{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T06:02:43Z","timestamp":1773295363659,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s10586-024-04374-x","type":"journal-article","created":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T07:02:11Z","timestamp":1712127731000},"page":"7915-7938","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Artificial intelligence assisted IoT-fog based framework for emergency fire response in smart buildings"],"prefix":"10.1007","volume":"27","author":[{"given":"Munish","family":"Saini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eshan","family":"Sengupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suraaj","family":"Thakur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"issue":"3","key":"4374_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e09133","volume":"8","author":"YS Hegazi","year":"2022","unstructured":"Hegazi, Y.S., Tahoon, D., Abdel-Fattah, N.A., El-Alfi, M.F.: Socio-spatial vulnerability assessment of heritage buildings through using space syntax. Heliyon 8(3), e09133 (2022). https:\/\/doi.org\/10.1016\/j.heliyon.2022.e09133","journal-title":"Heliyon"},{"issue":"1","key":"4374_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.47540\/ijias.v2i1.428","volume":"2","author":"S Nomani","year":"2022","unstructured":"Nomani, S., Rasel, M., Reedoy, I.K.: Industrial development and climate change: a case study of Bangladesh. Indones. J. Innov. Appl. Sci. 2(1), 68\u201379 (2022). https:\/\/doi.org\/10.47540\/ijias.v2i1.428","journal-title":"Indones. J. Innov. Appl. Sci."},{"key":"4374_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2020.101855","volume":"51","author":"M Kumasaki","year":"2020","unstructured":"Kumasaki, M., King, M.: Three cases in Japan occurred by natural hazards and lessons for Natech disaster management. Int. J. Disaster Risk Reduct. 51, 101855 (2020). https:\/\/doi.org\/10.1016\/j.ijdrr.2020.101855","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"4374_CR4","doi-asserted-by":"publisher","DOI":"10.4081\/wpph.2023.9604","author":"C Bertolina","year":"2023","unstructured":"Bertolina, C., Farotto, M., Crivellari, S., Giacchero, F., Grasso, C., Bertolotti, M., Maconi, A.: Summary of the 2016 World Health Organization Report and 2021 Compendium on Environmental Diseases. Work. Pap. Public Health (2023). https:\/\/doi.org\/10.4081\/wpph.2023.9604","journal-title":"Work. Pap. Public Health"},{"issue":"1","key":"4374_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1108\/PRR-12-2018-0033","volume":"4","author":"V Kodur","year":"2020","unstructured":"Kodur, V., Kumar, P., Rafi, M.M.: Fire hazard in buildings: review, assessment and strategies for improving fire safety. PSU Res. Rev. 4(1), 1\u201323 (2020). https:\/\/doi.org\/10.1108\/PRR-12-2018-0033","journal-title":"PSU Res. Rev."},{"key":"4374_CR6","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/j.scs.2018.01.053","volume":"38","author":"BN Silva","year":"2018","unstructured":"Silva, B.N., Khan, M., Han, K.: Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities. Sustain. Cities Soc. 38, 697\u2013713 (2018). https:\/\/doi.org\/10.1016\/j.scs.2018.01.053","journal-title":"Sustain. Cities Soc."},{"issue":"14","key":"4374_CR7","doi-asserted-by":"publisher","first-page":"4932","DOI":"10.3390\/s21144932","volume":"21","author":"H Yar","year":"2021","unstructured":"Yar, H., Imran, A.S., Khan, Z.A., Sajjad, M., Kastrati, Z.: Towards smart home automation using IoT-enabled edge-computing paradigm. Sensors 21(14), 4932 (2021). https:\/\/doi.org\/10.3390\/s21144932","journal-title":"Sensors"},{"issue":"23","key":"4374_CR8","doi-asserted-by":"publisher","first-page":"16240","DOI":"10.3390\/su142316240","volume":"14","author":"M Balfaqih","year":"2022","unstructured":"Balfaqih, M., Alharbi, S.A.: Associated information and communication technologies challenges of smart city development. Sustainability 14(23), 16240 (2022). https:\/\/doi.org\/10.3390\/su142316240","journal-title":"Sustainability"},{"key":"4374_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-16107-0","author":"M Saini","year":"2023","unstructured":"Saini, M., Sengupta, E., Singh, H.: Artificial intelligence inspired IoT-fog based framework for generating early alerts while train passengers traveling in dangerous states using surveillance videos. Multimed. Tools Appl. (2023). https:\/\/doi.org\/10.1007\/s11042-023-16107-0","journal-title":"Multimed. Tools Appl."