Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers
This study examines the formidable and complex challenge of insider threats to
organizational security, addressing risks such as ransomware incidents, data breaches, and …
organizational security, addressing risks such as ransomware incidents, data breaches, and …
Yolov8 utilization in occupational health and safety
The field of occupational health and safety focuses on minimizing losses by preserving and
protecting human and physical assets in workplaces. This discipline involves monitoring …
protecting human and physical assets in workplaces. This discipline involves monitoring …
Computer-vision unmanned aerial vehicle detection system using yolov8 architectures
This work aims to test the performance of the you only look once version 8 (YOLOv8) model
for the problem of drone detection. Drones are very slightly regulated and standards need to …
for the problem of drone detection. Drones are very slightly regulated and standards need to …
[HTML][HTML] Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications
The limited nature of fossil resources and their unsustainable characteristics have led to
increased interest in renewable sources. However, significant work remains to be carried out …
increased interest in renewable sources. However, significant work remains to be carried out …
Research on SAR image quality evaluation method based on improved harris hawk optimization algorithm and XGBoost
M Huang, H Zhao, Y Chen - Scientific Reports, 2024 - nature.com
Synthetic aperture radar (SAR) is crucial for military reconnaissance and remote sensing,
but image quality can be affected by various factors, impacting target detection performance …
but image quality can be affected by various factors, impacting target detection performance …
Generative Adversarial Network for Data Augmentation and Substitution
The healthcare industry undergoes a transformative shift with the integration of artificial
intelligence (AI), particularly in medical imaging analysis. AI algorithms, trained on extensive …
intelligence (AI), particularly in medical imaging analysis. AI algorithms, trained on extensive …
Steam players count prediction using GRU optimized by modified PSO
Accurate prediction of Steam players count is vital for efficient resource management,
informed decision-making, and ability to maximize the potential of each game over its entire …
informed decision-making, and ability to maximize the potential of each game over its entire …
Forecasting Solar Energy Substation Voltages Using Metaheuristic Optimized GRU
As global energy demand grows, renewable sources offer a key alternative to fossil fuels.
However, integrating these sources into power grids presents challenges, especially with …
However, integrating these sources into power grids presents challenges, especially with …
Optimizing Convolutional Networks Using a Modified Metaheuristic for Apple Tree Leaf Disease Detection
The global demand for food is continuously increasing. The use of artificial intelligence can
vastly improve the field of agriculture. Computer vision can help detect issues with crops …
vastly improve the field of agriculture. Computer vision can help detect issues with crops …
Natural Language Processing Approach for Fake News Detection Using Metaheuristics Optimized Extreme Gradient Boosting
The problem of fake news can be dangerous, as widely spread misinformation can cause
serious physical and psychological harm. In the age of digitization and artificial intelligence …
serious physical and psychological harm. In the age of digitization and artificial intelligence …