A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …
Information and Communication Technology (ICT). Due to these advancements, various …
Performance investigation of principal component analysis for intrusion detection system using different support vector machine kernels
The growing number of security threats has prompted the use of a variety of security
techniques. The most common security tools for identifying and tracking intruders across …
techniques. The most common security tools for identifying and tracking intruders across …
[HTML][HTML] A review on the use of machine learning techniques in monkeypox disease prediction
S Rampogu - Science in One Health, 2023 - Elsevier
Infectious diseases have been posing to be a global threat in the recent times and are
progressing from endemics to pandemics. The early detection and finding a better cure is …
progressing from endemics to pandemics. The early detection and finding a better cure is …
The road towards environmental sustainability: Investigating the role of information and communication technologies and green technology innovations
A Dabbous, KA Barakat - Journal of Cleaner Production, 2023 - Elsevier
Human activity is considered to be the largest contributor to global warming and
environmental deterioration. In order to limit the destruction and transition toward a more …
environmental deterioration. In order to limit the destruction and transition toward a more …
Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems.
Generalized formalization of recognition algorithm for specialized computer systems is
presented in this paper. The structure features of image recognition methods, which have to …
presented in this paper. The structure features of image recognition methods, which have to …
Blockchain-enabled: Multi-layered security federated learning platform for preserving data privacy
Z Mahmood, V Jusas - Electronics, 2022 - mdpi.com
Privacy and data security have become the new hot topic for regulators in recent years. As a
result, Federated Learning (FL)(also called collaborative learning) has emerged as a new …
result, Federated Learning (FL)(also called collaborative learning) has emerged as a new …
Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
[HTML][HTML] Spatial and temporal model for WQI prediction based on back-propagation neural network, application on EL MERK region (Algerian southeast)
For the aims of evaluate the groundwater suitability for human consumption, and modelling
the water quality index, temporally and spatially, using Artificial Neural Network. 37 samples …
the water quality index, temporally and spatially, using Artificial Neural Network. 37 samples …
[PDF][PDF] New epistemological perspectives on quantitative methods: An example using topological data analysis
Background: Education researchers use quantitative methodologies to examine
generalizable correlational trends or causal mechanisms in phenomena or behaviors …
generalizable correlational trends or causal mechanisms in phenomena or behaviors …