smart cities

Violence detection in video surveillance systems is a critical challenge for ensuring public safety in smart cities.  This study presents a comprehensive analysis of deep learning architectures and transfer learning techniques for violence detection, evaluating their performance across benchmark datasets, including Hockey Fight, Movies, and UCF-Crime.  ResNet50, MobileNetV2, ConvLSTM, DenseNet121, and Xception models are compared in terms of accuracy, computational efficiency, and real-world applicability.  Results highlight ResNet50 as the most effective model, achievi

Environmental issues in the world are perhaps the most urgent nowadays. Issues of global warming, of environmental pollution, destruction of nature – these and other themes sound from media every day.

The main factors of the negative impact on the ecology of our planet are cities and great industries. Nowadays in cities live . of all humanity on the planet. Both big cities and small towns strive to achieve status “smart” city, some of them already reached this status, mostly the megacities.