Sourav Kumar Bhoi
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View article: Computer vision and deep transfer learning for automatic gauge reading detection
Computer vision and deep transfer learning for automatic gauge reading detection Open
This manuscript proposes an automatic reading detection system for an analogue gauge using a combination of deep learning, machine learning, and image processing. The study suggests image-processing techniques in manual analogue gauge read…
View article: ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm Open
Meta-heuristic algorithmic development has been a thrust area of research since its inception. In this paper, a novel meta-heuristic optimization algorithm, Olive Ridley Survival (ORS), is proposed which is inspired from survival challenge…
View article: Collaborative Cloud Resource Management and Task Consolidation Using JAYA Variants
Collaborative Cloud Resource Management and Task Consolidation Using JAYA Variants Open
In Cloud-based computing, job scheduling and load balancing are vital to ensure on-demand dynamic resource provisioning. However, reducing the scheduling parameters may affect datacenter performance due to the fluctuating on-demand request…
View article: Erratum to “A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease” [Healthc. Anal. 3 (2023) 100133]
Erratum to “A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease” [Healthc. Anal. 3 (2023) 100133] Open
View article: Retraction Note: Communicable disease pandemic: a simulation model based on community transmission and social distancing
Retraction Note: Communicable disease pandemic: a simulation model based on community transmission and social distancing Open
View article: Time Series-Based Edge Resource Prediction and Parallel Optimal Task Allocation in Mobile Edge Computing Environment
Time Series-Based Edge Resource Prediction and Parallel Optimal Task Allocation in Mobile Edge Computing Environment Open
The offloading of computationally intensive tasks to edge servers is indispensable in the mobile edge computing (MEC) environment. Once the tasks are offloaded, the subsequent challenges lie in buffering them and assigning them to edge vir…
View article: A Distributed Fuzzy Optimal Decision Making Strategy for Task Offloading in Edge Computing Environment
A Distributed Fuzzy Optimal Decision Making Strategy for Task Offloading in Edge Computing Environment Open
With the technological evolution of mobile devices, 5G and 6G communication and users’ demand for new generation applications viz. face recognition, image processing, augmented reality, etc., has accelerated the new computing paradigm of M…
View article: A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease
A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease Open
View article: E-Learning Course Recommender System Using Collaborative Filtering Models
E-Learning Course Recommender System Using Collaborative Filtering Models Open
e-Learning is a sought-after option for learners during pandemic situations. In e-Learning platforms, there are many courses available, and the user needs to select the best option for them. Thus, recommender systems play an important role…
View article: A Deep Intelligent Attack Detection Framework for Fog-Based IoT Systems
A Deep Intelligent Attack Detection Framework for Fog-Based IoT Systems Open
Fog computing provides a multitude of end-based IoT system services. End IoT devices exchange information with fog nodes and the cloud to handle client undertakings. During the process of data collection between the layer of fog and the cl…
View article: Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification Open
As a huge number of satellites revolve around the earth, a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis. Therefore, classifying satellite …
View article: EMCS: An Energy-Efficient Makespan Cost-Aware Scheduling Algorithm Using Evolutionary Learning Approach for Cloud-Fog-Based IoT Applications
EMCS: An Energy-Efficient Makespan Cost-Aware Scheduling Algorithm Using Evolutionary Learning Approach for Cloud-Fog-Based IoT Applications Open
The tremendous expansion of the Internet of Things (IoTs) has generated an enormous volume of near and remote sensing data, which is increasing with the emergence of new solutions for sustainable environments. Cloud computing is typically …
View article: A Cloud Based Machine Intelligent Human Activity Recognition System Using Internet of Things to Support Elderly Healthcare
A Cloud Based Machine Intelligent Human Activity Recognition System Using Internet of Things to Support Elderly Healthcare Open
Purpose: Human activity recognition is now a major concern in elderly healthcare perspective. Regular monitoring of daily activities is strongly needed for the elderly or old age persons at home. Therefore, the Internet of Things (IoTs) ca…
View article: A Cloud Based Machine Intelligent Human Activity Recognition System Using Internet of Things to Support Elderly Healthcare
A Cloud Based Machine Intelligent Human Activity Recognition System Using Internet of Things to Support Elderly Healthcare Open
Purpose: Human activity recognition is now a major concern in elderly healthcare perspective. Regular monitoring of daily activities is strongly needed for the elderly or old age persons at home. Therefore, the Interne…
View article: A Whale Optimization Algorithm Based Resource Allocation Scheme for Cloud-Fog Based IoT Applications
A Whale Optimization Algorithm Based Resource Allocation Scheme for Cloud-Fog Based IoT Applications Open
Fog computing has been prioritized over cloud computing in terms of latency-sensitive Internet of Things (IoT) based services. We consider a limited resource-based fog system where real-time tasks with heterogeneous resource configurations…
View article: A fuzzy rule based machine intelligence model for cherry red spot disease detection of human eyes in IoMT
A fuzzy rule based machine intelligence model for cherry red spot disease detection of human eyes in IoMT Open
