FIRE RISK REDUCTION AND RECOVER ENERGY POTENTIAL: A DISRUPTIVE THEORETICAL OPTIMIZATION MODEL TO THE RESIDUAL BIOMASS SUPPLY CHAIN

Fire Risk Reduction and Recover Energy Potential: A Disruptive Theoretical Optimization Model to the Residual Biomass Supply Chain

Rural fires have been a constant concern, with most being associated with land abandonment.However, some fires occur due to negligent attitudes towards fire, which is often used to remove agroforestry leftovers.In addition to the fire risk, this burning also represents a waste of the energy present in this residual biomass.Both rural fires and ener

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Comparison of Different Image Data Augmentation Approaches

Convolutional neural networks (CNNs) have gained prominence in the research literature on image classification over the last decade.One shortcoming of CNNs, however, is their lack of generalizability and ORG SPRUCE BLACK ESSENTIAL OIL tendency to overfit when presented with small training sets.Augmentation directly confronts this problem by generat

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Walkability and Its Relationships With Health, Sustainability, and Livability: Elements of Physical Environment and Evaluation Frameworks

Urban sprawl and increasing population density in urban centers create the challenge to finding ways of sustainable transportation solutions that preserve the convenience of residents while reducing emissions.Therefore, walkability is a core urban design element because of being advantageous onto three fronts: health, livability, and sustainability

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