2010RTGBO) method, which combines Serial Exponential Moving Average concept with the Ring Toss Game\u2010Based Optimization (RTGBO) technique. Then, feature fusion is executed by using Morisita's overlap index and Bi\u2010LSTM attention. The main aim of feature fusion is to enhance model performance by combining complementary information from multiple features, which leads to more accurate and robust predictions. Subsequently, skill predictions and player re\u2010identification are established by using Deep Maxout Network (DMN), which is optimized using the proposed SeEXP\u2010RTGBO. Ultimately, an empirical assessment is conducted by evaluating various metrics, including accuracy, sensitivity, and specificity. In this context, the presented approach achieved an accuracy of 0.959, sensitivity of 0.961, and specificity of 0.956, thereby demonstrating superiority over previously established models.<\/jats:p>","DOI":"10.1002\/cpe.70442","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T23:00:46Z","timestamp":1763420446000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Skill Prediction and Player Re\u2010Identification Using Serial Exponential Ring Toss Game\u2010Based Optimization Based Deep Maxout Network"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0204-7122","authenticated-orcid":false,"given":"Tzu\u2010Chia","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence Tamkang University  New Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,11,17]]},"reference":[{"key":"e_1_2_9_2_1","article-title":"Collection and Validation of Psychophysiological Data From Professional and Amateur Players: A Multimodal Esports Dataset","author":"Smerdov A.","year":"2020","journal-title":"arXiv"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/e25010028"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s44163-024-00139-y"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-51767-4"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.14278"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01801-0"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01935-1"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CoG51982.2022.9893671"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-36657-5"},{"key":"e_1_2_9_11_1","article-title":"Person Re\u2010Identification Using Deep Learning Networks: A Systematic Review","author":"Yadav A.","year":"2020","journal-title":"arXiv"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104658"},{"key":"e_1_2_9_13_1","article-title":"Evaluating Deep Tracking Models for Player Tracking in Broadcast Ice Hockey Video","author":"Vats K.","year":"2022","journal-title":"arXiv"},{"key":"e_1_2_9_14_1","article-title":"Player Re\u2010Identification Using Body Part Appearences","author":"Bhosale M.","year":"2023","journal-title":"arXiv"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.5220\/0010341706530660"},{"key":"e_1_2_9_16_1","article-title":"Evaluating Soccer Player: From Live Camera to Deep Reinforcement Learning","author":"Garnier P.","year":"2021","journal-title":"arXiv"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/SENSORS47125.2020.9278704"},{"key":"e_1_2_9_18_1","first-page":"1","article-title":"An Efficient Machine Learning Approach for Extracting eSports Players' Distinguishing Features and Classifying Their Skill Levels Using Symbolic Transfer Entropy and Consensus Nested Cross\u2010Validation","volume":"20","author":"Noroozi A.","year":"2024","journal-title":"International Journal of Data Science and Analytics"},{"issue":"1","key":"e_1_2_9_19_1","first-page":"267","article-title":"Modelling Player Skills in Rocket League Through a Behavioural Pattern Mining Approach","volume":"1","author":"Johar S.","year":"2024","journal-title":"PatternIQ Mining"},{"key":"e_1_2_9_20_1","article-title":"AI\u2010Enabled Prediction of Esports Player Performance Using the Data From Heterogeneous Sensors","volume":"82","author":"Smerdov A.","year":"2020","journal-title":"arXiv"},{"key":"e_1_2_9_21_1","unstructured":"eSports_Sensors_Dataset Accessd on June 2024 https:\/\/github.com\/smerdov\/eSports_Sensors_Dataset."},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2021.0630.46"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707763"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610919208813040"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.3354\/meps005125"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/440\/3\/032115"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11244137"}],"container-title":["Concurrency and Computation: Practice and Experience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/cpe.70442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T09:10:23Z","timestamp":1765012223000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/cpe.70442"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,17]]},"references-count":26,"journal-issue":{"issue":"27-28","published-print":{"date-parts":[[2025,12,25]]}},"alternative-id":["10.1002\/cpe.70442"],"URL":"https:\/\/doi.org\/10.1002\/cpe.70442","archive":["Portico"],"relation":{},"ISSN":["1532-0626","1532-0634"],"issn-type":[{"type":"print","value":"1532-0626"},{"type":"electronic","value":"1532-0634"}],"subject":[],"published":{"date-parts":[[2025,11,17]]},"assertion":[{"value":"2025-08-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-04","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70442"}}