{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T07:34:37Z","timestamp":1793259277351,"version":"4.5.0"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T00:00:00Z","timestamp":1793232000000},"content-version":"vor","delay-in-days":301,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:p>Identifying cricket shots from static pictures represents a difficult assignment because similarities between classes are high, the body position of the player is unclear, stadium surroundings are messy, and the perspective of the camera changes frequently. Recognition systems often give the wrong names to movements like drives and leg\u2010glances, which have nearly the same body postures and bat positions. Stadium side camera angles, blockage from safety gear, and busy stadium backgrounds make this difficulty worse. The study introduces shot\u2010sense cricket, which is a clear hybrid framework for cricket shot classification. Instead of looking at Efficient\u2010Net, XG\u2010Boost, SHAP, Media\u2010Pipe, SIFT, ORB, and GLCM as separate instruments, the framework brings a method that was checked with care. This method uses a confidence\u2010weighted late\u2010fusion architecture that joins pose\u2010based details, surface patterns, and local\u2010invariant features with deep Efficient\u2010Net embeddings. This architecture is joined with a SHAP\u2010driven diagnostic layer. This layer follows single wrong classifications back to the parts of the image that caused the errors. It has been observed that specific image regions are responsible for these mistakes. Totaling 4724 static images, the collection covers four cricket shot classes (drive, pull, sweep, and leg\u2010glance\/flick), Many tests were done on four groups of hand\u2010made features, six classification programs, and three Efficient\u2010Net versions. These tests show that the adjusted Media\u2010Pipe\u2009+\u2009XG\u2010Boost setup reaches a 98.0% test accuracy. The proposed late\u2010fusion framework reaches a 97.5% accuracy while showing better strength against background noise. The proposed framework offers a scalable, computationally efficient alternative to purely deep learning pipelines for image\u2010based cricket analytics and lays the groundwork for future video\u2010based and temporal (e.g., LSTM\u2010based) extensions.<\/jats:p>","DOI":"10.1155\/acis\/5851568","type":"journal-article","created":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T07:23:58Z","timestamp":1793258638000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Shot\u2010Sense Cricket: An Interpretable Hybrid Framework Combining Machine Learning and Efficient\u2010Net for Robust Cricket Shot Classification"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2978-152X","authenticated-orcid":false,"given":"Fenil","family":"Vadher","sequence":"first","affiliation":[{"name":"Department of Information and Communication Technology Marwadi University  Rajkot 360003 Gujarat India  marwadieducation.edu.in"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4056-4156","authenticated-orcid":false,"given":"Nishith","family":"Kotak","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Technology Marwadi University  Rajkot 360003 Gujarat India  marwadieducation.edu.in"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chandrasinh","family":"Parmar","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Technology Marwadi University  Rajkot 360003 Gujarat India  marwadieducation.edu.in"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0833-7954","authenticated-orcid":false,"given":"Praveen Kumar","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering School of Engineering and Sciences MIT Art Design and Technology University  Pune 412201 Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2655-949X","authenticated-orcid":false,"given":"Irfan","family":"Nurhidayat","sequence":"additional","affiliation":[{"name":"Pendidikan Dasar, Program Pascasarjana Universitas Majalengka  Majalengka 45418 Jawa Barat Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7771-9138","authenticated-orcid":false,"given":"Abdul Raqib","family":"Muslimyar","sequence":"additional","affiliation":[{"name":"Department of Mathematics Faculty of Natural Sciences Kabul Education University  Kabul 1001 Afghanistan  uoh.edu.sa"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,29]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"crossref","unstructured":"SemwalA. 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