{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:25:23Z","timestamp":1759335923111,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031709050"},{"type":"electronic","value":"9783031709067"}],"license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-70906-7_7","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T09:02:51Z","timestamp":1729155771000},"page":"69-81","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Geospatial Analysis and Machine Learning for Vehicular Mobility Patterns on Indian Two-Way Roads: Leveraging Geotagged Microphone Data and Modified CNN Classifier"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8885-5078","authenticated-orcid":false,"given":"Rakesh","family":"Dubey","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4148-2520","authenticated-orcid":false,"given":"Shruti","family":"Bharadwaj","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0177-4484","authenticated-orcid":false,"given":"Kumari","family":"Deepika","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5116-2697","authenticated-orcid":false,"given":"Akansha","family":"Singh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6932-3940","authenticated-orcid":false,"given":"Anas","family":"Siddiqui","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1030-5320","authenticated-orcid":false,"given":"Hasir","family":"Ali","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7023-5737","authenticated-orcid":false,"given":"Adnan","family":"Farooqui","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,18]]},"reference":[{"key":"7_CR1","unstructured":"Forbrig, P., Dewan, P.: SIGCHI, London Association for Computing Machinery, ACM Digital Library.: Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets"},{"key":"7_CR2","doi-asserted-by":"publisher","unstructured":"Yu, M., et al.: Spatiotemporal event detection: a review (2020). https:\/\/doi.org\/10.1080\/17538947.2020.1738569","DOI":"10.1080\/17538947.2020.1738569"},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1515\/aoa-2017-0044","volume":"42","author":"SK Lokhande","year":"2017","unstructured":"Lokhande, S.K., Dhawale, S.A., Pathak, S.S., Gautam, R., Jain, M.C., Bodhe, G.L.: Appraisal of noise level dissemination surrounding mining and industrial areas of Keonjhar, Odisha: a comprehensive approach using noise mapping. Archives of Acoustics 42, 423\u2013432 (2017). https:\/\/doi.org\/10.1515\/aoa-2017-0044","journal-title":"Archives of Acoustics"},{"key":"7_CR4","doi-asserted-by":"publisher","unstructured":"Veenendaal, B., Brovelli, M.A., Li, S.: Review of web mapping: Eras, trends and directions (2017). https:\/\/doi.org\/10.3390\/ijgi6100317","DOI":"10.3390\/ijgi6100317"},{"key":"7_CR5","doi-asserted-by":"publisher","unstructured":"Straczkiewicz, M., James, P., Onnela, J.P.: A systematic review of smartphone-based human activity recognition methods for health research (2021). https:\/\/doi.org\/10.1038\/s41746-021-00514-4","DOI":"10.1038\/s41746-021-00514-4"},{"key":"7_CR6","doi-asserted-by":"publisher","unstructured":"Cheng, S., Liu, Y.: Research on transportation mode recognition based on multi-head attention temporal convolutional network. Sensors 23 (2023). https:\/\/doi.org\/10.3390\/s23073585","DOI":"10.3390\/s23073585"},{"key":"7_CR7","doi-asserted-by":"publisher","unstructured":"Mantouka, E., Barmpounakis, E., Vlahogianni, E., Golias, J.: Smartphone sensing for understanding driving behavior: Current practice and challenges (2021). https:\/\/doi.org\/10.1016\/j.ijtst.2020.07.001","DOI":"10.1016\/j.ijtst.2020.07.001"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: Transportation Mode Identification with GPS Trajectory Data and GIS Information (2021)","DOI":"10.26599\/TST.2020.9010014"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"3084","DOI":"10.1121\/1.5009448","volume":"142","author":"R Ventura","year":"2017","unstructured":"Ventura, R., Mallet, V., Issarny, V., Raverdy, P.-G., Rebhi, F.: Evaluation and calibration of mobile phones for noise monitoring application. J. Acoust. Soc. Am. 142, 3084\u20133093 (2017). https:\/\/doi.org\/10.1121\/1.5009448","journal-title":"J. Acoust. Soc. Am."