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Ma.hine Lea.ning Ba.ed Depression,a.xiety,a.d Stress Predictive Model During COVID-19 Crisis

Computers, Ma.eria.s & Continua 2022年第3期70卷 5803-5820页

作者： Fa.d N.a.-Wesa.i Ha.eel a.sola. a.wer Musta.a.Hila. Ma.a. a.med Ha.za.Mesfer a. Duha.yim noha Negm Depa.tment of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Fa.ulty of Computer a.d IT Sana’a UniversitySana’aYemen Depa.tment of Informa.ion Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Depa.tment of Computer a.d Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Depa.tment of Na.ura. a.d a.plied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Computer Science Depa.tment King Khaled UniversityKSA Fa.ulty of Science Mathematics and Computer Science DepartmentMenoufia UniversityEgypt

Corona.Virus Disea.e-2019(COVID-19)wa. reported a. first in Wuha. city,China.by December *** Hea.th Orga.iza.ion(WHO)decla.ed COVID-19 a. a.pa.demic i.e.,globa. hea.th crisis onMa.ch 11,*** outbrea. of COVID-19 pa.demic a.d subsequent lockdowns to curb the sprea.,not only a.fected the economic sta.us of a.number of countries,but it a.so resulted in increa.ed levels of Depression,a.xiety,a.d Stress(Da.)a.ong ***,there is a.need exists to comprehend the rela.ionship a.ong psycho-socia. fa.tors in a.country tha. is hypothetica.ly a.fected by high levels of stress a.d fea.;with tremendously-limitingmea.ures of socia. dista.cing a.d lockdown in force;a.d with high ra.es of new ca.es a.d *** this motiva.ion,the current study a.ms a. investiga.ing theDa. levels a.ong college students during COVID-19 lockdown since they a.e identified a. a.highly-susceptible *** current study proposes to develop Intelligent Fea.ure Subset Selection withMa.hine Lea.ning-ba.ed Da. predictive(IFSSML-Da.)*** presented IFSSML-Da. model involves da.a.preprocessing,Fea.ure Subset Selection(FSS),cla.sifica.ion,a.d pa.a.eter ***,IFSSML-Da. model uses Group Gra. Wolf Optimiza.ion ba.ed FSS(GGWO-FSS)technique to reduce the curse of *** a.dition,Beetle Swa.m Optimiza.ion ba.ed Lea.t Squa.e Support Vector Ma.hine(BSO-LSSVM)model is a.so employed for cla.sifica.ion in which the weight a.d bia. pa.a.eters of the LSSVM model a.e optima.ly a.justed using BSO *** performa.ce of the proposed IFSSML-Da. model wa. tested using a.benchma.k Da.S-21 da.a.et a.d the results were investiga.ed under different *** outcome of the study suggests the development of specia.ized progra.s to ha.dleDa. a.ong popula.ion so a. to overcome COVID-19 crisis.

关键词： Psycho-socia. fa.tors covid-19 crisis ma.a.ement predictive models decision ma.ing ma.hine lea.ning

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Resource a.sessment of Wind Energy Potentia. of Mokha.in Yemen with Weibull Speed

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Computers, Ma.eria.s & Continua 2021年第10期69卷 1123-1140页

作者： a.dulba.et El-Bsha. Fa.d N.a.-Wesa.i a.een M.a.-Kustoba. Moha.ma. a.a.geer Na.hem Nemri Ma.dy M.Elta.ir Ha.y Ma.goub noha Negm Depa.tment of Electronic Engineering Faculty of EngineeringUniversity of Science and Technology UST-Sana’aYemen Depa.tment of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Fa.ulty of Computer a.d IT Sana’a UniversitySana’aYemen Depa.tment of Electronic Faculty of EngineeringUSTSana’aYemen Depa.tment of Informa.ion Systems King Khalid UniversityMayahel AseerKSA Depa.tment of Computer Science King Khaled UniversityKSA&Faculty of Computers and InformationMenoufia UniversityEgypt Depa.tment of Computer Science King Khaled UniversityKSA&Faculty of ScienceDepartment of Mathematics and Computer ScienceMenoufia UniversityEgypt

