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Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient...
Preface
Introduction
Image analysis for surveillance: detecting fire and smoke incidents
Enhancing COVID-19 safety measures with AI-powered video analysis
Deep learning approaches for fingerprint image restoration
Deep learning for classification and localization of multiple abnormalities on chest X-ray images
Real-time stroke detection based on deep learning and federated learning
Efficient identification of bag-breakup in continuous airflow via video analysis
Conclusions and recommendations