@incollection{, 166413F996221200F06D6A45A7724DA2 , author={{JiyongHua} and {Zhi JunLi} and {GegeJin} and {HongmeiYin}}, journal={{Global Journal of Science Frontier Research}}, journal={{GJSFR}}2249-46260975-589610.34257/GJSFR, address={Cambridge, United States}, publisher={Global Journals Organisation}2364551 } @incollection{b0, , title={{Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach}} , author={{ WQianlong } and { GYifan } and { YLixing } and { LPan }} , journal={{IEEE Transactions on Emerging Topics in Computing}} 8 1 , year={2020} } @incollection{b1, , title={{Crack Models of Repeating Earthquakes Predict Observed Moment-Recurrence Scaling}} , author={{ CCattania } and { PSegall }} , journal={{Journal of geophysical research. Solid earth}} 124 1 , year={2019} } @book{b2, , title={{Analyzing The Performance Of Gps Data For Earthquake Prediction [J], Remote sensing}} , author={{ ValeriGitis } and { AlexanderDerendyaev } and { KonstantinNPetrov }} , year={2021} 13 1842 } @incollection{b3, , title={{Laboratory Earthquake Prediction Of Granite}} , author={{ Chang-QingLi } and { Xiao-PingZhou }} , journal={{Tribology International}} 160 , year={2021} } @incollection{b4, , title={{Stigma In Science: The Case Of Earthquake Prediction}} , author={{ JHelene } and { RTiziana } and { CarolineBCliodhna } and { O }} , journal={{Disasters}} 42 1 , year={2018} } @incollection{b5, , title={{Dlep: A Deep Learning Model For Earthquake Prediction}} , author={{ LRui } and { LXiaobo } and { LShuowei } and { YHaipeng } and { QJianfeng } and { ZLei }} , booktitle={{IEEE International Joint Conference on Neural Network}} 2020 } @incollection{b6, , title={{Pre-earthquake processes: a multidisciplinary approach to earthquake prediction studies}} , author={{ WilliamHPrescott }} 61.0(16): 2080.0-2082.0 , journal={{International geology review}} , year={2019} } @incollection{b7, , title={{The Collaboratory for the Study of Earthquake Predictability: Achievements and Priorities}} , author={{ SDanijel } and { MWWarner } and { MThomas } and { H JYosihiko } and { ODavid } and { D JSum } and { MDavid } and { A RMatthew } and { C GNaoshi } and { HMaria } and { LPhilip } and { J M } and { AnneS } and { MatteoT } and { StefanWJeremy } and { D ZJiancang } and { Z }} , journal={{Seismological Research Letters}} 89 4 , year={2018} } @incollection{b8, , title={{BAT-ANN based earthquake prediction for Pakistan region}} , author={{ SabaSehrish } and { FarazAhsan } and { Sajjadmohsin }} , journal={{Soft computing}} 21 19 , year={2017} } @incollection{b9, , title={{A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction}} , author={{ ACGualberto } and { MFrancisco } and { AM } and { JorgeR }} , journal={{Knowledge-based systems}} 101 C , year={2016} } @book{b10, , author={{ ElshinOleg } and { TroninAndrew } and { A }} , title={{Global Earthquake Prediction Systems, arXiv preprint arXiv}} , year={2020, 2003(07593} } @incollection{b11, , title={{On some methods for assessing earthquake predictions}} , author={{ GMolchan } and { LRomashkova } and { APeresan }} , journal={{Geophysical journal international}} 210 3.0 , year={2017} } @incollection{b12, , title={{Lstm-Based Models For Earthquake Prediction}} , author={{ AsmaeBerhich } and { Fatima-ZahraBelouadha } and { MohammedIssamKabbaj }} , booktitle={{International Conference on Networking}} , year={2020} 46 7 }