Open Access

Comparison of compression estimations under the penalty functions of different violent crimes on campus through deep learning and linear spatial autoregressive models


Cite

Won S D, Chang E J. The relationship between school violence-related stress and quality of life in school teachers through coping self-efficacy and job satisfaction. School Mental Health, 2020, 12(1):pp. 136–144. WonS D ChangE J The relationship between school violence-related stress and quality of life in school teachers through coping self-efficacy and job satisfaction School Mental Health 2020 12 1 136 144 Search in Google Scholar

Estévez E, Jiménez T, Segura L. Emotional intelligence and empathy in aggressors and victims of school violence. Journal of educational psychology, 2019, 111(3): pp. 488. EstévezE JiménezT SeguraL Emotional intelligence and empathy in aggressors and victims of school violence Journal of educational psychology 2019 111 3 488 Search in Google Scholar

Moore H, Astor R A, Benbenishty R. Role of school-climate in school-based violence among homeless and nonhomeless students: Individual-and school-level analysis. Child Abuse & Neglect, 2020, 102: pp. 104378. MooreH AstorR A BenbenishtyR Role of school-climate in school-based violence among homeless and nonhomeless students: Individual-and school-level analysis Child Abuse & Neglect 2020 102 104378 Search in Google Scholar

Shaofei Wu. Research on the application of spatial partial differential equation in user oriented information mining, Alexandria Engineering Journal, 2020, 59(4): 2193–2199. WuShaofei Research on the application of spatial partial differential equation in user oriented information mining Alexandria Engineering Journal 2020 59 4 2193 2199 Search in Google Scholar

Hemmati F, Alqaradawi M, Gadala M S. Rolling element bearing fault diagnosticsusing acoustic emission technique and advanced signal processing. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2016, 230(1):pp. 64–77. HemmatiF AlqaradawiM GadalaM S Rolling element bearing fault diagnosticsusing acoustic emission technique and advanced signal processing, Proceedings of the Institution of Mechanical Engineers Part J: Journal of Engineering Tribology 2016 230 1 64 77 Search in Google Scholar

Zhang Y, Liu B, Ji X, et al. Classification of EEG signals based on autoregressive model and wavelet packet decomposition. Neural Processing Letters, 2017, 45(2): pp. 365–378. ZhangY LiuB JiX Classification of EEG signals based on autoregressive model and wavelet packet decomposition Neural Processing Letters 2017 45 2 365 378 Search in Google Scholar

Bringmann L F, Ferrer E, Hamaker E L, et al. Modeling nonstationary emotion dynamics in dyads using a time-varying vector-autoregressive model. Multivariate behavioral research, 2018, 53(3): pp. 293–314. BringmannL F FerrerE HamakerE L Modeling nonstationary emotion dynamics in dyads using a time-varying vector-autoregressive model Multivariate behavioral research 2018 53 3 293 314 Search in Google Scholar

Han L, Zhou M, Jia W, et al. Intrusion detection model of wireless sensor networks based on game theory and an autoregressive model. Information Sciences 2019, 476: pp. 491–504. HanL ZhouM JiaW Intrusion detection model of wireless sensor networks based on game theory and an autoregressive model Information Sciences 2019 476 491 504 Search in Google Scholar

Bourque A E, Carrier J F, Filion É, et al. A particle filter motion prediction algorithm based on an autoregressive model for real-time MRI-guided radiotherapy of lung cancer. Biomedical Physics & Engineering Express, 2017, 3(3): pp. 035001. BourqueA E CarrierJ F FilionÉ A particle filter motion prediction algorithm based on an autoregressive model for real-time MRI-guided radiotherapy of lung cancer Biomedical Physics & Engineering Express 2017 3 3 035001 Search in Google Scholar

Zhang S, Yao L, Sun A, et al. Deep learning based recommender system: A survey and new perspectives[J]. ACM Computing Surveys (CSUR), 2019, 52(1): pp. 1–38. ZhangS YaoL SunA Deep learning based recommender system: A survey and new perspectives[J] ACM Computing Surveys (CSUR) 2019 52 1 1 38 Search in Google Scholar

Fawaz H I, Forestier G, Weber J, et al. Deep learning for time series classification: a review. Data Mining and Knowledge Discovery, 2019, 33(4): pp. 917–963. FawazH I ForestierG WeberJ Deep learning for time series classification: a review Data Mining and Knowledge Discovery 2019 33 4 917 963 Search in Google Scholar

Chen J, Zeng G Q, Zhou W, et al. Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization. Energy conversion and management, 2018, 165: pp. 681–695. ChenJ ZengG Q ZhouW Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization Energy conversion and management 2018 165 681 695 Search in Google Scholar

Karim F, Majumdar S, Darabi H, et al. LSTM fully convolutional networks for time series classification. IEEE access, 2017, 6: pp. 1662–1669. KarimF MajumdarS DarabiH LSTM fully convolutional networks for time series classification IEEE access 2017 6 1662 1669 Search in Google Scholar

Benton A L. Violent crime and capital market punishment: How violent crime affects the supply of debt to municipal Mexico. Studies in Comparative International Development, 2017, 52(4): pp. 483–509. BentonA L Violent crime and capital market punishment: How violent crime affects the supply of debt to municipal Mexico Studies in Comparative International Development 2017 52 4 483 509 Search in Google Scholar