},{"key":"7_CR10","doi-asserted-by":"publisher","unstructured":"\u0130nik, \u00d6.: CNN hyper-parameter optimization for environmental sound classification. Applied Acoustics 202 (2023). https:\/\/doi.org\/10.1016\/j.apacoust.2022.109168","DOI":"10.1016\/j.apacoust.2022.109168"},{"key":"7_CR11","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1515\/noise-2019-0005","volume":"6","author":"D Verma","year":"2019","unstructured":"Verma, D., Jana, A., Ramamritham, K.: Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks. Noise Mapping 6, 52\u201371 (2019). https:\/\/doi.org\/10.1515\/noise-2019-0005","journal-title":"Noise Mapping"},{"key":"7_CR12","doi-asserted-by":"publisher","unstructured":"Shrestha, A., Mahmood, A.: Review of deep learning algorithms and architectures (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2912200","DOI":"10.1109\/ACCESS.2019.2912200"},{"key":"7_CR13","doi-asserted-by":"publisher","unstructured":"Dlu\u017enevskij, D., Stefanov\u010d, P., Ramanauskaite, S.: Investigation of YOLOv5 efficiency in IPhone supported systems. Baltic J. Modern Comp. 9, 333\u2013344 (2021). https:\/\/doi.org\/10.22364\/bjmc.2021.9.3.07","DOI":"10.22364\/bjmc.2021.9.3.07"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Ferreira, A.J.S.: An Odd-DFT Based Approach to Time-Scale Expansion of Audio Signals (1999)","DOI":"10.1109\/89.771312"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"20843","DOI":"10.3390\/s141120843","volume":"14","author":"H Xia","year":"2014","unstructured":"Xia, H., Qiao, Y., Jian, J., Chang, Y.: Using smart phone sensors to detect transportation modes. Sensors (Switzerland). 14, 20843\u201320865 (2014). https:\/\/doi.org\/10.3390\/s141120843","journal-title":"Sensors (Switzerland)."},{"key":"7_CR16","doi-asserted-by":"publisher","unstructured":"Lin, S., Zeng, Y., Gong, Y.: Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition (2021). https:\/\/doi.org\/10.1109\/LWC.2022.3140828","DOI":"10.1109\/LWC.2022.3140828"},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"Sadhin, A.H., Hashim, S.Z.M., Samma, H., Khamis, N.: YOLO: a competitive analysis of modern object detection algorithms for road defects detection using drone images. Baghdad Science Journal (2023). https:\/\/doi.org\/10.21123\/bsj.2023.9027","DOI":"10.21123\/bsj.2023.9027"},{"key":"7_CR18","doi-asserted-by":"publisher","unstructured":"Li, M., Aviles, J.S.: Improvement of Remote sensing image target detection algorithm based on YOLO V5. In: Journal of Physics: Conference Series. Institute of Physics (2023). https:\/\/doi.org\/10.1088\/1742-6596\/2560\/1\/012001","DOI":"10.1088\/1742-6596\/2560\/1\/012001"},{"key":"7_CR19","doi-asserted-by":"publisher","first-page":"176","DOI":"10.3390\/oral3020016","volume":"3","author":"SMS Salahin","year":"2023","unstructured":"Salahin, S.M.S., Ullaa, M.D.S., Ahmed, S., Mohammed, N., Farook, T.H., Dudley, J.: One-stage methods of computer vision object detection to classify carious lesions from smartphone imaging. Oral. 3, 176\u2013190 (2023). https:\/\/doi.org\/10.3390\/oral3020016","journal-title":"Oral."}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70906-7_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T09:14:28Z","timestamp":1729156468000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70906-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"ISBN":["9783031709050","9783031709067"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70906-7_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024,10,18]]},"assertion":[{"value":"18 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICACDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advances in Computing and Data Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Velizy","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 May 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icacds2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icacds.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}