Sentiments Analysis on Public Land Transport Infrastructure in Davao Region using Machine Learning Algorithms: A Recent Study

A city’s land transportation infrastructure has always been critical. People are increasingly turning to social media to share their opinions on civic projects like land transit. Government agencies are having difficulty recognising concerns that arise as a result of people

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Determination of Efficient and Secured Healthcare Monitoring Based on IoT Along with Machine Learning

 A Health Monitoring System (HMS) is a cutting-edge technology that provides an alternative to standard patient and health management methods. The Internet of Things (IoT) is crucial in the healthcare sector. Various patient health parameters can be read and stored

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A Review of Multivariate Analysis and Machine Learning in Pediatric Epilepsy Research

Because of the development of the brain, paediatric epilepsy poses some unique challenges and opportunities in seizure control. In childhood epilepsy, multivariate analysis and machine learning methods are rapidly being used in seizure detection and prediction, epileptogenic lesion identification, and

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Machine Learning Aiding in the Diagnosis of Parkinson’s Disease

Parkinson’s disease (PD) is a neurological movement illness that is prevalent, progressive, and currently incurable. The diagnosis of Parkinson’s disease is difficult, especially in the differential diagnosis of parkinsonism and in the early discovery of the disease. Machine learning techniques

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Clinical Applications of Machine Learning in Stroke Care

Stroke is a leading cause of mortality and disability in the world. Machine learning (ML) technologies have been progressively used in stroke therapy in recent years. This study looked at studies that used machine learning in stroke care to give

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Predicting Developmental Degrees of Music Expression in Early Childhood by Machine Learning Classifiers with 3D Motion Captured Body Movement Data: A Recent Study

Researchers have continued to be intrigued by the interaction between a child’s developmental level of music and their musical output. Currently, one notable part will be to study such connection using a quantitative technique and to discover some predicted methodology

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Determining the Physiological Mechanisms Involved in Longer Life Span!

Ageing is without a doubt the most perplexing trait that occurs in humans. Highly specialised technologies are emerging for the entire treatment of ageing and associated disorders, revealing important insight into the underlying mechanisms and providing new hope for previously

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Study on Auto Sector Stock Price Trend Prediction by using Decision Tree

The auto sector stock price trend is influenced by a number of national and worldwide unknown elements. It takes into account both local and global influences. The influence of such a factor on the stock price trend is difficult to

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Using a Content-Based Filtering Approach, Advanced Study on Spam Detection and Spammer Behavior Analysis on Twitter

Because Twitter is one of the most widely used social media platforms, it is prone to abuse. Spamming is one of the ways that people abuse Twitter. Spam becomes a problem when a communication medium, particularly one that allows worldwide

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Decision Tree-based Machine Learning Algorithms to Classify Rice Plant Diseases: A Recent Study

One of the most vital nutrients for humans on the planet is rice. India and China are two of the most rice-dependent nations on the planet. A variety of factors influence the production of this crop, including soil, water supply,

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