[PDF][PDF] Towards Robust IDSs: An Integrated Approach of Hybrid Feature Selection and Machine Learning

M Al-Omari, QA Al-Haija - Journal of Internet Services and Information …, 2024 - jisis.org
Due to the rapid growth of technology, the urgency for effective cybersecurity systems has
become increasingly critical, notably within the paradigm of the Internet of Things (IoT) and …

Forecasting Groundwater Quality Parameters using Machine Learning Models: a Case Study of Khemismiliana Plain, Algeria

A Tachi, M Metaiche, A Messoul, H Bouguerra… - Doklady Earth …, 2023 - Springer
Abstract Total Dissolved Solids, one of the most extensively used indicators for assessing
groundwater quality, it useful to estimate salinity and hardness in water. The objective of the …

[PDF][PDF] Использование алгоритма машинного обучения Random Forest для выявления сложных компьютерных инцидентов

АВ Павлычев, МИ Стародубов… - Вопросы …, 2022 - cyberrus.info
В условиях фактически объявленной России ки8 бервойны наибольшую опасность для
цифрового су8 веренитета страны представляют злоумышленники с высоким …

[HTML][HTML] Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection …

AA Imam, A Abusorrah, MMA Seedahmed… - Mathematics, 2024 - mdpi.com
The growing interest in solar energy stems from its potential to reduce greenhouse gas
emissions. Global horizontal irradiance (GHI) is a crucial determinant of the productivity of …

Artificial Cognitive Intelligence and Information Technology in Cybersecurity

TJ Singhdeo, A Singhdeo, JR Mohanty… - … Conference on Computer …, 2023 - Springer
Cognitive intelligence is intelligence exhibited by the process of acquiring knowledge and
understanding through sense and thought processes. Cognitive intelligence in cybersecurity …

[HTML][HTML] Practice-oriented authorship verification

O Halvani - 2021 - tuprints.ulb.tu-darmstadt.de
The question of the authorship of texts has occupied numerous areas both within and
beyond research for a very long time. Knowing whether a particular person is a potential …

ASF-LLRDA: Locality-regularized linear regression discriminant analysis with approximately symmetrical face preprocessing for face recognition

A Widyadhana, SC Hidayati… - 2023 Asia Pacific …, 2023 - ieeexplore.ieee.org
Face recognition is a crucial task in numerous applications, but it has difficulties because of
the high-dimensional nature of facial photos, limited sample sizes, variations in illumination …

Development of Financial Distress Prediction Model for the Watchlist Classification of Wholesale Banking Clients at ING

DT Chen - 2023 - essay.utwente.nl
An Early Warning System (EWS) is a tool that enables the monitoring of the credit portfolio to
identify clients in financial distress. ARIA is the EWS used by ING to monitor their Wholesale …

Bitcoin abnormal transaction detection based on machine learning

EV Feldman, AN Ruchay, VK Matveeva… - Recent Trends in …, 2021 - Springer
This paper is devoted to the development of a reliable abnormal bitcoin transaction
detection that may be involved in money laundering and illegal traffic of goods and services …

Assessing the Efficacy of the UV Index in Predicting Surface UV Radiation: A Comprehensive Analysis Using Statistical and Machine Learning Methods

E Ervianto, NL Marpaung, AY Raisal… - … Review of Physics, 2023 - journal2.uad.ac.id
The study investigated the relationship between the UV Index and measurements of
ultraviolet A (UVA) and ultraviolet B (UVB) radiation to evaluate the effectiveness of the UV …