},{"key":"4374_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3304684","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Zhang, Y., Shi, Z., Fu, R., Liu, D., Zhang, Y., Du, J.: Enhanced cross-domain dim and small infrared target detection via content-decoupled feature alignment. IEEE Trans. Geosci. Remote Sens. (2023). https:\/\/doi.org\/10.1109\/TGRS.2023.3304684","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4374_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120465","volume":"231","author":"H Yar","year":"2023","unstructured":"Yar, H., Khan, Z.A., Ullah, F.U.M., Ullah, W., Baik, S.W.: A modified YOLOv5 architecture for efficient fire detection in smart cities. Expert Syst. Appl. 231, 120465 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2023.120465","journal-title":"Expert Syst. Appl."},{"key":"4374_CR12","doi-asserted-by":"publisher","unstructured":"Deepa, K.R., Chaitra, A.S., Jhansi, K., Anitha Kumari, R.D., Ashwini Kumari, P., Kodabagi, M.M.: Development of Fire Detection surveillance using machine learning and IoT. In: 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022, pp. 1\u20136. IEEE (2022). https:\/\/doi.org\/10.1109\/MysuruCon55714.2022.9972725","DOI":"10.1109\/MysuruCon55714.2022.9972725"},{"key":"4374_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2023.103606","volume":"88","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Zhang, X., Huang, X.: Design a safe firefighting time (SFT) for major fire disaster emergency response. Int. J. Disaster Risk Reduct. 88, 103606 (2023). https:\/\/doi.org\/10.1016\/j.ijdrr.2023.103606","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"4374_CR14","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.isprsjprs.2023.10.019","volume":"206","author":"H Yar","year":"2023","unstructured":"Yar, H., Ullah, W., Khan, Z.A., Baik, S.W.: An effective attention-based CNN model for fire detection in adverse weather conditions. ISPRS J. Photogramm. Remote Sens. 206, 335\u2013346 (2023). https:\/\/doi.org\/10.1016\/j.isprsjprs.2023.10.019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"4374_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2022.104000","volume":"49","author":"R Ouache","year":"2022","unstructured":"Ouache, R., Bakhtavar, E., Hu, G., Hewage, K., Sadiq, R.: Evidential reasoning and machine learning-based framework for assessment and prediction of human error factors-induced fire incidents. J. Build. Eng. 49, 104000 (2022). https:\/\/doi.org\/10.1016\/j.jobe.2022.104000","journal-title":"J. Build. Eng."},{"key":"4374_CR16","volume-title":"A Disastrous History of the World: Chronicles of War, Earthquake, Plague and Flood","author":"J Withington","year":"2010","unstructured":"Withington, J.: A Disastrous History of the World: Chronicles of War, Earthquake, Plague and Flood. Hachette, London (2010)"},{"key":"4374_CR17","unstructured":"Khan, T., Aslan, H.\u0130.: Performance Evaluation of Enhanced ConvNeXtTiny-Based Fire Detection System in Real-World Scenarios (2023). https:\/\/openreview.net\/forum?id=A-E41oZCfrf"},{"key":"4374_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cacint.2022.100082","volume":"15","author":"S Badina","year":"2022","unstructured":"Badina, S., Babkin, R., Bereznyatsky, A., Bobrovskiy, R.: Spatial aspects of urban population vulnerability to natural and man-made hazards. City Environ. Interact. 15, 100082 (2022). https:\/\/doi.org\/10.1016\/j.cacint.2022.100082","journal-title":"City Environ. Interact."