Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...
The adoption of management techniques that reduce the impact of timber harvesting can promote the recovery of tropical forests, such as the Amazon, and store carbon in the long term while maintaining ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...
ABSTRACT: Predicting knowledge of tuberculosis (TB) could imply several significant changes in the management, control and prevention of this disease. These would be based on advanced technological ...
Abstract: Intelligent transportation systems are increasingly reliant on precise and efficient vehicle classification to support traffic management, safety applications, and infrastructure planning.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results