In tissue engineering (TE), bacterial cellulose (BC) has emerged one of biomaterial that is highly adaptable and promising. It is utilized variety of therapeutic applications, like skin, bone, cartilage, and vascular regeneration. Because of its outstanding qualities, such as its high mechanical strength, superb biocom...
L. S. Sundar, H. Mewada, T. Apparao et al.· Biomedical & Pharmacolog...· 0 citations
This study is a detailed examination of the filtration process with a primary focus on the correlation of raw flow rates and measurements of pressure at different locations in a filtration system. The data show a significant change in pressure with increasing flow rates, demonstrating the effect of filtration efficienc...
Shabib Al Rashdi, Nayeemuddin Mohammed, H. Mewada et al.· Engineering, Technology &...· 0 citations
Brain’s electroencephalograms (EEG) signals, which represent human actions, are a crucial stage in human-machine interaction. It is essential to develop user-machine interfaces that are dependable, robust, and affordable. Complex and computationally intensive methods were formerly necessary to accurately classify brain...
T. Apparao, H. Mewada, L. S. Sundar· Biomedical & Pharmacolog...· 0 citations
Water contamination caused by organic pollutants leads to severe deterioration of water quality and major environmental concern worldwide. The implementation of effective monitoring and remediation measures is necessary for sustainable water treatment. A batch reactor using titanium oxide (TiO2) as a catalyst to remo...
Nayeemuddin Mohammed, Faizan Ahmed, H. Mewada et al.· Water supply : the review jo...· 0 citations
Due to industrialization, urbanization, and the need for sustainable water resources, the treatment of organic water has become a major environmental concern. Semiconductor photocatalysts degrade organic contaminants through a clean, energy-efficient process called photocatalysis. In this study, batch reactor experimen...
Nowadays, a big photovoltaic (PV) farm is operating to use solar energy as a source of electricity. Finding and estimating electrical problems on these farms is crucial to ensure the system is reliable, extract the maximum energy from it, and minimize maintenance costs. Machine learning algorithms are the tools that en...
H. Mewada, Miral Desai, L. S. Sundar· Engineering Research Express· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.