{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:32:55Z","timestamp":1767339175225,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100012653","name":"Karnataka State Council for Science and Technology, Indian Institute of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012653","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Syst Assur Eng Manag"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s13198-023-02191-w","type":"journal-article","created":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T10:01:15Z","timestamp":1698573675000},"page":"1086-1097","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Road safety analysis framework based on vehicle vibrations and sounds using deep learning techniques"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0003-7167","authenticated-orcid":false,"given":"Permanki Guthu Rithesh","family":"Pakkala","sequence":"first","affiliation":[]},{"given":"R.","family":"Akhila Thejaswi","sequence":"additional","affiliation":[]},{"given":"Bellipady Shamantha","family":"Rai","sequence":"additional","affiliation":[]},{"given":"H. R.","family":"Nagesh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,29]]},"reference":[{"issue":"2","key":"2191_CR1","first-page":"653","volume":"16","author":"A Abadi","year":"2014","unstructured":"Abadi A, Rajabioun T, Ioannou PA (2014) Traffic flow prediction for road transportation networks with limited traffic data. IEEE Trans Intell Transp Syst 16(2):653\u2013662","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2191_CR2","doi-asserted-by":"publisher","unstructured":"Afroj Alam SP (2021) A review of automatic driving system by recognizing road signs using digital image processing https:\/\/doi.org\/10.21203\/rs.3.rs-2137502\/v1","DOI":"10.21203\/rs.3.rs-2137502\/v1"},{"key":"2191_CR3","doi-asserted-by":"crossref","unstructured":"Anand S, Gupta S, Darbari V, Kohli S (2018) Crack-pot: autonomous road crack and pothole detection. In: 2018 digital image computing: techniques and applications (DICTA). IEEE, pp 1\u20136","DOI":"10.1109\/DICTA.2018.8615819"},{"key":"2191_CR4","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.procs.2018.10.527","volume":"144","author":"A Arinaldi","year":"2018","unstructured":"Arinaldi A, Pradana JA, Gurusinga AA (2018) Detection and classification of vehicles for traffic video analytics. Proc Comput Sci 144:259\u2013268","journal-title":"Proc Comput Sci"},{"issue":"15","key":"2191_CR5","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.3390\/electronics11152279","volume":"11","author":"A Ashurov","year":"2022","unstructured":"Ashurov A, Zhou Y, Shi L, Zhao Y, Liu H (2022) Environmental sound classification based on transfer-learning techniques with multiple optimizers. Electronics 11(15):2279","journal-title":"Electronics"},{"issue":"5","key":"2191_CR6","doi-asserted-by":"publisher","first-page":"2635","DOI":"10.1109\/JSEN.2019.2952857","volume":"20","author":"A Basavaraju","year":"2019","unstructured":"Basavaraju A, Du J, Zhou F, Ji J (2019) A machine learning approach to road surface anomaly assessment using smartphone sensors. IEEE Sens J 20(5):2635\u20132647","journal-title":"IEEE Sens J"},{"issue":"2","key":"2191_CR7","first-page":"1236","volume":"4","author":"JK Basu","year":"2010","unstructured":"Basu JK, Bhattacharyya D, Kim TH (2010) Use of artificial neural network in pattern recognition. Int J Softw Eng Appl 4(2):1236","journal-title":"Int J Softw Eng Appl"},{"issue":"12","key":"2191_CR8","doi-asserted-by":"publisher","first-page":"7008","DOI":"10.3390\/app13127008","volume":"13","author":"YL Chen","year":"2023","unstructured":"Chen YL, Wang NC, Ciou JF, Lin RQ (2023) Combined bidirectional long short-term memory with mel-frequency cepstral coefficients using autoencoder for speaker recognition. Appl Sci 13(12):7008","journal-title":"Appl Sci"},{"issue":"15","key":"2191_CR9","doi-asserted-by":"publisher","first-page":"2895","DOI":"10.1016\/S0167-8655(03)00147-8","volume":"24","author":"M