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View article: Impact of an Educational Intervention on BPPV Management: An Interrupted Time Series Analysis
Impact of an Educational Intervention on BPPV Management: An Interrupted Time Series Analysis Open
This study evaluates the impact of an educational intervention aimed at improving the management of benign paroxysmal positional vertigo (BPPV) in a clinical setting. Interrupted Time Series (ITS) analysis was used to assess changes in the…
View article: Metabolism of Terephthalic Acid by a Novel Bacterial Consortium Produces Valuable By-Products
Metabolism of Terephthalic Acid by a Novel Bacterial Consortium Produces Valuable By-Products Open
Terephthalic acid (TPA), a major monomer of polyethylene terephthalate (PET), represents a significant challenge in plastic waste management due to its persistence in the environment. In this study, we report a newly developed bacterial co…
View article: Forecasting Cancer Incidence in Canada by Age, Sex, and Region Until 2026 Using Machine Learning Techniques
Forecasting Cancer Incidence in Canada by Age, Sex, and Region Until 2026 Using Machine Learning Techniques Open
This study analyzes cancer trends in Canada using machine learning techniques to extract insights from extensive cancer data sourced from the Canadian Cancer Society and Statistics Canada. It aims to enhance the understanding of cancer epi…
View article: Early Risk Prediction in Acute Aortic Syndrome on Clinical Data Using Machine Learning
Early Risk Prediction in Acute Aortic Syndrome on Clinical Data Using Machine Learning Open
This study explores machine learning’s potential for early Acute Aortic Syndrome (AAS) prediction by integrating and cleaning extensive clinical datasets from 68 emergency departments in the USA, covering the medical histories of nearly 15…
View article: Detecting Fake Accounts on Instagram Using Machine Learning and Hybrid Optimization Algorithms
Detecting Fake Accounts on Instagram Using Machine Learning and Hybrid Optimization Algorithms Open
In this paper, we propose a hybrid method for detecting fake accounts on Instagram by using the Binary Grey Wolf Optimization (BGWO) and Particle Swarm Optimization (PSO) algorithms. By combining these two algorithms, we aim to leverage th…
View article: A Hybrid Deep BiLSTM-CNN for Hate Speech Detection in Multi-social media
A Hybrid Deep BiLSTM-CNN for Hate Speech Detection in Multi-social media Open
Nowadays, means of communication among people have changed due to advancements in information technology and the rise of online multi-social media. Many people express their feelings, ideas, and emotions on social media sites such as Insta…
View article: Prediction and Survival Analysis of Head and Neck Cancer in Patients Using Epigenomics Data and Advanced Machine Learning Methods
Prediction and Survival Analysis of Head and Neck Cancer in Patients Using Epigenomics Data and Advanced Machine Learning Methods Open
Cancer is a disease caused by abnormal cell division, causing undesirable cells to form. Normal cells respond to division signals, but cancerous cells undergo genome changes that disrupt normal cell division and death. Malignant cells can …
View article: DQN Approach for Adaptive Self-Healing of VNFs in Cloud-Native Network
DQN Approach for Adaptive Self-Healing of VNFs in Cloud-Native Network Open
The transformation from physical network function to Virtual Network Function (VNF) requires a fundamental design change in how applications and services are tested and assured in a hybrid virtual network. Once the VNFs are onboarded in a …
View article: A Hybrid Neural Network for Electroencephalogram (EEG)-based Screening of Depression
A Hybrid Neural Network for Electroencephalogram (EEG)-based Screening of Depression Open
Significances of Bioengineering & Biosciences A Hybrid Neural Network for Electroencephalogram (EEG)-based Screening of Depression Arpita Gajjar1, Kalpdrum Passi1* and Chakresh Kumar Jain2 11Department of Mathematics and Computer Science, …
View article: Crop Disease Detection Using Deep Learning Techniques on Images
Crop Disease Detection Using Deep Learning Techniques on Images Open
Agriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security…
View article: Detecting Image Forgery over Social Media Using U-NET with Grasshopper Optimization
Detecting Image Forgery over Social Media Using U-NET with Grasshopper Optimization Open
Currently, video and digital images possess extensive utility, ranging from recreational and social media purposes to verification, military operations, legal proceedings, and penalization. The enhancement mechanisms of this medium have un…
View article: #BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA
#BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA Open
The year 2020 was a challenging year known mainly as the pandemic year. However, the notable event of George Floyd's killing broke many humans' hearts and made them protest on social media and the streets as well. In this research, we stud…
View article: Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker
Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker Open