The increa.ing use of fossil fuels ha. a.significa.t impa.t on the environment a.d ecosystem,which increa.es the ra.e of *** the high potentia. of renewa.le energy sources in Yemen a.d other a.a.ic countries,a.d the a.sence of simila. studies in the *** study a.ms to exa.ine the potentia. of wind energy in Mokha.*** wa. done by a.a.yzing a.d eva.ua.ing wind properties,determining a.a.la.le energy density,ca.cula.ing wind energy extra.ted a. different a.titudes,a.d then computing the ca.a.ity fa.tor for a.few wind turbines a.d determining the *** speed wa. verified a. the closest to the a.era.e a.tua. wind speed using the cube root,a. this wa. verified using 3 criteria.for performa.ce a.a.ysis methods(R^(2)=0.9984,RMSE=0.0632,COE=1.028).The wind rose scheme wa. used to determine the a.propria.e direction for directing the wind turbines,the southerly direction wa. a.propria.e,a. the winds blow from this direction for 227 da.s per yea.,a.d the a.era.e southerly wind velocity is 5.27 m/s a. a. a.titude of 3 *** turbine selected in this study ha. a.tower height of 100m a.d a.ra.ed power of 3.45 *** ca.a.ita.ce fa.tor wa. ca.cula.ed for the three cla.ses of wind turbines cla.sified by the Interna.iona. Electrotechnica. Commission(IEC)a.d compa.ed,a.d the turbine of the first cla.s wa. a.proved,a.d it is suita.le for the study site,a. it resists storms more tha. *** da.ly a.d a.nua. ca.a.ity of a.single,first-cla.s turbine ha. been a.sessed to meet the needs of 1,447 housing units in Mokha.*** a.ount of energy tha. could be supplied to ea.h dwelling wa. a.ound 19 kWh per da.,which wa. a.equa.e to power the ba.ic loa.s in the home.

关键词： Wind energy system proba.ility density wind speed Weibull velocity Ra.leigh velocity wind rose

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a.a.ysis a.d a.sessment of Wind Energy Potentia. of Socotra.a.chipela.o in Yemen

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Computers, Ma.eria.s & Continua 2022年第1期70卷 1177-1193页

作者： Mura. a.a.mekhla.i Fa.d N.a.-Wesa.i Imra. Kha. Na.hem Nemri Kha.id Ma.mood Ha.y Ma.goub noha Negm a.in M.El-Kusta.a. a.ma. Za.a.y Depa.tment of Electrica. Engineering–Communica.ion Engineering Sana’a UniversityYemen Depa.tment of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Fa.ulty of Computer a.d IT Sana’a UniversitySana’aYemen Depa.tment of Electrica. Engineering University of Engineering and TechnologyPeshawarP.O.B 814Pakistan Depa.tment of Informa.ion Systems King Khalid UniversityMayahel AseerKSA Computer Science Depa.tment King Khaled UniversityKSA&Faculty of Computers and InformationComputer Science DepartmentMenoufia UniversityEgypt Computer Science Depa.tment King Khaled UniversityKSA&Faculty of ScienceDepartment of Mathematics and Computer ScienceMenoufia UniversityEgypt Electronics Depa.tment Faculty of EngineeringUSTSana’aYemen Fa.ulty of Computer a.d IT Sana’a UniversityYemen

The increa.ing use of fossil fuels ha. a.significa.t impa.t on the environment a.d ecosystem,which increa.es the ra.e of *** the high potentia. of renewa.le energy sources inYemen a.d the a.sence of simila. studies in the region,this study a.ms to exa.ine the potentia. of wind energy in Socotra.*** wa. done by a.a.yzing a.d eva.ua.ing wind properties,determining a.a.la.le energy density,ca.cula.ing wind energy extra.ted a. different a.titudes,a.d then computing the ca.a.ity fa.tor for a.number of wind turbines a.d determining the *** a.era.e wind speed in Socotra.Isla.d wa. obta.ned from the Civil a.ia.ion a.d Meteorology a.thority da.a.only for the five-yea. da.a.currently *** results showed high wind speeds from June to September(9.85-14.88 m/s)while the wind speed decrea.ed for the rest of the *** a.era.e wind speed in the five yea.s wa. 7.95 m/*** a.era.e a.nua. wind speed,wind energy density,a.d a.nua. energy density were ca.cula.ed a. different a.titudes(10,30,a.d 50 m).a.cording to the Interna.iona. Wind Energy Ra.ing criteria.the region of Socotra.Isla.d fa.ls under Ca.egory 7 a.d is cla.sified a.‘Superb’for most of the *** study provides useful informa.ion for developing wind energy a.d a. efficient wind a.proa.h.

关键词： Energy potentia. wind cha.a.teristics Weibull distribution wind power density Socotra.isla.d

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