Institution
SRM University
Education•Chennai, India•
About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.
Topics: Computer science, Population, Graphene, Photocatalysis, Chemistry
Papers published on a yearly basis
Papers
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TL;DR: In this article, the optimal level of KOH was found as a better catalyst for conversion of mahua oil to biodiesel, and Mahua biodiesel yield was found to be 88.71% with the RSM predicted results.
118 citations
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TL;DR: In this paper, the authors investigated the solidification characteristics of water-based NFPCM (nanofluid phase change material), which was prepared by dispersing copper oxide nanoparticles and a nucleating agent in the base PCM (phase change material).
118 citations
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TL;DR: This work uses best feature extraction techniques such as Histogram of oriented Gradients, wavelet transform-based features, Local Binary Pattern, Scale Invariant Feature Transform, SIFT and Zernike Moment to detect the cancerous lung nodules from the given input lung image and to classify the lung cancer and its severity.
Abstract: Lung cancer is one of the main reasons for death in the world among both men and women, with an impressive rate of about five million deadly cases per year. Computed Tomography (CT) scan can provide valuable information in the diagnosis of lung diseases. The main objective of this work is to detect the cancerous lung nodules from the given input lung image and to classify the lung cancer and its severity. To detect the location of the cancerous lung nodules, this work uses novel Deep learning methods. This work uses best feature extraction techniques such as Histogram of oriented Gradients (HoG), wavelet transform-based features, Local Binary Pattern (LBP), Scale Invariant Feature Transform (SIFT) and Zernike Moment. After extracting texture, geometric, volumetric and intensity features, Fuzzy Particle Swarm Optimization (FPSO) algorithm is applied for selecting the best feature. Finally, these features are classified using Deep learning. A novel FPSOCNN reduces computational complexity of CNN. An additional valuation is performed on another dataset coming from Arthi Scan Hospital which is a real-time data set. From the experimental results, it is shown that novel FPSOCNN performs better than other techniques.
117 citations
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TL;DR: Fault discriminating capability of wavelets in its continuous form with the application of J48 algorithm is analyzed and results are validated to find classification capability of CWT features for monoblock centrifugal pump.
117 citations
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TL;DR: The various principles that govern the art of smile designing are reviewed to provide a basic knowledge to the reader to bring out a functional stable smile.
Abstract: An organized and systematic approach is required to evaluate, diagnose and resolve esthetic problems predictably. It is of prime importance that the final result is not dependent only on the looks alone. Our ultimate goal as clinicians is to achieve pleasing composition in the smile by creating an arrangement of various esthetic elements. This article reviews the various principles that govern the art of smile designing. The literature search was done using PubMed search and Medline. This article will provide a basic knowledge to the reader to bring out a functional stable smile.
117 citations
Authors
Showing all 11094 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ramamoorthy Ramesh | 122 | 649 | 67418 |
Yoshiyuki Kawazoe | 76 | 1434 | 33019 |
Ajit Varma | 57 | 432 | 12584 |
John Kennedy | 53 | 234 | 6910 |
Nagarajan Selvamurugan | 52 | 153 | 9477 |
P. Ramasamy | 47 | 896 | 11837 |
Balakrishnan S. Ramakrishna | 47 | 191 | 6706 |
Bellie Sivakumar | 45 | 260 | 6775 |
Bernaurdshaw Neppolian | 43 | 162 | 7378 |
Muthupandian Saravanan | 41 | 132 | 4609 |
Thandavarayan Maiyalagan | 41 | 190 | 8087 |
Alagarsamy Pandikumar | 39 | 132 | 4129 |
Jatinder Singh | 39 | 146 | 6242 |
Mani Prabaharan | 36 | 68 | 7468 |
Muthuswamy Balasubramanyam | 36 | 98 | 3363 |