Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia
The procedure to diagnose anemia is time-consuming and resource-intensive due to the
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …
VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification
Nowadays, various image editing tools are available that can be utilized for manipulating the
original images; here copy-move forgery is most common forgery. In copy-move forgery …
original images; here copy-move forgery is most common forgery. In copy-move forgery …
An intuitionistic fuzzy random vector functional link classifier
Random vector functional link (RVFL) is a widely used powerful model for solving real-life
problems in classification and regression. However, the RVFL is not able to reduce the …
problems in classification and regression. However, the RVFL is not able to reduce the …
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification
BB Hazarika, D Gupta - Computer methods and programs in biomedicine, 2022 - Elsevier
Background and objective Biomedical data classification has been a trending topic among
researchers during the last decade. Biomedical datasets may contain several features …
researchers during the last decade. Biomedical datasets may contain several features …
1-Norm random vector functional link networks for classification problems
BB Hazarika, D Gupta - Complex & Intelligent Systems, 2022 - Springer
This paper presents a novel random vector functional link (RVFL) formulation called the 1-
norm RVFL (1N RVFL) networks, for solving the binary classification problems. The solution …
norm RVFL (1N RVFL) networks, for solving the binary classification problems. The solution …
Application of regularized ELM optimized by sine algorithm in prediction of ground settlement around foundation pit
Y Han, Y Wang, C Liu, X Hu, L Du - Environmental Earth Sciences, 2022 - Springer
The construction of the engineering is often accompanied by the excavation of the
foundation pit, which will lead to the ground settlement around the foundation pit. It poses a …
foundation pit, which will lead to the ground settlement around the foundation pit. It poses a …
Analysis of randomization-based approaches for autism spectrum disorder
Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects an
individual's sensory activity, social interaction, and cognitive abilities. In the mental illnesses …
individual's sensory activity, social interaction, and cognitive abilities. In the mental illnesses …
Kernel-target alignment based fuzzy Lagrangian twin bounded support vector machine
To improve the generalization performance, we develop a new technique for handling the
impacts of outliers using Lagrangian twin bounded SVM (TBSVM) with kernel fuzzy …
impacts of outliers using Lagrangian twin bounded SVM (TBSVM) with kernel fuzzy …
Research on twin extreme learning fault diagnosis method based on multi-scale weighted permutation entropy
X Yuan, Y Fan, C Zhou, X Wang, G Zhang - Entropy, 2022 - mdpi.com
Due to the complicated engineering operation of the check valve in a high− pressure
diaphragm pump, its vibration signal tends to show non− stationary and non− linear …
diaphragm pump, its vibration signal tends to show non− stationary and non− linear …