{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:50:51Z","timestamp":1767340251485,"version":"3.41.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"4-5","license":[{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T00:00:00Z","timestamp":1745625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1007\/s12652-025-04973-5","type":"journal-article","created":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T05:34:48Z","timestamp":1745645688000},"page":"667-683","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Multi-Sport Smart Tracker for Athlete Talent Identification"],"prefix":"10.1007","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8584-0822","authenticated-orcid":false,"given":"Khaled","family":"Necibi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3075-2257","authenticated-orcid":false,"given":"Ahmed-Chawki","family":"Chaouche","sequence":"additional","affiliation":[]},{"given":"Zakaria","family":"Soukeur","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,26]]},"reference":[{"issue":"8","key":"4973_CR1","doi-asserted-by":"publisher","first-page":"5699","DOI":"10.1007\/s10462-021-09975-1","volume":"54","author":"MM Bejani","year":"2021","unstructured":"Bejani MM, Ghatee M (2021) A systematic review on overfitting control in shallow and deep neural networks. Artif Intell Rev 54(8):5699\u20135753. https:\/\/doi.org\/10.1007\/s10462-021-09975-1","journal-title":"Artif Intell Rev"},{"key":"4973_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/S40537-020-00316-7\/FIGURES\/7","volume":"7","author":"T Bikku","year":"2020","unstructured":"Bikku T (2020) Multi-layered deep learning perceptron approach for health risk prediction. J Big Data 7:1\u201314. https:\/\/doi.org\/10.1186\/S40537-020-00316-7\/FIGURES\/7","journal-title":"J Big Data"},{"issue":"3\u20134","key":"4973_CR3","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1504\/IJAIP.2023.132377","volume":"25","author":"T Bikku","year":"2023","unstructured":"Bikku T (2023) Fuzzy associated trust-based data security in cloud computing by mining user behaviour. Int J Adv Intell Paradigms 25(3\u20134):382\u2013397. https:\/\/doi.org\/10.1504\/IJAIP.2023.132377","journal-title":"Int J Adv Intell Paradigms"},{"key":"4973_CR4","unstructured":"Collins\u00a0Dictionary (2025) Talent definition and meaning | Collins English dictionary"},{"key":"4973_CR5","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1023\/A:1022627411411\/METRICS","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273\u2013297. https:\/\/doi.org\/10.1023\/A:1022627411411\/METRICS","journal-title":"Mach Learn"},{"key":"4973_CR6","doi-asserted-by":"crossref","unstructured":"de Le\u00f3n D\u00edaz, Rodr\u00edguez ID, Zareei M, de Le\u00f3n Langur\u00e9 A, (2025) Talent identification in football using supervised machine learning. In: Advances in computational intelligence. Springer Nature Switzerland, Cham, pp 16\u201327","DOI":"10.1007\/978-3-031-75540-8_2"},{"issue":"24","key":"4973_CR7","doi-asserted-by":"publisher","first-page":"6308","DOI":"10.3390\/RS14246308","volume":"14","author":"HX Dou","year":"2022","unstructured":"Dou HX, Lu XS, Wang C, Shen HZ, Zhuo YW, Deng LJ (2022) Patchmask: a data augmentation strategy with gaussian noise in hyperspectral images. Remote Sens 14(24):6308. https:\/\/doi.org\/10.3390\/RS14246308","journal-title":"Remote Sens"},{"key":"4973_CR8","unstructured":"Eggert B, Mundt M, Markert B (2020) Imu-based activity recognition of the basketball jump shot. In: 38th International society of biomechanics in sport conference"},{"issue":"110","key":"4973_CR9","first-page":"986","volume":"150","author":"J Guo","year":"2024","unstructured":"Guo J, Wu H, Chen X, Lin W (2024) Adaptive sv-borderline smote-svm algorithm for imbalanced data classification. Appl Soft Comput 150(110):986","journal-title":"Appl Soft Comput"},{"issue":"3","key":"4973_CR10","doi-asserted-by":"publisher","first-page":"125","DOI":"10.2478\/ijcss-2019-0021","volume":"18","author":"S Jauhiainen","year":"2019","unstructured":"Jauhiainen S, \u00c4yr\u00e4m\u00f6 S, Forsman H, Kauppi J (2019) Talent identification