Automatic identification of Chagas disease vectors using data mining and deep learning techniques
Z Parsons, S Banitaan - Ecological Informatics, 2021 - Elsevier
Chagas Disease (CD) is a vector-borne infectious disease transmitted from animals to
humans and reversely. It is caused by the parasite Trypanosoma cruzi (abbr. as T. cruzi). CD …
humans and reversely. It is caused by the parasite Trypanosoma cruzi (abbr. as T. cruzi). CD …
A novel MOGA-SVM multinomial classification for organ inflammation detection
KT Chui, MD Lytras - Applied Sciences, 2019 - mdpi.com
Featured Application In this paper, a novel multi-objective genetic algorithm based support
vector machine (MOGA-SVM) has been proposed. A customized similarity kernel has been …
vector machine (MOGA-SVM) has been proposed. A customized similarity kernel has been …
Swine-vet: a web-based expert system of swine disease diagnosis
A web-based expert system of swine disease diagnosis was developed for swine farmers
and animal husbandmen. Our expert system was divided into three steps. First step was …
and animal husbandmen. Our expert system was divided into three steps. First step was …
An automated dermatological images segmentation based on a new hybrid intelligent ACO-GA algorithm and diseases identification using TSVM classifier
Dermatological diseases are the common and most extensive diseases worldwide.
Diagnosis of dermatological diseases as well as skin cancer diseases is extremely difficult …
Diagnosis of dermatological diseases as well as skin cancer diseases is extremely difficult …
Novel classifiers for intelligent disease diagnosis with multi-objective parameter evolution
In this research, intelligent classifiers for disease diagnosis are designed that use classifier
parameters, such as cost, tolerance, gamma and epsilon, with multi-objective evolutionary …
parameters, such as cost, tolerance, gamma and epsilon, with multi-objective evolutionary …
Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data
Dengue fever detection and classification have a vital role due to the recent outbreaks of
different kinds of dengue fever. Recently, the advancement in the microarray technology can …
different kinds of dengue fever. Recently, the advancement in the microarray technology can …
IoT-based diseases prediction and diagnosis system for healthcare
I Raeesi Vanani, M Amirhosseini - Internet of Things for Healthcare …, 2021 - Springer
Nowadays, developments in high-tech have led to the emergence of Internet of Things (IoT)
and Artificial Intelligence (AI) applications in the healthcare industry. IoT devices such as …
and Artificial Intelligence (AI) applications in the healthcare industry. IoT devices such as …
Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …
essential for supporting healthcare monitoring systems, particularly for monitoring …
A novel CNN-TLSTM approach for dengue disease identification and prevention using IoT-fog cloud architecture
SN Manoharan, KMVM Kumar, N Vadivelan - Neural Processing Letters, 2023 - Springer
One of the mosquito-borne pandemic viral infections is Dengue which is mostly transmitted
to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease …
to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease …
A novel generalized fuzzy intelligence-based ant lion optimization for internet of things based disease prediction and diagnosis
In the modern healthcare system, the function of the Internet of Things (IoT) and the data
mining methods with cloud computing plays an essential role in controlling a large number …
mining methods with cloud computing plays an essential role in controlling a large number …