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Neural networks based smart e-health application for the prediction of tuberculosis using serverless computing
The convergence of the Internet of Things (IoT) with e-health records is creating a new era of
advancements in the diagnosis and treatment of disease, which is resha** the modern …
advancements in the diagnosis and treatment of disease, which is resha** the modern …
Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence
Airway diseases cause significant challenges while diagnosing it accurately as well as
timely. In current years, the combination of deep learning techniques with Explainable …
timely. In current years, the combination of deep learning techniques with Explainable …
Classification of Student Mental Health Analysis using Logistic Regression and other classification techniques through Machine Learning Methods
The examination of student mental health is a significant area of scholarly investigation that
seeks to comprehend and address the psychological and emotional well-being of students …
seeks to comprehend and address the psychological and emotional well-being of students …
The Evolution of Cryptocurrencies: Analysis of Bitcoin, Ethereum, Bit connect and Dogecoin in Comparison
Cryptocurrency is a novel form of digital or virtual currency that employs cryptographic
techniques to guarantee secure financial transactions, control the creation of new units, and …
techniques to guarantee secure financial transactions, control the creation of new units, and …
CNN, LSTM, and Bi-LSTM based Self-Attention Model Classification for User Review Sentiment Analysis
Sentiment analysis, often known as opinion mining, is a computational job within the field of
natural language processing (NLP) that entails the identification and classification of the …
natural language processing (NLP) that entails the identification and classification of the …