Institution
National Institute of Technology, Raipur
Education•Raipur, Chhattisgarh, India•
About: National Institute of Technology, Raipur is a education organization based out in Raipur, Chhattisgarh, India. It is known for research contribution in the topics: Computer science & Fault (power engineering). The organization has 1549 authors who have published 3229 publications receiving 25258 citations. The organization is also known as: NIT Raipur & Govt. College of Mining & Metallurgy.
Topics: Computer science, Fault (power engineering), Wireless sensor network, Fault detection and isolation, Support vector machine
Papers published on a yearly basis
Papers
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TL;DR: A fully convolutional network (FCN) based deep learning model for lymph nodes malignancy detection in computed tomography images and is customized with batch normalization and advanced activation function Leaky ReLU to accelerate the training and to overcome the problem of dying ReLU.
25 citations
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TL;DR: In this article, the photocatalytic activity of rGO-V2O5 nanocomposite was tested by photocatalysis degradation of methylene blue (MB) dye in visible light irradiation.
25 citations
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TL;DR: In this article, an attempt has been made with the electrochemical process by using aluminum electrode to treat the sugar industry wastewater, which has multiple combinations of organic and inorganic contaminants.
Abstract: Wastewater from sugar industry has multiple combinations of organic and inorganic contaminants. It has an adverse impact on nearby environment and requires specific type of treatment to minimize the effect. To treat the sugar industry wastewater, an attempt has been made with the electrochemical process by using aluminum electrode. Four process parameters were selected, namely initial pH (pH 4–10), current density (44.5–133.5 A/m2), electrode spacing (10–20 mm), and experimental time (20–100 min) to optimize the condition with surface response methodology. At optimum condition maximum, 69.2% chemical oxygen demand and 88.6% color reduction were archived at pH 7, current 1 A, electrode distance 1.5 cm and treatment time 60 min. The coefficient of the model predicted (R2) value of 0.87 and 0.48, and adjusted (R2) value of 0.64 and 0.45 for chemical oxygen demand and color reduction were obtained. The physicochemical characteristic indicates that settling sludge has more inorganic material as compared to floating sludge; hence, settling sludge has low calorific value than floating sludge.
25 citations
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01 Jan 2017TL;DR: Bioremediation is a term which defines the use of microorganisms for the removal of pollutants or other toxic agents from a contaminated site or industrial waste as discussed by the authors, which can counter the need to get rid of the pollutants and to maintain a less toxic environment.
Abstract: Bioremediation is a term which defines the use of microorganisms for the removal of pollutants or other toxic agents from a contaminated site or industrial waste. Microorganisms provide natural defense mechanisms to counter the need to get rid of the pollutants and to maintain a less toxic environment. Almost every industry generates some amount of waste products that are released in the environment leading to pollution and thus efforts are being needed and made to remove these pollutants from the environmental resources or at least detoxify them to prevent their hazardous effect on human population. Agriculture industry directly affects the human health and need in comparison to any other industry. Thus agricultural industry can introduce such contaminants in human system through food chain and web, via water bodies, soil and the food products. However, being the industry which feeds inhabitants of earth, it also remains the most important industry to all mankind. One of the major agricultural contaminant of soil and water bodies is synthetic pesticides routinely used in agricultural practices to enhance the productivity. They can have their health hazardous effect on humans ranging from throat and lung problem, irritation in eyes and even death depending upon the exposure time and quantity.
25 citations
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TL;DR: It is shown through mathematical analysis that the existence of the bloated state problem in mobile agents-based data aggregation causes increase in node's energy consumption as well as response time.
25 citations
Authors
Showing all 1625 results
Name | H-index | Papers | Citations |
---|---|---|---|
Shyam Sundar | 86 | 614 | 30289 |
Arun Kumar | 81 | 384 | 26259 |
Yogesh Sharma | 59 | 261 | 12027 |
Anil Kumar | 44 | 1411 | 11378 |
Xiangliang Pan | 43 | 227 | 5699 |
Rajesh Kumar | 37 | 525 | 6193 |
Subhamoy Bhattacharya | 33 | 198 | 3469 |
Vinod Kumar Singh | 32 | 186 | 3797 |
Kamlesh Shrivas | 26 | 98 | 2120 |
Varun Bajaj | 26 | 132 | 2791 |
Manoranjan Dash | 24 | 72 | 7720 |
Awanish Kumar | 24 | 141 | 2064 |
Anup Sharma | 23 | 99 | 3301 |
Manish Mishra | 22 | 56 | 1275 |
Pradeep Kumar Singh | 22 | 234 | 1720 |