Institution
Birla Institute of Technology and Science
Education•Pilāni, Rajasthan, India•
About: Birla Institute of Technology and Science is a education organization based out in Pilāni, Rajasthan, India. It is known for research contribution in the topics: Computer science & Population. The organization has 8897 authors who have published 13947 publications receiving 170008 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The proposed approach for the detection of HVDs using phonocardiogram (PCG) signals uses the Chirplet transform (CT) for the time-frequency (TF) based analysis of the PCG signal and has obtained the highest overall accuracy.
72 citations
••
TL;DR: The effectiveness of this process was confirmed by comprehensive characterization of zirconium impregnated cellulose (ZrIC) adsorbent using Fourier transform infrared spectroscopy (FT-IR), energy dispersive X-ray spectrometry (EDX) andXRD) studies.
72 citations
••
29 Mar 2019TL;DR: K-Nearest Neighbors (KNN) and grid search cross validation (CV) have been used to train and optimize the model to give the best results and the accuracy in prediction has been seen to be 80%.
Abstract: Fault detection in a machine at earlier stage can prevent severe damage and loss to the industries. Fault detection techniques are broadly classified into three categories; signature extraction-based, model-based and knowledge-based approach. Model-based techniques are efficient for raising an alarm signal if there is any fault in the machine. This paper focuses on one such model based-technique to identify the internal faults of induction machine. The model developed is deployed in the end to make it feasible to use in real time. K-Nearest Neighbors (KNN) and grid search cross validation (CV) have been used to train and optimize the model to give the best results. The advantage of proposed algorithm is the accuracy in prediction which has been seen to be 80%. Finally, a user friendly interface has been built using Flask, a python web framework.
72 citations
••
TL;DR: It is proposed that the fHAps provide a safe and a potential alternative to the current fluorescent materials in use for biolabeling and bioimaging applications and could be easily internalized in both prokaryotic and eukaryotic systems.
Abstract: Bioimaging has drastically transformed the field of medicine, and made the process of diagnosis easy and fast. Visualization of complete organ to complex biological processes has now become possible. Among the various imaging processes, fluorescence imaging using nontoxic fluorescent nanomaterials is advantageous for several beneficial features including high sensitivity, minimal invasiveness, and safe detection limit. In this study, we have synthesized and characterized a new class of nontoxic, self-activated fluorescent hydroxyapatite nanoparticles (fHAps) with different aspect ratios (thin-rods, short-rods, rods) by changing the stabilizing agents (triethyl amine and acetyl acetone) and solvents (water and dimethyl sulfoxide). fHAps showed excellent fluorescence with a broad emission spectrum ranging from 350 to 750 nm and maximum at 502 nm. The presence of fluorescence was attributed to the electronic transition in the asymmetric structure of fHAps as confirmed by ESR spectroscopy and the absence of f...
72 citations
••
TL;DR: In this article, a review of various aspects related to SOFCs like materials composition, fabrication techniques in various configurations, properties and performance; characterization tools to assess the functioning of SOFCS; corrosion-types, mechanism and mitigation methods; integration protocols of SoFC with other power generation devices are thoroughly discussed.
72 citations
Authors
Showing all 9006 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bharat Bhushan | 116 | 1276 | 62506 |
Anil Kumar | 99 | 2124 | 64825 |
Santosh Kumar | 80 | 1196 | 29391 |
Satinder Singh | 69 | 608 | 31390 |
Dinesh Kumar | 69 | 1333 | 24342 |
Prabhat Jha | 67 | 481 | 28230 |
Ramesh Chandra | 66 | 620 | 16293 |
Kimihiko Hirao | 65 | 365 | 18712 |
Vijay Varma | 65 | 152 | 26701 |
Manish Kumar | 61 | 1425 | 21762 |
B. Yegnanarayana | 54 | 340 | 12861 |
Balaram Ghosh | 53 | 321 | 11223 |
Sandeep Singh | 52 | 670 | 11566 |
Slobodan P. Simonovic | 52 | 315 | 10015 |
Dharmarajan Sriram | 51 | 458 | 11440 |