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33 results on '"Chandra, Nilesh"'

2. Development of Fused Recurrent Neural Network‐Gated Recurrent Unit with Improved Sandpiper Optimization‐based Intelligent Node Localization Framework in WSN.

Author

Raghuvanshi, Akash, Kumar, Awadhesh, and Chandra, Nilesh

Subjects
OPTIMIZATION algorithms, RECURRENT neural networks, WIRELESS sensor networks, GLOBAL Positioning System, SENSOR networks
Abstract

Summary: Employing mobile nodes or Sensor Nodes (SN) in the Wireless Sensor Networks (WSNs) is a critical task within the coverage area. However, these techniques produce huge errors in the evaluated distance between source nodes and unknown nodes, which increases the average NL error of the unknown node. The usage of a Global Positioning System (GPS) for all the SNs needs high cost for implementation in large‐scale WSNs. The designing of NL in WSN with less energy requirements and less cost is very significant. Enhanced NL is performed with deep learning techniques together with the heuristic strategy for performance enhancement. The developed localization model is mainly utilized for providing fast, scalable, and easily implementable results over heterogeneous and homogeneous networks. Moreover, it is applicable for sparse and dense deployment of nodes. Here, a hybridized deep structured approach is employed by integrating the Recurrent Neural Network (RNN) with a Gated Recurrent Unit (GRU) for calculating the distance among the source nodes to facilitate determining the optimal location for the unidentified node by analyzing the node information present in the received packets. Here, the optimization of constraints executed in the deep learning techniques with the Modified Exploration‐based Sandpiper Optimization Algorithm (ME‐SOA), and also it is utilized to find the optimal location of unknown nodes based on computed distance from the received packets that minimize the average localization error. The experimental results are validated and show the effectiveness of the proposed algorithm with a reduced error rate than other algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Contributors

Author

Abdulla, Sherief, Agarwal, Josh, Apinaya Prethi, K.N., Arora, Parth, Banerjee, Ananya, Barde, Ketaki, Bendale, Shailesh Pramod, Berkani, Lamia, Bhadoria, Robin Singh, Bharti, Ajay Kumar, Bhatnagar, Shobhit, Bhoj, Naman, Chandra, Nilesh, Deshpande, Santosh L., Diwedi, Anuj, Dubey, Rahul Kumar, Eyoh, Imo J., Ganesan, A., Gupta, Ashray, Gupta, Manu K., Gusev, Marjan, Hari, Rajeswary, Hariharan, U., Haroon, Mohd, Harshvardhan, Hemachandra, Nandyala, Jain, Shashi, Jijina, G.O., Kalaivani, A., Kaliwal, Rohit B., Kanimozhi, N., Kanya, N., Kashyap, Ramgopal, Kashyap, Harsh, Kerboua, Imene Lydia, Khakhar, Param, Kumar, Santosh, Kumar, Swarup, Manry, Michael, Mathew, Elezabeth, Mishra, Eesha, Murugesan, Vadivel S., Nalinashini, G., Nithya, S., Nivurruti, Megha, Nyoho, Emmanuel E., Pal, Vipin, Pandey, Rajiv, Pathak, Dharmendra, Pillai, Anju S., Ponmagal, R.S., Prasad, Jayashree Rajesh, Prasad, Rajesh Shardanand, Prathap, Boppuru Rudra, Rahamatkar, Surendra, Rajkumar, K., Rane, Chinmay, Sahai, Archana, Sangeetha, M., Saravanan, Vijayalakshmi, Saxena, Rahul, Sendilvelan, S., Sharma, Shambhavi, Shree Charran, R., Siddiqui, Zeeshan Ali, Singh, Mukul, Singh, Vaishali, Solainayagi, P., Sriram, Raghavendra, Sujatha, K., Tiwari, Ashish, Tyagi, Kanishka, Umoh, Uduak A., Woungang, Isaac, Yadav, Anju, and Zeghoud, Sofiane

Published
2022
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26. In vivo, Extract from Withania somniferaRoot Ameliorates Arthritis viaRegulation of Key Immune Mediators of Inflammation in Experimental Model of Arthritis

Author

Khan, Mahmood A., Ahmed, Rafat Sultana, Chandra, Nilesh, Arora, Vinod Kumar, and Ali, Athar

Abstract

Background: Rheumatoid Arthritis (RA) is a devastating disease characterized by continual addition of leukocytes and T cells within the articular cavity causing inflammation and cartilage destruction. Withania somnifera is one of the most precious medicinal herbs, reported to have antioxidant, anti128;inflammatory, and immunomodulatory properties. Objective: The purpose of this study was to evaluate anti-inflammatory activity of aqueous extract of Withania somnifera roots (WSAq) in Collagen Induced Arthritic (CIA) rats. Methods: To achieve this, we assessed the level of inflammatory cytokines such as Tumor Necrosis Factor (TNF)-α, IL-1β, IL-6 and IL-10 in CIA rats. Further, transcription factor, oxidative stress parameters and CD+8 expressions were also analyzed in CIA rats. Results: Arthritic rats showed a greater increase in the levels of pro inflammatory cytokines such as TNF-α, IL-1β, IL-6, transcription factor NF-ΚB and a decrease in IL-10 concentration than controls rats. Oral administration of WSAq at a dose of 300mg/kg.wt. (WSAq300) appreciably attenuated the production of these pro inflammatory cytokines. This anti-inflammatory activity of WSAq300 might be partly mediated through an increase in the secretion of IL-10 and inhibition of NF-ΚB activity. Further, arthritic rats also show increased oxidative stress as compared to control rats. This increased oxidative stress in the arthritic rats appears to be the outcome of both an activated pro-oxidant and a poor antioxidant defense system. Treatment with WSAq300 strongly ameliorates all these ROS parameters significantly to near normal. Additional, metalloproteinase MMP-8 levels were also measured and found to be increased in CIA rats, which after treatment with WSAq300 came down to near normal. Conclusion: From the above results, it can be concluded that the use of WSAq300 may be a valuable supplement which can improve human arthritis.

Published
2019
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32. How providers can best accommodate patient-reported data.

Author

Phillips, Jenna and Chandra, Nilesh

Subjects
HEALTH care industry, STAKEHOLDERS
Abstract

New technologies have implementation challenges, including interoperability, patient privacy, and accuracy and reliability concerns. [ABSTRACT FROM AUTHOR]

Published
2019

33. How best to navigate uncertainty in healthcare.

Author

Chandra, Nilesh

Subjects
MEDICAL care
Abstract

Three trends, including the use of healthcare IT, have emerged in recent years and are crucial to changes that the industry will see as the Trump administration reforms healthcare. [ABSTRACT FROM AUTHOR]

Published
2016

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