{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:43:47Z","timestamp":1769557427118,"version":"3.49.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"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":["Appl Intell"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s10489-024-05614-8","type":"journal-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:07:25Z","timestamp":1720570045000},"page":"9136-9157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of blast-hole utilization rate using structured nonlinear support vector machine combined with optimization algorithms"],"prefix":"10.1007","volume":"54","author":[{"given":"Bingbing","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuantong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guohao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,10]]},"reference":[{"key":"5614_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2020.103569","volume":"106","author":"XF Huo","year":"2020","unstructured":"Huo XF, Shi XZ, Qiu XY, Zhou J, Guo YG, Yu Z, Ke WY (2020) Rock damage control for large-diameter-hole lateral blasting excavation based on charge structure optimization. Tunn Undergr Space Technol 106:103569. https:\/\/doi.org\/10.1016\/j.tust.2020.103569","journal-title":"Tunn Undergr Space Technol"},{"key":"5614_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2023.130871","volume":"374","author":"QQ Li","year":"2023","unstructured":"Li QQ, Peng X, Wang J, Cheng YY, Zhang K, Dai WW, Ju CG, Zhang XY, Wu Y (2023) Non-sintered wrap-shell lightweight aggregates from dredged soils: study of softening coefficients and water absorption-desorption behavior. Constr Build Mater 374:130871. https:\/\/doi.org\/10.1016\/j.conbuildmat.2023.130871","journal-title":"Constr Build Mater"},{"key":"5614_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2023.105503","volume":"170","author":"RR Li","year":"2023","unstructured":"Li RR, Xu S, Li ZC, Suorineni FT, Zhu GJ (2023) Development and testing of self-swelling cartridge for use as stemming material in open-pit blasting \u2014A quarry case study. Int J Rock Mech Min 170:105503. https:\/\/doi.org\/10.1016\/j.ijrmms.2023.105503","journal-title":"Int J Rock Mech Min"},{"key":"5614_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2023.105453","volume":"169","author":"CX Li","year":"2023","unstructured":"Li CX, Yang RS, Wang YB, Kang YQ, Zhang YT (2023) Theory and numerical simulation of deep hole cut blasting based on dispersed charge and staged detonation. Int J Rock Mech Min 169:105453. https:\/\/doi.org\/10.1016\/j.ijrmms.2023.105453","journal-title":"Int J Rock Mech Min"},{"key":"5614_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engstruct.2022.115310","volume":"276","author":"QL Li","year":"2023","unstructured":"Li QL, Wang Y, Shao YD, Li L, Hao H (2023) A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer. Eng Struct 276:115310. https:\/\/doi.org\/10.1016\/j.engstruct.2022.115310","journal-title":"Eng Struct"},{"key":"5614_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2024.106253","volume":"170","author":"YM Hao","year":"2024","unstructured":"Hao YM, Wei XD, Li Q, Zhao GF (2024) A feasible approach for engineering-scale 3D blasting numerical modelling incorporating explosive charges and layout design. Comput Geotech 170:106253. https:\/\/doi.org\/10.1016\/j.compgeo.2024.106253","journal-title":"Comput Geotech"},{"key":"5614_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfracmech.2024.110144","volume":"304","author":"A Lu","year":"2024","unstructured":"Lu A, Yan P, Lu WB, Li XF, Liu X, Luo S, Huang SL, Grasselli G (2024) Crack propagation mechanism of smooth blasting holes for tunnel excavation under high in-situ stress. Eng Fract Mech 304:110144. https:\/\/doi.org\/10.1016\/j.engfracmech.2024.110144","journal-title":"Eng Fract Mech"},{"key":"5614_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2022.104407","volume":"123","author":"XF Huo","year":"2022","unstructured":"Huo XF, Shi XZ, Qiu XY, Zhou J, Guo YG, Yu Z, Zhang SZ (2022) A study on raise blasting and blast-induced vibrations in highly stressed rock masses. Tunn Undergr Space Technol 