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Nanoscale modeling of an efficient Carbon Nanotube-based RF switch using XG-Boost machine learning algorithm
Radio Frequency (RF) Nano Electro Mechanical Switches (NEMS) using Carbon Nanotube (CNTs) are preferred for electronic switching due to its high...
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A Novel Context-Aware Computing Framework with the Internet of Things and Prediction of Sensor Rank Using Random Neural XG-Boost Algorithm
The amount of sensors being used worldwide is gradually increasing as the Internet of Things (IoT) draws closer. According to market data, sensor...
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Quora Question Pairs Using XG Boost
Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality...
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Cardiovascular Disease Prediction Using Machine Learning Techniques with HyperOpt
In recent years, heart disease has adversely affected people’s quality of life. Since the mortality rate from heart disease is still relatively high,...
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Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques
The purpose of present study is to examine how the UPV of pervious concrete changes with three parameters: compaction energy, aggregate size and...
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An Investigation into Predicting Flight Fares in India Using Machine Learning Models
The number of passengers traveling on aeroplanes in India is increasing, and so are price changes. Seasonal and special event fluctuations occur in...
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Regression Approach for Shruthi Identification from Indian Classical Instrumental Polyphonic Audio
Shruthi for Indian classical music is similar to the tonic pitch of Western music. The key difference between Shruthi and tonic pitch is that tonic...
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Prediction and Comparison of Diabetes with Logistic Regression, Naïve Bayes, Random Forest, and Support Vector Machine
Diabetes, is a major metabolic disorder, caused by abnormally elevated blood glucose or sugar concentration. Increased glucose levels can cause high...
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Screening ovarian cancer by using risk factors: machine learning assists
Background and aimOvarian cancer (OC) is a prevalent and aggressive malignancy that poses a significant public health challenge. The lack of...
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Smart Water Management: Using Machine Learning to Analyze Water Quality Index
The availability of clean water is essential for public health and various industrial processes. However, sustaining the water quality is a...
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Early Detection of Parkinson’s Disease Using Spiral Test
A long-term degenerative condition called Parkinson’s disease (PD) affects a person’s neural system and motor memory. There is no reliable and...
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A Model for Predicting Crime Risk
Efficient resource allocation and effective risk management are paramount for governments and police forces. This article presents a comprehensive...
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Influence of machine learning approaches for partial replacement of cement content through waste in construction sector
For the purpose of delivering high-quality structures, efficient project management ensures better selection of materials and methods and manpower....
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An Effective Approach for Optimizing Antenna Design Based on Machine Learning Models
The evolution of advanced processing techniques and different types of data storage systems along with different types of data availability, machine...
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Logistic Regression-Based Machine Learning Model for Mutation Classification in the Discovery of Precision Medicine
Mutating medicine takes a vital role in precision medicine. Precision medicine enables customization and personalization of healthcare technology....
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Prediction Analysis of Crop and Their Futuristic Yields Using Random Forest Regression
Agriculture has a substantial impact on the global economy. One of the main threats to agriculture in the long term is climate change and other...
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Application and evaluation of ANN and other classification algorithms for identification of clays based on mineralogical composition: a comparative study
Mineralogical identification of clay minerals is essential as clays exhibit different degrees of expansivity based on the minerals present....
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An in-process machined surface roughness classification using an ensemble learning algorithm based on extracted automated features from real-time surface images in milling process
In the realm of machining, the surface finish of the final product serves as a pivotal quality indicator, signifying the excellence of the...
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Prediction of Column Average Carbon Dioxide Emission Using Random Forest Regression
The carbon dioxide emission in the atmosphere is increasing tremendously each day. Researchers have found satellites to monitor the emission level....
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Traffic Crash Severity: Comparing the Predictive Performance of Popular Statistical and Machine Learning Models Using the Glasgow Coma Scale
Crash severity analysis and prediction is a promising field in traffic safety. Various statistical methods have been used to model the severity of...
