Comparative analysis and implementation of a transformative business and supply chain model for the FMCG sector in Africa and the USA
This paper conducts a comparative analysis of business and supply chain models in the
Fast Moving Consumer Goods (FMCG) sector between Africa and the USA, aiming to …
Fast Moving Consumer Goods (FMCG) sector between Africa and the USA, aiming to …
[HTML][HTML] A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures
YK Saheed, OH Abdulganiyu, TA Tchakoucht - Journal of King Saud …, 2023 - Elsevier
Abstract Critical Infrastructures (CIs) use Supervisory Control and Data Acquisition (SCADA)
systems for monitoring and remote control. Sensor networks are being integrated into all …
systems for monitoring and remote control. Sensor networks are being integrated into all …
Machine Learning Models and Applications for Early Detection
O Zapata-Cortes, MD Arango-Serna… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
From the various perspectives of machine learning (ML) and the multiple models used in this
discipline, there is an approach aimed at training models for the early detection (ED) of …
discipline, there is an approach aimed at training models for the early detection (ED) of …
The influence of social media marketing on consumer behavior in the retail industry: A comprehensive review
The pervasive impact of social media marketing on consumer behavior within the retail
industry serves as the focal point of this comprehensive review. This paper aims to dissect …
industry serves as the focal point of this comprehensive review. This paper aims to dissect …
Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System
This research introduces innovative approaches to enhance intrusion detection systems
(IDSs) by addressing critical challenges in existing methods. Various machine-learning …
(IDSs) by addressing critical challenges in existing methods. Various machine-learning …
Estimating financial fraud through transaction-level features and machine learning
In today's world, financial institutions (FIs) play a pivotal role in any country's economic
growth and are vital for intermediation between the providers of investable funds, such as …
growth and are vital for intermediation between the providers of investable funds, such as …
A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network
YK Saheed, AA Usman, FD Sukat… - Frontiers in Computer …, 2023 - frontiersin.org
The Internet of Things (IoT) represents a paradigm shift in which the Internet is connected to
real objects in a range of areas, including home automation, industrial processes, human …
real objects in a range of areas, including home automation, industrial processes, human …
[PDF][PDF] Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: A two-level ensemble approach
Modern financial markets produce massive datasets that need to be analysed using new
modelling techniques like those from (deep) Machine Learning and Artificial Intelligence …
modelling techniques like those from (deep) Machine Learning and Artificial Intelligence …
Autoencoder via DCNN and LSTM models for intrusion detection in industrial control systems of critical infrastructures
Industrial Control Systems (ICS) are widely used to carry out the fundamental functions of a
society and are frequently employed in Critical Infrastructures (CIs). Consequently …
society and are frequently employed in Critical Infrastructures (CIs). Consequently …
ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in …
The cyber-physical system (CPS) plays a crucial role in supporting critical infrastructure like
water treatment facilities, gas stations, air conditioning components, and smart grids, which …
water treatment facilities, gas stations, air conditioning components, and smart grids, which …