Institution
Delhi Technological University
Education•New Delhi, India•
About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.
Topics: Computer science, Control theory, Artificial neural network, Photovoltaic system, Deep learning
Papers published on a yearly basis
Papers
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TL;DR: The physical, mechanical, antimicrobial and biological properties of these silver nanoparticles coated tasar nanofibrous mat were determined in order to check its suitability for skin tissue engineering and wound dressing applications.
49 citations
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18 May 2021TL;DR: Recent advances of optical biosensing and bioimaging techniques based on three major optical properties of AuNPs: surface plasmon resonance, surface enhanced Raman scattering and luminescence are reviewed.
Abstract: Gold nanoparticles (AuNPs) are highly compelling nanomaterials for biomedical studies due to their unique optical properties. By leveraging the versatile optical properties of different gold nanostructures, the performance of biosensing and biomedical imaging can be dramatically improved in terms of their sensitivity, specificity, speed, contrast, resolution and penetration depth. Here we review recent advances of optical biosensing and bioimaging techniques based on three major optical properties of AuNPs: surface plasmon resonance, surface enhanced Raman scattering and luminescence. We summarize the fabrication methods and optical properties of different types of AuNPs, highlight the emerging applications of these AuNPs for novel optical biosensors and biomedical imaging innovations, and discuss the future trends of AuNP-based optical biosensors and bioimaging as well as the challenges of implementing these techniques in preclinical and clinical investigations.
49 citations
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01 Jan 2018TL;DR: This paper will discuss Single Scale Retinex (SSR), Multi-Scale RetineX (MSR), Improved Retinez Image Enhancement (IRIE), MSR improvement for night time Enhancement (MSSRINTE), and retinex Based Perceptual Contrast Enhancement in image using luminance adaptation (RBPCELA).
Abstract: In this paper, It focuses on few out of many Retinex based method for Image Enhancement. Retinex is basically a concept of capturing an image in such a way in which a human being perceives it after looking at an object at the place with the help of their retina (Human Eye) and cortex (Mind). On the basis of Retinex theory, we can say an image as a product of illumination and reflectance from the object. Retinex focuses on dynamic range and color constancy of an image. There are various methods proposed by various researchers till date which use Retinex for image contrast enhancement. In this paper, we will discuss Single Scale Retinex (SSR), Multi-Scale Retinex (MSR), Improved Retinex Image Enhancement (IRIE), MSR improvement for night time Enhancement (MSRINTE) and Retinex Based Perceptual Contrast Enhancement in image using luminance adaptation (RBPCELA).
49 citations
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TL;DR: Investigation of analog/RF performance and small signal behavior of Transparent Gate Recessed Channel (TGRC) MOSFET in terms of transconductance, DIBL, channel resistance parasitic capacitances, cut-off frequency and maximum oscillator frequency shows improvement, reflecting its significance in high-frequency THz range applications.
49 citations
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TL;DR: Experimental results depict that the proposed binary version of whale optimization algorithm outperforms others in respect of benchmark test functions and is superior to other algorithms in terms of lower production cost.
Abstract: Whale optimization algorithm is a novel metaheuristic algorithm that imitates the social behavior of humpback whales. In this algorithm, the bubble-net hunting strategy of humpback whales is exploited. However, this algorithm, in its present form, is appropriate for continuous problems. To make it applicable to discrete problems, a binary version of this algorithm is being proposed in this paper. In the proposed approach, the solutions are binarized and sigmoidal transfer function is utilized to update the position of whales. The performance of the proposed algorithm is evaluated on 29 benchmark functions. Furthermore, unpaired t test is carried out to illustrate its statistical significance. The experimental results depict that the proposed algorithm outperforms others in respect of benchmark test functions. The proposed approach is applied on electrical engineering problem, a real-life application, named as “unit commitment”. The proposed approach uses the priority list to handle spinning reserve constraints and search mechanism to handle minimum up/down time constraints. It is tested on standard IEEE systems consisting of 4, 10, 20, 40, 80, and 100 units and on IEEE 118-bus system and Taiwan 38-bus system as well. Experimental results reveal that the proposed approach is superior to other algorithms in terms of lower production cost.
49 citations
Authors
Showing all 4530 results
Name | H-index | Papers | Citations |
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Shaji Kumar | 111 | 1265 | 53237 |
Lars A. Buchhave | 105 | 408 | 46100 |
Anil Kumar | 99 | 2124 | 64825 |
Bansi D. Malhotra | 75 | 375 | 19419 |
C. P. Singh | 68 | 337 | 17448 |
Ramesh Chandra | 66 | 620 | 16293 |
Rajiv S. Mishra | 64 | 591 | 22210 |
William W. Craig | 58 | 316 | 14311 |
S.G. Deshmukh | 56 | 183 | 11566 |
Jay Singh | 51 | 301 | 8655 |
Neeraj Kumar | 50 | 207 | 7670 |
Erling Halfdan Stenby | 50 | 285 | 8500 |
Devendra Singh | 49 | 314 | 10386 |
Federico Calle-Vallejo | 46 | 113 | 11239 |
Rajesh Singh | 46 | 692 | 10339 |