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Nickel/cobalt/copper sulfide dodecahedral hollow multi-shelled structures, characterization, and application as a suitable nanomaterial for high-performance supercapacitors
Nickel/cobalt/copper sulfide dodecahedral hollow multi-shelled structures, characterization, and application as a suitable nanomaterial for high-performance supercapacitors
Association of follicular fluid parameters at the time of ovum pick-up with in vitro blastocyst formation in Holstein heifers: a multi-level analysis
Association of follicular fluid parameters at the time of ovum pick-up with in vitro blastocyst formation in Holstein heifers: a multi-level analysis
Association of follicular fluid parameters at the time of ovum pick-up with in vitro blastocyst formation in Holstein heifers: a multi-level analysis
The time-dependent multi-depot fleet size and mix green vehicle routing problem: improved adaptive large neighbourhood search
Multi-objective optimization for optimal extraction of groundwater from a nitrate-contaminated aquifer considering economic-environmental issues: A case study
Multi-objective optimization for optimal extraction of groundwater from a nitrate-contaminated aquifer considering economic-environmental issues: A case study
A texture study of nanostructured Al-u2013Cu multi-layered composite manufactured via the accumulative roll bonding (ARB)
A texture study of nanostructured Al-u2013Cu multi-layered composite manufactured via the accumulative roll bonding (ARB)
An adaptive multi-step Levenberg-Marquardt continuation power flow method for voltage stability assessment in the Ill-conditioned power systems
Multi-Input High Step-up DC-DC Converter with Independent Control of Voltage and Power for Hybrid Renewable Energy Systems
An incentive-based policy on reduction of GHG emissions and loss minimization using adaptive group search multi-objective optimization algorithm
Utilizing visible and near infrared spectroscopy based on multi-class support vector machines classification to characterize olive oil adulteration
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF THE DEEP DRAWING PROCESS FOR AN AUTOMOBILE PANEL AND PREDICTION OF APPROPRIATE AMOUNT OF PARAMETERS BY MULTI-LAYER NEURAL NETWORK