Transformer-Based Fire Detection in Videos.

Fire detection in videos forms a valuable feature in surveillance systems, as its utilization can prevent hazardous situations. The combination of an accurate and fast model is necessary for the effective confrontation of this significant task. In this work, a transformer-based network for the detection of fire in videos is proposed.

Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks.

The undeniable computational power of artificial neural networks has granted the scientific community the ability to exploit the available data in ways previously inconceivable. However, deep neural networks require an overwhelming quantity of data in order to interpret the underlying connections between them, and therefore, be able to complete the specific task that they have been assigned to. Feeding a deep neural network with vast amounts of data usually ensures efficiency, but may, however, harm the network's ability to generalize.

ICT Services for Life Improvement for the Elderly.

Integrated care ICT Platform to support patients, care-givers and health/social professionals in the care of dementia and Parkinson's disease with training, empowerment, sensor-based data analysis and cooperation services based on user-friendly interfaces.