},{"key":"4374_CR19","doi-asserted-by":"publisher","unstructured":"Sengupta, E., Saini, M., Singh, M., Singh, J.: An exploration into Artificial intelligence based advancement in education field. In: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp 1250\u20131255. IEEE (2022). https:\/\/doi.org\/10.1109\/ICACITE53722.2022.9823801","DOI":"10.1109\/ICACITE53722.2022.9823801"},{"issue":"2","key":"4374_CR20","first-page":"521","volume":"20","author":"F Yan","year":"2019","unstructured":"Yan, F., Jia, J., Hu, Y., Guo, Q., Zhu, H.: Smart fire evacuation service based on Internet of Things computing for Web3D. J. Internet Technol. 20(2), 521\u2013532 (2019)","journal-title":"J. Internet Technol."},{"key":"4374_CR21","doi-asserted-by":"publisher","unstructured":"Wu, C.C., Yu, K.M., Chine, S.T., Cheng, S.T., Huang, Y.S., Lei, M.Y., Lin, J.H.: An intelligent active alert application on handheld devices for emergency evacuation guidance. In: 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN), July 2013, pp 7\u201311. IEEE (2013). https:\/\/doi.org\/10.1109\/ICUFN.2013.6614766","DOI":"10.1109\/ICUFN.2013.6614766"},{"key":"4374_CR22","doi-asserted-by":"publisher","unstructured":"Sun, Q., Wan, W., Yu, X.: The simulation of building escape system based on Unity3D. In: 2016 International Conference on Audio, Language and Image Processing (ICALIP), July 2016, pp. 156\u2013160. IEEE (2016). https:\/\/doi.org\/10.1109\/ICALIP.2016.7846656","DOI":"10.1109\/ICALIP.2016.7846656"},{"key":"4374_CR23","doi-asserted-by":"publisher","unstructured":"Wang, C., Luo, J., Zhang, C., Liu, X.: A dynamic escape route planning method for indoor multi-floor buildings based on real-time fire situation awareness. In: 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), 2020, pp. 222\u2013229. IEEE (2020). https:\/\/doi.org\/10.1109\/ICPADS51040.2020.00039","DOI":"10.1109\/ICPADS51040.2020.00039"},{"issue":"9","key":"4374_CR24","doi-asserted-by":"publisher","first-page":"221","DOI":"10.3390\/fi13090221","volume":"13","author":"R Wehbe","year":"2021","unstructured":"Wehbe, R., Shahrour, I.: A BIM-based smart system for fire evacuation. Future Internet 13(9), 221 (2021). https:\/\/doi.org\/10.3390\/fi13090221","journal-title":"Future Internet"},{"key":"4374_CR25","doi-asserted-by":"publisher","unstructured":"W\u00e4chter, T., Rexilius, J., K\u00f6nig, M., Hoffmann, M.: Dynamic evacuation system for the intelligent building based on beacons and handheld devices. In: 2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2021, pp. 117\u2013124. IEEE (2021). https:\/\/doi.org\/10.1109\/ICT-DM52643.2021.9664046","DOI":"10.1109\/ICT-DM52643.2021.9664046"},{"key":"4374_CR26","doi-asserted-by":"publisher","first-page":"6331","DOI":"10.1109\/TIP.2022.3207006","volume":"31","author":"H Yar","year":"2022","unstructured":"Yar, H., Hussain, T., Agarwal, M., Khan, Z.A., Gupta, S.K., Baik, S.W.: Optimized dual fire attention network and medium-scale fire classification benchmark. IEEE Trans. Image Process. 31, 6331\u20136343 (2022). https:\/\/doi.org\/10.1109\/TIP.2022.3207006","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"4374_CR27","doi-asserted-by":"publisher","first-page":"749","DOI":"10.32604\/csse.2023.034475","volume":"46","author":"N Dilshad","year":"2023","unstructured":"Dilshad, N., Khan, T., Song, J.: Efficient deep learning framework for fire detection in complex surveillance environment. Comput. Syst. Sci. Eng. 46(1), 749\u2013764 (2023). https:\/\/doi.org\/10.32604\/csse.2023.034475","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"1","key":"4374_CR28","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/LRA.2019.2949221","volume":"5","author":"CR Dreher","year":"2019","unstructured":"Dreher, C.R., W\u00e4chter, M., Asfour, T.: Learning object\u2013action relations from bimanual human demonstration using graph networks. IEEE Robot. Autom. Lett. 5(1), 187\u2013194 (2019). https:\/\/doi.org\/10.1109\/LRA.2019.2949221","journal-title":"IEEE Robot. Autom. Lett."