123:104407. https:\/\/doi.org\/10.1016\/j.tust.2022.104407","journal-title":"Tunn Undergr Space Technol"},{"key":"5614_CR9","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.ijrmms.2019.04.015","volume":"119","author":"JH Xu","year":"2019","unstructured":"Xu JH, Kang Y, Wang XC, Feng G, Wang ZF (2019) Dynamic characteristics and safety criterion of deep rock mine opening under blast loading. Int J Rock Mech Min 119:156\u2013167. https:\/\/doi.org\/10.1016\/j.ijrmms.2019.04.015","journal-title":"Int J Rock Mech Min"},{"key":"5614_CR10","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1016\/j.psep.2024.04.091","volume":"186","author":"JS Fan","year":"2024","unstructured":"Fan JS, Yuan Q, Chen J, Ren YW, Zhang DD, Yao H, Hu B, Qu YH (2024) Investigation of surrounding rock stability during proximal coal seams mining process and feasibility of ground control technology. Process Saf Environ 186:1447. https:\/\/doi.org\/10.1016\/j.psep.2024.04.091","journal-title":"Process Saf Environ"},{"issue":"2","key":"5614_CR11","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.ijmst.2022.09.022","volume":"33","author":"SK Singh","year":"2023","unstructured":"Singh SK, Banerjee BP, Raval S (2023) A review of laser scanning for geological and geotechnical applications in underground mining. Int J Min Sci Technol 33(2):133\u2013154. https:\/\/doi.org\/10.1016\/j.ijmst.2022.09.022","journal-title":"Int J Min Sci Technol"},{"key":"5614_CR12","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1016\/j.tust.2017.10.012","volume":"71","author":"BF Duan","year":"2018","unstructured":"Duan BF, Xia HL, Yang XX (2018) Impacts of bench blasting vibration on the stability of the surrounding rock masses of roadways. Tunn Undergr Space Technol 71:605\u2013622. https:\/\/doi.org\/10.1016\/j.tust.2017.10.012","journal-title":"Tunn Undergr Space Technol"},{"key":"5614_CR13","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.undsp.2023.01.006","volume":"11","author":"XM Ma","year":"2023","unstructured":"Ma XM, Chen ZY, Chen P, Zheng HZ, Gao XY, Xiang JJ, Chen LY, Huang YP (2023) Predicting the utilization factor of blasthole in rock roadways by random forest. Undergr Space 11:232\u2013245. https:\/\/doi.org\/10.1016\/j.undsp.2023.01.006","journal-title":"Undergr Space"},{"key":"5614_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2020.103781","volume":"110","author":"Y Luo","year":"2021","unstructured":"Luo Y, Xu K, Huang JH, Li XP, Liu TT, Qu DX, Chen PP (2021) Impact analysis of pressure-relief blasting on roadway stability in a deep mining area under high stress. Tunn Undergr Sp Technol 110:c103781. https:\/\/doi.org\/10.1016\/j.tust.2020.103781","journal-title":"Tunn Undergr Sp Technol"},{"key":"5614_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijimpeng.2022.104484","volume":"173","author":"M Kucewicz","year":"2023","unstructured":"Kucewicz M, Baranowski P, Mazurkiewicz L, Ma\u0142achowski J (2023) Comparison of selected blasting constitutive models for reproducing the dynamic fragmentation of rock. Int J Impact Eng 173:104484. https:\/\/doi.org\/10.1016\/j.ijimpeng.2022.104484","journal-title":"Int J Impact Eng"},{"key":"5614_CR16","doi-asserted-by":"publisher","first-page":"1380","DOI":"10.1016\/j.jrmge.2021.07.013","volume":"13","author":"EM Li","year":"2021","unstructured":"Li EM, Yang FH, Ren MH, Zhang XL, Zhou J, Khandelwal M (2021) Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms. J Rock Mech Geotech Eng 13:1380\u20131397. https:\/\/doi.org\/10.1016\/j.jrmge.2021.07.013","journal-title":"J Rock Mech Geotech Eng"},{"key":"5614_CR17","doi-asserted-by":"publisher","first-page":"103968","DOI":"10.1016\/j.tust.2021.103968","volume":"113","author":"XH Li","year":"2021","unstructured":"Li XH, Zhu ZM, Wang M, Wan DY, Zhou L, Liu RF (2021) Numerical study on the behavior of blasting in deep rock masses. Tunn Undergr Sp Technol 113:103968. https:\/\/doi.org\/10.1016\/j.tust.2021.103968","journal-title":"Tunn Undergr Sp Technol"},{"key":"5614_CR18","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1016\/j.jrmge.2021.10.011","volume":"14","author":"L Wojtecki","year":"2022","unstructured":"Wojtecki L, Iwaszenko L, Apel DB, Bukowska