Cowling","year":"2003","unstructured":"Cowling M, Sitte R (2003) Comparison of techniques for environmental sound recognition. Pattern Recogn Lett 24(15):2895\u20132907","journal-title":"Pattern Recogn Lett"},{"key":"2191_CR10","doi-asserted-by":"publisher","first-page":"16801","DOI":"10.1109\/ACCESS.2023.3246388","volume":"11","author":"M Fazil","year":"2023","unstructured":"Fazil M, Khan S, Albahlal BM, Alotaibi RM, Siddiqui T, Shah MA (2023) Attentional multi-channel convolution with bidirectional LSTM cell toward hate speech prediction. IEEE Access 11:16801\u201316811","journal-title":"IEEE Access"},{"issue":"12","key":"2191_CR11","doi-asserted-by":"publisher","first-page":"3417","DOI":"10.1109\/TMC.2017.2690995","volume":"16","author":"A Fox","year":"2017","unstructured":"Fox A, Kumar BV, Chen J, Bai F (2017) Multi-lane pothole detection from crowdsourced undersampled vehicle sensor data. IEEE Trans Mob Comput 16(12):3417\u20133430","journal-title":"IEEE Trans Mob Comput"},{"key":"2191_CR12","doi-asserted-by":"publisher","first-page":"7200","DOI":"10.1109\/TITS.2020.3003111","volume":"22","author":"RC Gatto","year":"2020","unstructured":"Gatto RC, Forster CHQ (2020) Audio-based machine learning model for traffic congestion detection. IEEE Trans Intell Transp Syst 22:7200\u20137207","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"2","key":"2191_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.5121\/ijsc.2013.4203","volume":"4","author":"J George","year":"2013","unstructured":"George J, Cyril A, Koshy BI, Mary L (2013) Exploring sound signature for vehicle detection and classification using ANN. Int J Soft Comput 4(2):29","journal-title":"Int J Soft Comput"},{"key":"2191_CR14","first-page":"432","volume":"7","author":"C Gutierrez-Osorio","year":"2020","unstructured":"Gutierrez-Osorio C, Pedraza C (2020) Modern data sources and techniques for analysis and forecast of road accidents: a review. J Traff Transp Eng Engl Ed. 7:432\u2013446","journal-title":"J Traff Transp Eng Engl Ed."},{"issue":"16","key":"2191_CR15","doi-asserted-by":"publisher","first-page":"5192","DOI":"10.1109\/JSEN.2017.2719865","volume":"17","author":"PM Harikrishnan","year":"2017","unstructured":"Harikrishnan PM, Gopi VP (2017) Vehicle vibration signal processing for road surface monitoring. IEEE Sens J 17(16):5192\u20135197","journal-title":"IEEE Sens J"},{"issue":"3","key":"2191_CR16","doi-asserted-by":"publisher","first-page":"04020053","DOI":"10.1061\/JPEODX.0000205","volume":"146","author":"CH Ho","year":"2020","unstructured":"Ho CH, Snyder M, Zhang D (2020) Application of vehicle-based sensing technology in monitoring vibration response of pavement conditions. J Transp Eng Part B Pavements 146(3):04020053","journal-title":"J Transp Eng Part B Pavements"},{"issue":"3","key":"2191_CR17","doi-asserted-by":"publisher","first-page":"EL260","DOI":"10.1121\/10.0001943","volume":"148","author":"AK Ibrahim","year":"2020","unstructured":"Ibrahim AK, Zhuang H, Ch\u00e9rubin LM, Sch\u00e4rer-Umpierre MT, Nemeth RS, Erdol N, Ali AM (2020) Transfer learning for efficient classification of grouper sound. J Acoust Soc Am 148(3):EL260\u2013EL266","journal-title":"J Acoust Soc Am"},{"issue":"6","key":"2191_CR18","doi-asserted-by":"publisher","first-page":"e017858","DOI":"10.1136\/bmjopen-2017-017858","volume":"8","author":"S Joyce","year":"2018","unstructured":"Joyce S, Shand F, Tighe J, Laurent SJ, Bryant RA, Harvey SB (2018) Road to resilience: a systematic review and meta-analysis of resilience training programmes and interventions. BMJ Open 8(6):e017858","journal-title":"BMJ Open"},{"key":"2191_CR19","doi-asserted-by":"crossref","unstructured":"Kawaguchi S, Kitamura D (2023) Amplitude spectrogram prediction from mel-frequency cepstrum coefficients and loudness using deep neural networks","DOI":"10.2299\/jsp.27.207"},{"issue":"13","key":"2191_CR20","first-page":"20167","volume":"17","author":"S Khan","year":"2021","unstructured":"Khan S (2021) Data visualization