Rumor Detection with a novel graph neural network approach
The wide spread of rumors on social media has caused a negative impact on people's daily
life, leading to potential panic, fear, and mental health problems for the public. How to …
life, leading to potential panic, fear, and mental health problems for the public. How to …
Adaptive ensembles of fine-tuned transformers for llm-generated text detection
Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …
textual content, underscoring the necessity for effective fake text detection to avoid potential …
Digital Transformation and its Impact on Safety Culture During Organizational Change
SO Ojji - Valley International Journal Digital Library, 2024 - vipublisher.com
In today's era of rapid technological advancements, organizations are increasingly
embracing digital transformation as a pivotal strategy to enhance their competitiveness and …
embracing digital transformation as a pivotal strategy to enhance their competitiveness and …
[HTML][HTML] Threshold Active Learning Approach for Physical Violence Detection on Images Obtained from Video (Frame-Level) Using Pre-Trained Deep Learning Neural …
IM Abundez, R Alejo, F Primero Primero… - Algorithms, 2024 - mdpi.com
Public authorities and private companies have used video cameras as part of surveillance
systems, and one of their objectives is the rapid detection of physically violent actions. This …
systems, and one of their objectives is the rapid detection of physically violent actions. This …
Application of research on carbon neutral strategy of physical education teaching based on attention mechanism in digital energy transformation
T Yuan, F Cai, HJ Han - Frontiers in Environmental Science, 2024 - frontiersin.org
With the global goal of carbon neutrality being emphasized, the implementation of carbon-
neutral strategies has become a crucial task across various domains. As an integral part of …
neutral strategies has become a crucial task across various domains. As an integral part of …
Automatic Classification of White Blood Cells Using a Semi-Supervised Convolutional Neural Network
H Song, Z Wang - IEEE Access, 2024 - ieeexplore.ieee.org
The correct classification of white blood cell subtypes is critical in the diagnosis of blood
disease. However, the performance of classical computer vision-based classification …
disease. However, the performance of classical computer vision-based classification …
Emerging Technology Integration-Artificial Intelligence (AI) and Machine Learning (ML) for Predictive Analysis for Safety and Toxicity Assessment in Environmental …
SO Ojji - Valley International Journal Digital Library, 2024 - vipublisher.com
Environmental toxicology is facing unprecedented challenges due to the escalating
complexity of environmental issues. Traditional methodologies for safety and toxicity …
complexity of environmental issues. Traditional methodologies for safety and toxicity …
Advancing Power System Resilience through Information Network Security
Z Lin - International Journal of Computer Science and …, 2024 - wepub.org
With the continuous development of informatization in the power industry, the importance of
information security is becoming more and more prominent, and the test faced by the …
information security is becoming more and more prominent, and the test faced by the …
Machine Learning Based Prediction of Water Demand in Megacities: A Case Study of Beijing
H Fu, S Xiang, X Kong - Journal of Industrial Engineering and …, 2024 - suaspress.org
With the acceleration of urbanization, smart cities are increasingly entering the public
consciousness. Beijing, a city facing severe water scarcity, has seen some relief in its water …
consciousness. Beijing, a city facing severe water scarcity, has seen some relief in its water …
Transmitter Localization and Optimizing Initial State in Classical/Quantum Sensor Networks
C Zhan - 2024 - search.proquest.com
In shared spectrum systems, it is important to be able to localize simultaneously present
multiple intruders (unauthorized transmitters) to effectively protect a shared spectrum from …
multiple intruders (unauthorized transmitters) to effectively protect a shared spectrum from …