Machine learning-enabled internet of things (iot): Data, applications, and industry perspective
J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
Feature selection using sequential forward selection and classification applying artificial metaplasticity neural network
A Marcano-Cedeño… - IECON 2010-36th …, 2010 - ieeexplore.ieee.org
The feature selection has been widely used to reduce the data dimensionality. Data
reduction improve the classification performance, the approximation function, and pattern …
reduction improve the classification performance, the approximation function, and pattern …
Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades
The mineral industry needs fast and efficient mineral quality monitoring equipment, and a
machine vision system could be a suitable alternative to the traditional quality monitoring …
machine vision system could be a suitable alternative to the traditional quality monitoring …
Design and development of a machine vision system using artificial neural network-based algorithm for automated coal characterization
Coal is heterogeneous in nature, and thus the characterization of coal is essential before its
use for a specific purpose. Thus, the current study aims to develop a machine vision system …
use for a specific purpose. Thus, the current study aims to develop a machine vision system …
Imbalanced classification problems: systematic study, issues and best practices
This paper provides a systematic study of the issues and possible solutions to the class
imbalance problem. A set of standard classification algorithms is considered and their …
imbalance problem. A set of standard classification algorithms is considered and their …
Data-driven intervention-level prediction modeling for academic performance
Poor academic performance in final exams at primary school level in Kenya is a strong
indicator that the student will not attain the desired career in future. It is therefore important to …
indicator that the student will not attain the desired career in future. It is therefore important to …
Determining clinical patient selection guidelines for head and neck adaptive radiation therapy using random forest modelling and a novel simplification heuristic
S Weppler, H Quon, C Schinkel, J Ddamba… - Frontiers in …, 2021 - frontiersin.org
Purpose To determine which head and neck adaptive radiotherapy (ART) correction
objectives are feasible and to derive efficient ART patient selection guidelines. Methods We …
objectives are feasible and to derive efficient ART patient selection guidelines. Methods We …
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction
Cauliflower cultivation is subject to high-quality control criteria during sales, which
underlines the importance of accurate harvest timing. Using time series data for plant …
underlines the importance of accurate harvest timing. Using time series data for plant …
Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls
While an increased impact of cues on decision‐making has been associated with substance
dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related …
dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related …
Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls
In addiction, there are few human studies on the neural basis of cue‐induced changes in
value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially …
value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially …