- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- Smart Cities and Technologies
- Data Mining Algorithms and Applications
- Advanced Malware Detection Techniques
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Service-Oriented Architecture and Web Services
- Smart Agriculture and AI
- Internet of Things and AI
- Anomaly Detection Techniques and Applications
- Computer Science and Engineering
- Mobile Ad Hoc Networks
- Smart Parking Systems Research
- Context-Aware Activity Recognition Systems
- Advanced Database Systems and Queries
- Opportunistic and Delay-Tolerant Networks
- IoT-based Smart Home Systems
- Speech and Audio Processing
- Advanced Adaptive Filtering Techniques
- Spectroscopy and Chemometric Analyses
Papua New Guinea University of Technology
2018-2025
Maharshi Dayanand University
2018-2019
CT Group Of Institutions
2017
Lovely Professional University
2016
Association for Computing Machinery
2015-2016
Royal Prince Alfred Hospital
2012
With the proliferation of information and communication technology in every walks society, including healthcare services, digitization, increased sophistication have been gaining pace, digital alternatives such as electronic record (EHR) gained prominence with patients' data volume. However, traditional EHR-based systems are plagued by loss risks, security immutability consensus over health records, gapped among constituted hospitals, inefficient clinical retrieval systems, others....
Abstract Energy conservation is a major challenge in the Internet of Things (IoT) as number resource‐constrained devices connected to network. Routing plays vital role IoT extend lifespan protocol for low‐power and lossy networks (RPL) standard routing IoT. The parent selection crucial process exchange data. In RPL, researchers have introduced single metric, composite multiobjective optimization algorithm selection. However, improper causes packet losses, congestion among network nodes,...
In recent years, the growth rate of Cloud computing technology is increasing exponentially, mainly for its extraordinary services with expanding computation power, possibility massive storage, and all other maintained quality (QoSs). The task allocation one best solutions to improve different performance parameters in cloud, but when multiple heterogeneous clouds come into picture, problem becomes more challenging. This research work proposed a resource-based algorithm. same implemented...
This paper deals with measuring the Air Quality using MQ135 sensor along Carbon Monoxide CO MQ7 sensor. Measuring is an important element for bringing awareness to take care of future generations and a healthier life. Based on this, Government India has already taken certain measures ban Single Stroke Two Engine based motorcycles which are emitting high pollution. We trying implement system IoT platforms like Thingspeak or Cayenne in order bring every individual about harm we doing our...
Abstract Big data and cloud computing technology appeared on the scene as new trends due to rapid growth of social media usage over last decade. represent immense volume complex that show more details about behaviours, activities, events occur around world. As a result, big analytics needs access diverse types resources within decreased response time produce accurate stable business experimentation could help make brilliant decisions for organizations in real-time. These developments have...
Summary Social network analysis (SNA) has attracted a lot of attention in several domains the past decades. It can be 2‐folds: one is content‐based, and another structured‐based analysis. Link prediction emerging research problems, which comes under that deals with predicting missing link, likely to appear future. In this article, supervised machine learning techniques have been implemented predict possibilities establishing links The major contribution article lies feature construction from...
Energy conservation is one of the most critical problems in Internet Things (IoT). It can be achieved several ways, which to select optimal route for data transfer. IPv6 Routing Protocol Low Power and Lossy Networks (RPL) a standardized routing protocol IoT. The RPL changes its path frequently while transmitting from source destination, due high traffic dense networks. Hence, it creates across nodes To solve this issue, we propose Delay Aware Data aggregation (EDADA-RPL) has two processes,...
In this study, we set up a scalable framework for large-scale data processing and analytics using the big framework. The popular classification methods are implemented, tuned, evaluated by intrusion datasets. objective is to select best classifier after optimizing hyper-parameters. We observed that decision tree (DT) approach outperforms compared with other in terms of accuracy, fast training time, improved average prediction rate. Therefore, it selected as base our proposed ensemble study...
Wireless sensor networks form the crux of a wide range automated applications that are gaining popularity with every passing day. The journey wireless has seen simple sensory monitoring to sensing-processing-actuation based end-to-end design and deployment highly sophisticated service-oriented use cases. This disruptive field rapid transformations gain insights assess relative merits. Demerits competing strategies, it very important know evolutionary milestones this technology undergone in...
Parkinson’s disease is found as a progressive neurodegenerative condition which affects motor circuit by the loss of up to 70% dopaminergic neurons. Thus, diagnosing early stages incidence great importance. In this article, novel chaos-based stochastic model proposed combining characteristics chaotic firefly algorithm with Kernel-based Naïve Bayes (KNB) for diagnosis at an stage. The efficiency tested on voice measurement dataset that collected from “UC Irvine Machine Learning Repository.”...
AbstractThis research work confirms the effects of Covid-19 on Higher Education Institutions in India. Analyzing consequences pandemic teaching and learning system different states India impact same tertiary education as well. The illustrative informative structured surveys library analysis are used to gather data, analyzed this research. gathered data through chi sq. measurable instrument at five percentage level significance that was bestowed within style frequency percentages. examinees...
ABSTRACT The efficient management and prediction of urban traffic flow are paramount in the age beyond 5G smart cities advanced transportation systems. Traditional methods often fail to handle nonlinear dynamic nature data, necessitating more solutions. This paper introduces NeuroSync , a novel neural network architecture designed leverage strengths spiking neuron layers gated recurrent units (GRUs) combined with temporal pattern attention mechanisms effectively forecast patterns. is...
Internet of Things (IoT) enables physical things to communicate, compute and take decisions based on any network activity. This calls for a secure solution communication among heterogeneous devices. With the development in Information Communication Technology (ICT), unique impact smart is observed our everyday life. IoT can consider users that interact environment. In environment motive each user be different form computation difficult judged. A malicious destroy security privacy network....
Energy conservation is one of the most critical challenges in Internet Things (IoT). IoT devices are incredibly resource-constrained and possess miniature power sources, small memory, limited processing ability. Clustering a popular method to avoid duplicate data transfer from participant node destination. The selection cluster head (CH) plays crucial role gathering aggregating members forwarding sink node. inefficient CH causes packet failures during early battery depletion nearer sink....
Vehicular clouds (VCs) have become a promising research area due to its on-demand solutions, resource pooling, unified services, autonomous cloud formation and transformational management. It makes use of the underutilized resources vehicles on parking lot, roadways, driveways streets, creates infrastructure support various services offered by service provider (CSP) deploying virtual machines (VMs). However, these can leave coverage/grid VC mobility change in environment. Therefore, hosted...
In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a variety of services by creating virtual machines (VMs). These VMs use the resources that are present in modern smart vehicles. Many studies reported some these hosted on vehicles overloaded, whereas others underloaded. As circumstance, energy consumption overloaded is drastically increased. On other hand, underloaded also drawing considerable underutilized situation. Therefore, minimizing both and...
Research in robotics is one of the promising areas mobile robot development, which planned to be implemented extreme dangerous conditions explored by humans. This article aims at developing and improving a prototype zoomorphic robots that are designed repeat existing biological objects nature. The authors performed detailed analysis on structure dynamics geometrical family caterpillar movement, passed practical design perform dynamic movement uneven vertical surfaces. Based obtained...