Anemia, a condition affecting human red blood cells (RBCs), presents in various forms. Different blood cell types and anemia variants exist. Addressing such a significant challenge requires integrating pathophysiology...
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The concept of making everything easily and widely accessible has revolutionized the network industry. Even with the rapid advancements in networks and information technology, we still have difficulty guarding against...
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The most advanced methods available today are convolutional neural networks (CNNs), which are frequently used for image categorization tasks. This article uses sophisticated neural network models to explore the catego...
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In response to the global COronaVIrus Disease of 2019 (COVID-19) pandemic, widespread vaccination campaigns were initiated worldwide. To minimise Adverse Drug Reactions (ADRs) linked to the vaccines, extensive pre-cli...
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In response to the global COronaVIrus Disease of 2019 (COVID-19) pandemic, widespread vaccination campaigns were initiated worldwide. To minimise Adverse Drug Reactions (ADRs) linked to the vaccines, extensive pre-clinical trials and post-marketing surveillance activities were undertaken in a traditional setting. However, there has been a limited exploration of social media data for this purpose. As social media data is composed of real-time user experiences on vaccines, its analysis is pivotal for understanding vaccine safety. This work proposes a framework named Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis (DARCVAA). It employs four Deep Neural Networks (DNN) based classification models to detect ADRs of COVID-19 vaccines from Reddit’s posts. Further, it uses the Apriori algorithm to extract associations between vaccines and ADRs to comprehensively understand their relationships. The statistical significance of the extracted associations has been evaluated in terms of support and confidence. The proposed framework has been applied to a dataset collected from Reddit’s platform from September 2020 to July 2021 and annotated with the help of a medical expert. The experimental results showed that the proposed framework has outperformed six state-of-the-art detection models, which include Bidirectional Encoder Representations from Transformers (BERT), Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT), Vaccine Adverse Events-Mine (VAEM-Mine), Vaccine Adverse Events (VAE), Support Vector Machines (SVM) and Naıve Bayes (NB) in respect to precision, recall, F1-score and accuracy. The identified ADRs have been validated from the official surveillance reports, and the validation results have proven the efficacy of the proposed framework toward ADR detection and capturing possibly emerging ADRs. The analysis of detected ADRs in terms of frequent ADRs, ADRs unique to vaccines and genders and associations o
The proposed protocol offers privacy-preserving authentication across several cloud platforms, flexible key management for consumer data protection, and effective user revocation. Performance evaluation demonstrates t...
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Detecting AI-generated text in the field of academia is becoming very prominent. This paper presents a solution for Task 2: AI vs. Human - Academic Essay Authenticity Challenge in the COLING 2025 DAIGenC Workshop1. Th...
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The blockchain technology offers a secure channel for communicating between entities without the role of any third party. It is a digital ledger of transactions in a computer network that makes it hard for hackers to ...
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A significant number of people lose their lives to multiple sclerosis each year, and many of these victims come from rural areas. However, the technology for early sclerosis diagnosis is not as effective as anticipate...
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Optical phased arrays (OPAs) serve as pivotal components for non-mechanical beam steering and find relevance in various applications. However, they necessitate correction of optical phase errors within the antenna arr...
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Now a days smart city is not an option or choice. It has embedded with our daily life. The concept of Smart Cities is evolving globally. Smart cities have evolved into a new model as an outcome of the Internet of Thin...
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