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A Novel Weighted Consensus Machine Learning Model for COVID-19 Infection Classification Using CT Scan Images
As COVID-19 has spread rapidly, detection of the COVID-19 infection from radiology and radiography images is probably one of the quickest ways to...
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Predicting compressive strength of ultra-high-performance concrete using Naive Bayes regression in novel approaches
The unique properties, quantities, and varieties of Ultra-High-Performance Concrete's (UHPC) constituent materials are intimately related to the...
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Study on Health Status Assessment Method of Injector Based on Hierarchical Weighted Permutation Entropy and Hidden Markov Model
For the features information of common rail injectors degradation process always weak or submerged by strong noise, which leads to the problem of low...
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Exploring Transparency in Decisions of Artificial Neural Networks for Regression
The interpretation and explanation of machine learning models are important tasks to ensure transparency and credibility. Various methods have been...
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Locally Linear Embedding Orthogonal Projection to Latent Structure
Quality variables are measured much less frequently and usually with a significant time delay by comparison with the measurement of process...
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Comment on “Improved DV-Hop Algorithm Using Locally Weighted Linear Regression in Anisotropic Wireless Sensor Networks”
This comment points out four incorrect formulas and the correct formulas are provided.
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Analysis of Effect of Crossing Pedestrians on Traffic Characteristics at Urban Midblock Sections Using Support Vector Regression
Walking is a commonly used movement mode, and the transport mode is denoted by the term pedestrian. Walking is an unavoidable part of almost all kind...
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Development of Correlations Between SPT-CPT Data for Liquefaction Assessment Using R
This paper presents a method for selecting and processing the field data for correlation and comparison of standard penetration test—cone penetration...
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A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications
In recent times, artificial neural networks (ANNs) have become the popular choice of model for researchers while performing regression analysis...
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Variable selection and identification of high-dimensional nonparametric nonlinear systems by directional regression
The importance of discovering significant variables from a large candidate pool is now widely recognized in many fields. There exist a number of...
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Compliant Control of a Transfemoral Prosthesis Combining Predictive Learning and Primitive-Based Reference Trajectories
This paper reports the development of a novel compliant controller for a transfemoral prosthesis that combines a feed-forward prediction torque...
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Slow-Growing Trees
Random Forest’s performance can be matched by a single slow-growing tree (SGT), which uses a learning rate to tame CART’s greedy algorithm. SGT...
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Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology
We devised a new variable selection method to extract infrequent event variables (binary data) that have one or more interaction effects,...
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An exploratory analysis of regression methods for predicting faults in software systems
The use of regression methods, for instance, linear regression, decision tree regression, etc., has been used earlier to build software fault...
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Prediction of Glucose Concentration Hydrolysed from Oil Palm Trunks Using a PLSR-Based Model
Oil palm trunks are biomass and it contains starch that can be used to produce higher value-added glucose for bioethanol, lactic acid, food and...
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Facial Image Indexing Using Locally Extracted Sparse Vectors
Amidst all biological characteristics in a human, face emerged to be the most common biometric identifier used by humans due to its distinctive and...
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A novel learning method for feature evolvable streams
Recently, many researchers have focused on a novel type of data stream known as a feature evolvable stream, wherein the existing features may become...
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Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data
Fuzzy regression is a generalized regression model to represent the relationship between dependent and independent variables in a fuzzy environment....
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Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs
Routing of critical or unusual packets from source to sink nodes without packet drops is a challenging task in Wireless Sensor Networks (WSNs)....
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Modified grey wolf optimizer-based support vector regression for ship maneuvering identification with full-scale trial
This study explores a nonparametric identification scheme for a ship maneuvering mathematical model. To overcome the difficulty in setting support...
