Sujata Swain

• Researcher at Indian Institute of Technology Roorkee

During the winter season in India, the AQI experiences a decrease due to the limited dispersion of APs caused by MFs. Therefore, we developed a sophisticated green predictive model GAP, which utilizes our designed green technique and a customized big dataset. This dataset is derived from weather research and tailored to forecast future AQI levels i...

This paper presents a novel approach to predictive Ischemic brain stroke analysis using game theory and machine learningtechniques. The study investigates the use of the Shapley value in predictive Ischemic brain stroke analysis. Initially, preferencealgorithms identify the most important features in various machine learning models, including logis...

For an extended period, a technological architecture known as cloud IoT links IoT devices to servers located in cloud data centers. Real-time data analytic are made possible by this, enabling better, data-driven decision making, optimization, and risk reduction. Since cloud systems are often located at a considerable distance from IoT devices, the...

Fog computing is a promising and challenging paradigm that enhances cloud computing by enabling efficient data processing and storage closer to data sources and users. This paper introduces a game-theoretic approach called GTRADPMFC (Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing) to address resource allocation an...

Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces Future Air Quality Prediction using Long Short-Term Memory based on Hyper Heuristic Multi-Chain Model (H <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup...

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted Web Service Classification, a critical task for service discovery, composition, and selection in various applications. Effective service classification improves security, scalability, cost-effectiveness, and other crucial parameters for servic...

Sentiment analysis discovers the emotion expressed in a text. It helps in analyzing the product reviews, customer feedback and survey responses. Researchers have developed various algorithms for this purpose, however, they have majorly focused only on the sentiment analysis in English language. Although, few works are available for Hindi and multil...

Attendance Monitoring device using RFID and node MCU

Parkinson’s disease (PD) is a neurological disorder affecting the nerve cells. PD gives rise to various neurological conditions, including gradual reduction in movement speed, tremors, limb stiffness, and alterations in walking patterns. Identifying Parkinson’s disease in its initial phases is crucial to preserving the well-being of those afflicted...

p>Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces a novel Hyper Heuristic Multi-Chain Model (H²MaM) to project future air quality, considering various meteorological factors (MFs) and pollution-related variables like atmospheric pressure, temp...

p>Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces a novel Hyper Heuristic Multi-Chain Model (H²MaM) to project future air quality, considering various meteorological factors (MFs) and pollution-related variables like atmospheric pressure, temp...

Resource allocation and pricing techniques in cloud computing is a challenging task for every researcher. Everyone try to find out a good solutions of resource allocation and pricing in a dynamic way. Every user give their demands for taking the cloud resources for a particular time period. If the request is not fulfilled within the time period the...

Fog computing is a new computing paradigm in the last few years. Fog computing situated in between cloud infrastructure and the users. Fog computing acts as a mediator/middleman between the data source and the cloud. Its main purpose is to ensure an optimized use of available resources at the edge of the network. Fog infrastructure are highly dynam...

Fog computing is a new computing paradigm in the last few years. Fog computing situated in between Cloud infrastructure and the users. Fog Computing acts as a mediator/middleman between the data source and the cloud. Its main purpose is to ensure an optimized use of available resources at the edge of the network. Fog infrastructure are highly dynam...

With the rise of the Metaverse, and its application in the medical department, proper resource allocation (example: surgical rooms, medical treatment services) becomes vital to reduce time and increase the efficiency with which medical procedures can be carried out. The Metaverse is a multi-user shared virtual space version of our current internet...

The metaverse is an upcoming computing paradigm aiming towards blending reality seamlessly with the artificially generated 3D worlds of deep cyberspace. This giant interactive mesh of three-dimensional reconstructed realms has recently received tremendous attention from both an academic and commercial point of view owing to the curiosity instilled...

In some situations, a complex user request cannot be satisfied by only sequential composition of services, rather by a combination of sequential and parallel composition of services. Typically user requests are represented as directed acyclic graphs (DAG). In this paper, the problem of service composition with functionally equivalent services in a...

In the last few decades, researchers have focused on developing smart environment applications. In a smart environment, different kinds of smart devices are continuously working to make the lives of the inhabitants more comfortable. Smart environments are dynamic with respect to the context of user and availability of devices and services. A challe...

Purpose This study aims to discuss a context-aware system, SmartMedicist, which can recommend an alternative medicine from a set of available medicines present at a patient’s home for an unavailable medicine. The system is applied to the chronic disease patients only. The system requires only a smartphone, and provides a reminder to the patient to...

Due to the proliferate use of mobile devices, the Internet is now easily accessible and such ubiquitousness helps users by offering services anytime, anywhere. Typically, a complex user request is satisfied by composing several services. In pervasive systems the set of services may change as the context changes. In this paper, we model context-awar...

Recent works in web services have employed finite state machines for solving different problems, like matchmaking of web services, modelling of web service composition and verification of web service composition. Annotated Deterministic Finite State Automata (ADFSA) is used for matchmaking of web services. ADFSA is the combination of deterministic...

Context-aware web service composition is a challenging research topic. In context aware application, a context changes over a period of time. In order to satisfy a user request, a set of services will be updated according to the context. Thus, services may be added and/or removed from the set of existing services. A context-aware application may no...