},{"key":"4374_CR29","unstructured":"Parmar, N., Vaswani, A., Uszkoreit, J., Kaiser, L., Shazeer, N., Ku, A., Tran, D.: Image transformer. In: International Conference on Machine Learning, 2018, pp. 4055\u20134064. PMLR (2018)"},{"key":"4374_CR30","doi-asserted-by":"publisher","unstructured":"Wang, J., Xu, C., Yang, W., Yu, L.: A normalized Gaussian Wasserstein distance for tiny object detection (2021). arXiv preprint arXiv:2110.13389. https:\/\/doi.org\/10.48550\/arXiv.2110.13389","DOI":"10.48550\/arXiv.2110.13389"},{"issue":"2","key":"4374_CR31","doi-asserted-by":"publisher","first-page":"2031","DOI":"10.1007\/s10639-022-11265-4","volume":"28","author":"M Saini","year":"2023","unstructured":"Saini, M., Sengupta, E., Singh, M., Singh, H., Singh, J.: Sustainable Development Goal for Quality Education (SDG 4): a study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a genetic algorithm. Educ. Inf. Technol. 28(2), 2031\u20132069 (2023). https:\/\/doi.org\/10.1007\/s10639-022-11265-4","journal-title":"Educ. Inf. Technol."},{"issue":"10","key":"4374_CR32","doi-asserted-by":"publisher","first-page":"6347","DOI":"10.1109\/TII.2020.2966326","volume":"16","author":"J Yu","year":"2020","unstructured":"Yu, J., Zhou, X.: One-dimensional residual convolutional autoencoder based feature learning for gearbox fault diagnosis. IEEE Trans. Ind. Inform. 16(10), 6347\u20136358 (2020). https:\/\/doi.org\/10.1109\/TII.2020.2966326","journal-title":"IEEE Trans. Ind. Inform."},{"key":"4374_CR33","doi-asserted-by":"publisher","unstructured":"Banerjee, C., Mukherjee, T., Pasiliao Jr., E.: An empirical study on generalizations of the ReLU activation function. In: Proceedings of the 2019 ACM Southeast Conference, 2019, pp. 164\u2013167 (2019). https:\/\/doi.org\/10.1145\/3299815.3314450","DOI":"10.1145\/3299815.3314450"},{"key":"4374_CR34","doi-asserted-by":"publisher","unstructured":"Lu, L., Shin, Y., Su, Y., Karniadakis, G.E.: Dying ReLU and initialization: theory and numerical examples (2019). arXiv preprint arXiv:1903.06733. https:\/\/doi.org\/10.48550\/arXiv.1903.06733","DOI":"10.48550\/arXiv.1903.06733"},{"issue":"9","key":"4374_CR35","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.3390\/e23091160","volume":"23","author":"S Wang","year":"2021","unstructured":"Wang, S., Sun, G., Zheng, B., Du, Y.: A crop image segmentation and extraction algorithm based on Mask RCNN. Entropy 23(9), 1160 (2021). https:\/\/doi.org\/10.3390\/e23091160","journal-title":"Entropy"},{"key":"4374_CR36","doi-asserted-by":"publisher","unstructured":"Zhao, J., Zhu, H., Niu, L.: BiTNet: a lightweight object detection network for real-time classroom behavior recognition with transformer and bi-directional pyramid network. J. King Saud Univ. Comput. Inf. Sci. 35(8), 101670 (2023). https:\/\/doi.org\/10.1016\/j.jksuci.2023.101670","DOI":"10.1016\/j.jksuci.2023.101670"},{"issue":"14","key":"4374_CR37","doi-asserted-by":"publisher","first-page":"21353","DOI":"10.1007\/s11042-022-13801-3","volume":"82","author":"E Arkin","year":"2023","unstructured":"Arkin, E., Yadikar, N., Xu, X., Aysa, A., Ubul, K.: A survey: object detection methods from CNN to transformer. Multimed. Tools Appl. 82(14), 21353\u201321383 (2023). https:\/\/doi.org\/10.1007\/s11042-022-13801-3","journal-title":"Multimed. Tools Appl."},{"issue":"2","key":"4374_CR38","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1111\/coin.12411","volume":"37","author":"B Ghoshal","year":"2021","unstructured":"Ghoshal, B., Tucker, A., Sanghera, B., Lup Wong, W.: Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection. Comput. Intell. 37(2), 701\u2013734 (2021). https:\/\/doi.org\/10.1111\/coin.12411","journal-title":"Comput. Intell."