in soccer using a one-class support vector machine. Int J Comput Sci Sport 18(3):125\u2013136","journal-title":"Int J Comput Sci Sport"},{"key":"4973_CR11","doi-asserted-by":"publisher","first-page":"2513","DOI":"10.1007\/S41870-022-00984-Z","volume":"14","author":"NJ Khan","year":"2022","unstructured":"Khan NJ, Ahamad G, Naseem M (2022) An iot\/fog based framework for sports talent identification in covid-19 like situations. Int J Inf Technol Off J Bharati Vidyapeeth\u2019s Inst Comput Appl Manage 14:2513\u20132521. https:\/\/doi.org\/10.1007\/S41870-022-00984-Z","journal-title":"Int J Inf Technol Off J Bharati Vidyapeeth\u2019s Inst Comput Appl Manage"},{"key":"4973_CR12","doi-asserted-by":"publisher","first-page":"9958256","DOI":"10.1155\/2021\/9958256","volume":"2021","author":"S Lu","year":"2021","unstructured":"Lu S, Zhang X, Wang J, Wang Y, Fan M, Zhou Y (2021) An iot-based motion tracking system for next-generation foot-related sports training and talent selection. J Healthc Eng 2021:9958256","journal-title":"J Healthc Eng"},{"key":"4973_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-67256-9_15","author":"ABT Mcauley","year":"2024","unstructured":"Mcauley ABT, Baker J, Johnston K, Kelly AL, Mcauley ABT, Kelly AL, Kelly AL, Baker J, Johnston K (2024) Artificial intelligence in talent identification and development in sport. Artif Intell Sports Movement Health. https:\/\/doi.org\/10.1007\/978-3-031-67256-9_15","journal-title":"Artif Intell Sports Movement Health"},{"key":"4973_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-48232-8_39","author":"T Miftahushudur","year":"2023","unstructured":"Miftahushudur T, Sahin HM, Grieve B, Yin H (2023) Enhanced svm-smote with cluster consistency for imbalanced data classification. LNCS. https:\/\/doi.org\/10.1007\/978-3-031-48232-8_39","journal-title":"LNCS"},{"key":"4973_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-024-00529-6","author":"A Noroozi","year":"2024","unstructured":"Noroozi A, Hasan MS, Ravan M, Norouzi E, Law YY (2024) An efficient machine learning approach for extracting esports players\u2019 distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation. Int J Data Sci Anal. https:\/\/doi.org\/10.1007\/s41060-024-00529-6","journal-title":"Int J Data Sci Anal"},{"key":"4973_CR16","doi-asserted-by":"publisher","DOI":"10.3390\/sports10030035","author":"J Owen","year":"2022","unstructured":"Owen J, Owen R, Hughes J, Leach J, Anderson D, Jones E (2022) Psychosocial and physiological factors affecting selection to regional age-grade rugby union squads: a machine learning approach. Sports. https:\/\/doi.org\/10.3390\/sports10030035","journal-title":"Sports"},{"key":"4973_CR17","doi-asserted-by":"publisher","first-page":"19","DOI":"10.5121\/ijdkp.2018.8203","volume":"8","author":"K Passi","year":"2018","unstructured":"Passi K, Pandey N (2018) Increased prediction accuracy in the game of cricket using machine learning. Int J Data Min Knowl Manage Process 8:19\u201336. https:\/\/doi.org\/10.5121\/ijdkp.2018.8203","journal-title":"Int J Data Min Knowl Manage Process"},{"key":"4973_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/11-BA601","volume":"6","author":"NG Polson","year":"2011","unstructured":"Polson NG, Scott SL (2011) Data augmentation for support vector machines. Bayesian Anal 6:1\u201323. https:\/\/doi.org\/10.1214\/11-BA601","journal-title":"Bayesian Anal"},{"key":"4973_CR19","doi-asserted-by":"publisher","first-page":"5336","DOI":"10.1109\/CCDC62350.2024.10587816","volume":"2024","author":"H Qu","year":"2024","unstructured":"Qu H, Zhang Z (2024) A time series data augmentation method based on smote. CCDC 2024:5336\u20135341. https:\/\/doi.org\/10.1109\/CCDC62350.2024.10587816","journal-title":"CCDC"},{"key":"4973_CR20","doi-asserted-by":"publisher","first-page":"20","DOI":"10.61838\/KMAN.AITECH.2.2.4","volume":"2","author":"M Rahmani","year":"2024","unstructured":"Rahmani M, Majedi N, Hemmatinejad M, Jamshidi A (2024) Application of artificial intelligence in the sports industry: a review article. AI Tech Behav Soc Scii 2:20\u201327. https:\/\/doi.org\/10.61838\/KMAN.AITECH.2.2.4","journal-title":"AI