DATA-DRIVEN ENERGY EFFICIENCY MODELING IN LARGE-SCALE NETWORKS: AN EXPERT KNOWLEDGE AND ML-BASED APPROACH


Substitution effects of conventional concrete with high-performance fiber-reinforced cementitious composite (HPFRCC) in beams reinforced with GFRP bars

Glass Fiber Reinforced Polymer (GFRP) composite bars with high anti-corrosion property, and tensile strength should be designed, so that concrete in the compression zone reaches its ultimate tension before the rupture of bars.In this paper, the effect ISO WHEY VANILLA of employing High-Performance Fiber-Reinforced Cementitious Composite (HPFRCC) co

read more

Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images

Successful training of convolutional neural networks (CNNs) requires a substantial amount of data.With small datasets, networks generalize poorly.Data Augmentation techniques improve the generalizability of neural networks by using existing training data more effectively.Standard data augmentation methods, however, produce limited plausible alterna

read more


LEGAL POLITICAL OF WELL-KNOWN TRADEMARK PROTECTION REVIEWED FROM DEVELOPMENT OF TRADEMARK LAW IN INDONESIA TO AVOID FRAUDULENT COMPETITION

The achievement of a Trademark in order to become famous is not an easy job, the obstacle of building a Trademark into a well-known trademark is a factor that encourages the emergence of Hand Treatments fraudulent competition that is detrimental to others.The Issuance of Law No.20 of 2016 concerning Trademarks and Geographical Indications is deemed

read more