M, Mak\u00f3wka J (2022) Use of machine learning algorithms to assess the state of rock-burst hazard in underground coal mine openings. J Rock Mech Geotech Eng 14:703\u2013713. https:\/\/doi.org\/10.1016\/j.jrmge.2021.10.011","journal-title":"J Rock Mech Geotech Eng"},{"issue":"1","key":"5614_CR19","doi-asserted-by":"publisher","first-page":"224","DOI":"10.13199\/j.cnki.cst.2022-1804","volume":"51","author":"RS Yang","year":"2023","unstructured":"Yang RS, Li CX, Chen J, Zou FY, Wang YB, Xiao CL, Zhang ZR (2023) Development history and new technology research progress of rock roadway blasting excavation in coal mines in China. Coal Sci Technol 51(1):224\u2013241. https:\/\/doi.org\/10.13199\/j.cnki.cst.2022-1804. ([In Chinese])","journal-title":"Coal Sci Technol"},{"key":"5614_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105697","volume":"118","author":"N Y\u00fcksel","year":"2023","unstructured":"Y\u00fcksel N, B\u00f6rkl\u00fc HR, Sezer HK, Canyurt OE (2023) Review of artificial intelligence applications in engineering design perspective. Eng Appl Artif Intell 118:105697. https:\/\/doi.org\/10.1016\/j.engappai.2022.105697","journal-title":"Eng Appl Artif Intell"},{"issue":"18","key":"5614_CR21","doi-asserted-by":"publisher","first-page":"9189","DOI":"10.3390\/app12189189","volume":"12","author":"CK Archur","year":"2022","unstructured":"Archur CK, Onifade RM, Mohamad ET, Sabri MMS, Bohra M, Khandelwal M, Kwon S (2022) Prediction of blast-induced ground vibration at a limestone quarry: an artificial intelligence approach. Appl Sci-Basel 12(18):9189. https:\/\/doi.org\/10.3390\/app12189189","journal-title":"Appl Sci-Basel"},{"key":"5614_CR22","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.jrmge.2020.05.010","volume":"13","author":"AI Lawal","year":"2021","unstructured":"Lawal AI, Kwon S (2021) Application of artificial intelligence to rock mechanics: An overview. J Rock Mech Geotech Eng 13:248\u2013266. https:\/\/doi.org\/10.1016\/j.jrmge.2020.05.010","journal-title":"J Rock Mech Geotech Eng"},{"key":"5614_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2022.102727","volume":"77","author":"R Noriega","year":"2022","unstructured":"Noriega R, Pourrahimian Y (2022) A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning. Resour Policy 77:102727. https:\/\/doi.org\/10.1016\/j.resourpol.2022.102727","journal-title":"Resour Policy"},{"key":"5614_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2021.104794","volume":"143","author":"Z Yu","year":"2021","unstructured":"Yu Z, Shi XZ, Miao XH, Zhou J, Khandelwal M, Chen X, Qiu YG (2021) Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique. Int J Rock Mech Min 143:104794. https:\/\/doi.org\/10.1016\/j.ijrmms.2021.104794","journal-title":"Int J Rock Mech Min"},{"key":"5614_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2024.105585","volume":"145","author":"BB Yu","year":"2024","unstructured":"Yu BB, Li Q, Zhao TD (2024) Deformation extent prediction of roadway roof during non-support period using support vector regression combined with swarm intelligent bionic optimization algorithms. Tunn Undergr Sp Tech 145:105585. https:\/\/doi.org\/10.1016\/j.tust.2024.105585","journal-title":"Tunn Undergr Sp Tech"},{"key":"5614_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2024.115956","author":"ZS Yu","year":"2024","unstructured":"Yu ZS, Yuan Y, Tian PJ (2024) An efficient trust region algorithm with bounded iteration sequence for unconstrained optimization and its application in support vector machine. J Comput Appl Math. https:\/\/doi.org\/10.1016\/j.cam.2024.115956","journal-title":"J Comput Appl Math"},{"key":"5614_CR27","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1016\/j.jrmge.2021.08.005","volume":"13","author":"BR Murlidhar","year":"2021","unstructured":"Murlidhar BR, Nguyen H, Rostami J, Bui XN, Armaghani DJ, Ragam P, Mohamad ET (2021) Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network. J Rock Mech Geotech Eng 13:1413\u20131427. https:\/\/doi.org\/10.1016\/j.jrmge.2021.08.005","journal-title":"J Rock Mech Geotech Eng"},{"key":"5614_CR28","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1016\/j.ijmst.2022.07.006","volume":"32","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, He