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Life-Cycle Cost Analysis of Seismic Designed RC Frames Including Environmental and Social Costs
Sequencing and phylogenetic analysis of phenylalanine ammonia lyase (pal) and chalcone synthase (chs) genes in some Iranian endemic species of Apiaceae
Sequencing and phylogenetic analysis of phenylalanine ammonia lyase (pal) and chalcone synthase (chs) genes in some Iranian endemic species of Apiaceae
Analysis of Impacts of Thermal Shocks on Mechanical Properties of E-Glass Fiber Reinforced Polyester Composites
Analysis of Impacts of Thermal Shocks on Mechanical Properties of E-Glass Fiber Reinforced Polyester Composites
Time-dependent vehicle routing problem with backhaul with FIFO assumption: Variable neighborhood search and mat-heuristic variable neighborhood search algorithms
Time-dependent vehicle routing problem with backhaul with FIFO assumption: Variable neighborhood search and mat-heuristic variable neighborhood search algorithms
Mono lacunary phosphomolybdate supported on mesoporous graphitic carbon nitride: An eco-friendly and effcient catalyst for oxidative desulfurization of the model and real fuels
Angular analysis of the decay $$ B+ \to K?(892)+mu+mu- $$ in proton-proton collisions at $$ \sqrt{\mathrm{s}} $$ = 8 TeV
Angular analysis of the decay $$ B+ \to K?(892)+mu+mu- $$ in proton-proton collisions at $$ \sqrt{\mathrm{s}} $$ = 8 TeV
Design, Analysis and Manufacturing of a Bone Cutting Ultrasonic Horn-Tool and Verification with Experimental Tests
Nonlocal integral elasticity based phase field modelling and simulations of nanoscale thermal- and stress-induced martensitic transformations using a boundary effect compensation kernel
Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses' preferences for working shifts and weekends off
Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses' preferences for working shifts and weekends off
Real Time Demand Response Modeling for Residential Consumers in Smart Grid Considering Renewable Energy With Deep Learning Approach