},{"key":"4374_CR39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3196854","author":"A Abdelmutalab","year":"2022","unstructured":"Abdelmutalab, A., Wang, C.: Pedestrian detection using MB-CSP model and boosted identity aware non-maximum suppression. IEEE Trans. Intell. Transp. Syst. (2022). https:\/\/doi.org\/10.1109\/TITS.2022.3196854","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"4374_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.102947","volume":"107","author":"P Martinez","year":"2019","unstructured":"Martinez, P., Al-Hussein, M., Ahmad, R.: A scientometric analysis and critical review of computer vision applications for construction. Autom. Constr. 107, 102947 (2019). https:\/\/doi.org\/10.1016\/j.autcon.2019.102947","journal-title":"Autom. Constr."},{"key":"4374_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2020.104745","volume":"128","author":"M Haghani","year":"2020","unstructured":"Haghani, M.: Optimising crowd evacuations: mathematical, architectural and behavioural approaches. Saf. Sci. 128, 104745 (2020). https:\/\/doi.org\/10.1016\/j.ssci.2020.104745","journal-title":"Saf. Sci."},{"key":"4374_CR42","doi-asserted-by":"crossref","unstructured":"Sasikala, M.N., Shruthi, C., Mohana, A., Harika, M., Supriya, S.: An adaptive edge detecting method for satellite imagery based on canny edge algorithm. Int. J. Adv. Eng. Res. Sci. 7(4) (2020)","DOI":"10.22161\/ijaers.74.37"},{"issue":"1","key":"4374_CR43","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1515\/jisys-2019-0211","volume":"30","author":"A Suneetha","year":"2020","unstructured":"Suneetha, A., Srinivasa Reddy, E.: Robust Gaussian noise detection and removal in color images using modified fuzzy set filter. J. Intell. Syst. 30(1), 240\u2013257 (2020). https:\/\/doi.org\/10.1515\/jisys-2019-0211","journal-title":"J. Intell. Syst."},{"key":"4374_CR44","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.inffus.2019.09.003","volume":"55","author":"B Goyal","year":"2020","unstructured":"Goyal, B., Dogra, A., Agrawal, S., Sohi, B.S., Sharma, A.: Image denoising review: from classical to state-of-the-art approaches. Inf. Fusion 55, 220\u2013244 (2020). https:\/\/doi.org\/10.1016\/j.inffus.2019.09.003","journal-title":"Inf. Fusion"},{"issue":"1","key":"4374_CR45","doi-asserted-by":"publisher","first-page":"2091","DOI":"10.1038\/s41467-020-15745-4","volume":"11","author":"P Wang","year":"2020","unstructured":"Wang, P., Liang, J., Wang, L.V.: Single-shot ultrafast imaging attaining 70 trillion frames per second. Nat. Commun. 11(1), 2091 (2020). https:\/\/doi.org\/10.1038\/s41467-020-15745-4","journal-title":"Nat. Commun."},{"issue":"9","key":"4374_CR46","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2009","unstructured":"Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627\u20131645 (2009). https:\/\/doi.org\/10.1109\/TPAMI.2009.167","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4374_CR47","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1007\/s10514-019-09894-9","volume":"44","author":"E Maiettini","year":"2020","unstructured":"Maiettini, E., Pasquale, G., Rosasco, L., Natale, L.: On-line object detection: a robotics challenge. Auton. Robots 44, 739\u2013757 (2020). https:\/\/doi.org\/10.1007\/s10514-019-09894-9","journal-title":"Auton. Robots"},{"issue":"1","key":"4374_CR48","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1038\/s41524-018-0085-8","volume":"4","author":"V Stanev","year":"2018","unstructured":"Stanev, V., Oses, C., Kusne, A.G., Rodriguez, E., Paglione, J., Curtarolo, S., Takeuchi, I.: Machine learning modeling of superconducting critical temperature. NPJ Comput. Mater. 4(1), 29 (2018). https:\/\/doi.org\/10.1038\/s41524-018-0085-8","journal-title":"NPJ Comput. Mater."