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Principal component based hybrid model for time series forecasting
Principal component based hybrid model for time series forecasting
Nano-microbubbles and Feed Size Interaction in Lead and Zinc Sulfide Minerals Flotation
Nano-microbubbles and Feed Size Interaction in Lead and Zinc Sulfide Minerals Flotation
A novel block compressive sensing algorithm for SAR image formation
An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes
An algorithm for generating efficient block designs via a novel particle swarm approach
Efficient removal of methylene blue from water using magnetic Alyssum homolocarpum seed gum-based matrix
Aggregate size effects on fracture behavior of concrete SCB specimens
Hormetic effects of neonicotinoid insecticides on Rhizoglyphus robini (Acari: Acaridae)
Design of a radiation shield for an HPGe detector for a reactor-based PGNAA facility
Decentralized Configuration of TSCH-Based IoT Networks for Distinctive QoS: A Deep Reinforcement Learning Approach
Chemical Sensors Based on Molecularly Imprinted Polymers Can Determine Drug Release Kinetics from Nanocarriers without Filtration, Centrifugation, and Dialysis Steps
Chemical Sensors Based on Molecularly Imprinted Polymers Can Determine Drug Release Kinetics from Nanocarriers without Filtration, Centrifugation, and Dialysis Steps
Chemical Sensors Based on Molecularly Imprinted Polymers Can Determine Drug Release Kinetics from Nanocarriers without Filtration, Centrifugation, and Dialysis Steps