This paper introduces the Input Amplification (InAmp) module, a deep learning (DL)
innovation designed to enable DL models to automatically learn class-specific spectral …

Fire poses a huge safety risk to heritage or historic buildings. Traditional approaches are
unsuitable because of their high false alarm rates, delayed features, and vulnerability in …

The threat of fire is pervasive, poses significant risks to the environment, and may include
potential fatalities, property devastation, and socioeconomic disruption. Successfully …

Ship fire may result in significant damage to its structure and large economic loss. Hence,
the prompt identification of fires is essential in order to provide prompt reactions and …

Forest fires result in severe disaster, causing significant ecological damage and substantial
economic losses. Flames and smoke represent the predominant characteristics of forest …

As the foundation of circuits and electronic systems, the quality of printed circuit boards
(PCBs) is directly related to the reliability of the whole system. At present, deep learning …

Fire incidents pose severe threats to life, property, and the environment, accounting for
significant losses worldwide. Traditional sensing technologies exhibit limitations in …

This study tackles the intrinsic difficulties that come with fighting fire and addresses the
urgent need to improve fire detection techniques. This study thoroughly assesses well …