What are the ethical considerations related to using AI in urban environments?

Feb 18, 2021 ... The proposed model is called parallel LSTM-CNN Network or PLCNet. Two real-world data sets, namely “hourly load consumption of Malaysia ” as ... A convolutional neural network (CNN/ConvNet) is a class of deep neural networks, most commonly applied to analyze visual imagery. Aug 26, 2020 ... Object detection: With CNN, we now have sophisticated models like R-CNN ... machine learning, and artificial intelligence professionals. Fundamental difference between convolutional neural network (CNN) and conventional machine learning is that, rather than using hand-crafted features, such as ... This theoretical spotlights on creating iris distinguishing proof frameworks using machine learning and CNN-based image processing. ... CNN Based Image Processing ... Feb 23, 2023 ... The CNN and recurrent including LSTM and GRU are all supported on GPU using the native Deep Learning package. Mar 25, 2023 ... In this paper, we compared and explored the two methodologies on the DEMoS dataset consisting of 8869 audio files of 58 speakers in different emotional states. Nov 28, 2022 ... In this study, different deep CNN models with multiple machine learning classifiers are investigated for monkeypox disease diagnosis using ... Mar 19, 2022 ... What is R-CNN? R-CNN or RCNN, stands for Region-Based Convolutional Neural Network. It is a type of machine learning model for computer vision ... 3 From CNN to Faster R-CNN. Deep learning (DL) is a subfield of machine learning which attempts to acquire high-level abstractions in data by utilising ...