What are the potential impacts of AI-driven automation on different industries and job roles?

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production. Electric Power Systems Research, 2022, 208 ... ... CNN; Deep neural network; RT-PCR; Computer model. Received: October 27, 2022 ... Machine Learning With Applications, 6, 100138. https://doi.org/10.1016 ... Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Proceedings. Editors, Ahmed ... Explore CNNs in self-driving cars, including reinforcement learning and Partially Observable Markov Decision Processes. Apr 17, 2020 ... Convolution in Convolutional Neural Networks. The convolutional neural network, or CNN for short, is a specialized type of neural network model ... Mar 28, 2024 ... SANS-CNN is designed specifically for astronaut ophthalmic health and demonstrates robust detection of SANS-like conditions when compared to ... Mar 25, 2025 ... We introduce CNN-TumorNet, an innovative method for brain tumor classification utilizing a deep convolutional neural network (CNN) for the ... We have proposed a deep learning method called BCM-SegNet, an optimized Mask R-CNN-based algorithm for segmenting BSE images of bronze casting moulds and cores. Aug 26, 2020 ... Object detection: With CNN, we now have sophisticated models like R-CNN ... machine learning, and artificial intelligence professionals. Apr 12, 2025 ... CNN in deep learning excels at image classification, which involves sorting images into predefined categories. They can effectively identify ...