Brij B. Gupta
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View article: AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0
AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0 Open
In the Healthcare 5.0 environment, the IoT devices are used for collecting the users statics. Hence, IoT devices can be used for the early detection and staging of diabetes. However, due to the complex interrelationship among the healthcar…
View article: Data-Driven Transformation of Business Models in the Digital Economy Through Metaverse Integration
Data-Driven Transformation of Business Models in the Digital Economy Through Metaverse Integration Open
This article explores digital business models in the Metaverse, a virtual space revolutionizing traditional models. It examines the Metaverse's immersive nature, its potential to disrupt businesses, and the importance of data-driven value …
View article: Enhancing IIoT security through blockchain-enabled workload analysis in fog computing environments
Enhancing IIoT security through blockchain-enabled workload analysis in fog computing environments Open
Robots and software are utilized in industrial automation to run machinery and processes in a variety of sectors. Numerous applications incorporate machine learning, the Internet of Things (IoT), and other methods to offer clever features …
View article: A 10T SRAM-Based PUF Enhanced by In-Memory Computing for Secure Authentication
A 10T SRAM-Based PUF Enhanced by In-Memory Computing for Secure Authentication Open
View article: Mathematical Modeling and Control of Drone Swarm Coordination Using PD Approach
Mathematical Modeling and Control of Drone Swarm Coordination Using PD Approach Open
This research paper introduces a mathematical model and control framework for coordinating multiple drones (a swarm) using a Proportional–Derivative (PD) control approach grounded in graph theory. Each drone functions as an independent age…
View article: A Convolutional Neural Network-Based Deep Support Vector Machine for Parkinson’s Disease Detection with Small-Scale and Imbalanced Datasets
A Convolutional Neural Network-Based Deep Support Vector Machine for Parkinson’s Disease Detection with Small-Scale and Imbalanced Datasets Open
View article: CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy
CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy Open
CryoEMNet introduces a symmetry-aware deep learning framework for molecular reconstruction in cryo-electron microscopy (cryo-EM), achieving high-resolution and structurally consistent 3D reconstructions. By incorporating molecular symmetry…
View article: Fault classification in the architecture of virtual machine using deep learning
Fault classification in the architecture of virtual machine using deep learning Open
View article: How PCA helps multi-criteria decision making for feature selection: A feature fusion approach in bioinformatics and gene expression data
How PCA helps multi-criteria decision making for feature selection: A feature fusion approach in bioinformatics and gene expression data Open
In high-dimensional data analysis, unsupervised feature selection plays a crucial role in enhancing model interpretability and reducing computational cost. While Principal Component Analysis (PCA) and Multi-Criteria Decision-Making (MCDM) …
View article: Schweizer-Sklar power aggregation operators and EDAS model for circular interval-valued (p, q)-rung orthopair fuzzy sets & its application to green supply chain management
Schweizer-Sklar power aggregation operators and EDAS model for circular interval-valued (p, q)-rung orthopair fuzzy sets & its application to green supply chain management Open
Lifecycle Assessment is an automatic and systematic technique used to address or ensure the ecological or green impacts linked with many of the phases of a product's life from raw substantial removal to recycling or disposal. In green supp…
View article: Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization
Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization Open
View article: Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion
Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion Open
View article: A Hybrid Deep Learning Framework for Intrusion Detection in Database Systems Using Brown-Bear Optimization and Tunicate Swarm Algorithm
A Hybrid Deep Learning Framework for Intrusion Detection in Database Systems Using Brown-Bear Optimization and Tunicate Swarm Algorithm Open
Protection of networks from changing cyberthreats depends critically on intrusion detection. This article presents a hybrid deep learning framework using a tunicate swarm algorithm and brown-bear optimization for intrusion detection. The T…
View article: Leveraging AI and Machine Learning for Enhanced Data Analytics and Visualization in Database Management With Digital Twins
Leveraging AI and Machine Learning for Enhanced Data Analytics and Visualization in Database Management With Digital Twins Open
The convergence of digital twin technology and data analytics continues in the area of smart cities focusing on the comprehensive study of data analysis and its visualization. It begins by standing a foundational framework for data analyti…
