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Institution

Thapar University

EducationPatiāla, Punjab, India
About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper carries out a comprehensive review of dehazing techniques to show that these could be effectively applied in real-life practice and encourages the researchers to use these techniques for removal of haze from hazy images.
Abstract: The visibility of outdoor images is greatly degraded due to the presence of fog, haze, smog etc The poor visibility may cause the failure of computer vision applications such as intelligent transportation systems, surveillance systems, object tracking systems, etc To resolve this problem, many image dehazing techniques have been developed These techniques play an important role in improving performance of various computer vision applications Due to this, the researchers are attracted toward the dehazing techniques This paper carries out a comprehensive review of dehazing techniques to show that these could be effectively applied in real-life practice On the other hand, it encourages the researchers to use these techniques for removal of haze from hazy images The seven main classes of dehazing technique, such as depth estimation, wavelet, enhancement, filtering, supervised learning, fusion, meta-heuristic techniques and variational model are addressed In addition, this paper focuses on mathematical models of dehazing techniques along with their implementation aspects Finally, some considerations about challenges and future scope in dehazing techniques are discussed

74 citations

Journal ArticleDOI
TL;DR: Micropropagation protocol for an elite selection of Aloe vera syn A. barbadensis through enhanced axillary branching was standardized and the plants were successfully transferred in the soil and were morphologically similar to mother plants.
Abstract: Micropropagation protocol for an elite selection of Aloe vera syn A. barbadensis through enhanced axillary branching was standardized. Murashige and Skoog medium containing 1 mg l−1 BA and 0.2 mg l-1 IBA gave highest multiplication. Citric acid at 10mg l-1 and liquid medium improved the shoot multiplication. Hundred per cent microshoots produced rooted plantlets within 15 days of culture on hormone-free agar medium. Liquid medium during rooting stage decreased the number of shoots showing rooting response. The plants were successfully transferred in the soil and were morphologically similar to mother plants.

74 citations

Journal ArticleDOI
TL;DR: In this article, splat quenching technique was used to investigate the effect of M 2 O 3 on their bioactivity, structural and optical properties, and the results showed that the change in composition affects the crosslink formation in the glass matrix and finally its durability and bioactivity in SBF.

74 citations

Journal ArticleDOI
Harish Garg1, Nancy1
TL;DR: The objective of this manuscript is to present some new operational laws called as logarithm operational laws with real number base λ for the single-valued neutrosophic (SVN) numbers and to present a multiattribute decision making method to solve the decision-making problems.

74 citations

Journal ArticleDOI
TL;DR: In this article, a collision detection scheme at the first step of random access (RA) procedure for satellite-based IoT was proposed, which leveraged a single root Zadoff-Chu (ZC) sequence with an elaborate set of cyclic shift offsets to generate all the available preamble sequences.
Abstract: As a complementary solution for seamless and ubiquitous coverage, satellite communications will play crucial roles in future global Internet of Things (IoT). Focusing on enhancing access efficiency and resource utilization of massive machine-type devices (MTDs), we propose an efficient collision detection scheme at the first step of random access (RA) procedure for satellite-based IoT. By leveraging a single root Zadoff-Chu (ZC) sequence with an elaborate set of cyclic shift offsets to generate all the available preamble sequences, the proposed scheme can achieve rapid collision detection and load estimation in one-shot correlation operation, while having the robustness to the non-orthogonal interference. The preamble detection probability, collision detection probability, and load monitoring accuracy, are mathematically analyzed, and an optimal set of preamble selection probabilities is given to maximize the overall load monitoring accuracy. Simulation results exhibit the remarkable performance improvement of our scheme in typical satellite line-of-sight (LOS) scenario, by compared to the state-of-the-art collision detection schemes.

73 citations


Authors

Showing all 3035 results

NameH-indexPapersCitations
Gaurav Sharma82124431482
Vinod Kumar7781526882
Neeraj Kumar7658718575
Ashish Sharma7590920460
Dinesh Kumar69133324342
Pawan Kumar6454715708
Harish Garg6131111491
Rafat Siddique5818311133
Surya Prakash Singh5573612989
Abhijit Mukherjee5537810196
Ajay Kumar5380912181
Soumen Basu452477888
Sudeep Tanwar432635402
Yosi Shacham-Diamand422876463
Rupinder Singh424587452
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022149
20211,237
20201,083
2019962
2018933