Tech Behav Soc Scii"},{"key":"4973_CR21","doi-asserted-by":"publisher","first-page":"114","DOI":"10.3390\/RS13010114","volume":"13","author":"J Ren","year":"2021","unstructured":"Ren J, Wang R, Liu G, Wang Y, Wu W (2021) An svm-based nested sliding window approach for spectral-spatial classification of hyperspectral images. Remote Sens 13:114. https:\/\/doi.org\/10.3390\/RS13010114","journal-title":"Remote Sens"},{"key":"4973_CR22","doi-asserted-by":"publisher","unstructured":"Reyaz N, Ahamad G, Khan NJ, Naseem M (2022) Machine learning in sports talent identification: a systematic review. In: ICEFEET 2022. Institute of Electrical and Electronics Engineers Inc. https:\/\/doi.org\/10.1109\/ICEFEET51821.2022.9848247","DOI":"10.1109\/ICEFEET51821.2022.9848247"},{"key":"4973_CR23","unstructured":"Rezaei H, Sabokrou M (2023) Overfitting quantification in deep neural networks: an analysis through null space. arXiv preprint"},{"key":"4973_CR24","unstructured":"Sanyal A, Chatterji V, Vyas N, Epstein B, Demir N, Corletti A (2021) Fix your models by fixing your datasets. arXiv:2112.07844"},{"key":"4973_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/S11277-024-10908-8\/METRICS","author":"KK Singamaneni","year":"2024","unstructured":"Singamaneni KK, Budati AK, Bikku T (2024) An efficient q-kpabe framework to enhance cloud-based iot security and privacy. Wirel Pers Commun. https:\/\/doi.org\/10.1007\/S11277-024-10908-8\/METRICS","journal-title":"Wirel Pers Commun"},{"key":"4973_CR26","doi-asserted-by":"publisher","first-page":"563","DOI":"10.3390\/S25020563\/S1","volume":"25","author":"H Sonalcan","year":"2025","unstructured":"Sonalcan H, Bilen E, Ate\u00e7 B, \u00c7a\u011fda\u00e7 Se\u00e7kin A (2025) Action recognition in basketball with inertial measurement unit-supported vest. Sensors 25:563. https:\/\/doi.org\/10.3390\/S25020563\/S1","journal-title":"Sensors"},{"key":"4973_CR27","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14020128","author":"PN Srinivasu","year":"2024","unstructured":"Srinivasu PN, Sirisha U, Sandeep K, Praveen SP, Maguluri LP, Bikku T (2024) An interpretable approach with explainable ai for heart stroke prediction. Diagnostics. https:\/\/doi.org\/10.3390\/diagnostics14020128","journal-title":"Diagnostics"},{"key":"4973_CR28","unstructured":"Szekely B, Sinnott C, Halow S, Ryan G (2023) Nfl career success as predicted by nfl scouting combine. arXiv preprint arXiv:2303.05774"},{"key":"4973_CR29","doi-asserted-by":"publisher","DOI":"10.1145\/3627157","author":"Z Wan","year":"2024","unstructured":"Wan Z, Wang Z, Chung C, Wang Z (2024) A survey of dataset refinement for problems in computer vision datasets. ACM Comput Surv. https:\/\/doi.org\/10.1145\/3627157","journal-title":"ACM Comput Surv"},{"key":"4973_CR30","doi-asserted-by":"publisher","first-page":"75728","DOI":"10.1109\/ACCESS.2020.2988880","volume":"8","author":"C Zou","year":"2020","unstructured":"Zou C, Zhang Q, Wei X, Liu C (2020) Image encryption based on improved Lorenz system. IEEE Access 8:75728\u201375740. https:\/\/doi.org\/10.1109\/ACCESS.2020.2988880","journal-title":"IEEE Access"},{"key":"4973_CR31","doi-asserted-by":"crossref","unstructured":"Zuo W, Arede J, Shang X, Leite N (2024) Application of artificial intelligence in team sports talent identification: a systematic literature review. In: ICSTPA 2024","DOI":"10.1145\/3723936.3724003"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-025-04973-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-025-04973-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-025-04973-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T12:44:22Z","timestamp":1747831462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-025-04973-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,26]]},"references-count":31,"journal-issue":{"issue":"4-5","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["4973"],"URL":"https:\/\/doi.org\/10.1007\/s12652-025-04973-5","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2025,4,26]]},"assertion":[{"value":"22 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}