A5084502652- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- COVID-19 diagnosis using AI
- Machine Learning and ELM
- Advanced Algorithms and Applications
- Advanced Clustering Algorithms Research
- Evolutionary Algorithms and Applications
- Data Stream Mining Techniques
- Data Mining Algorithms and Applications
- Artificial Intelligence in Healthcare
- IoT and Edge/Fog Computing
- Advanced Malware Detection Techniques
- Software Engineering Research
- Smart Grid Security and Resilience
- Face and Expression Recognition
- Software Reliability and Analysis Research
- Rough Sets and Fuzzy Logic
- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Optimization and Mathematical Programming
- AI in cancer detection
- Software System Performance and Reliability
- Smart Agriculture and AI
Aditya Birla (India)
2019-2024
Maharaja Sriram Chandra Bhanja Deo University
2021-2024
Veer Surendra Sai University of Technology
2014-2024
VIT-AP University
2022-2023
SRM University
2022-2023
University of Teramo
2022
Amrita Vishwa Vidyapeetham
2020-2021
Government of India
2016
Indian Statistical Institute
2014
The recent outbreak of a novel coronavirus, named COVID-19 by the World Health Organization (WHO) has pushed global economy and humanity into disaster. In their attempt to control this pandemic, governments all countries have imposed nationwide lockdown. Although lockdown may assisted in limiting spread disease, it brutally affected country, unsettling complete value-chains most important industries. impact is devastating on economy. Therefore, study reported about epidemic various...
During the last two decades, a substantial amount of research efforts has been intended for support vector machine at application various data mining tasks.Data Mining is pioneering and attractive area due to its huge areas task primitives.Support Vector Machine (SVM) playing decisive role as it provides techniques those are especially well suited obtain results in an efficient way with good level quality.In this paper, we survey SVM tasks like classification, clustering, prediction,...
Abstract An anomaly exposure system's foremost objective is to categorize the behavior of system into normal and untruthful actions. To estimate possible incidents, administrators smart cities have apply detection engines avert data from being jeopardized by errors or attacks. This article aims propose a novel deep learning‐based framework with dense random neural network approach for distinguishing classifying behaviors based on type attack in Internet Things. Machine learning algorithms...
In this paper, an advanced and optimized Light Gradient Boosting Machine (LGBM) technique is proposed to identify the intrusive activities in Internet of Things (IoT) network. The followings are major contributions: i) An LGBM model has been developed for identification malicious IoT network; ii) efficient evolutionary optimization approach adopted finding optimal set hyper-parameters projected problem. Here, a Genetic Algorithm (GA) with k-way tournament selection uniform crossover...
The applications of both Feed Forward Neural network and Multilayer perceptron are very diverse saturated. But the linear threshold unit feed forward networks causes fast learning with limited capabilities, while due to multilayering, back propagation errors exhibits slow training speed in MLP. So, a higher order can be constructed by correlating between input variables perform nonlinear mapping using single layer units for overcoming above drawbacks. In this paper, Firefly based neural has...
This 21st century is notable for experiencing so many disturbances at economic, social, cultural, and political levels in the entire world. The outbreak of novel corona virus 2019 (COVID-19) has been treated as a Public Health crisis global Concern by World Organization (WHO). Various models COVID-19 are being utilized researchers throughout world to get well-versed decisions impose significant control measures. Amid standard methods worldwide epidemic prediction, easy statistical, well...