Nripendra Narayan Das
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View article: A Privacy‐Preserving and Interpretable Federated Learning Framework With Clinician Feedback for Multi‐Hospital Clinical Decision Support
A Privacy‐Preserving and Interpretable Federated Learning Framework With Clinician Feedback for Multi‐Hospital Clinical Decision Support Open
Federated learning has revolutionized collaborative clinical modeling in multi‐hospital networks by enabling privacy‐preserving analysis of distributed healthcare data. However, challenges such as Data Heterogeneity across Hospitals, Priva…
View article: YOLOv11 with transformer attention for real-time monitoring of ships: A federated learning approach for maritime surveillance
YOLOv11 with transformer attention for real-time monitoring of ships: A federated learning approach for maritime surveillance Open
View article: A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic Similarity
A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic Similarity Open
The dependence on images for face detection and identity verification was at odds with broad assessment which showed that coordinating with sets of non-similar images was profoundly inclined to make mistakes.The current passport management…
View article: Utilizing Deep Convolutional Neural Networks and Non-Negative Matrix Factorization for Multi-Modal Image Fusion
Utilizing Deep Convolutional Neural Networks and Non-Negative Matrix Factorization for Multi-Modal Image Fusion Open
A key element of contemporary computer vision, image fusion tries to improve the quality and interpretability of images by combining complimentary data from several image sources or modalities. This paper offers a unique method for multi-m…
View article: A Novel Approach for Implementation of Software Requirement Specifications Using the Humpback Whale Optimization Model
A Novel Approach for Implementation of Software Requirement Specifications Using the Humpback Whale Optimization Model Open
The requirements elicitation process is the foundation of every software system, and it is focused with software requirement specification procedures. In terms of limitations and rules, constituents are the prime source of these requires. …
View article: Efficient Automated Disease Diagnosis Using Machine Learning Models
Efficient Automated Disease Diagnosis Using Machine Learning Models Open
Recently, many researchers have designed various automated diagnosis models using various supervised learning models. An early diagnosis of disease may control the death rate due to these diseases. In this paper, an efficient automated dis…
View article: Attribute Based Collusion Resistant Controlled Secure Data Processing System Using Node Insertion Method
Attribute Based Collusion Resistant Controlled Secure Data Processing System Using Node Insertion Method Open
In the fast-developing technological world, a large number of informational data is obtained out of different software applications and hardware sources. Data storing, sharing of data, and then processing is more effective through the clou…
View article: Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images
Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images Open
COVID-19 has affected the whole world drastically. A huge number of people have lost their lives due to this pandemic. Early detection of COVID-19 infection is helpful for treatment and quarantine. Therefore, many researchers have designed…
View article: Meta Search Engine using Semantic Similarity and Correlation Coefficient
Meta Search Engine using Semantic Similarity and Correlation Coefficient Open
This paper aims to provide an intelligent way to query and rank the results of a Meta Search Engine. A Meta Search Engine takes input from the user and produces results which are gathered from other search engines. The main advantage of a …
View article: Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays
Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays Open
View article: Optimization of frequency settling time of PLL using 3rd MASH Sigma Delta Modulator
Optimization of frequency settling time of PLL using 3rd MASH Sigma Delta Modulator Open
To reduce settling time of PLL, an attempt to optimize the parameters has been proposed in this paper. The transient responses of various Phase Locked Loop (PLL) frequency synthesizer have been comparied with their active and passive poles…
View article: Application of Big Data Analysis in Industry
Application of Big Data Analysis in Industry Open
In this paper we will discuss the application of Big Data, its concepts in safety from hazards occurring in industrial environment also techniques and technologies of data analytics, benefits of data analytics, brief of challenges in imple…