MC, Wang J, Guo S, Zhu C, Tao ZG, Wang C (2022) Investigation of a non-explosive directional roof cutting technology for self-formed roadway. Int J Min Sci Technol 32:997\u20131008. https:\/\/doi.org\/10.1016\/j.ijmst.2022.07.006","journal-title":"Int J Min Sci Technol"},{"key":"5614_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109343","volume":"127","author":"RX Zhang","year":"2022","unstructured":"Zhang RX, Li YF, Gui YL, Zhou J (2022) Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer. Appl Soft Comput 127:109343. https:\/\/doi.org\/10.1016\/j.asoc.2022.109343","journal-title":"Appl Soft Comput"},{"key":"5614_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2022.105250","volume":"160","author":"S Hosseini","year":"2022","unstructured":"Hosseini S, Poormirzaee R, Hajihassani M (2022) An uncertainty hybrid model for risk assessment and prediction of blast-induced rock mass fragmentation. Int J Rock Mech Min 160:105250. https:\/\/doi.org\/10.1016\/j.ijrmms.2022.105250","journal-title":"Int J Rock Mech Min"},{"issue":"1","key":"5614_CR31","doi-asserted-by":"publisher","first-page":"99","DOI":"10.11883\/bzycj-2016-0176","volume":"38","author":"Y Hong","year":"2018","unstructured":"Hong Y, Ma HH, Shen ZW, Ren LJ, Cui Y, Zhao K (2018) Research and application on efficient rock blasting based on circular free surface. Explosion Shock Waves 38(1):99\u2013105. https:\/\/doi.org\/10.11883\/bzycj-2016-0176. ([In Chinese])","journal-title":"Explosion Shock Waves"},{"key":"5614_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2020.104540","volume":"136","author":"YB Wang","year":"2020","unstructured":"Wang YB, Wen ZJ, Liu GQ, Wang JG, Zhou QB, Lu KQ, Wang DC, Wang BZ (2020) Explosion propagation and characteristics of rock damage in decoupled charge blasting based on computed tomography scanning. Int J Rock Mech Min 136:104540. https:\/\/doi.org\/10.1016\/j.ijrmms.2020.104540","journal-title":"Int J Rock Mech Min"},{"key":"5614_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2024.101189","volume":"34","author":"A Masurkar","year":"2024","unstructured":"Masurkar A, Daruwala R, Mohite A (2024) Performance analysis of SAR filtering techniques using SVM and Wishart Classifier. Remote Sens App: Soc Environ 34:101189. https:\/\/doi.org\/10.1016\/j.rsase.2024.101189","journal-title":"Remote Sens App: Soc Environ"},{"issue":"10","key":"5614_CR34","doi-asserted-by":"publisher","first-page":"14248","DOI":"10.1016\/j.jclepro.2024.142488","volume":"457","author":"C Wang","year":"2024","unstructured":"Wang C, Bai D, Li YB, Zhang Q, Ma X, Tian DL, Shan MM (2024) Establishment of critical non-depositing velocity prediction model for sediment in drip irrigation laterals based on PSO-SVM. J Clean Prod 457(10):14248. https:\/\/doi.org\/10.1016\/j.jclepro.2024.142488","journal-title":"J Clean Prod"},{"key":"5614_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110027","volume":"245","author":"ZG Hou","year":"2024","unstructured":"Hou ZG, Wang HW, Yue YB, Xiong ML, Zhang WX (2024) A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection. Reliab Eng Syst Saf 245:110027. https:\/\/doi.org\/10.1016\/j.ress.2024.110027","journal-title":"Reliab Eng Syst Saf"},{"issue":"1","key":"5614_CR36","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1007\/s10489-022-03408-4","volume":"53","author":"K Huang","year":"2023","unstructured":"Huang K, Wang XG (2023) CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem. Appl Intell 53(1):1192\u20131204. https:\/\/doi.org\/10.1007\/s10489-022-03408-4","journal-title":"Appl Intell"},{"key":"5614_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107649","volume":"110","author":"CE Santos","year":"2021","unstructured":"Santos CE, Sampaio C, Coelho LS, Bestard GA, Llanos CH (2021) Multi-objective adaptive differential evolution for SVM\/SVR hyperparameters selection. Pattern Recognit 110:107649. https:\/\/doi.org\/10.1016\/j.patcog.2020.107649","journal-title":"Pattern Recognit"},{"issue":"15","key":"5614_CR38","doi-asserted-by":"publisher","first-page":"18210","DOI":"10.1007\/s10489-021-03074-y","volume":"52","author":"JL