View article: Bayesian optimized CNN ensemble for efficient potato blight detection using fuzzy image enhancement
Bayesian optimized CNN ensemble for efficient potato blight detection using fuzzy image enhancement Open
View article: A novel predictive framework for green transportation and EV policy towards sustainable mobility and emission reduction
A novel predictive framework for green transportation and EV policy towards sustainable mobility and emission reduction Open
View article: AI-driven lightweight CNN model for sustainable vegetable classification in smart food systems
AI-driven lightweight CNN model for sustainable vegetable classification in smart food systems Open
View article: Optimal resource allocation and energy consumption in distributed edge-based Internet of Health Things
Optimal resource allocation and energy consumption in distributed edge-based Internet of Health Things Open
View article: Integrating Extractive Techniques and Classification Methods for Legal Document Summarization
Integrating Extractive Techniques and Classification Methods for Legal Document Summarization Open
This article introduces an innovative text summarization mechanism designed to tackle the inherent challenges of condensing lengthy and unstructured legal documents in the context of India. The authors' primary aim is to create a system pr…
View article: Advanced Web Traffic Modelling and Forecasting with a Hybrid Predictive Approach
Advanced Web Traffic Modelling and Forecasting with a Hybrid Predictive Approach Open
Web traffic analysis is crucial for optimising user experience and engagement. This research explores a hybrid approach combining traditional statistical methods, like the autoregressive integrated moving average (ARIMA) model, with advanc…
View article: Energy efficient task offloading from IoHT in delay sensitive edge networks
Energy efficient task offloading from IoHT in delay sensitive edge networks Open
View article: FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images
FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images Open
View article: AI-Powered Intrusion Detection for Secure and Efficient SDN in Network Virtualization
AI-Powered Intrusion Detection for Secure and Efficient SDN in Network Virtualization Open
Ensuring secure and efficient intrusion detection in Software-Defined Networking (SDN) within network virtualization is crucial for modern cybersecurity. In this context, this work presents an AI-powered hybrid deep learning model integrat…
View article: Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment
Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment Open
Despite the devastating effects of floods, the concept of resilience is still not fully considered in the assessment and management of flood risk. To study how resilience can lower the risk of floods and further enhance disaster response, …
View article: Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model
Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model Open
Recently, a documented increase has been observed in fake news and broadcast of such reports leads to grave danger to individual as well as societal welfare. There's a danger of political collapse and a subsequent devastating loss of publi…
View article: Leveraging dynamic embeddings and reinforcement learning with bayesian networks for ransomware resiliences
Leveraging dynamic embeddings and reinforcement learning with bayesian networks for ransomware resiliences Open
View article: Advancements in secure quantum communication and robust key distribution techniques for cybersecurity applications
Advancements in secure quantum communication and robust key distribution techniques for cybersecurity applications Open
View article: Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer
Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer Open
The rapid growth of IoT devices has heightened the risk of botnet attacks, calling for scalable and distributed detection solutions. In this context, this study proposes a distributed optimization system for IoT attack detection using CNN …
View article: Smart waste classification in IoT-enabled smart cities using VGG16 and Cat Swarm Optimized random forest
Smart waste classification in IoT-enabled smart cities using VGG16 and Cat Swarm Optimized random forest Open
Effective waste management is becoming a crucial component of sustainable urban development as smart technologies are used by smart cities more and more. Smart trash categorization systems provided by IoT may greatly enhance garbage sortin…
View article: Organizational Impact of Spatiotemporal Graph Convolution Networks for Mobile Communication Traffic Forecasting
Organizational Impact of Spatiotemporal Graph Convolution Networks for Mobile Communication Traffic Forecasting Open
Communication traffic prediction is of great guiding significance for communication planning management and improvement of communication service quality. However, due to the complex spatiotemporal correlation and uncertainty caused by the …