A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
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

SP RM, PKR Maddikunta, M Parimala, S Koppu… - Computer …, 2020 - Elsevier
The entire computing paradigm is changed due to the technological advancements in
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

MA Almaiah, O Almomani, A Alsaaidah, S Al-Otaibi… - Electronics, 2022 - mdpi.com
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 …

[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 …

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 …

Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems.

AT Abu-Jassar, YM Al-Sharo, V Lyashenko, S Sotnik - TEM Journal, 2021 - ceeol.com
Generalized formalization of recognition algorithm for specialized computer systems is
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 …

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

BA Mohammed, EM Senan, ZG Al-Mekhlafi… - Electronics, 2022 - mdpi.com
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 …

[HTML][HTML] Spatial and temporal model for WQI prediction based on back-propagation neural network, application on EL MERK region (Algerian southeast)

S Kouadri, S Kateb, R Zegait - Journal of the Saudi Society of Agricultural …, 2021 - Elsevier
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 …

[PDF][PDF] New epistemological perspectives on quantitative methods: An example using topological data analysis

A Godwin, B Benedict, J Rohde… - Studies in …, 2021 - researchgate.net
Background: Education researchers use quantitative methodologies to examine
generalizable correlational trends or causal mechanisms in phenomena or behaviors …