to explore the countries dataset for pattern creation. Int J Online Biomed Eng 17(13):20167","journal-title":"Int J Online Biomed Eng"},{"key":"2191_CR21","doi-asserted-by":"publisher","first-page":"108201","DOI":"10.1016\/j.compeleceng.2022.108201","volume":"102","author":"S Khan","year":"2022","unstructured":"Khan S, AlSuwaidan L (2022) Agricultural monitoring system in video surveillance object detection using feature extraction and classification by deep learning techniques. Comput Electr Eng 102:108201","journal-title":"Comput Electr Eng"},{"key":"2191_CR22","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/9985933","author":"S Khan","year":"2022","unstructured":"Khan S, Saravanan VNGC, Lakshmi TJ, Deb N, Othman NA (2022) Privacy protection of healthcare data over social networks using machine learning algorithms. Comput Intell Neurosci. https:\/\/doi.org\/10.1155\/2022\/9985933","journal-title":"Comput Intell Neurosci"},{"issue":"7","key":"2191_CR23","first-page":"4335","volume":"34","author":"S Khan","year":"2022","unstructured":"Khan S, Fazil M, Sejwal VK, Alshara MA, Alotaibi RM, Kamal A, Baig AR (2022b) BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. J King Saud Univ Comput Inf Sci 34(7):4335\u20134344","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"2191_CR24","doi-asserted-by":"publisher","first-page":"7881","DOI":"10.1109\/ACCESS.2022.3143799","volume":"10","author":"S Khan","year":"2022","unstructured":"Khan S, Kamal A, Fazil M, Alshara MA, Sejwal VK, Alotaibi RM, Alqahtani S (2022) HCovBi-caps: hate speech detection using convolutional and Bi-directional gated recurrent unit with capsule network. IEEE Access 10:7881\u20137894","journal-title":"IEEE Access"},{"key":"2191_CR25","first-page":"1","volume":"56","author":"S Khan","year":"2023","unstructured":"Khan S, Siddiqui T, Mourade A, Alabduallah BI, Alajlan SA, Almjally A, Alfaifi A (2023) Manufacturing industry based on dynamic soft sensors in integrated with feature representation and classification using fuzzy logic and deep learning architecture. Int J Adv Manuf Technol 56:1\u201313","journal-title":"Int J Adv Manuf Technol"},{"key":"2191_CR26","doi-asserted-by":"crossref","unstructured":"Khan S, Ch V, Sekaran K, Joshi K, Roy CK, Tiwari M (2023) Incorporating deep learning methodologies into the creation of healthcare systems. In: 2023 international conference on artificial intelligence and smart communication (AISC). IEEE, pp 994\u2013998","DOI":"10.1109\/AISC56616.2023.10085651"},{"key":"2191_CR27","doi-asserted-by":"publisher","first-page":"15535","DOI":"10.1109\/JSEN.2020.3042620","volume":"21","author":"F Kortmann","year":"2020","unstructured":"Kortmann F, Horstk\u00f6tter J, Warnecke A, Meier N, Heger J, Funk B, Drews P (2020) Modeling the quarter-vehicle: use of passive sensor data for road condition monitoring. IEEE Sens J 21:15535\u201315543","journal-title":"IEEE Sens J"},{"key":"2191_CR28","doi-asserted-by":"publisher","first-page":"7207","DOI":"10.1109\/JSEN.2021.3051931","volume":"21","author":"M Krichen","year":"2021","unstructured":"Krichen M (2021) Anomalies detection through smartphone sensors. IEEE Sens J 21:7207\u20137217","journal-title":"IEEE Sens J"},{"key":"2191_CR29","doi-asserted-by":"crossref","unstructured":"Kyriakou C, Christodoulou SE, Dimitriou L (2016) Roadway pavement anomaly classification utilizing smartphones and artificial intelligence. In: 2016 18th mediterranean electrotechnical conference (MELECON). IEEE, pp 1\u20136","DOI":"10.1109\/MELCON.2016.7495459"},{"issue":"7","key":"2191_CR30","doi-asserted-by":"publisher","first-page":"1980","DOI":"10.1109\/TITS.2016.2614350","volume":"18","author":"Z Li","year":"2016","unstructured":"Li Z, Filev DP, Kolmanovsky I, Atkins E, Lu J (2016) A new clustering algorithm for processing GPS-based road anomaly reports with a mahalanobis distance. IEEE Trans Intell Transp Syst 18(7):1980\u20131988","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2191_CR31","doi-asserted-by":"publisher","first-page":"58043","DOI":"10.1109\/ACCESS.2018.2872931","volume":"6","author":"Y