Key drivers for the incorporation of artificial intelligence in humanitarian supply chain management

K Karuppiah, J Kandasamy, L Rocha-Lona… - International Journal of …, 2025 - emerald.com
Purpose Humanitarian supply chain management (HSCM), operating in a complex
environment, needs to be agile and robust. The advent of digital technologies has …

Uniform Resource Locator Phishing in Real Time Scenario Predicted Using Novel Term Frequency-Inverse Document Frequency+ N Gram in Comparison with …

S Islavath, CR Bhat - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
To get the most accurate prediction, we will compare the two URL phishing detection
methods, TF-IDF+ N Gram and Support Vector Machine (SVM). Methodology and Chemicals …

Real-time Traffic Prediction in 5G Networks Using LSTM Networks

H Kumar, HM Al-Jawahry, M Manohar… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This research explores the application of Long Short-Term Memory (LSTM) networks for real-
time traffic prediction within 5G networks, aiming to address the critical need for accurate …

Segmentation of Retinal Blood Vessels in Fundus Images Using Fully Convolutional Networks

G Vijayalakshmi, M Al-Farouni… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Segmentation is mandatory to analyze retinal blood vessel indication for diagnosis of
various ophthalmic and systemic disorders. This paper takes a look at this problem …

User Mobility Prediction in 5G Networks Using Recurrent Neural Networks

A Shrestha, V Sharma, L Hussein… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The use of new possibilities introduced by 5G networks also creates new problems and
concerns, specifically in the field of user mobility in wireless communication systems. In this …

Leveraging Grey Wolf Optimizer for Reliable Data Transmission in Underwater Wireless Sensor Networks

G Umamahesh, S Senthurya… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This research investigates the application of the Grey Wolf Optimizer (GWO) to enhance
reliable data transmission in Underwater Wireless Sensor Networks (UWSNs). UWSNs are …

Moth-Flame Optimization for Improving UWSNs Performance

K Al-Attabi, E Aswini, AP Singh… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This study aims to examine Moth-Flame Optimization (MFO) algorithm by proposing the use
in improving the UWSNs system. UWSNs are indispensable for numerous underwater …

AI-Powered Network Intrusion Detection Systems

A Vikram, AH Shnain, R Jeet, C Vennila… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This study aims at analyzing and outlining an AI-based NIDS design and comparing different
implementation models to improve the current state of network protection. Current NIDS do …

Next-Generation Sequencing Data Compression and Storage Solutions

S Pandey, JS Arora, ALA Kassem… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
They produce huge amount of data which require efficient compression and management
mechanisms hence the need to adopt Next-Generation Sequencing (NGS). In this paper, the …

Predictive Analytics for Network Traffic Management

N Jain, SO Husain, S Goyal… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
It examines how this can be applied to monitoring network traffic and carrying out predictive
analysis to improve the functionality and effectiveness of network management. The study …