scispace - formally typeset
Search or ask a question
Institution

Velagapudi Ramakrishna Siddhartha Engineering College

About: Velagapudi Ramakrishna Siddhartha Engineering College is a based out in . It is known for research contribution in the topics: Antenna (radio) & Fiber. The organization has 1307 authors who have published 1155 publications receiving 6163 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the cross-sectional shape, the density and tensile properties of these fibers, along with established fibers like sisal, banana, coconut and palm, are determined experimentally under similar conditions and compared.

520 citations

Journal ArticleDOI
TL;DR: In silico methods which include sequence-based approaches, structure- based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetics profile, and gene expression-based approach were developed to construction networks having all the protein-protein interactions.
Abstract: Protein-protein interaction plays key role in predicting the protein function of target protein and drug ability of molecules. The majority of genes and proteins realize resulting phenotype functions as a set of interactions. The in vitro and in vivo methods like affinity purification, Y2H (yeast 2 hybrid), TAP (tandem affinity purification), and so forth have their own limitations like cost, time, and so forth, and the resultant data sets are noisy and have more false positives to annotate the function of drug molecules. Thus, in silico methods which include sequence-based approaches, structure-based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetic profile, and gene expression-based approaches were developed. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments have also led to the construction of networks having all the protein-protein interactions using computational methods for signaling pathways and protein complex identification in specific diseases.

508 citations

Journal ArticleDOI
TL;DR: In this paper, the experiments of tensile and flexural tests were carried out on composites made by reinforcing jowar as a new natural fibre into polyester resin matrix.

364 citations

Journal ArticleDOI
TL;DR: In this article, the tensile, flexural and dielectric properties of vakka fiber composite are investigated for electrical insulation applications and it has been observed that tensile properties increase with respect to volume fraction of fiber.

296 citations

Journal ArticleDOI
TL;DR: This work has proposed a deep learning-based method Deep Belief Network (DBN) algorithm model for the intrusion detection system and produced better results in all the parameters in relation to accuracy, recall, precision, F1-score, and detection rate.
Abstract: The Internet of Things (IoT) has lately developed into an innovation for developing smart environments. Security and privacy are viewed as main problems in any technology’s dependence on the IoT model. Privacy and security issues arise due to the different possible attacks caused by intruders. Thus, there is an essential need to develop an intrusion detection system for attack and anomaly identification in the IoT system. In this work, we have proposed a deep learning-based method Deep Belief Network (DBN) algorithm model for the intrusion detection system. Regarding the attacks and anomaly detection, the CICIDS 2017 dataset is utilized for the performance analysis of the present IDS model. The proposed method produced better results in all the parameters in relation to accuracy, recall, precision, F1-score, and detection rate. The proposed method has achieved 99.37% accuracy for normal class, 97.93% for Botnet class, 97.71% for Brute Force class, 96.67% for Dos/DDoS class, 96.37% for Infiltration class, 97.71% for Ports can class and 98.37% for Web attack, and these results were compared with various classifiers as shown in the results.

138 citations


Authors

Showing all 1307 results

Network Information
Related Institutions (5)
Amrita Vishwa Vidyapeetham
11K papers, 76.1K citations

84% related

National Institute of Technology, Karnataka
7K papers, 70.3K citations

84% related

National Institute of Technology, Rourkela
10.7K papers, 150.1K citations

82% related

Motilal Nehru National Institute of Technology Allahabad
5K papers, 61.8K citations

82% related

National Institute of Technology, Durgapur
5.7K papers, 63.4K citations

81% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202231
2021279
2020182
2019101
2018136
201787