Li","year":"2018","unstructured":"Li Y, Li X, Zhang Y, Liu M, Wang W (2018) Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads. IEEE Access 6:58043\u201358055","journal-title":"Ieee Access"},{"key":"2191_CR32","doi-asserted-by":"publisher","first-page":"117390","DOI":"10.1109\/ACCESS.2020.3004590","volume":"8","author":"D Luo","year":"2020","unstructured":"Luo D, Lu J, Guo G (2020) Road anomaly detection through deep learning approaches. IEEE Access 8:117390\u2013117404","journal-title":"IEEE Access"},{"issue":"8","key":"2191_CR33","doi-asserted-by":"publisher","first-page":"4313","DOI":"10.1109\/JSEN.2015.2417579","volume":"15","author":"R Madli","year":"2015","unstructured":"Madli R, Hebbar S, Pattar P, Golla V (2015) Automatic detection and notification of potholes and humps on roads to aid drivers. IEEE Sens J 15(8):4313\u20134318","journal-title":"IEEE Sens J"},{"issue":"2","key":"2191_CR34","first-page":"115","volume":"6","author":"AD Matychenko","year":"2023","unstructured":"Matychenko AD, Polyakova MV (2023) The structural tuning of the convolutional neural network for speaker identification in mel frequency cepstrum coefficients space. Her Adv Inf Technol 6(2):115\u2013127","journal-title":"Her Adv Inf Technol"},{"issue":"9","key":"2191_CR35","doi-asserted-by":"publisher","first-page":"5873","DOI":"10.1007\/s00500-022-07596-6","volume":"27","author":"TTH Phan","year":"2023","unstructured":"Phan TTH, Nguyen-Doan D, Nguyen-Huu D, Nguyen-Van H, Pham-Hong T (2023) Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition. Soft Comput 27(9):5873\u20135892","journal-title":"Soft Comput"},{"key":"2191_CR36","doi-asserted-by":"crossref","unstructured":"Saeed F, Qamariatul S, Rahman M, and Woodside A (2015) The state of pothole management in UK local authority. Bituminous mixtures and pavements VI, pp 153\u2013159","DOI":"10.1201\/b18538-25"},{"issue":"19","key":"2191_CR37","doi-asserted-by":"publisher","first-page":"5564","DOI":"10.3390\/s20195564","volume":"20","author":"C Wu","year":"2020","unstructured":"Wu C, Wang Z, Hu S, Lepine J, Na X, Ainalis D, Stettler M (2020) An automated machine-learning approach for road pothole detection using smartphone sensor data. Sensors 20(19):5564","journal-title":"Sensors"},{"key":"2191_CR38","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.jmapro.2023.05.023","volume":"98","author":"J Yuan","year":"2023","unstructured":"Yuan J, Li L, Shao H, Han M, Huang H (2023) Material recognition for fault diagnosis in machine tools using improved mel frequency cepstral coefficients. J Manuf Process 98:67\u201379","journal-title":"J Manuf Process"},{"key":"2191_CR39","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.aap.2018.06.010","volume":"118","author":"X Zou","year":"2018","unstructured":"Zou X, Yue WL, Le Vu H (2018) Visualization and analysis of mapping knowledge domain of road safety studies. Accid Anal Prev 118:131\u2013145","journal-title":"Accid Anal Prev"}],"container-title":["International Journal of System Assurance Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-023-02191-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13198-023-02191-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-023-02191-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T07:18:59Z","timestamp":1710746339000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13198-023-02191-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":39,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["2191"],"URL":"https:\/\/doi.org\/10.1007\/s13198-023-02191-w","relation":{},"ISSN":["0975-6809","0976-4348"],"issn-type":[{"type":"print","value":"0975-6809"},{"type":"electronic","value":"0976-4348"}],"subject":[],"published":{"date-parts":[[2023,10,29]]},"assertion":[{"value":"11 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they do not have any competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}