Institution
Christ University
Education•Bengaluru, India•
About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.
Topics: Computer science, Convection, Cloud computing, Population, Heat transfer
Papers published on a yearly basis
Papers
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TL;DR: An overview on the new and expanding area of computational vaccinology and a brief background on pathogen antigenicity, identification of pathogen-specific antigens, and screening of candidate antigen using various tools and databases developed in the recent past are provided.
Abstract: Pathogenic organisms, causes of various infectious diseases, possess a rich repository of antigenic proteins that engender an immune response in a host. These types of diseases are usually treated with the use of pharmaceuticals; unfortunately, many of these also have a potential to induce fatal side effects, especially allergic responses in the diseased host. In addition, many pathogens evolve (by selective survival) single or multi-drug resistance (MDR). Therefore, a means to prevent the host from becoming susceptible to the pathogen from the onset, rather than trying to devise pharmacologic protocols to treat an ongoing infection, are increasingly seen as desirable to reduce the incidence of infectious diseases altogether. To this end, cost-effective development and use of “safe” vaccines is key. This paper provides an overview on the new and expanding area of computational vaccinology and a brief background on pathogen antigenicity, identification of pathogen-specific antigens, and screening of candidate antigens using various tools and databases developed in the recent past.
15 citations
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TL;DR: In this article, a Schiff base derivative containing 1, 2, 4-triazole nucleus (TMPIMP) was synthesized from 4- [1,2,4] triazol-1-ylmethyl-phenylamine and salicylaldehyde in the presence of glacial acetic acid in an ethanolic medium.
15 citations
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TL;DR: In this paper, a literature review aims to suggest an effective way to treat the wastewater by combining various methods, coupling it with value addition like energy generation, and provide a direction for future research to integrated treatment with valorization along with a focus on emerging technologies.
Abstract: Coffee is one of the most significant beverages consumed worldwide, dating to times immemorial. It plays a pivotal role in several economies owing to its second position in the list of trading commodity, after petroleum. The growing demand for coffee has resulted in a great amount of coffee production and processing and subsequent release of large volumes of wastewater. This wastewater is characterized to have very high chemical oxygen demand and biological oxygen demand with potential to cause environmental pollution thus requiring smart strategies to effectively reduce their load of the wastewater before releasing them into the habitable ambiance. The existing research on coffee wastewater treatment should be critically analyzed for their sustainability and economic viability for them to be commercially used in developing countries for effluent mitigation. This literature review aims to suggest an effective way to treat the wastewater by combining various methods, coupling it with value addition like energy generation. The goal of this review is to provide a direction for future research to integrated treatment with valorization along with a focus on emerging technologies.
15 citations
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18 Mar 2016TL;DR: Comparative study on various collaborative filtering methods utilized in recommending process are done and the results are plotted graphically.
Abstract: Recommendation System is a quickly progressing study area. Many new approaches are offered so far. In this particular paper we have researched on various applications of recommender system and various techniques used in recommender system like collaborative filtering, content-based filtering and hybrid filtering. Collaborative filtering is amongst the common methods utilized in recommending process. So comparative study on various collaborative filtering is done and the results are plotted graphically.
15 citations
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01 Jan 2021TL;DR: In this paper, a conceptual paper focusing on the key concept of green IoT and sustainability, knowledge of smart cities' readiness to green IoT (G-IoT)-enabled sustainable practices, and identifying the Green IoT sustainability practices for smart cities.
Abstract: With governments of different countries having a vision of smart cities, the technology adoption and implementation are at its peak and the current increase in the usage of advanced technology for a smart city has led to an increase in the carbon imprint across the globe, which needs immediate attention for the environment sustainability. Although the Internet of things (IoT)-enabled devices have changed our world by bringing an ease to our lifestyle, it has to be kept under consideration that they also have adverse effects on the environment. Over the past few years, enabling energy conservation via Internet of Things in the growth of smart cities has received a great deal of attention from researchers and industry experts and has paved the way for an emerging field called the green IoT. There are different dimensions of IoT, in which an effective energy consumption is needed to encourage a sustainable environment. This conceptual paper focuses on the key concept of green IoT and sustainability, knowledge of Smart cities’ readiness to Green IoT (G-IoT)-enabled sustainable practices, and identifying the Green IoT sustainability practices for smart cities.
15 citations
Authors
Showing all 2404 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matt S. Owers | 56 | 217 | 8765 |
Bijjanal Jayanna Gireesha | 40 | 233 | 4748 |
Basavarajappa Mahanthesh | 38 | 158 | 3580 |
Madhavi Rangaswamy | 31 | 52 | 3063 |
Siddhartha Bhattacharyya | 30 | 251 | 3481 |
Rohan Fernandes | 28 | 55 | 2585 |
Gurumurthy Hegde | 27 | 176 | 2185 |
Pundikala Veeresha | 27 | 67 | 1825 |
Pradeep G. Siddheshwar | 26 | 156 | 2298 |
Renjith S. Pillai | 25 | 65 | 2663 |
Brij Kumar Dhindaw | 25 | 123 | 2224 |
Sukalyan Dash | 24 | 137 | 2682 |
Anil Agarwal | 21 | 185 | 1695 |
Maggi Banning | 20 | 73 | 1695 |
Lakshmi S. Iyer | 19 | 123 | 2276 |