{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T12:19:52Z","timestamp":1778933992594,"version":"3.51.4"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004595","name":"Universiti Sains Malaysia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3023681","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:10:39Z","timestamp":1600117839000},"page":"168036-168052","source":"Crossref","is-referenced-by-count":9,"title":["A Bootstrapping Soft Shrinkage Approach and Interval Random Variables Selection Hybrid Model for Variable Selection in Near-Infrared Spectroscopy"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2539-7521","authenticated-orcid":false,"given":"Hasan Ali","family":"Gamal Al-Kaf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7198-695X","authenticated-orcid":false,"given":"Nayef Abdulwahab","family":"Mohammed Alduais","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5687-8160","authenticated-orcid":false,"given":"Abdul-Malik H. Y.","family":"Saad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0854-8954","authenticated-orcid":false,"given":"Kim Seng","family":"Chia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3820-918X","authenticated-orcid":false,"given":"Abdulqader M.","family":"Mohsen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3947-269X","authenticated-orcid":false,"given":"Hitham","family":"Alhussian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1928-6232","authenticated-orcid":false,"given":"Ammar Abdo Mohammed","family":"Haidar Mahdi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7880-818X","authenticated-orcid":false,"given":"Wan Saiful-Islam","family":"Wan Salam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"112","article-title":"Artificial neural network and savitzky golay derivative in predicting blood hemoglobin using near-infrared spectrum","volume":"10","author":"idrus","year":"2018","journal-title":"Int J Integr Eng"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1255\/nirn.1216"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(95)80023-3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2013.09.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2013.11.032"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.02.007"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/1099-128X(200009\/12)14:5\/6<643::AID-CEM621>3.0.CO;2-E"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001523"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(97)00038-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1039\/C4AN00837E"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.09.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2019.01.018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2017.11.008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2012.06.031"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2013.11.032"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1039\/C4AN00730A"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1039\/C5RA08455E"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2009.06.046"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2012.01.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1300"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2016.01.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1153"},{"key":"ref3","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.11.002"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICOICE48418.2019.9035177"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2018.10.034"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/ac011177u"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2954115"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2009.07.007"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2019.01.022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(99)00048-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.02.007"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1039\/C4AN02123A"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2013.03.083"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2007.11.005"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2016.10.041"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2015.08.018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1039\/C7JA00114B"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09195432.pdf?arnumber=9195432","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:53Z","timestamp":1639770953000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195432\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3023681","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}