{"id":"https://openalex.org/W3094583488","doi":"https://doi.org/10.1109/icccnt49239.2020.9225620","title":"Human Behaviour Impact to Use of Smartphones with the Python Implementation Using Naive Bayesian","display_name":"Human Behaviour Impact to Use of Smartphones with the Python Implementation Using Naive Bayesian","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094583488","doi":"https://doi.org/10.1109/icccnt49239.2020.9225620","mag":"3094583488"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089408079","display_name":"Iftakhar Mohammad Talha","orcid":"https://orcid.org/0000-0002-0091-1571"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Iftakhar Mohammad Talha","raw_affiliation_strings":["Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086543418","display_name":"Imrus Salehin","orcid":"https://orcid.org/0000-0002-4019-6728"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Imrus Salehin","raw_affiliation_strings":["Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069679394","display_name":"Susanta Chandra Debnath","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Susanta Chandra Debnath","raw_affiliation_strings":["Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052043588","display_name":"Mohd. Saifuzzaman","orcid":"https://orcid.org/0000-0001-8443-9560"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohd. Saifuzzaman","raw_affiliation_strings":["Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005797035","display_name":"Nazmun Nessa Moon","orcid":"https://orcid.org/0000-0001-6641-006X"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nazmun Nessa Moon","raw_affiliation_strings":["Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Sobhanbag, Mirpur Rd, Dhaka","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070466431","display_name":"Fernaz Narin Nur","orcid":"https://orcid.org/0000-0003-3273-0553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fernaz Narin Nur","raw_affiliation_strings":["Notre Dame University, 2/A Toyenbee Circular Rd, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Notre Dame University, 2/A Toyenbee Circular Rd, Dhaka, Bangladesh","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089408079"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":2.4204,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89829707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.782351016998291},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7399336695671082},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6659805774688721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6423308253288269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6416258811950684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5799911022186279},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5595942139625549},{"id":"https://openalex.org/keywords/loneliness","display_name":"Loneliness","score":0.5295755863189697},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4614153802394867},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43493491411209106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3337000012397766},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18205413222312927},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08350172638893127}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.782351016998291},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7399336695671082},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6659805774688721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6423308253288269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416258811950684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799911022186279},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5595942139625549},{"id":"https://openalex.org/C2779998236","wikidata":"https://www.wikidata.org/wiki/Q223270","display_name":"Loneliness","level":2,"score":0.5295755863189697},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4614153802394867},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43493491411209106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3337000012397766},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18205413222312927},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08350172638893127},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1119489805","https://openalex.org/W1921929190","https://openalex.org/W2028835575","https://openalex.org/W2055800023","https://openalex.org/W2170048087","https://openalex.org/W2416164492","https://openalex.org/W2623997639","https://openalex.org/W2739958663","https://openalex.org/W2778707262","https://openalex.org/W2789775052","https://openalex.org/W2810068787","https://openalex.org/W2999412801"],"related_works":["https://openalex.org/W3112311188","https://openalex.org/W2317255260","https://openalex.org/W2308413298","https://openalex.org/W2141620662","https://openalex.org/W4312102834","https://openalex.org/W4382699229","https://openalex.org/W2348377837","https://openalex.org/W2986111703","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"A":[0],"change":[1],"of":[2,19,26,49,74,122,138,153],"behavior":[3],"in":[4],"special":[5,71],"groups":[6],"and":[7,28,53,66,77,98,113,155,168,182],"many":[8],"sustainable":[9],"smart":[10],"populations":[11],"increasing":[12,37],"day":[13,15],"by":[14,108,194],"for":[16,118,185],"excessive":[17],"uses":[18],"smartphones.":[20],"In":[21,40,158],"recent":[22],"years,":[23],"the":[24,46,50,93,120,123,135,143,148,151,191,199,203],"use":[25,92,184],"smartphones":[27],"mental":[29,58],"imbalances":[30],"have":[31],"become":[32],"a":[33,102,163,175],"major":[34,47,89,176],"problem":[35,48],"with":[36,198],"negative":[38,51,136,156,167],"effects.":[39],"our":[41,195],"study,":[42],"we":[43,91,146,160,189],"find":[44],"out":[45],"side":[52],"its":[54],"different":[55],"sources":[56],"like":[57],"imbalance,":[59],"stress,":[60],"depression,":[61],"loneliness,":[62],"etc.":[63],"Bayes'":[64,127],"theorem":[65,128],"classifier,":[67,145],"support":[68],"vector":[69],"machine,":[70],"data":[72,86,104,109,124,186],"set":[73,105,161],"human":[75,139],"behavior,":[76],"probability":[78,115],"are":[79],"used":[80,117],"to":[81,110,165,178],"calculate":[82,179],"accuracy.":[83],"For":[84],"collecting":[85],"from":[87,202],"three":[88,204],"sections,":[90],"physical":[94],"methods,":[95,97],"virtual":[96],"medical":[99],"reports.":[100],"So,":[101],"vast":[103],"is":[106,116,133,174],"trained":[107],"compare":[111,190],"method,":[112],"also":[114,183],"predicting":[119],"validity":[121],"model.":[125],"Naive":[126],"accurate":[129],"71%":[130],"positive":[131,154,169],"which":[132],"indicated":[134],"impact":[137,152],"behavior.":[140],"Based":[141],"on":[142],"SVM":[144],"separate":[147],"barrier":[149],"between":[150],"data.":[157],"SVM,":[159],"up":[162],"parameter":[164],"measure":[166],"values.":[170],"Python":[171],"library":[172],"function":[173],"component":[177],"all":[180],"instructions":[181],"training.":[187],"Finally,":[188],"results":[192,200],"obtained":[193,201],"proposed":[196],"specialization":[197],"baseline":[205],"landmarks.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}