Institution
Indian Institute of Technology Indore
Education•Indore, Madhya Pradesh, India•
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Fading & Support vector machine. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.
Topics: Fading, Support vector machine, Raman spectroscopy, Band gap, Thin film
Papers published on a yearly basis
Papers
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TL;DR: This novel approach helps in understanding cancer at the fundamental level and provides a clue to develop promising and nascent concept of single drug therapy for multiple diseases as well as personalized medicine.
Abstract: Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer analysis provides a comprehensive approach to analyze the proteomic data of seven different cancers, namely, breast, oral, ovarian, cervical, lung, colon and prostate. Our analysis demonstrates that the protein-protein interaction networks of the normal and the cancerous tissues associated with the seven cancers have overall similar structural and spectral properties. However, few of these properties implicate unsystematic changes from the normal to the disease networks depicting difference in the interactions and highlighting changes in the complexity of different cancers. Importantly, analysis of common proteins of all the cancer networks reveals few proteins namely the sensors, which not only occupy significant position in all the layers but also have direct involvement in causing cancer. The prediction and analysis of miRNAs targeting these sensor proteins hint towards the possible role of these proteins in tumorigenesis. This novel approach helps in understanding cancer at the fundamental level and provides a clue to develop promising and nascent concept of single drug therapy for multiple diseases as well as personalized medicine.
39 citations
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TL;DR: A facile and novel bio-synthesis technique, using algal extract to reduce silver metal ions into Ag/AgCl nanoparticles, is reported.
Abstract: Here we report a facile and novel bio-synthesis technique, using algal extract to reduce silver metal ions into Ag/AgCl nanoparticles. Different concentrations of metallic precursors of silver nitrate (0.1 mM, 0.2 mM, 0.5 mM and 1 mM) were tested with alcoholic extract prepared from biomass of Chlorella sp. for nanoparticle biosynthesis which was screened out of four species namely Chlorella sp., Lyngbya putealis, Oocystis sp. and Scenedesmus vacuolatus. The biomolecules present in the alcoholic extract assisted in the synthesis of nanoparticles by reducing the metallic salt to metal ions and acting as capping agents in order to stabilize the particles. The synthesized particles were characterized for physico-chemical properties. DLS analysis of particles prepared from Chlorella sp. shows the particles with size of 90.6 nm. These biosynthesized nanoparticles show great potential applications in antibacterial activity.
39 citations
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TL;DR: A deep neural network termed as stacked random vector functional link (RVFL) based autoencoder (SRVFL-AE) is proposed to detect the multiclass brain abnormalities and the rectified linear unit (ReLU) activation function is incorporated in the proposed deep network to provide fast and better hidden representation of input features.
38 citations
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01 Jan 2022TL;DR: In this paper, the authors discuss the importance of techno-economic assessment in the overall context of systems analysis, and the steps and tools to perform the analysis are discussed, including real options analysis.
Abstract: This chapter discuss the importance of techno-economic assessment in the overall context of systems analysis. The steps and tools to perform the analysis are discussed. Some of the recent developments in the field including real options analysis are discussed. An example of the approaches is presented.
38 citations
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TL;DR: A closed-form expression for the moment generating function (MGF) of the total signal-to-noise ratio at the destination is derived in terms of the tabulated Meijer’s G-function to analyze the average symbol error rate (ASER) and outage probability over independent and identical distributed Weibull fading channels for multiple relays.
Abstract: We analyze and study the performance of amplify-and-forward cooperative diversity communication network with best-relay selection over Weibull fading channel. In this paper, a closed-form expression for the moment generating function (MGF) of the total signal-to-noise ratio at the destination is derived in terms of the tabulated Meijer's G-function. By the help of this derived MGF expression, we analyze the average symbol error rate (ASER) and outage probability over independent and identical distributed Weibull fading channels for multiple relays. The numerical values of ASER and outage probability expressions are compared with Monte-Carlo simulation result to verify the accuracy of the derivation.
38 citations
Authors
Showing all 1738 results
Name | H-index | Papers | Citations |
---|---|---|---|
Raghunath Sahoo | 106 | 556 | 37588 |
Biswajeet Pradhan | 98 | 735 | 32900 |
A. Kumar | 96 | 505 | 33973 |
Franco Meddi | 84 | 476 | 24084 |
Manish Sharma | 82 | 1407 | 33361 |
Anindya Roy | 59 | 301 | 14306 |
Krishna R. Reddy | 58 | 400 | 11076 |
Sudipan De | 54 | 99 | 10774 |
Sudip Chakraborty | 51 | 343 | 9319 |
Shaikh M. Mobin | 51 | 515 | 11467 |
Ashok Kumar | 50 | 405 | 10001 |
Ankhi Roy | 49 | 259 | 8634 |
Aditya Nath Mishra | 49 | 139 | 7607 |
Ram Bilas Pachori | 48 | 182 | 8140 |
Pragati Sahoo | 47 | 133 | 6535 |