Image captioning is the multi-modal task of automatically describing a digital image based on its contents and their semantic relationship. This research area has gained increasing popularity over the past few years; however, most of the p…
View article: An Agriprecision Decision Support System for Weed Management in Pastures
An Agriprecision Decision Support System for Weed Management in Pastures Open
Pastures are a vital source of dairy products and cattle nutrition, and as such, play a significant role in New Zealand's agricultural economy. However, weeds can be a major problem for pastures, making it a challenge for dairy farmers to …
View article: Predicting liver cancer on epigenomics data using machine learning
Predicting liver cancer on epigenomics data using machine learning Open
Epigenomics is the branch of biology concerned with the phenotype modifications that do not induce any change in the cell DNA sequence. Epigenetic modifications apply changes to the properties of DNA, which ultimately prevents such DNA act…
View article: Distinguishing Fake and Real News of Twitter Data with the help of Machine Learning Techniques
Distinguishing Fake and Real News of Twitter Data with the help of Machine Learning Techniques Open
News articles have an influence on people's belief and views about various circumstances. In this
\nregard, some news publishers with political or ideological bias try to spread news which are
\ndistorted or totally wrong. This thesis inte…
View article: Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI)
Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI) Open
Explainable artificial intelligence (XAI) characteristics have flexible and multifaceted potential in hate speech detection by deep learning models. Interpreting and explaining decisions made by complex artificial intelligence (AI) models …
View article: Applications of Artificial Intelligence Based Technologies in Weed and Pest Detection
Applications of Artificial Intelligence Based Technologies in Weed and Pest Detection Open
Unprecedented population growth and climate change has burdened food security and scarcity worldwide, where the agriculture sector can significantly contribute to accomplishing the demands and contribute to the economic growth of a country…
View article: Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System
Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System Open
Network Function Virtualization (NFV) is an enabling technology that brings together automated network service management and corresponding virtualized network functions that use an NFV Infrastructure (NFVI) framework. The Virtual Network …
View article: Multi-label Emotion Classification using Machine Learning and Deep Learning Methods
Multi-label Emotion Classification using Machine Learning and Deep Learning Methods Open
View article: Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020
Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020 Open
The availability of internet services in the United States and rest of the world in general in the
\nmodern past has contributed to more traction in the social network platforms like Facebook,
\nTwitter, Instagram, YouTube, and much more. …
View article: Deep Learning-based Robot Control using Recurrent NeuralNetworks (LSTM; GRU) and Adaptive Sliding Mode Control
Deep Learning-based Robot Control using Recurrent NeuralNetworks (LSTM; GRU) and Adaptive Sliding Mode Control Open
A phenomenal increase in computational power made deep learning possible for real-time applications in recent years.Nonlinearity, external disturbances, and robustness are significant challenges in robotics.To overcome these challenges, ro…
View article: Sentiment Analysis on Twitter Data of World Cup Soccer Tournament Using Machine Learning
Sentiment Analysis on Twitter Data of World Cup Soccer Tournament Using Machine Learning Open
In the derived approach, an analysis is performed on Twitter data for World Cup soccer 2014 held in Brazil to detect the sentiment of the people throughout the world using machine learning techniques. By filtering and analyzing the data us…
View article: Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models
Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models Open
For decades, tuberculosis (TB), a potentially serious infectious lung disease, continues to be a leading cause of worldwide death. Proven to be conveniently efficient and cost-effective, chest X-ray (CXR) has become the preliminary medical…
View article: Efficacy of Non-negative Matrix Factorization for Feature Selection in Cancer Data
Efficacy of Non-negative Matrix Factorization for Feature Selection in Cancer Data Open
Over the past few years, there has been a considerable spread of microarray technology in many biological patterns, particularly in those pertaining to cancer diseases like leukemia, prostate, colon cancer, etc. The primary bottleneck that…
View article: Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization
Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization Open
Over the past few years, there has been a considerable spread of microarray\ntechnology in many biological patterns, particularly in those pertaining to\ncancer diseases like leukemia, prostate, colon cancer, etc. The primary\nbottleneck t…