Institution
South Asian University
Education•New Delhi, India•
About: South Asian University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Support vector machine & Nonlinear system. The organization has 395 authors who have published 1107 publications receiving 10250 citations.
Papers published on a yearly basis
Papers
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TL;DR: The proposed swarm intelligence approach is named as Spider Monkey Optimization (SMO) algorithm and can broadly be classified as an algorithm inspired by intelligent foraging behavior of fission–fusion social structure based animals.
Abstract: Swarm intelligence is one of the most promising area for the researchers in the field of numerical optimization. Researchers have developed many algorithms by simulating the swarming behavior of various creatures like ants, honey bees, fish, birds and the findings are very motivating. In this paper, a new approach for numerical optimization is proposed by modeling the foraging behavior of spider monkeys. Spider monkeys have been categorized as fission–fusion social structure based animals. The animals which follow fission–fusion social systems, split themselves from large to smaller groups and vice-versa based on the scarcity or availability of food. The proposed swarm intelligence approach is named as Spider Monkey Optimization (SMO) algorithm and can broadly be classified as an algorithm inspired by intelligent foraging behavior of fission–fusion social structure based animals.
424 citations
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TL;DR: Various novel dosage forms like nanoparticles, liposomes that can be used efficiently for the delivery of various oligonucleotides such as siRNA and miRNA are focused on.
383 citations
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TL;DR: This paper summarizes the growth structure of Industry 4.0 during the last 5 years and provides the concise background overview of Industry 5.0 related works and various application areas.
325 citations
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Royal Prince Alfred Hospital1, University of Newcastle2, University of Technology, Sydney3, South Asian University4, Birla Institute of Technology and Science5, RMIT University6, Gyanvihar University7, Lovely Professional University8, Amity University9, Central University, India10, Saveetha University11, Ulster University12, Queensland University of Technology13, International Medical University14
TL;DR: The different siRNA nanocarrier systems for chronic respiratory diseases, for safe and effective delivery are discussed, and siRNA mediated pro‐inflammatory gene or miRNA targeting approach can be a useful approach in combating chronic respiratory inflammatory conditions.
Abstract: Lung diseases are the leading cause of mortality worldwide. The currently available therapies are not sufficient, leading to the urgent need for new therapies with sustained anti-inflammatory effects. Small/short or silencing interfering RNA (siRNA) has potential therapeutic implications through post-transcriptional downregulation of the target gene expression. siRNA is essential in gene regulation, so is more favorable over other gene therapies due to its small size, high specificity, potency, and no or low immune response. In chronic respiratory diseases, local and targeted delivery of siRNA is achieved via inhalation. The effectual delivery can be attained by the generation of aerosols via inhalers and nebulizers, which overcomes anatomical barriers, alveolar macrophage clearance and mucociliary clearance. In this review, we discuss the different siRNA nanocarrier systems for chronic respiratory diseases, for safe and effective delivery. siRNA mediated pro-inflammatory gene or miRNA targeting approach can be a useful approach in combating chronic respiratory inflammatory conditions and thus providing sustained drug delivery, reduced therapeutic dose, and improved patient compliance. This review will be of high relevance to the formulation, biological and translational scientists working in the area of respiratory diseases.
283 citations
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22 Mar 2013TL;DR: An aspect oriented scheme that analyses the textual reviews of a movie and assign it a sentiment label on each aspect and produces a more accurate and focused sentiment profile than the simple document-level sentiment analysis.
Abstract: This paper presents our experimental work on a new kind of domain specific feature-based heuristic for aspect-level sentiment analysis of movie reviews. We have devised an aspect oriented scheme that analyses the textual reviews of a movie and assign it a sentiment label on each aspect. The scores on each aspect from multiple reviews are then aggregated and a net sentiment profile of the movie is generated on all parameters. We have used a SentiWordNet based scheme with two different linguistic feature selections comprising of adjectives, adverbs and verbs and n-gram feature extraction. We have also used our SentiWordNet scheme to compute the document-level sentiment for each movie reviewed and compared the results with results obtained using Alchemy API. The sentiment profile of a movie is also compared with the document-level sentiment result. The results obtained show that our scheme produces a more accurate and focused sentiment profile than the simple document-level sentiment analysis.
187 citations
Authors
Showing all 412 results
Name | H-index | Papers | Citations |
---|---|---|---|
Abhishek Rathore | 38 | 168 | 4304 |
Ashwin Srinivasan | 31 | 138 | 3821 |
Dil Bahadur Rahut | 28 | 131 | 2273 |
Vivek Singh | 26 | 353 | 4235 |
Jagdish Chand Bansal | 25 | 108 | 2616 |
R. K. Mohanty | 25 | 199 | 2351 |
Harish Sharma | 24 | 139 | 1963 |
Rajiv K. Saxena | 23 | 107 | 1650 |
Sanjay Chaturvedi | 22 | 109 | 1543 |
Ravi Shankar Akundi | 22 | 31 | 1256 |
Ekta Walia | 21 | 58 | 1851 |
Kapil K. Sharma | 19 | 60 | 1113 |
Muhammad Abulaish | 19 | 107 | 1255 |
Tanesh Kumar | 18 | 73 | 1139 |
Pranab K. Muhuri | 18 | 107 | 1278 |