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Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning
ObjectiveThis study explored the use of electroencephalogram (EEG) and eye gaze features, experience-related features, and machine learning to...
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Crime Rate Prediction Using Machine Learning Techniques
Crime is a pervasive and concerning issue in modern society, with a multitude of crimes being committed on a daily basis, causing great unrest among...
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Leveraging machine learning techniques and GPS measurements for precise TEC rate predictions
This study explores machine learning models to gain insights into dynamics of ionospheric irregularities over geodetic receivers in Mbarara (0.60° S,...
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Griffiths’ Variable Learning Rate Online Sequential Learning Algorithm for Feed-Forward Neural Networks
AbstractFor online sequential training of deep neural networks, where the training data set is chaotic in nature, it becomes quite challenging for...
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Active learning applied to automated physical systems increases the rate of discovery
Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers...
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An efficient multicast multi-rate reinforcement learning based opportunistic routing algorithm
Multicasting through device-to-device communication (MD2D) is a promising solution for handling the heavy load caused by the extraordinary high...
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Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy
Radiomics and machine learning have been extensively utilized in the realm of urinary stones, particularly in forecasting stone treatment outcomes....
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Using machine learning to estimate the incidence rate of intimate partner violence
It is difficult to accurately estimate the incidence rate of intimate partner violence (IPV) using traditional social survey methods because IPV...
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AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization
Various works have been published around the optimization of Neural Networks that emphasize the significance of the learning rate. In this study we...
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Learning Rate Scheduler for Multi-criterion Movie Recommender System
The future generation of recommender systems in expanding recommendation techniques by including multi-criteria ratings is a crucial concern due to...
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Improving Colonoscopy Polyp Detection Rate Using Semi-Supervised Learning
Colorectal cancer is one of the biggest health threats to humans and takes thousands of lives every year. Colonoscopy is the gold standard in...
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Prediction of burn rate of ammonium perchlorate–hydroxyl-terminated polybutadiene composite solid propellant using supervised regression machine learning algorithms
The objective of the paper is to explore the fields of propulsion for rockets and defence systems to meet the increasing demands for...
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Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals
Standard clinical practice to assess fetal well-being during labour utilises monitoring of the fetal heart rate (FHR) using cardiotocography....
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Shapley-based interpretation of deep learning models for wildfire spread rate prediction
BackgroundPredicting wildfire progression is vital for countering its detrimental effects. While numerous studies over the years have delved into...
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Detection of non-periodic low-rate denial of service attacks in software defined networks using machine learning
In this paper, we propose a novel approach to detect non-periodic Low-rate Denial of Service attacks in Software Defined Networks using Machine...
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Prediction model for corrosion rate of low-alloy steels under atmospheric conditions using machine learning algorithms
This work constructed a machine learning (ML) model to predict the atmospheric corrosion rate of low-alloy steels (LAS). The material properties of...
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Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderly. We aimed to use machine learning algorithms,...
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The Effect of the Establishment of Preference for Math on Rate of Learning for Pre-Kindergarten Students
Conditioned reinforcement for math, or math enjoyment, may be critical for students. If so, this should be established as early as pre-kindergarten,...
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Reinforcement learning-based rate adaptation in dynamic video streaming
Video streaming stands out as the most significant traffic type consumed by mobile devices. This increased demand has been a major driver for...
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A novel method based on deep learning algorithms for material deformation rate detection
Given the significant influence of microstructural characteristics on a material’s mechanical, physical, and chemical properties, this study posits...