View article: A Cloud Based Framework for Identification of IoT Devices at Smart Home Using Supervised Machine Intelligence Model
A Cloud Based Framework for Identification of IoT Devices at Smart Home Using Supervised Machine Intelligence Model Open
Purpose: Identification of Internet of Thing (IoT) devices in smart home is the most important function for a local server/controller to administer and control the home smoothly. The IoT devices continuously send and r…
View article: A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making
A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making Open
View article: A Cloud Based Framework for Identification of IoT Devices at Smart Home Using Supervised Machine Intelligence Model
A Cloud Based Framework for Identification of IoT Devices at Smart Home Using Supervised Machine Intelligence Model Open
Purpose: Identification of Internet of Thing (IoT) devices in smart home is the most important function for a local server/controller to administer and control the home smoothly. The IoT devices continuously send and receive requests, ackn…
View article: DI-ADS: A Deep Intelligent Distributed Denial of Service Attack Detection Scheme for Fog-Based IoT Applications
DI-ADS: A Deep Intelligent Distributed Denial of Service Attack Detection Scheme for Fog-Based IoT Applications Open
Nowadays, fog computing plays a very vital role in providing many services to end-based IoT (Internet of Things) systems. The end IoT devices communicate with the middle layer fog nodes and to the above cloud layer to process the user task…
View article: A Machine Intelligent Cloud Based Framework to Monitor Driving Behavior of Vehicles Using Internet of Things
A Machine Intelligent Cloud Based Framework to Monitor Driving Behavior of Vehicles Using Internet of Things Open
Monitoring driving behavior of vehicles is a very important area of research in the field of Intelligent Transportation Systems (ITSs). As vehicles are rising tremendously on the roads of cities, it is very much essential to track the driv…
View article: A Cloud Based Machine Intelligent Framework to Identify DDoS Botnet Attack in Internet of Things
A Cloud Based Machine Intelligent Framework to Identify DDoS Botnet Attack in Internet of Things Open
First few Botnet attack is a major issue in security of Internet of Things (IoT) devices and it needs to be identified to secure the system from the attackers. In this paper, a cloud-based machine intelligent framework is proposed to ident…
View article: A Cloud Based Machine Intelligent Framework to Identify DDoS Botnet Attack in Internet of Things
A Cloud Based Machine Intelligent Framework to Identify DDoS Botnet Attack in Internet of Things Open
First few Botnet attack is a major issue in security of Internet of Things (IoT) devices and it needs to be identified to secure the system from the attackers. In this paper, a cloud-based machine intelligent framework is proposed to ident…
View article: "A Machine Intelligent Cloud Based Framework to Monitor Driving Behavior of Vehicles Using Internet of Things"
"A Machine Intelligent Cloud Based Framework to Monitor Driving Behavior of Vehicles Using Internet of Things" Open
Monitoring driving behavior of vehicles is a very important area of research in the field of Intelligent Transportation Systems (ITSs). As vehicles are rising tremendously on the roads of cities, it is very much essential to track the driv…
View article: Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models
Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models Open
Controlling noise pollution in smart cities is a big challenge nowadays due to rise in urbanization and industrialization. As population mass grows, the celebration of yearly festivals such as Dussehra in Bhubaneswar city is also getting p…
View article: Estimating the Water Quality Class of a Major Irrigation Canal in Odisha, India: A Supervised Machine Learning Approach
Estimating the Water Quality Class of a Major Irrigation Canal in Odisha, India: A Supervised Machine Learning Approach Open
Contamination of surface water by rapid industrialization, natural and anthropogenic activities is of great concern over the last few decades. Nowadays, canal water systems are no exception to this form of contamination, which results in w…
View article: Core-based Approach to Measure Pairwise Layer Similarity in Multiplex Network
Core-based Approach to Measure Pairwise Layer Similarity in Multiplex Network Open
Most of the recent works on network science are focused on investigating various interactions among a set of entities present in a system that can be represented by multiplex network. Each type of relationship is treated as a layer of mult…
View article: Rank-Label Anonymization for the Privacy-Preserving Publication of a Hypergraph Structure
Rank-Label Anonymization for the Privacy-Preserving Publication of a Hypergraph Structure Open
Social networks are often published in the form of a simple graph. The simple graph representation of a social graph shows the dyadic relationship among the social entities whereas it is unable to efficiently represent the relationship amo…
View article: IoT-EMS: An Internet of Things Based Environment Monitoring System in Volunteer Computing Environment
IoT-EMS: An Internet of Things Based Environment Monitoring System in Volunteer Computing Environment Open
Environment monitoring is an important area apart from environmental safety and pollution control. Such monitoring performed by the physical models of the atmosphere is unstable and inaccurate. Machine Learning (ML) techniques on the other…
View article: A Social Media Sentiment Analysis: Machine Intelligence Model For Worldwide Covid-19 Vaccination Using Twitter Data
A Social Media Sentiment Analysis: Machine Intelligence Model For Worldwide Covid-19 Vaccination Using Twitter Data Open
Understanding human emotions is one of the crucial aspects when we are to take action. Our emotions dictate our apparent behaviors. In simple words, what we feel inside can predict things about what we would do. This creates a huge opportu…