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Oriented transformer for infectious disease case prediction
Accurate prediction of infectious disease cases plays a crucial role in achieving effective infection prevention and control. However, the inherent...
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Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in the timely detection of any infectious disease (IDs) and is...
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A Novel Approach for Controlling the Spread of Viral Diseases Using Epidemic Role Index (ERI) and Graph-Theoretic Contract Tracing Model
The global outbreak of viral diseases, such as COVID-19, has highlighted the urgent need for effective contact-tracing strategies to control and...
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Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning
The introduction of the Attention mechanism by the Internet of Things—or WSN-IoT—in the sector has greatly enhanced the intrusion detection mechanism...
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A Secure Contact Tracing Method Using Smart Contracts with Considering Privacy
Contact tracing, which uses smartphones to track the behavioral history of device owners, is used for infection control and crime control. On the...
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An effective deep learning pipeline for improved question classification into bloom’s taxonomy’s domains
Examination assessments undertaken by educational institutions are pivotal since it is one of the fundamental steps to determining students’...
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Optimizing Intrusion Detection Systems Placement Against Network Virus Spreading Using a Partially Observable Stochastic Minimum-Threat Path Game
Intrusion Detection Systems (IDS) are security tools that aim to detect tentative of virus propagation between two interconnected devices. As the...
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Disparity in the Evolving COVID-19 Collaboration Network
COVID-19 pandemic has paused many ongoing research projects and unified researchers’ attention to focus on COVID-19 related issues. Our project...
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Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches
The infectious disease Covid-19 has been causing severe social, economic, and human suffering across the globe since 2019. The countries have...
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Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
Antimicrobial resistance (AMR) is a serious threat to global public health, necessitating rapid and precise diagnostic tools. The prevalence of novel...
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Viral Sequences Data Management Resources
The outbreak of the COVID-19 disease has presented novel challenges to the research community, which is rushing towards the delivery of results,...
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Investigating novel antifungal strategies through molecular docking & dynamics simulations of oxidative stress response in Candida albicans
Candida albicans , a common fungus in the human mycobiota, can cause infections ranging from mild superficial to severe systemic candidiasis, leading...
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Patient Portal for Critical Response During Pandemic: A Case Study of COVID-19 in Taiwan
Traditionally in Asian countries, infectious diseases are usually monitored and controlled by government health departments. Meanwhile, individuals...
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A machine learning regression model for the screening and design of potential SARS-CoV-2 protease inhibitors
The widespread infection caused by the 2019 novel corona virus (SARS-CoV-2) has initiated global efforts to search for antiviral agents. Drug...
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DISCOVID: discovering patterns of COVID-19 infection from recovered patients: a case study in Saudi Arabia
A respiratory syndrome COVID-19 pandemic has become a serious global concern. Still, a large number of people have been daily infected worldwide....
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Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion
Retrieving relevant information covering different aspects of user information needs and ranking them based on their diverse nature are some of the...
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LSTM-CNN Deep Learning–Based Hybrid System for Real-Time COVID-19 Data Analysis and Prediction Using Twitter Data
During the last 12 months, the world is facing one of its rarest challenge caused by coronavirus diseases which is popularly known as COVID-19. The...
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Understanding Regional Characteristics Through EC Data Analysis
The COVID-19 pandemic, which began in 2020, has changed people’s lives, and people are shop** more online. While the analysis of online shop** is...
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An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19
Microblogging site Twitter is one of the most crucial tool for expressing and sharing the opinions and views of everyday life events. Many...
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Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals
The purpose of the research is to identify actionable audit hypotheses, i.e., potential abnormality with respect to drugs prescribed, procedures...