Wang","year":"2022","unstructured":"Wang JL, Gong B, Liu H, Li SH (2022) An algorithm with harmonious blending of distributed swarm intelligence and geometric Brownian motion for greener heterogeneous scheduling. Appl Intell 52(15):18210\u201318225. https:\/\/doi.org\/10.1007\/s10489-021-03074-y","journal-title":"Appl Intell"},{"issue":"12","key":"5614_CR39","doi-asserted-by":"publisher","first-page":"15603","DOI":"10.1007\/s10489-022-04299-1","volume":"53","author":"A Karaman","year":"2023","unstructured":"Karaman A, Karaboga D, Pacal I, Akay B, Basturk A, Nalbantoglu U, Coskun S, Sahin O (2023) Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. Appl Intell 53(12):15603\u201315620. https:\/\/doi.org\/10.1007\/s10489-022-04299-1","journal-title":"Appl Intell"},{"key":"5614_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110564","volume":"145","author":"B Sun","year":"2023","unstructured":"Sun B (2023) A dimensionless model and ant colony optimization fusion temperature prediction in tunnel fires. Appl Soft Comput 145:110564. https:\/\/doi.org\/10.1016\/j.asoc.2023.110564","journal-title":"Appl Soft Comput"},{"key":"5614_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.109032","volume":"231","author":"H Nguyen","year":"2023","unstructured":"Nguyen H, Biu XN, Topal E (2023) Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings. Reliab Eng Syst Safe 231:109032. https:\/\/doi.org\/10.1016\/j.ress.2022.109032","journal-title":"Reliab Eng Syst Safe"},{"key":"5614_CR42","doi-asserted-by":"publisher","first-page":"104345","DOI":"10.1016\/j.dsp.2023.104345","volume":"145","author":"JN Li","year":"2024","unstructured":"Li JN, Luo WG, Bai MS, Song MK (2024) Fault diagnosis of high-speed rolling bearing in the whole life cycle based on improved grey wolf optimizer-least squares support vector machines. Digit Signal Process 145:104345. https:\/\/doi.org\/10.1016\/j.dsp.2023.104345","journal-title":"Digit Signal Process"},{"key":"5614_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2023.109575","volume":"223","author":"VT Truong","year":"2023","unstructured":"Truong VT, Anand N (2023) System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO. Comput Netw 223:109575. https:\/\/doi.org\/10.1016\/j.comnet.2023.109575","journal-title":"Comput Netw"},{"key":"5614_CR44","doi-asserted-by":"publisher","first-page":"111394","DOI":"10.1016\/j.asoc.2024.111394","volume":"154","author":"BJ Kuo","year":"2024","unstructured":"Kuo BJ, Chiu TH (2024) Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction. Appl Soft Comput 154:111394. https:\/\/doi.org\/10.1016\/j.asoc.2024.111394","journal-title":"Appl Soft Comput"},{"key":"5614_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106591","volume":"125","author":"R Wang","year":"2023","unstructured":"Wang R, Chen SJ, Li XL, Tian G, Zhao TB (2023) AdaBoost-driven multi-parameter real-time warning of rock burst risk in coal mines. Eng Appl Artif Intell 125:106591. https:\/\/doi.org\/10.1016\/j.engappai.2023.106591","journal-title":"Eng Appl Artif Intell"},{"issue":"4","key":"5614_CR46","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/BF01045717","volume":"30","author":"Y Yang","year":"1997","unstructured":"Yang Y, Zhang Q (1997) A hierarchical analysis for rock engineering using artificial neural networks. Rock Mech Rock Eng 30(4):207\u2013222. https:\/\/doi.org\/10.1007\/BF01045717","journal-title":"Rock Mech Rock Eng"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05614-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-024-05614-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05614-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T13:09:47Z","timestamp":1723727387000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-024-05614-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":46,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["5614"],"URL":"https:\/\/doi.org\/10.1007\/s10489-024-05614-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"12 June 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human participants"}},{"value":"The authors declare that they have no conflict of interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}}]}}