Eren O, Mocan N. Juvenile punishment, high school graduation and adult Crime: Evidence from idiosyncratic judge harshness. Review of Economics and Statistics, 2017: pp. 1–46. ErenO MocanN Juvenile punishment, high school graduation and adult Crime: Evidence from idiosyncratic judge harshness Review of Economics and Statistics 2017 1 46 Search in Google Scholar

Gerlinger J, Hipp J R. Schools and neighborhood crime: The effects of dropouts and high-performing schools on juvenile crime. The Social Science Journal, 2020: pp. 1–17. GerlingerJ HippJ R Schools and neighborhood crime: The effects of dropouts and high-performing schools on juvenile crime The Social Science Journal 2020 1 17 Search in Google Scholar

Shaofei Wu. AN USER INTENTION MINING MODEL BASED ON FRACTAL TIME SERIES PATTERN, FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2020, 28(8), Article Number 2040017. WuShaofei AN USER INTENTION MINING MODEL BASED ON FRACTAL TIME SERIES PATTERN, FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 2020 28 8 Article Number 2040017. Search in Google Scholar

Hu Y, Li J, Hong M, et al. Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process. Energy, 2019, 170: pp. 1215–1227. HuY LiJ HongM Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process Energy 2019 170 1215 1227 Search in Google Scholar

Sun S, Li G, Chen H, et al. A hybrid ICA-BPNN-based FDD strategy for refrigerant charge faults in variable refrigerant flow system. Applied Thermal Engineering, 2017, 127: pp. 718–728. SunS LiG ChenH A hybrid ICA-BPNN-based FDD strategy for refrigerant charge faults in variable refrigerant flow system Applied Thermal Engineering 2017 127 718 728 Search in Google Scholar

Kwon H B, Marvel J H, Roh J J. Three-stage performance modeling using DEA–BPNN for better practice benchmarking. Expert Systems with Applications, 2017, 71: pp. 429–441. KwonH B MarvelJ H RohJ J Three-stage performance modeling using DEA–BPNN for better practice benchmarking Expert Systems with Applications 2017 71 429 441 Search in Google Scholar

Song H, Wen H, Hu L, et al. Secure cooperative transmission with imperfect channel state information based on BPNN. IEEE Transactions on Vehicular Technology, 2018, 67(11): pp. 10482–10491. SongH WenH HuL Secure cooperative transmission with imperfect channel state information based on BPNN IEEE Transactions on Vehicular Technology 2018 67 11 10482 10491 Search in Google Scholar

Yu L, Zhou R, Tang L, et al. A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data. Applied Soft Computing, 2018, 69: pp. 192–202. YuL ZhouR TangL A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data Applied Soft Computing 2018 69 192 202 Search in Google Scholar

Taal A, Itard L. Fault Detection and Diagnosis for Indoor Air Quality in DCV systems: Application of 4S3F method and effects of DBN probabilities. Building and Environment, 2020: pp. 106–632. TaalA ItardL Fault Detection and Diagnosis for Indoor Air Quality in DCV systems: Application of 4S3F method and effects of DBN probabilities Building and Environment 2020 106 632 Search in Google Scholar

Candan Ç. Making linear prediction perform like maximum likelihood in Gaussian autoregressive model parameter estimation. Signal Processing, 2020, 166: pp. 107–256. CandanÇ Making linear prediction perform like maximum likelihood in Gaussian autoregressive model parameter estimation Signal Processing 2020 166 107 256 Search in Google Scholar

Shaofei Wu. Design of interactive digital media course teaching information query system, Information Systems and e-Business Management, 2020, 18(4): pp. 793–807. WuShaofei Design of interactive digital media course teaching information query system Information Systems and e-Business Management 2020 18 4 793 807 Search in Google Scholar

Han L, Zhou M, Jia W, et al. Intrusion detection model of wireless sensor networks based on game theory and an autoregressive model. Information Sciences, 2019, 476: pp. 491–504. HanL ZhouM JiaW Intrusion detection model of wireless sensor networks based on game theory and an autoregressive model Information Sciences 2019 476 491 504 Search in Google Scholar

Jung R C, Tremayne A R. Maximum-Likelihood Estimation in a Special Integer Autoregressive Model. Econometrics, 2020, 8(2): pp. 24. JungR C TremayneA R Maximum-Likelihood Estimation in a Special Integer Autoregressive Model Econometrics 2020 8 2 24 Search in Google Scholar

Andrey Kochergin. Besicovitch cascades and bounded partial quotients. Applied Mathematics and Nonlinear Sciences, 2020, 5(2):pp. 267–278. KocherginAndrey Besicovitch cascades and bounded partial quotients Applied Mathematics and Nonlinear Sciences 2020 5 2 267 278 Search in Google Scholar

Yanan Zhao. Analysis of Trade Effect in Post-Tpp Era: Based on Gravity Model and Gtap Model. Applied Mathematics and Nonlinear Sciences, 2020, 5(1):pp. 61–70. ZhaoYanan Analysis of Trade Effect in Post-Tpp Era: Based on Gravity Model and Gtap Model Applied Mathematics and Nonlinear Sciences 2020 5 1 61 70 Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics