{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T01:26:29Z","timestamp":1771464389990,"version":"3.50.1"},"reference-count":36,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T00:00:00Z","timestamp":1617840000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems"],"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aim<\/jats:title><jats:p>Fruit category classification is important in factory packing and transportation, price prediction, dietary intake, and so forth.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study proposed a novel artificial intelligence system to classify fruit categories. First, 2D fractional Fourier entropy with rotation angle vector grid was used to extract features from fruit images. Afterwards, a five\u2010layer stacked sparse autoencoder was used as the classifier.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Ten runs on the test set showed our method achieved a micro\u2010averaged F1 score of 95.08% for an 18\u2010category fruit dataset.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our method gives better micro\u2010averaged F1 score than 10 state\u2010of\u2010the\u2010art approaches.<\/jats:p><\/jats:sec>","DOI":"10.1111\/exsy.12701","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T17:50:37Z","timestamp":1617904237000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4870-1493","authenticated-orcid":false,"given":"Yu\u2010Dong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Informatics University of Leicester  Leicester UK"},{"name":"School of Computer Science and Technology Henan Polytechnic University  Jiaozuo PR China"}]},{"given":"Suresh Chandra","family":"Satapathy","sequence":"additional","affiliation":[{"name":"School of Computer Engineering KIIT Deemed to University  Bhubaneswar India"}]},{"given":"Shui\u2010Hua","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology Henan Polytechnic University  Jiaozuo PR China"}]}],"member":"311","published-online":{"date-parts":[[2021,4,8]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"Aok S. 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