Although these methods (e.g., lightweight structural design, model pruning (MP), and model quantization) can reduce the deployment difficulty of deep-learning models in insulator defect (ID) detection ...

Knowledge distillation (KD) is a prevalent model compression technique in deep learning, aiming to leverage knowledge from a large teacher model to enhance the training of a smaller student model. It ...

E&Ps are being faced with the challenge of what to do with a whopping 22 MMbbl/d of produced water this year. The problem could be an opportunity for midstream companies or those hoping to capitalize ...

With comparatively lower carbon emissions than many traditional fuels and a growing renewable supply chain, propane is positioned to play a supporting role in the transition to cleaner energy, ...