},{"issue":"1","key":"4374_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-021-00434-w","volume":"8","author":"S Srivastava","year":"2021","unstructured":"Srivastava, S., Divekar, A.V., Anilkumar, C., Naik, I., Kulkarni, V., Pattabiraman, V.: Comparative analysis of deep learning image detection algorithms. J. Big Data 8(1), 1\u201327 (2021). https:\/\/doi.org\/10.1186\/s40537-021-00434-w","journal-title":"J. Big Data"},{"key":"4374_CR50","doi-asserted-by":"publisher","unstructured":"Yacouby, R., Axman, D.: Probabilistic extension of precision, recall, and F1 score for more thorough evaluation of classification models. In: Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020, pp. 79\u201391 (2020). https:\/\/doi.org\/10.18653\/v1\/2020.eval4nlp-1.9","DOI":"10.18653\/v1\/2020.eval4nlp-1.9"},{"issue":"1","key":"4374_CR51","doi-asserted-by":"publisher","DOI":"10.1111\/disa.12601","volume":"48","author":"G Bankoff","year":"2024","unstructured":"Bankoff, G., Chakravarty, S., Jordan, S.: The warming city: the increasing risk of summer fires in Delhi. Disasters 48(1), e12601 (2024). https:\/\/doi.org\/10.1111\/disa.12601","journal-title":"Disasters"},{"key":"4374_CR52","doi-asserted-by":"crossref","unstructured":"Joshi, S.K., Saini, A.K.: Fire as a disaster: review of various prevention, protection and management techniques. In: Fifth World Congress on Disaster Management: Proceedings of the International Conference on Disaster Management, 24\u201327 November 2021, New Delhi, India, vol. IV, p. 242. Taylor & Francis (2023)","DOI":"10.4324\/9781003341970-29"},{"key":"4374_CR53","doi-asserted-by":"crossref","unstructured":"Joshi, V., Phulwani, P.: Consumer's safety concerns on fire hazards and readiness of electric vehicle batteries in India. In: Handbook of Evidence Based Management Practices in Business, pp. 479\u2013485. Routledge, New York (2023)","DOI":"10.4324\/9781003415725-59"},{"key":"4374_CR54","doi-asserted-by":"publisher","DOI":"10.1007\/s11668-023-01668-x","author":"S Juyal","year":"2023","unstructured":"Juyal, S., Abbasi, T., Abbasi, S.A.: An analysis of failures leading to fire accidents in hospitals; with specific reference to India. J. Fail. Anal. Prev. (2023). https:\/\/doi.org\/10.1007\/s11668-023-01668-x","journal-title":"J. Fail. Anal. Prev."},{"key":"4374_CR55","doi-asserted-by":"publisher","DOI":"10.3389\/frsen.2022.825190","volume":"3","author":"A Tyukavina","year":"2022","unstructured":"Tyukavina, A., Potapov, P., Hansen, M.C., Pickens, A.H., Stehman, S.V., Turubanova, S., et al.: Global trends of forest loss due to fire from 2001 to 2019. Front. Remote Sens. 3, 825190 (2022). https:\/\/doi.org\/10.3389\/frsen.2022.825190","journal-title":"Front. Remote Sens."},{"key":"4374_CR56","unstructured":"Ray, S., Thakur, V., Bandyopadhyay, K.: India's Insurance Sector: Challenges and Opportunities, Working Paper, No. 394. Indian Council for Research on International Economic Relations (ICRIER), New Delhi (2020)"},{"issue":"Suppl 1","key":"4374_CR57","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1007\/s40847-022-00225-w","volume":"24","author":"RS Deshpande","year":"2022","unstructured":"Deshpande, R.S.: Disaster management in India: are we fully equipped? J. Soc. Econ. Dev. 24(Suppl 1), 242\u2013281 (2022). https:\/\/doi.org\/10.1007\/s40847-022-00225-w","journal-title":"J. Soc. Econ. Dev."}],"updated-by":[{"DOI":"10.1007\/s10586-024-04576-3","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000}}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04374-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04374-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04374-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T12:50:42Z","timestamp":1725454242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04374-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,3]]},"references-count":57,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["4374"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04374-x","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s10586-024-04576-3","asserted-by":"object"}]},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,3]]},"assertion":[{"value":"9 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2024","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s10586-024-04576-3","URL":"https:\/\/doi.org\/10.1007\/s10586-024-04576-3","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}