Multimodal Large Language Models (MLLMs) have attracted much attention for their multifunctionality. However, traditional Transformer architectures incur significant overhead due to their secondary ...
Many studies of intelligent electricity must ascertain the running state of appliances/devices based on the electricity situation of users. In this article, we present the current pattern-based ...
Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
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XRP is down nearly 10% as patterns from 2022 suggest more downside risk is ahead. Falling price with declining volume signals weak conviction and limited dip-buying. A break below key support levels ...
Ever since the Crysta left us to make space for the Hycross in our garage, I had been missing it. For some reason, scale models of everyday, regular cars excite me much more than scale models of ...
Abstract: Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency ...
Abstract: This letter presents a dual-band, dual-mode antenna with an omnidirectional radiation pattern in the lower band (LB) and reconfigurable pattern in the upper band (UB) for wireless body area ...