{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T17:07:25Z","timestamp":1783184845761,"version":"3.54.6"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001411","name":"Indian Council of Medical Research","doi-asserted-by":"publisher","award":["ICMR\/ISRM\/12(89)\/2020\/2020-3701"],"award-info":[{"award-number":["ICMR\/ISRM\/12(89)\/2020\/2020-3701"]}],"id":[{"id":"10.13039\/501100001411","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2023.3338713","type":"journal-article","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T18:20:56Z","timestamp":1701454856000},"page":"1-11","source":"Crossref","is-referenced-by-count":10,"title":["A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5839-7325","authenticated-orcid":false,"given":"Sayantika","family":"Mandal","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1257-1938","authenticated-orcid":false,"given":"G. Pradeep","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Shiv Nadar University, Greater Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5085-6822","authenticated-orcid":false,"given":"Manali","family":"Saini","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Shiv Nadar University, Greater Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3851-765X","authenticated-orcid":false,"given":"Udit","family":"Satija","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9712-4290","authenticated-orcid":false,"given":"Yogesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"All India Institute of Medical Sciences (AIIMS) Patna, Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2838158"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3232670"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2964072"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2014-3482"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00805"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2213598"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/7854_2010_115"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3149325"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2970846"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2942153"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103494"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3053999"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2984493"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3006417"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2014.00611"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.braindev.2012.02.013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/Eusipco47968.2020.9287676"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICBME.2010.5704916"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590715"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.105941"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2019.08.010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2013.01.008"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2013.06.015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-016-0218-2"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ac59dc"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105738"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00251"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/jcm8071055"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3232481"},{"key":"ref31","article-title":"EEG data for ADHD\/control children","author":"Nasrabadi","year":"2020","journal-title":"IEEE DataPort"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2670022"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2686436"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2884641"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3108642"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3159531"},{"key":"ref37","first-page":"571","article-title":"How to start training: The effect of initialization and architecture","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Hanin"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.07.007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.012"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941836"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2917157"},{"key":"ref42","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671878"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2011.05.008"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1097\/01.pra.0000462611.11887.e9"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2016.06.006"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10339337.pdf?arnumber=10339337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:39:50Z","timestamp":1705027190000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10339337\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3338713","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}