Volume- 10, Issue- 02, Page- 47 to 55

by Susmita

Abstract Earthquakes pose significant threats to both human lives and structures, necessitating thoroughdynamic analysis for earthquake-prone buildings. Such analyses are crucial for designing earthquake-resistant structures that can withstand seismic forces. One effective strategy employed to mitigate thedestructive effects of earthquakes is the implementation of base isolation techniques. Base isolationinvolves the installation of isolators and energy-absorbing

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Volume- 13, Issue- 02, Page- 640 to 648

by amit

The extreme rise in environmental challenges owing to agricultural activities, among which paddystubble burning remains a huge concern. Burning about 15 million tons of paddy stubble leads toemissions discharge of various toxic pollutants and gases notably, nitrogen oxides, methane and carbonmonoxide in large scale causing global air pollution and climate change. The study focuses onobtaining

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Volume- 02, Issue- 01, Page- 14 to 22

by amit

The widespread utilization and ill-advised removal of single-use plastics have prompted critical natural contamination and asset consumption. Accordingly, society is progressively looking for supportable other options, with reusable plastic arising as a promising arrangement. This exploration paper intends to dig into the idea of reusable plastic, investigating its advantages, difficulties, and likely effect on squander

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Volume- 03, Issue- 01, Page- 54 to 67

by amit

Nanotechnology is significantly advancing the pharmaceutical industry by introducing nanosystems that improve drug delivery, therapeutic efficacy, and patient outcomes. Various nanosystems-such as liposomes, dendrimers, polymeric nanoparticles, solid lipid nanoparticles, carbon nanotubes, and metallic nanoparticles-offer benefits like enhanced bioavailability, targeted delivery, improved stability, and reduced side effects. Innovative formulation strategies, including surface functionalization, particle size optimization,

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Volume- 03, Issue- 01, Page- 1 to 21

by amit

Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without

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