admin1eng، كاتب في مستودع بحوث جامعة القادسية

Investigation the effect of newly used polymer modifiedbitumen on the performance of hot mix asphalt containingreclaimed asphalt pavement

Admin1eng24/09/2024

Osamah H. CHAFAT, Sahar Basim Al-GHURAB, Basim H. Al-HUMEIDAWIUniversity of Al-Qadisiyah, College of EngineeringInvestigation the effect of newly used polymer ... قراءة المزيد

Laboratory evaluation of properties of modified asphalt binderwith different types of additives

Admin1eng24/09/2024

Laboratory evaluation of properties of modified asphalt binderwith different types of additivesEsraa R. Al-gurah1*, Sahar J. Al-ghurabi2, Basim H. Al-Humeidawi21Civil ... قراءة المزيد

Assessment of indirect tensile stress andtensile–strength ratio and creep compliancein HMA mixes with micro-silica and PMB

Admin1eng24/09/2024

Sahar Basim Al-ghurabi, Esraa R. Al-gurah* and Walaa Mohammed HamzaAssessment of indirect tensile stress andtensile–strength ratio and creep compliancein HMA ... قراءة المزيد

Tracking Area Update Procedure Unnecessary in5G: Improving User Experience and OffloadingSignaling Overhead

Admin1eng22/09/2024

Tracking Area Update Procedure Unnecessary in5G: Improving User Experience and OffloadingSignaling OverheadAlaa A. R. Alsaeedydept. of Electrical and Computer EngineeringColorado ... قراءة المزيد

A review of mobility management entity in LTE networks:Power consumption and signaling overhead

Admin1eng22/09/2024

A review of mobility management entity in LTE networks:Power consumption and signaling overheadAlaa A. R. Alsaeedy Edwin K. P. ChongDepartment ... قراءة المزيد

Detecting Regions At Risk for SpreadingCOVID-19 Using Existing Cellular WirelessNetwork Functionalities

Admin1eng22/09/2024

Detecting Regions At Risk for SpreadingCOVID-19 Using Existing Cellular WirelessNetwork FunctionalitiesAlaa A. R. Alsaeedy and Edwin K. P. Chong , ... قراءة المزيد

Applying interpretable machine learning to classify tree and utility polerelated crash injury types

Admin1eng08/09/2024

Applying interpretable machine learning to classify tree and utility polerelated crash injury typesSubasish Das a,⁎, Songjukta Datta a, Hamsa Abbas ... قراءة المزيد

Factors associated with driver injury severity of motor vehiclecrashes on sealed and unsealed pavements: Random parametermodel with heterogeneity in means and variances

Admin1eng08/09/2024

Factors associated with driver injury severity of motor vehiclecrashes on sealed and unsealed pavements: Random parametermodel with heterogeneity in means ... قراءة المزيد

Motor vehicle driver injury severity analysis utilizing a random parameterbinary probit model considering different types of driving licenses in 4-legsroundabouts in South Australia

Admin1eng08/09/2024

Hamsa Abbas Zubaidi a,b, Ihsan Ali Obaid a,b, Ali Alnedawi c,*, Subasish Das da School of Civil and Construction Engineering, ... قراءة المزيد

Applying interpretable machine learning to classify tree and utility polerelated crash injury types

Admin1eng08/09/2024

Subasish Das a,⁎, Songjukta Datta a, Hamsa Abbas Zubaidi b, Ihsan Ali Obaidba Texas A&M Transportation Institute, 1111 RELLIS Parkway, ... قراءة المزيد

مستودع بحوث جامعة القادسية

admin1eng

Investigation the effect of newly used polymer modifiedbitumen on the performance of hot mix asphalt containingreclaimed asphalt pavement

Laboratory evaluation of properties of modified asphalt binderwith different types of additives

Assessment of indirect tensile stress andtensile–strength ratio and creep compliancein HMA mixes with micro-silica and PMB

Tracking Area Update Procedure Unnecessary in5G: Improving User Experience and OffloadingSignaling Overhead

A review of mobility management entity in LTE networks:Power consumption and signaling overhead

Detecting Regions At Risk for SpreadingCOVID-19 Using Existing Cellular WirelessNetwork Functionalities

Applying interpretable machine learning to classify tree and utility polerelated crash injury types

Factors associated with driver injury severity of motor vehiclecrashes on sealed and unsealed pavements: Random parametermodel with heterogeneity in means and variances

Motor vehicle driver injury severity analysis utilizing a random parameterbinary probit model considering different types of driving licenses in 4-legsroundabouts in South Australia

Applying interpretable machine learning to classify tree and utility polerelated crash injury types

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