{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:26:13Z","timestamp":1753885573010,"version":"3.41.2"},"reference-count":0,"publisher":"Inderscience Publishers","issue":"1\/2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJDATS"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1504\/ijdats.2023.10055387","type":"journal-article","created":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T13:04:01Z","timestamp":1680699841000},"page":"1","source":"Crossref","is-referenced-by-count":0,"title":["Improving the Accuracy of Real Field Pomegranate Fruit Diseases Detection and Visualization using Convolution Neural Networks and Grad-CAM"],"prefix":"10.1504","volume":"15","author":[{"given":"Sheetal","family":"Rathi","sequence":"first","affiliation":[]},{"given":"Vaishali","family":"Nirgude","sequence":"additional","affiliation":[]}],"member":"378","container-title":["International Journal of Data Analysis Techniques and Strategies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.inderscienceonline.com\/doi\/full\/10.1504\/IJDATS.2023.10055387","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T13:04:02Z","timestamp":1680699842000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.inderscience.com\/link.php?id=10055387"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":0,"journal-issue":{"issue":"1\/2","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.1504\/ijdats.2023.10055387","relation":{},"ISSN":["1755-8050","1755-8069"],"issn-type":[{"type":"print","value":"1755-8050"},{"type":"electronic","value":"1755-8069"}],"subject":[],"published":{"date-parts":[[2023]]},"article-number":"10055387"}}